CLOUDMAP - User Consultation report

Authors: Hans Roozekrans and Paul de Valk, KNMI

1. Introduction

The task of KNMI within the CLOUDMAP project is to evaluate the potential end-use of CLOUDMAP products and techniques by the European meteorological and climate research community. For this purpose KNMI has performed a "roadshow" among relevant user-institutes in Europe. The roadshow consisted of five meetings, held in five different countries:

During these meetings the CLOUDMAP evaluators from KNMI have met potential end-users and experts on cloud information from satellites with the purpose to obtain feedback on the CLOUDMAP project itself and its applicability in real practice. Over a hundred people took part in the five different meetings. The agendas of the one-day meetings were conducted in consultation with the local hosts. The morning part of all meetings was programmed in the same way. First, Hans Roozekrans of KNMI gave a one-hour presentation of the CLOUDMAP project to a larger audience (varying from 10 to 25 people). The CLOUDMAP techniques (stereo matching, O2 A band retrievals, contrail detection), examples of products and some validation results were presented. After coffee break a discussion-round of another hour was held using ten statements, prepared by KNMI. At DWD, LMD and SMHI small meetings with three types of end-users (forecasters, NWP modellers, and climate researchers) were held in the afternoon. At the Met Office it was decided for logistic reasons to deviate from this proven concept and to repeat the morning programme in the afternoon. The morning programme was focused on the use of CLOUDMAP in operational forecasting and the afternoon programme on the use in NWP and climate research. At KNMI no afternoon activities were programmed.

2. General conclusions of the "roadshow"

In the many discussions during the roadshow many end-users expressed a lot of opinions on the application of satellite cloud data in general and on CLOUDMAP products in particular. Detailed reports of the discussions can be found in the individual meeting reports, enclosed in this report as appendices:

Appendix A: meeting at DWD

Appendix B: meeting at LMD

Appendix C: meeting at The Met Office

Appendix D: meeting at SMHI

Appendix E: meeting at KNMI

The consulted user communities are asked for their opinions on the success of the CLOUDMAP project. The users were also asked for their opinions on the potential application of CLOUDMAP products in the three target application fields. In this paragraph it is tried to reflect the highest common factor of all these user opinions.

General judgement of the success of CLOUDMAP:

The CLOUDMAP project can not (yet) be considered as a major forward step in satellite cloud meteorology and climatology. However,

Application of CLOUDMAP in operational forecasting/nowcasting:

Application of CLOUDMAP in numerical weather prediction (NWP):

Application of CLOUDMAP in climate research:

Other "user" remarks on CLOUDMAP:

APPENDIX A: Report on the meeting at the Deutsche Wetterdienst (DWD)

Date: September 19, 2000

Venue: DWD headquarter in Offenbach, Germany

CLOUDMAP delegates: Hans Roozekrans and Paul de Valk (KNMI)

1. Introduction

The first trip in the roadshow was to the Deutsche Wetterdienst (DWD) in Offenbach. DWD was chosen because it is one of the major national weather services in Europe and because it is hosting the Climate Satellite Application Facility (SAF) of EUMETSAT. An agenda for the one-day meeting was conducted in consultation with the host at DWD, Wolfgang Benesch:

9:30 -10:30 Introduction to the CLOUDMAP project and results (by Hans Roozekrans, KNMI)
10:30 - 11:00 Coffee, informal discussion
11:00 - 12:30 Discussion using prepared statements
12:30 - 14:00 Lunch, informal discussion
14:00 - 16:00 Bilateral interaction with three groups of end-users: forecasters, NWP modellers, and the Climate SAF group

Jochen Kerkmann of EUMETSAT attended the morning programme with the aim to provide his view on the potential applicability of CLOUDMAP techniques in future EUMETSAT satellite programmes.

2. Results of the meeting at DWD

This first meeting of the CLOUDMAP roadshow was a sort of a try-out to experience the effectiveness of the chosen format. The CLOUDMAP representatives from KNMI and the end-users and experts from DWD and EUMETSAT were quite happy with the formula. For both sides the meeting turned out to be very beneficial. Knowledge on new retrieval techniques for cloud information was brought to the end-users and useful feedback on the applicability of CLOUDMAP was given back in return. The sessions with individuals and smaller groups in the afternoon were beneficial too, especially for the settlement of future co-operation on data-collection in the framework of CLOUDMAP2 and the Climate SAF project (of which DWD is host).

The main conclusions of the DWD meeting are:

3. Detailed feedback of the end-users

The following persons attended the morning programme of the roadshow meeting at DWD. The initials (in alphabetic order) in the first column are used in this discussion report to identify persons who took part in the discussion. The comments made by the individual participants are not verbatim represented in this report and should not be treated as official.

Ini.

Name

Affiliation

E-mail address

AG

Annegret Gratzki

Remote Sensing division, DWD

Annegret.Gratzki@dwd.de

DM

D. Meyer

Forecaster, DWD

 

GM

Gerhard Mueller-Westermein

FE Climatology, DWD

Gerhard.Mueller-Westermein@dwd.de

GR

G. Rampe

FE Coordination, DWD

 

GW

Gabriele Wollenweber

Remote Sensing division, DWD

Gabriele.Wollenweber@dwd.de

HR

Hans Roozekrans

Satellite Data Division, KNMI

Hans.Roozekrans@knmi.nl

KD

Klaus Demmler

Department of Forecasting, DWD

Klaus.Demmler@dwd.de

JK

Jochen Kerkmann

Meteorological division, EUMETSAT

Kerkmann@eumetsat.de

PV

Paul de Valk

Satellite Data division, KNMI

Paul.de.Valk@knmi.nl

RB

Ralf Becker

Remote Sensing division, DWD

Ralf.Becker@dwd.de

RU

Rolf Ullrich

FE Climatology, DWD

Rolf.Ullrich@dwd.de

WB

Wolfgang Benesch

Remote Sensing division, DWD

Wolfgang.Benesch@dwd.de

The introduction to CLOUDMAP triggered some questions and remarks:

Reply by HR: DLR has integrated a surface dependency in its contrail detection algorithm. The shown contrail maps should be realistic.

Discussion using prepared statements

Statement 1: End-users require satellite cloud products that are independent of additional (e.g. NWP models, synops, etc.) data sources.

KD: Independent data are not directly advantageous for the forecaster, but advantageous via use of NWP through a (more) correct height assignment of clouds.

DM: It has direct added value for aviation meteorology.

WB: Which observation provides the ‘true’ height assignment? Satellite information has to be compared to other (ground based) observations.

AG: The stereo derived CTH is interesting when applied to semi-transparent clouds. Semi-transparency hampers a correct CTH assignment using the conventional brightness temperature technique.

JK: A correct CTH is valuable for use of cloud derived atmospheric motion vectors (AMV) in NWP (better height assignment of AMV).

WB: A correct CTH has added value for rise estimates of convective clouds (requires however a high sampling frequency e.g. every 5 minutes). It provides information for precipitation estimation.

GM: All data is welcome for climate research.

WB: Clouds themselves are not input for a NWP model.

JK: Clouds are not yet assimilated in NWP. UK Met. Office is the first to work on the assimilation of clouds.

HR: At KNMI METEOSAT clouds (location and coverage) are used for initialisation of a NWP short range cloud forecasting purpose. Plans are made to do the same in the HIRLAM model.

Statement 2: The present and future operational satellite cloud data (METEOSAT, MSG, NOAA, Metop) are/will be sufficient for end-users.

KD: Operational data are not bad. Whatever improvement may come, higher observation frequency or higher vertical/horizontal resolution, the availability of visualisation techniques will be the bottleneck.

WB: For the forecaster it will not be feasible to look at all the channel data of MSG. It will be necessary to provide products to the forecasters.

GW: There will be always a need for new satellites and techniques.

JK: General cloud products at an hourly rate are sufficient. Higher frequency is beneficial for nowcasting of convective situations.

KD: The question is: do we have the time to look at the evolution by using the raw channel data? We need products that guide us.

GR: We certainly do not have time to analyse this.

AG: What is the lee time that customers want to be warned on short time notice? 15 minutes?

KD: For aviation, yes, but we do not have the tools.

JK: There are severe weather warnings in Italy where the lee time is several minutes (in convective systems)

WB: There have been requests from the fire brigade to monitor severe weather. My personal opinion is that the present situation is not satisfying. E.g. METEOSAT does not provide reliable information for low clouds and/or fog. NOAA/AVHRR has a too low sampling frequency. MSG promises to be useful (however, the horizontal resolution is marginal, especially at the northern latitudes where Germany is located). The higher frequency at 15 minutes sampling interval is a big step forward, together with MSG products as 3D cloud information, cloud top height, cloud (micro) physical properties, cloud phase, etc.

AG: For climate research there is room for improvement, e.g. higher resolution than the ISCCP data set, better surface radiation, better TOA radiation. Part of this will be covered by the Climate SAF.

Statement 3: Considering the quality is acceptable, end-use of CLOUDMAP products can only be successful if priority is set to the improvement of

  • Vertical resolution
  • Area coverage
  • Temporal resolution
  • WB: The first step is to check if products can be made operational (information on the operational accessibility of CLOUDMAP products was missing in the presentation). Data are only usable when they can be produced operationally, and when continuity can be guaranteed. The next step is then a solid validation.

    Statement 4: CLOUDMAP contrail products are relevant for / applicable in:

  • Operational forecasting/nowcasting
  • NWP models
  • Climate models (radiation budgets?)
  • KD: Contrails might be helpful for military forecasting.

    GW: Definitely for climate research (earth radiation budget mapping)

    WB: Certainly not in NWP. Contrail climatology maps can be used to increase the awareness of the public through the media.

    Statement 5: Application fields of CLOUDMAP products with the highest probability of value adding are:

  • Operational forecasting/nowcasting
  • NWP / GCM parameterisation
  • Climate research (in general)
  • GW: It really depends on the quality of e.g. the optical thickness.

    WB: Products are perhaps usable for NWP.

    AG: CLOUDMAP CTH products can be used to validate CTH of MSG.

    AG: When stereo CTH is proven to be of better quality than brightness temperature derived CTH than there will be support to propose this for MSG. It can then serve nowcasting purposes.

    Statement 6: In case the requirements to timeliness and data frequency can be met by CLOUDMAP, potential application fields are:

  • Aviation forecasting/nowcasting
  • Real-time NWP model check/validation
  • Data-assimilation in NWP models
  • KD: Aviation meteorology: clear interest

    DM: Data can be used to check model output. It supplies information about the quality of the model run.

    WB: The third point raises the question which technique is applied in the NWP model: optimal interpolation or variational data assimilation?

    Statement 7: CLOUDMAP products have potential to be used for validation/ calibration of operational satellite cloud products; e.g. MPEF or SAF (NWC, Climate) products.

    AG: Yes, any data is welcome.

    JK: I have doubts. The potential is very much related to the accuracy. If different techniques have the same accuracy it is not possible to determine which technique supplies the correct CTH. Lidar observations have high potential for providing ground truth on CTH.

    WB: A consensus statement is that it can be used for verification of operational cloud products.

    Statement 8: CLOUDMAP techniques have potential to be applied to or implemented on future meteorological satellites.

    JK: EUMETSAT policy: a technique first has to be proven technology before it will be operational implemented.

    WB: What is the added value? Stereo matching derived CTH seems to have added value. If 2 geostationary satellites are available why not use the stereo matching technique. The O2 forbidden oxygen band research is ongoing and not fully proven. I would prefer to wait for the results.

    JK: Multi-viewing angles look promising for various purposes: sea surfaces, land applications, clouds. It is however wise to wait for the research results.

    JK: The possibility of exploring the stereo technique by using METEOSAT 5 and 7 was not supported earlier by the Science Working Group of EUMETSAT.

    WB: Now, I would support the use of stereo techniques.

    Statement 9: At the end CLOUDMAP will contribute to the availability of more accurate cloud information from satellites.

    GW: The application potential of CLOUDMAP depends on the quality and temporal resolution.

    AG: For climate research it could be useful to differ between contrails and cirrus clouds.

    JK: The quality of derived optical cloud properties in CLOUDMAP is poorly validated. I would evaluate this with a negative mark.

    WB: The results are interesting, but from an operational point of view the CLOUDMAP results are not (yet) a big step forward.

    Open discussion:

    KD: Who is going to fund these new techniques?

    GW: I missed a link to GOME.

    HR: This is related to the coarse horizontal resolution of GOME.

    WB: CLOUDMAP1 is nearly finished. CLOUDMAP2 will focus on validation. Perhaps the Lindenberg site can be of interest, providing continuous Lidar and microwave sounder data.

    Afternoon programme

    In this part of the programme individual end-users within the three target groups (forecasting, NWP and climate research) were (on-line) introduced to the CLOUDMAP Web site. During this introduction the applicability and limitations of the CLOUDMAP products and techniques were discussed. At the end of each session the end-users were asked to reply to the end-user evaluation questionnaire. Three sessions of an hour each were held.

    Session 1:

    Participants: Klaus Bähnke and Micheal Goethel (both operational forecasters)

    The forecasters had a positive reaction on the stereo and O2 band CTH products mainly because of its independent character. They had some worries about the occasional difference between the optical and thermal stereo CTH results. For an operational forecaster, having not too much time during the shifts, this will need too much interpretation. Therefore, a more integrated end product is advised.

    Applications of CTH in operational forecasting/nowcasting:

    The droplet concentration product is found to be very useful for the objective analysis of NWP models.

    Session 2:

    Participant: Bodo Ritter (NWP modeller)

    The independently derived CTH is found to be useful for calibration and validation of NWP models. Currently, CTH is not directly assimilated in the NWP model of DWD (the EUMETSAT Cloud Motion winds are used). The problem with CTH assimilation is the definition of the CTH. This is very much related to the spectral response of the clouds. In the DWD NWP model three rather broad spectral bands are used to define CTH. If e.g. ATSR stereo CTH data are used for NWP-assimilation a translation of the narrow ATSR bands to the broad bands (as now used in NWP) must be performed.

    Session 3:

    Participants: Annegret Gratzki, Gabi Wollenweber and Heinrich Woick (the DWD team working on the Climate Monitoring SAF)

    The future of the application of space technology in meteorology and climate research was discussed. Heinrich Woick has heard signs within the meteorological community that the future will be dominated by multi-spectral sensors like MODIS and MERIS. This fits well to the CLOUDMAP2 project!

    Furthermore, the potential use of CLOUDMAP products in the Climate SAF was discussed. The time path of CLOUDMAP2 fits very well to the time path of the development phase of the Climate SAF. Both projects will end by the end of 2003. Co-operation between both projects seems very logical and beneficial for both. The Climate SAF group identifies itself as an obvious potential end-user of CLOUDMAP.

    Back to main report

    APPENDIX B: Report of the meeting at the Laboratoire de Météorologie Dynamique (LMD)

    Date: October 6, 2000

    Venue: Université de Jussieu in Paris, France

    CLOUDMAP delegates: Hans Roozekrans and Paul de Valk (KNMI)

    1. Introduction

    This report reflects the second trip in the roadshow to the Laboratoire de Météorologie Dynamique (LMD) in Paris. LMD was chosen because it is one of the major climate research institutes in Europe. An agenda for the one-day meeting was conducted in consultation with the host at LMD, Michel Desbois:

    9:30 -10:30 Introduction to the CLOUDMAP project and results (by Hans Roozekrans, KNMI)
    10:30 - 11:00 Coffee, informal discussion
    11:00 - 12:30 Discussion using prepared statements
    12:30 - 14:00 Lunch, informal discussion
    14:00 - 16:00 Bilateral interaction with three groups of end-users.

    2. Results of the meeting at LMD

    In this second meeting of the CLOUDMAP roadshow the formula of the first meeting at DWD was used again. Again it worked out quite beneficial for both sides. The introduction to CLOUDMAP in the morning was followed by a fruitful and lively discussion focused on the application of CLOUDMAP in climate research. The sessions with individuals and smaller groups in the afternoon were beneficial too, especially for the settlement of future co-operation on data-collection in the framework of CLOUDMAP2 and the experiments LMD is participating in.

    The main conclusions of the LMD meeting are:

    The LMD judgement on the CLOUDMAP project: interesting and promising.

    3. Feedback of the end-users

    The following persons attended the morning programme of the roadshow meeting at LMD. The initials (in alphabetic order) in the first column are used in this discussion report to identify persons who took part in the discussion. The comments made by the individual participants are not verbatim represented in this report and should not be treated as official.

    Ini.

    Name

    Affiliation

    E-mail address

    FP

    Frederic Parol

    Assistant professor LOA, LMD

    Parol@univ-lille1.fr

    GS

    Genevieve Seze

    Charge de Recherche, LMD

    Seze@lmd.jussieu.fr

    HC

    Helene Chepfer

    Assistant professor, LMD

    Chepfer@lmd.polytechnique.fr

    HR

    Hans Roozekrans

    Satellite Data Division, KNMI

    Hans.Roozekrans@knmi.nl

    IM

    Ionela Musat

    Post-doc Climate Research, LMD

    Musat@lmd.jussieu,fr

    JYG

    Jean Yves Grandpeix

    Charge de Recherche, LMD

    Jyg@lmd.jussieu.fr

    MD

    Michel Desbois

    Vice director of Climate, LMD

    Desbois@lmd.polytechnique.fr

    PC

    Pierre Couvert

    Physicist, LSCE-CEA. Saclay

    Couvert@isce.saclay.cea.fr

    PV

    Paul de Valk

    Satellite Data Division, KNMI

    Paul.de.Valk@knmi.nl

    The introduction to CLOUDMAP triggered one remark

    MD: Cloud coverage is an essential climate parameter and is missing in the list of CLOUDMAP products.

    Discussion using prepared statements:

    Statement 1: End-users require satellite cloud products that are validated, although proper validation of most cloud parameters is difficult or hardly possible.

    MD: End-users will have to use not-validated data, as e.g. droplet size distribution, as there is no other way to obtain this data.

    PC: Satellites observe clouds from above. This can only be validated in a limited number of selected cases.

    HC: Radar, Lidar, and radiosonde observations together provide a pretty complete description of the clouds.

    Statement 2: End-users require satellite cloud products that are independent of additional (e.g. NWP models, synops, etc.) data sources.

    MD: I agree.

    PC: It is important to have independent sources for comparison.

    JYG: What do you compare? Satellite data? This raises more questions. Which satellite data describes the situation best?

    MD: So, let several instruments produce different heights. The user has to determine which height is correct

    JYG: The user needs as many independent sources as possible. The drawback will be the amount of work involved to solve the problem when several methods disagree.

    Statement 3: The present and future operational satellite cloud data (METEOSAT, MSG, NOAA, Metop) are/will be sufficient for end-users.

    FP: This depends on the users. Still, some important information is lacking, and it is questionable if the future satellites will provide this information like liquid water path, and other microphysical properties

    MD: E.g. meteorological satellites lack microwave bands and therefore can not penetrate in the clouds.

    Statement 4: Considering the quality is acceptable, operational end-use of CLOUDMAP products can only be successful if priority is set to the improvement of

  • Temporal resolution
  • Area coverage
  • Operational data access
  • ?
  • GS: Important problem to be solved is the data gathering and collocation problem for case studies or projects. It would be beneficial if there would be a procedure in which the collocation of various products would be feasible. All products have different methods, resolutions and drawbacks. E.g. it would be nice if data of the future PICASSO mission could be plugged in a ‘complete database’ for usage in GCM’s.

    MD: We need more polar satellites for a better area coverage.

    Statement 5: CLOUDMAP contrail products are relevant for / applicable in:

  • Operational forecasting/nowcasting
  • NWP models
  • Climate models (radiation budgets?)
  • JYG: What do contrails tell us over the atmospheric conditions? Is it possible to make distinction between contrails and aerosols?

    HC: The impact of contrails on climate is still under study and an unsolved problem.

    GS: Contrail detection reveals certain atmospheric conditions.

    MD: I am not convinced of the usefulness of contrail products.

    Statement 6: Application fields of CLOUDMAP products with the highest probability of value adding are:

  • NWP / GCM parameterisation
  • Climate research (in general)
  • ?
  • MD: Yes, the CLOUDMAP products can have an added value for climate research and parameterisation in GCM.

    Statement 7: In case the requirements to timeliness and data frequency can be met by CLOUDMAP products, potential application fields are:

  • Aviation forecasting/nowcasting
  • Real-time verification of NWP models
  • Real-time assimilation in NWP models
  • MD: Good observations of cloud tops can help the forecasting of convective systems

    JYG: Anvil level rise requires top-down observations.

    MD: It is/can become relevant for the cloud initialisation of models.

    Statement 8: CLOUDMAP products have potential to be used for validation/ calibration of operational satellite cloud products; e.g. MPEF or SAF (Nowcasting, Climate) products.

    MD: It can help the Nowcasting SAF to improve their cloud products.

    GS: The nowcasting SAF group in Lannion asked for POLDER observation for CTH to compare to MSG CTH. It stresses my previous point (see statement 4). With more complete data sets available we will converge more to the ‘true’ atmospheric conditions.

    MD: I want to underline that climate research requires robust products. In the Climate SAF there should not be too many new products.

    Statement 9: CLOUDMAP techniques have potential to be applied to or implemented on future meteorological satellites.

    MD: When the CLOUDMAP techniques are proven then, yes, they will have future potential.

    Statement 10: At the end CLOUDMAP will contribute to the availability of more accurate and independent cloud information from satellites (the original justification of the CLOUDMAP project).

    MD: Not yet. The presentation contained interesting elements. However, we would favour an expansion of the number of case studies in which the merits of the products are shown.

    FP: Of most cloud parameters there is not enough knowledge of their ‘true’ state. Any information would complement this data gap. The acceptance of the measurement as the representation of the atmospheric / cloud conditions depends on the end-user. It is difficult to give an absolute value for accurateness. Accurateness of CTH is completely different from e.g. optical thickness. It would be interesting if the liquid water path could be observed/obtained.

    PC: Accuracy is a vague concept in this context.

    Open Discussion:

    PC: From a climate point of view there is interest for data of the whole earth and not only of Europe.

    JYG: It would be interesting to involve CLOUDMAP2 in future field campaigns.

    Afternoon programme

    In this part of the programme individual end-users within the three target groups (forecasting, NWP and climate research) were (on-line) introduced to the CLOUDMAP Web site. During this introduction the applicability and limitations of the CLOUDMAP products and techniques were discussed. At the end of each session the end-users were asked to reply to the end-user evaluation questionnaire. Two sessions of an hour each were held.

    Session 1:

    Four participants (who all participated in the morning programme)

    During a tour through the CLOUDMAP Web pages the end-users looked for interesting cases that clearly show the added value of the stereo matching technique. Some ATSR stereo CTH maps of December 1998 show very well the ability to detect and map very thin cirrus (both over land and sea). Meanwhile the end-users had some criticism concerning the presentation of image results and graphs in the Web pages:

    All participants promised to fill in the "end-use" questionnaire later on.

    Session 2:

    Participant: Jean Yves Grandpeix (GCM expert)

    Jean Yves expressed his interest in the observation of convective systems. Particularly he is interested in observations of the height difference between CB tops and boundary layer clouds. The use of CLOUDMAP products/techniques for this purpose was discussed. Relevant cases were searched in the list of ATSR data in the CLOUDMAP Web site. However, most data are covering southern England in the autumn. Not too many CB’s can be expected then.

    Jean Yves mentioned some experiments, he is involved in, where CLOUDMAP products might be useful. The first was the TRAC experiment in July 1998. At a sight south west of Paris many cloud observations were done from the ground and from planes. It would be interesting to have some ATSR and MOS products of this period to compare with the TRAC results.

    The second experiment is likely to take place in 2003 at a sight in West-Africa. Data of this experiment might be helpful to validate CLOUDMAP2 results under tropical conditions.

    Back to main report

    APPENDIX C: Report of meeting at the UK Met Office

    Date: October 13, 2000

    Venue: The Met Office headquarters in Bracknell, UK

    CLOUDMAP delegates: Hans Roozekrans and Paul de Valk (KNMI); Jan-Peter Muller (UCL)

    1. Introduction

    This report reflects the third trip in the roadshow to the Met Office in Bracknell, UK. The Met Office was chosen because it is one of the major meteorological institutes in Europe and it contains the Hadley Centre, one of the largest climate research centres in Europe. The venue in Bracknell also gave the opportunity to NWP experts of ECMWF to attend the afternoon programme. For the same reason the CLOUDMAP project co-ordinator, Jan-Peter Muller of UCL, was able to attend the meeting, which was very helpful for the success of the meeting. The large interest of people attending the meeting forced a programme deviating from the other four roadshow meetings. This time the meeting was split into two identical programmes, focused on different target groups. An agenda for the one-day meeting was conducted in consultation with the host at the Met Office, Fiona Smith:

    Morning programme, focused on operational forecasting:

    9:30 -10:30

    Introduction to the CLOUDMAP project and results (by Hans Roozekrans, KNMI)

    10:30 - 11:00 Coffee, informal discussion
    11:00 - 12:30 Discussion using prepared statements
    12:30 - 13:30 Lunch, informal discussion

    Afternoon programme, focused on NWP and climate research:

    13:30 -14:30 Introduction to the CLOUDMAP project and results (by Hans Roozekrans, KNMI)
    14:30 - 14:45 The use of cloud information in NWP modelling at ECMWF by Jean-Francois Mahfouf (ECMWF)
    14:45 - 15:00 Coffee, informal discussion
    15:00 - 16:15 Discussion using prepared statements

    2. Results of the meeting at the Met Office.

    This third meeting of the CLOUDMAP roadshow again was a success. The local organiser had managed to mobilise large audiences for both programmes (especially for the afternoon).

    The main conclusions of the Met Office meeting were:

    The independent nature of the CLOUDMAP products is considered important, but not essential, by the end-user.

    3. Detailed feedback of the end-users

    Morning part (focused on operational forecasting/nowcasting)

    The following persons attended the morning programme of the roadshow meeting at the Met Office. The initials (in alphabetic order) in the first column are used in this discussion report to identify persons who took part in the discussion. The comments made by the individual participants are not verbatim represented in this report and should not be treated as official.

    Ini.

    Name

    Affiliation

    E-mail address

    BC

    Byron Chalcraft

    National Met Center, UKMO

    Bvchalcraft@meto.gov.uk

    BL

    Bob Lunnon

    Aviation applications, UKMO

    Rwlunnon@meto.gov.uk

    BO

    Bob Owens

    National Met Center, UKMO

    Rgowens@meto.gov.uk

    DH

    Dawn Harrison

    Radar R&D, UKMO

    Dlharrison@meto.gov.uk

    DJ

    Dave Jones

    National Met Center, UKMO

    Dcjones@meto.gov.uk

    EG

    Elanor Gowland

    Statistical forecasting + Defense Met, UKMO

    Egowland@meto.gov.uk

    FS

    Fiona Smith

    Satellite Applications, UKMO

    Kfsmith@meto.gov.uk

    HR

    Hans Roozekrans

    Satellite Data Division, KNMI

    Hans.Roozekrans@knmi.nl

    IB

    Ian Brown

    Satellite systems, UKMO

    Idbrown@meto.gov.uk

    JPM

    Jan-Peter Muller

    CLOUDMAP co-ordinator

    Geomatic Department; UCL

    Jpmuller@ge.ucl.ac.uk

    KC

    Kreya Cromarty

    MSG project member, UKMO

    has left UKMO in the meantime

    MB

    Michelle Byme

    Statistical forecasting + Defense Met, UKMO

    Mbyme@meto.gov.uk

    MG

    Mark Gibson

    Observation based Products, UKMO

    Mgibson@meto.gov.uk

    MY

    Martin Young

    National Met Center, UKMO

    Mvyoung@meto.gov.uk

    PR

    Perry Roe

    Defense Services, UKMO

    Proe@meto.gov.uk

    PV

    Paul de Valk

    Satellite Data Division, KNMI

    Paul.de.Valk@knmi.nl

    RB

    Roger Boast

    Defense Services, UKMO

    Rboast@meto.gov.uk

    RBr

    Rod Brown

    Observation based Products, UKMO

    Rbrown@meto.gov.uk

    RC

    Roger Carter

    Satellite systems manager, UKMO

    Rdcarter@meto.gov.uk

    RCh

    Robert Chadwick

    National Met Center, UKMO

    Rchadwick@meto.gov.uk

    RCr

    Ric Crocker

    Statistical forecasting + Defense Met, UKMO

    Rcroker@meto.gov.uk

    SB

    Stuart Bennett

    Statistical forecasting + Defense Met, UKMO

    Sbennett@meto.gov.uk

    SD

    Sid Clough

    NWP Visual analysis, UKMO

    Saclough@meto.gov.uk

    SE

    Steve English

    National Met Center, UKMO

    Senglish@meto.gov.uk

    SH

    Sean Healy

    National Met Center, UKMO

    Sbhealy@meto.gov.uk

    SW

    Sarah Watkin

    Satellite Applications, UKMO

    Scwatkin@meto.gov.uk

    TS

    Tania Scott

    Aviation applications, UKMO

    Trscott@meto.gov.uk

    The introduction to CLOUDMAP triggered some questions and remarks:

    BL: What is the effect of inaccurate knowledge of the surface albedo on the retrieval of the optical depth (using the O2 A band technique)?

    HR: We do not know (maybe inaccurate knowledge of the surface albedo will deteriorate the results).

    MY: Do you need some structure for stereo derived heights, and what is the lowest level from where you can obtain accurate cloud top height?

    HR: Yes, you need some structure. We don’t know (yet) about the accuracy at lower levels.

    RC: What are the requirements to sensors/satellites for stereo matching? What kind of spatial resolution is required?

    HR: Within CLOUDMAP some experiments with different stereo matching models (M5 and M7) and different sensors (ATSR, MOMS, MISR) have been performed. It seems that the spatial resolution of the ATSR (1-km) is about the limit to derive accurate results. Furthermore, the use of two satellites requires that both platforms simultaneously observe the same spot on earth.

    MY: The combination of cloud top height and optical thickness/ geometrical thickness could give us an indication of cloud base height.

    BL: Can you correct for the wind, in the ATSR imagery, given the 140 seconds observation difference?

    PV: There are limited possibilities for the across flight path direction. There are no corrections possible along the flight path.

    BO: Could you supply information about cloud top phase and/ or cloud particle radius?

    HR: The O2 A band technique can give information about the particle size. Concerning cloud phase, I’m not sure.

    Discussion using prepared statements

    Statement 1: End-users require satellite cloud products that are validated, although proper validation of most cloud parameters is difficult or hardly possible.

    MY: Validation of the CTH is important, but before this can be interpreted there is a requirement that the error structure is also known. On what do the errors depend? Knowing this we can use the new data with more confidence. The radiosondes provide us with cloud information and we are aware of its shortcomings. This helps us to interpret the radiosonde data. It is necessary to know and understand the error structure of any (new) product.

    BO: For aviation, satellite information on cloud top is not so important as radiosonde can be used instead. The cloud base is more important. For me the pattern is relevant, especially where it changes. Where are the cloud edges? Am I able to identify cumulonimbus cells i.e. glaciation of convective cloud tops indicating change from large cumulus to cumulonimbus? Are the clouds appearing or disappearing? Where do the first small cumuli appear? They might give me a hint of the location of a squall line. We require high data frequency to capture these developments. In my opinion the present cloud products are reasonably well validated.

    JPM: The key difficulty is the cloud base / top heights from radiosondes, they are sometimes worse than cloud top height and cloud base height derived from satellites. EUMETSAT uses sondes for their validation. From what source can we obtain accurate and independent cloud top height observations? We do have radar at Chilbolton and we have a passive microwave sounder.

    MY: Another opportunity might be AMDAR (commercial aircraft equipped with temperature and pressure sensors that measure during the flight including landing and starting), that provides profiles near airports. Future humidity information from AMDAR (not yet planned) would be useful for validation.

    Statement 2: End-users require satellite cloud products that are independent of additional (e.g. NWP models, synops, etc.) data sources.

    BO: Yes, we do need independent data.

    MY: Reading the announcement of this meeting the word that triggered me to come was "independent".

    BL: The stereo technique does not correct for cloud movements. So, the independent character of the CTH measurement is disputable. It would require NWP winds to correct for the movement. The correction could increase the accuracy from not acceptable to acceptable but simultaneously introduces an unwanted dependence on NWP.

    JPM: We could use MPEF (EUMETSAT) derived winds to have an NWP independent motion vector.

    BL: There is still a scale factor between METEOSAT/MSG and ATSR.

    JPM: For the MISR a new technique is applied in which the rotation of the earth is used. It supplies both cloud top height and wind field (motion vector). DLR have a LIDAR on the same platform to determine displacements.

    Statement 3: The present and future operational satellite cloud data (METEOSAT, MSG, NOAA, Metop) are/will be sufficient for end-users.

    MY: This is difficult to answer, as new technologies are always evolving.

    BO: Cloud phase, depth of the ice layer and in addition cumulus growth are the most needed cloud parameters and will be fairly well covered by the operational satellites.

    MY: A high density of super cooled drops is an indicator of strong vertical motion and could potentially enable early detection of thunderstorms. (Ref: the Rosenfeld presentation at the last EUMETSAT Conference in Bologna).

    BO: The droplet number density parameter enables a labeling of airmasses. This can be used to track in 3D the airmass, e.g. to follow the warm air in a conveyor belt.

    JPM: The case that is shown in the presentation only relates to stratocumuli. These clouds are easy to model by a plane parallel to the cloud. The appliance to geometrically thick clouds or multi-layer clouds is difficult. The effective radius represents the particle size in the whole cloud and in thick clouds the effective radius can change a lot from the bottom to the top of the cloud.

    BO: Are the CLOUDMAP techniques able to distinguish between raining clouds and non-precipitating clouds?

    JPM: Not with the satellites used in this CLOUDMAP project. However, the future satellites PICASSO and CLOUDSAT have a rain radar on board.

    BO: Would it be beneficial if future satellites could contain one integrated set of complementary instruments, or is it better to have several small satellites each containing different (but complementary) instruments?

    (No one in the audience could give a clear statement on this).

    Statement 4: Considering the quality is acceptable, operational end-use of CLOUDMAP products can only be successful if priority is set to the improvement of

  • Temporal resolution
  • Area coverage
  • Operational data access
  • ?
  • MY: Timeliness of the products is absolute essential in operational forecasting.

    BO: Data frequency. The trouble of polar orbiting satellites is their low frequency (3 to 6 hr intervals).

    JPM: ATSR imagery is available in near real time on an FTP site of ESA/ESRIN (with 3 hr time delay). MODIS data is available within 1 hr from Dundee, Lannion and DLR.

    FS: The Met Office nowcasting system (NIMROD) will benefit from high frequency, timely cloud products. Future MSG data will be complementary to high frequency radar imagery.

    HR: What about the frequency and timeliness of MISR data?

    JPM: The MISR (on board EOS/Terra) provides four images of the same area per day. The timeliness for common users is rather poor.

    BO: An estimate of the cloud top height growth would be a valuable addition. I am worried about the cloud base height. What about the surface reflectivity, can you adapt to changes? You can not rely on a climate data set. You have to observe the actual change in surface reflectivity.

    JPM: Albedo products are derived over a period of 16 days (snow product in1day). Improvements are under study.

    MY: What are the errors? Knowledge of these and an assessment indicator will increase user confidence.

    BO: You need different time frames for different phenomena e.g. for fog at least every 3 hr.

    Statement 5: CLOUDMAP contrail products are relevant for / applicable in:

  • Operational forecasting/nowcasting
  • NWP models
  • Climate models (radiation budgets?)
  • BL: I do see an application for defense meteorology: they are interested in a short range forecast on contrail forming conditions.

    BO: Contrails can be used as an indicator for atmospheric conditions.

    Statement 6: Application fields of CLOUDMAP products with the highest probability of value adding are:

  • NWP / GCM parameterisation
  • Climate research (in general)
  • ?
  • BL: I see an application in Nowcasting. What is the best possible frequency?

    JPM: We could find out at DLR. MISR passes 4 times per day at 2,11,14 and 23 hr.

    MY: Only when timeliness and frequency requirements are met. In how many years will these techniques become available for operational use?

    HR: If two MSG’s can be used for stereo matching then within 5 years.

    JPM: Synchronisation of line scans is an important item in case of using two MSG’s.

    MY: You have to see/use a technique in daily practice to be able to assess its usefulness.

    Statement 7: In case the requirements to timeliness and data frequency can be met by CLOUDMAP products, potential application fields are:

  • Aviation forecasting/nowcasting
  • Real-time verification of NWP models
  • Real-time assimilation in NWP models
  • BL: Cloud base height is more essential than cloud top height.

    JPM: New techniques will be exploited in CLOUDMAP2 where cloud base height is derived from an all sky infrared camera.

    BO: This is only land based, whereas cloud base height is relevant for search and rescue operations on sea. Also cloud base height upstream (mostly above the ocean) is relevant information for forecasters.

    JPM: MISR might contribute. At its large viewing angles it reveals the cloud base when there are broken clouds.

    Statement 8: CLOUDMAP products have potential to be used for validation/ calibration of operational satellite cloud products; e.g. MPEF or SAF (Nowcasting, Climate) products.

    FS: It is possible that we could use them to validate products developed in-house.

    JPM: For the construction of case studies, please, inform us about campaigns so that we can gather all the satellite information we have access to.

    Statement 9: CLOUDMAP techniques have potential to be applied to or implemented on future meteorological satellites.

    JPM: I would like to underline that end-users are invited by ESA to give input for research instrumentation. The explorer missions may open opportunities.

    Statement 10: At the end CLOUDMAP will contribute to the availability of more accurate and independent cloud information from satellites (the original justification of the CLOUDMAP project).

    BO: I am happy with the independence of the CLOUDMAP products. The absolute accuracy is not so important. The relative changes are more important.

    I am not so sure about the CLOUDMAP observation of phase changes.

    BO: I would like to see an error bar on the cloud top height.

    MY: The accuracy of fog top height would help to determine possible clearance time.

    BO: Opacity of fog/stratus gives an indication of the amount of radiation required to burn away the clouds.

    MY: Opacity is also relevant for an estimation of daylight power consumption for the power provide.

    Afternoon part (focused on use in NWP modelling and climate research)

    The following persons attended the afternoon programme of the roadshow meeting at the Met Office. The initials (in alphabetic order) in the first column are used in this discussion report to identify persons who took part in the discussion. The comments made by the individual participants are not verbatim represented in this report and should not be treated as official.

    Ini.

    Name

    Affiliation

    E-mail address

    AB

    Andrew Bushell

    Hadley Center, UKMO

    Abushell@meto.gov.uk

    AP

    Alison Pamment

    Hadley Center, UKMO

    Japamment@meto.gov.uk

    AT

    Andrew Thorton

    Numerical Modelling, UKMO

    Athorton@meto.gov.uk

    BC

    Bryan Conway

    Satellite Applications, UKMO

    Bjconway@meto.gov.uk

    CB

    Clare Bysouth

    Aviation Applications, UKMO

    Cebysouth@meto.gov.uk

    CP

    Caroline Poulsen

    Satellite Applications, UKMO

    Cpoulsen@meto.gov.uk

    DG

    David Gregory

    Hadley Center, UKMO

    Dgregory@meto.gov.uk

    DW

    Damian Wilson

    Hadley Center, UKMO

    Drwilson@meto.gov.uk

    EC

    Elisabetta Cordero

    Dynamic Research, UKMO

    Ecordero@meto.gov.uk

    EO

    Elsiabeth Öström

    Hadley Center, UKMO

    Eostrom@meto.gov.uk

    FC

    Frédéric Chevalier

    ECMWF

    f.chevallier@ecmwf.int

    FH

    Fiona Hilton

    Aviation Applications, UKMO

    Fihilton@meto.gov.uk

    FS

    Fiona Smith

    Satellite Applications, UKMO

    Kfsmith@meto.gov.uk

    GM

    Gill Martin

    Hadley Center, UKMO

    Gmmartin@meto.gov.uk

    HR

    Hans Roozekrans

    Satellite Data Division, KNMI

    Hans.Roozekrans@knmi.nl

    IC

    Ian Culverwell

    Model Diagnostics & Validation, UKMO

    Idculverwell@meto.gov.uk

    IM

    Ian Morgan

    Satellite systems, UKMO

    Imorgan@meto.gov.uk

    JEd

    John Edwards

    Hadley Center, UKMO

    Jmedwards@meto.gov.uk

    JE

    John Eyre

    Head of Satellite Applications, UKMO

    Jreyre@meto.gov.uk

    JM

    Jean-Francois Mahfouf

    ECMWF

    Mahfouf@ecmwf.int

    JPM

    Jan-Peter Muller

    CLOUDMAP co-ordinator, Geomatic Department, UCL

    Jpmuller@ge.ucl.ac.uk

    KW

    Keith Whyte

    Satellite Applications, UKMO

    Kwhyte@meto.gov.uk

    MG

    Martin Goeber

    Model Diagnostics & Validation, UKMO

    Mgoeber@meto.gov.uk

    MJ

    Marta Janisková

    ECMWF

    Janiskova@ecmwf.int

    MR

    Mark Ringer

    Hadley Center, UKMO

    Maringer@meto.gov.uk

    NB

    Niels Bormann

    ECMWF

    n.bormann@ecmwf.int

    PV

    Paul de Valk

    Satellite Data Division, KNMI

    Paul.de.Valk@knmi.nl

    RA

    Richard Allan

    Hadley Center, UKMO

    Rpallan@meto.gov.uk

    RR

    Richard Renshaw

    Data Assimilation, UKMO

    Rjrenshow@meto.gov.uk

    RS

    Roger Saunders

    Satellite Applications, UKMO

    Rwsaunders@meto.gov.uk

    SB

    Sue Ballard

    Data Assimilation, UKMO

    Spballard@meto.gov.uk

    SJ

    Sara James

    Aviation Applications, UKMO

    Sljames@meto.gov.uk

    VS

    Vanessa Sherlock

    Satellite Applications, UKMO

    Vjsherlock@meto.gov.uk

    The introduction to CLOUDMAP triggered some questions and remarks:

    RS: How does CLOUDMAP relate to other cloud related EU 5th Framework proposals?

    JPM: There is interaction with other groups that also use active cloud microwave soundings like CLOUDSAT and CLIWANET.

    FC: We do see a time scale problem with our assimilation schedule and satellite launching.

    JE: Does CLOUDMAP2 include the use of operational satellites? (Yes, the use of MSG is part of the project).

    JM: What is the added value of cloud top height by CLOUDMAP compared to CO2 slicing?

    JPM: O2 A band has an added value for low optical thick clouds. Stereo matching copes with all clouds and especially has added value for CTH measurement of semi transparent clouds. So, the techniques are complementary.

    JE: I would like to see a theoretical assessment of the expected accuracy.

    JPM: For stereo matching it depends on viewing geometry and pixel size. Nominally it is a pixel resolution, for the O2 A band it is 150 m, for MISR 275 - 180 m and for CO2 slicing100 hPa.

    The use of cloud information in NWP modelling at ECMWF (by J-F Mahfouf)

    Work is underway at ECMWF to simulate cloud information in "climate" and "short range" runs of the model using the 1D-var technique. For the experiments ISCCP, ERBE, CERES, SSM/I and CLARE data sets are assimilated. The parameterisation of the cloud scheme is not yet solved. It is hoped that the new generation satellites will provide more accurate vertical cloud profile data. Next year ECMWF has planned to use MODIS data in experimental model runs.

    Discussion using prepared statements

    Statement 1: End-users require satellite cloud products that are validated, although proper validation of most cloud parameters is difficult or hardly possible.

    JE: It is difficult to validate products. It would be convenient to know the theoretical upper limit achievable by the presented methods (versus existing methods).

    AB: The approach towards new products is first to obtain information about the new products. What do they represent? The new observations have to be well documented. The next step is to produce NWP fields to which the product can be compared. Then the decision can be taken to use the observation or not for use in model parameterisation/validation.

    MR: The HIRS cloud products are compared to the ISCCP database. This comparison reveals benefits and shortcomings of the HIRS cloud product in comparison to the ISCCP database. A similar approach with the CLOUDMAP products would enable an early evaluation.

    JM: A model produces errors and uncertainties. In case of a mismatch between observation and model it is hard to quantify the model contribution to the error.

    JE: I like to emphasise the point made by MR. Every technique has its limitations. JE presents a figure to show the limitations of TOVS retrievals.

    JPM: For the O2 A band technique it is possible to derive theoretical upper limits. However, I like to stress that in order to obtain these limits radiative transfer calculations are required which largely depend on assumptions that are not (always) occurring in the atmosphere, e.g. plane parallel clouds. With regard to a comparison with ISCCP I would like to stress that the ISCCP database misses the finer scales of the CLOUDMAP products. To enable a comparison with ISCCP the CLOUDMAP products need to be integrated to the ISCCP scale what results in a reduction of the available information. For the stereo technique it is not possible to give an upper limit as it depends on viewing geometry and other factors.

    DG: It would be interesting to use CLOUDMAP products for case studies of thin cirrus. A site comparison would be a useful validation.

    JPM: For this kind of comparisons collaboration is set up between CLARANET, CLIWANET and CLOUDMAP2.

    Statement 2: End-users require satellite cloud products that are independent of additional (e.g. NWP models, synops, etc.) data sources.

    JE: It is not a strict requirement. The criterion of usefulness for NWP is that it improves the forecast. In general, products with errors independent of NWP products are easier to use in NWP than those with correlated errors, but the latter can also be used with care.

    DW: The user needs to know which information went into products the user is evaluating.

    Statement 3: The present and future operational satellite cloud data (METEOSAT, MSG, NOAA, Metop) are/will be sufficient for end-users.

    JE: Some cloud products are planned in the SAF's. The most interesting cloud products suggested by CLOUDMAP are the new ones: optical thickness and droplet number concentration. The question what is the added value in comparison with (near) future satellites, e.g. IASI an infrared sounder with a spectral range of 3-15 microns. Some IASI products may compete with the CLOUDMAP products. I would like to recommend incorporating in the evaluation of CLOUDMAP the capabilities of (near) future satellites to make use of the added value of (any) new techniques.

    Statement 4: Considering the quality is acceptable, operational end-use of CLOUDMAP products can only be successful if priority is set to the improvement of

  • Temporal resolution
  • Area coverage
  • Operational data access
  • ?
  • SB: Data providing information on cloud parameters (cover, height, water content) is not currently assimilated in operational global variational analysis systems. We are only just starting the work to determine how best to use the potential data sources, therefore it is too early to say whether temporal resolution or area coverage need to be improved. At this stage the design of the assimilation technique is more important. Obviously the data has got to be available in real time if it is going to be assimilated into the NWP models. Cloud cover and height information is used in the operational mesoscale NWP assimilation scheme via the NIMROD system which provides a 3D cloud cover analysis (subsequently converted into relative humidity profiles for inclusion in the model in a nudging scheme.) If CLOUDMAP data were to be used in that system it would have to be accurate, cover a region surrounding the UK and be available every hour.

    JE: I would like to consider CLOUDMAP products in comparison with other possibilities/ observations before success criteria are set/used.

    Statement 5: CLOUDMAP contrail products are relevant for / applicable in:

  • NWP models
  • Climate models (radiation budgets?)
  • DW: Contrails do not have a significant proven effect on climate change.

    Statement 6: Application fields of CLOUDMAP products with the highest probability of value adding are:

  • NWP / GCM parameterisation
  • Climate research (in general)
  • ?
  • DW: It may be true for climate as it is does not depend on timeliness. The most interesting cloud products for me are cloud fraction and liquid water content. There will also be an interest for a global estimate of droplet number concentration.

    This validation of these products could be done on case study basis like in ACE.

    JPM: MERIS products could contribute here.

    Statement 7: In case the requirements to timeliness and data frequency can be met by CLOUDMAP products, potential application fields are:

  • Aviation forecasting/nowcasting
  • Real-time verification of NWP models
  • Real-time assimilation in NWP models
  • SB: Yes, we can potentially assimilate products in the mesoscale NWP forecast system via NIMROD if they provide information that is more accurate than, or complements, the current surface and geostationary satellite data. Can cloud top height and fraction be produced simultaneously as both are required?

    JPM: The O2 A band produces simultaneously cloud top height and fraction. Stereo matching produces only height.

    JE: A cost / benefit estimate has to be made if it is worth using it. The initial analysis of cloud does affect the short-range forecast. Therefore, a good estimate is valuable.

    JM: Clouds contain information about the dynamics, which is worthwhile to assimilate. At the moment no information of cloudy areas is assimilated.

    Statement 8: CLOUDMAP products have potential to be used for validation/ calibration of operational satellite cloud products; e.g. MPEF or SAF (Nowcasting, Climate) products.

    JE: Yes, because independent data should be used in validation as much as possible.

    Statement 9: CLOUDMAP techniques have potential to be applied to or implemented on future meteorological satellites.

    JE: I would like to stress the point that the launch of one instrument will probably disable the launch of another instrument (a matter of costs). So, we have to consider CLOUDMAP instruments in the context with other instrumentation that could produce similar products using different techniques.

    JPM: The current ESA policy of small satellites would circumvent this problem, especially as the downscaling of instrument size is continuing.

    Statement 10: At the end CLOUDMAP will contribute to the availability of more accurate and independent cloud information from satellites (the original justification of the CLOUDMAP project).

    JE: I support the independent part. CLOUDMAP enables a better validation of operational technologies/products.

    JPM: ARM products for comparison studies involving GOES, ATSR, MISR, MODIS from the group of T. Ackerman will be involved in CLOUDMAP2. For Europe a comparison between the Chilbolton site measurements and MSG products could be involved.

    AB: It would be beneficial to link the study to NWP and cloud models

    JM: 4D water vapour simulation is not yet successful. The microwave technique is not yet proven.

    JE: Passive microwave techniques need to be validated. There is a real need for validation and for well-defined profile measurements.

    NB: A correct height assignment to AMV data would be beneficial for modellers.

    JPM: This would involve a correct radiative transfer program to assess the heights.

    Back to main report

    APPENDIX D: Report of meeting at the Swedish Meteorological and Hydrological Institute (SMHI)

    Date: October 19, 2000

    Venue: SMHI headquarters in Norrköping, Sweden

    CLOUDMAP delegate: Hans Roozekrans and Siebren de Haan (KNMI)

    1. Introduction

    This report reflects the fourth trip in the roadshow to the Swedish Meteorological and Hydrological Institute (SMHI) in Norrköping. SMHI was chosen for several reasons. It is a typical middle size European meteorological centre hosting an operational forecasting department, an excellent NWP modelling group (SMHI is a prominent member of the HIRLAM consortium) and the well-known Rossby Centre (for climate research). Moreover, SMHI is a member of the Nowcasting SAF consortium developing the software for nowcasting products from NOAA and Metop data. Last but not least, SMHI will be partner in the CLOUDMAP2 project and also in the related CLIWANET project.

    An agenda for the one-day meeting was conducted in consultation with the host at SMHI, Anke Thoss:

    9:30 -10:30 Introduction to the CLOUDMAP project and results (by Hans Roozekrans, KNMI)
    10:30 - 11:00 Coffee, informal discussion
    11:00 - 12:30 Discussion using prepared statements
    12:30 - 14:00 Lunch, informal discussion
    14:00 - 16:00 Bilateral interaction with different end-users/experts.

    2. Results of the meeting at SMHI.

    In this fourth and last meeting of the CLOUDMAP roadshow the formula of the first two meetings was recovered and again it worked out quite beneficial for both sides. As at the Met Office the local organiser Anke Thoss had managed to mobilise a quite large audience for the morning session. The afternoon sessions with individuals and smaller groups were beneficial too, especially for the settlement of future co-operation on data-collection in the framework of CLOUDMAP2 and the Nowcasting SAF project (in which SMHI is taking care of the development of NOAA-AVHRR products).

    The main conclusions of the SMHI meeting are:

    3. Feedback of the end-users

    The following persons attended the morning programme of the roadshow meeting at SMHI. The initials (in alphabetic order) in the first column are used in this discussion report to identify persons who took part in the discussion. The comments made by the individual participants are not verbatim represented in this report and should not be treated as official.

    Ini.

    Name

    Affiliation

    E-mail address

    AD

    Adam Dybbroe

    Nowcasting SAF project, SMHI

    Adam.Dybbroe@smhi.se

    AT

    Anke Thoss

    R&D Meteorology Dept., SMHI

    Anke.Thoss@smhi.se

    CJ

    Colin Jones

    Climate Research, SMHI

    Colin.Jones@smhi.se

    EL

    Erik Liljas

    International Affairs, SMHI

    Erik.Liljas@smhi.se

    HR

    Hans Roozekrans

    Satellite Data Division, KNMI

    Hans.Roozekrans@knmi.nl

    KGK

    Karl-Göran Karlsson

    R&D Meteorology Dept., SMHI

    Karl-Goran.Karlsson@smhi.se

    NG

    Nils Gustafsson

    NWP modeller, SMHI

    Nils.Gustafsson@smhi.se

    SH

    Siebren de Haan

    Satellite Data division, KNMI

    Siebren.de.Haan@knmi.nl

    SB

    Sten Bergström

    Head of R&D Department, SMHI

    Sten.Bergstrom@smhi.se

    SN

    Stefan Nilsson

     

    Stefan.Nilsson@smhi.se

    TL

    Thomas Landelius

    Atmospheric researcher, SMHI

    Thomas.Landelius@smhi.se

    The introduction to CLOUDMAP triggered some questions and remarks:

    Discussion in the morning using 10 prepared statements

    Statement 1: End-users require satellite cloud products that are validated, although proper validation of most cloud parameters is difficult or hardly possible.

    CJ: For validation it is important to have error bars. How close to the truth is your measurement?

    NG: For use in NWP absolute accuracy is not the problem. The structure of errors is more important.

    EL: For use in nowcasting end-users (e.g. aircraft pilots) need to participate in the validation work.

    AT: When end-users are involved in validation efforts there is a need for infrastructure.

    KGK: Aircraft pilots are important users of CTH data and at the same time have direct access to ground truth.

    SB: The adding of cloud sensors to commercial air services (like the AMDAR system) is a possibility.

    SN: Cloud droplet concentration (related to air pollution) is a nice and useful product.

    CJ: In CLIWANET cloud Liquid water is measured and also collocated water vapour radiation (WVR) from the ground. There should be a synergy between CLOUDMAP and CLIWANET (KNMI and SMHI are partners in both projects, CLIWANET and CLOUDMAP2).

    Statement 2: End-users require satellite cloud products that are independent of additional (e.g. NWP models, synops, etc.) data sources.

    NG: Measurements should be independent. For use in NWP the retrieval algorithm is needed for backward calculation.

    AT: The identification of what to assimilate in NWP is important (knowledge on the retrieval algorithm).

    CJ: In climate research: not the dependence but the quality of the measurement is important as well as the verification.

    EL: Cloud motion vectors can profit from independent CTH data.

    Statement 3: The present and future operational satellite cloud data (METEOSAT, MSG, NOAA, Metop) are/will be sufficient for end-users.

    First it was asked what is meant by "future". HR stated that here the future needs to be related to MSG and Metop (and the belonging MPEF and SAF products)

    AD: The CTH products of the future satellites will be sufficient for operational forecasting.

    NG: For operational use in NWP much more is needed. Cloud droplet products provide a detailed look at the clouds. But there is still a large research opportunity.

    CJ: Detection/observation of clouds above snow and ice is a problem with the current satellites. For climate research it will be profitable to obtain cloud information above sea ice. Will it be possible using CLOUDMAP techniques to detect clouds above ice? (HR states that in principle using the stereo matching technique this should be possible).

    AD: More bands for the MSG/Metop imagers can be useful.

    AT: The high latitude areas will not profit from MSG and need more polar orbiting imagers.

    KGK: Ice clouds provide more problems for detection than water clouds.

    Statement 4: Considering the quality is acceptable, operational end-use of CLOUDMAP products can only be successful if priority is set to the improvement of

  • Temporal resolution
  • Area coverage
  • Operational data access
  • ?
  • SN: Data access is not important for validation purposes.

    CJ: For use in climate research a measurement every 3 hours and of a reasonably wide region of coverage is sufficient.

    KGK: Validation of the methods should have the highest priority.

    EL: Will the CLOUDMAP2 project provide real-time data and will the data be used in real practice? (HR states that in CLOUDMAP1 this was already planned using the ESA/ESRIN near real-time service for ATSR data. However, due to a lack of manpower this was not reached. In CLOUDMAP2 the intention is to establish a NRT use of CLOUDMAP products).

    CJ: CLOUDMAP data can be used for the validation and parameterisation of the temperature/cloud relation.

    Statement 5: CLOUDMAP contrail products are relevant for / applicable in:

  • Operational forecasting/nowcasting
  • NWP models
  • Climate models (radiation budgets?)
  • EL: I have doubts about the use of contrail coverage in nowcasting.

    CJ: Contrails may not be important for the climate. It has however direct impact on the radiation budget.

    KGK: Contrails can be used for validation of the CTH product.

    AT: Yes, the height of the plane is known and therefore the height of the contrail.

    Statement 6: Application fields of CLOUDMAP products with the highest probability of value adding are:

  • NWP / GCM parameterisation
  • Climate research (in general)
  • ?
  • CJ: Satellites provide snapshots of a process. For the purpose of parameterisation of models you need either almost continuous data for a short period or snapshots over a long period to build up climatology.

    KGK: What is the future of the MOS sensor in the long term? (HR answers that MOS is an experimental sensor and not included in a long-term programme. The MODIS and MERIS sensors have an O2 A band and provide some future perspective)

    AT: The temporal resolution of MODIS is comparable to NOAA-AVHRR. Which O2 A band data will be accessible in CLOUDMAP2? (HR answers: MOS, MODIS and MERIS)

    AT: MERIS resorts on an ESA satellite. We can get access to MERIS data via the Free University of Berlin (partner in CLOUDMAP1 and 2).

    Statement 7: In case the requirements to timeliness and data frequency can be met by CLOUDMAP products, potential application fields are:

  • Aviation forecasting/nowcasting
  • Real-time verification of NWP models
  • Real-time assimilation in NWP models
  • AT: For aviation and nowcasting the CLOUDMAP products can be important. This need to be experienced in CLOUDMAP2.

    NG: Before cloud products can be used directly in NWP first the assimilation problem needs to be solved.

    CJ: Cloud parameterisation is dependent on the dynamics of clouds (and thus asks for high frequency observations of clouds).

    HR: What is your experience with assimilation of clouds in NWP?

    NG: An algorithm is developed which uses the cloud base and cloud top height to nudge a saturation. A subjective improvement is shown although not objective. 4DVAR assimilation is needed to derive impact.

    CJ: There is a spin-up problem with clouds. At forecast time = 0 no clouds are present.

    NG: Parameterisation is important. So, a good turbulence scheme is required.

    AT: What do we want to assimilate: Liquid Water Content, Integrated Water Content? Cloud Liquid Water Content/Integrated Liquid Water Content are more important. These will not be research within CLOUDMAP2 (?)

    CJ: Cloud fraction has a higher sampling chance (e.g. as can be done with the current operational satellites). Therefore, the model can profit from this. We should aim at trying to assimilate cloud fraction in NWP.

    SN: What about aerosols? (HR answers: This is not a focus in CLOUDMAP)

    CJ: There is a strong relation between aerosols and pollution (and precipitation).

    NG: Is precipitation included in CLOUDMAP? (HR answers: no)

    Statement 8: CLOUDMAP products have potential to be used for validation/ calibration of operational satellite cloud products; e.g. MPEF or SAF (Nowcasting, Climate) products.

    AD: The CLOUDMAP products have potential to be used for validation of the Nowcasting SAF products. The SAF validation plan foresees in using many data sources. CLOUDMAP can be one of them.

    HR: What are the data sources to be used for validation of the Nowcasting SAF products?

    AD: Synop observations are objective (although cloud type is a "human" interpretation). CTH is derived from radiosondes and lidar, although the latter needs an interpretation. Ground based cloud radar data can also be used.

    HR: What about NOAA passing times in case of CLOUDMAP use in the validation work?

    AT: We can use MSG as intermediate. Validate the AVHRR SAF products with the MSG Nowcasting/O&SI SAF product and MSG possibly with the CLOUDMAP2 products.

    Statement 9: CLOUDMAP techniques have potential to be applied to or implemented on future meteorological satellites.

    AT: EOS satellites? Which channels of AVHRR on Metop?

    EL: The discussion of new instruments for Meteosat Third Generation will be started soon and of new Metop instruments within 5 years from now. New generation satellites will be operational within 10 years after the first discussions.

    AD: What about the use of MODIS in NPOESS?

    AT: There is a need for an intermediate satellite between EOS and NPOESS.

    Statement 10: At the end CLOUDMAP will contribute to the availability of more accurate and independent cloud information from satellites (the original justification of the CLOUDMAP project).

    NG: An independent measurement of CTH is essential. Is the CLOUDMAP CTH more accurate? If so, then CLOUDMAP is/was a success.

    CJ: The MOS products seem to be very promising.

    SN: Identification of key products is important for success.

    Afternoon meeting

    In this part of the programme individual end-users within the three target groups (forecasting, NWP and climate research) were (on-line) introduced to the CLOUDMAP Web site. During this introduction the applicability and limitations of the CLOUDMAP products and techniques were discussed. At the end of each session the end-users were asked to reply to the end-user evaluation questionnaire. Four sessions were held.

    Session 1 (CLOUDMAP use in climate research)

    Participant: Colin Jones of the Rossby Centre

    Colin started to show some work on the cloud parameterisation in a regional (European) climate model. For this purpose a ten-year data set of AVHRR cloud fractions (work of Karl-Göran Karlsson) was used. The limited value of the ISCCP data set was discussed. ISCCP only distinguishes between low and high clouds. For model parameterisation this is much too coarse.

    Furthermore, the potential application of CLOUDMAP in climate modelling was discussed.

    The vertical resolution of models is smaller than 1 km. When the errors of CLOUDMAP CTH products are in the order of a few 100m than these will be negligible to the model errors, and therefore very interesting for climate modelling.

    The CLOUDMAP droplet concentration product looks very interesting. This quantity is important for cloud condensation growth and precipitation.

    Cirrus in the deep tropics is very important for climate studies and most climate models under predict these clouds (will the CLOUDMAP2 products have a more global coverage)?
    Climate models do need cloud information: clouds and radiation are most important in regional climate models (cloud position, CTH and cloud constituencies). The product should have a spatial resolution better than 50 km and should describe the diurnal cycle.

    Finally, the overlap between CLIWANET and CLOUDMAP2 was discussed. Colin Jones emphasises the strong need for co-ordination and co-operation between the two projects. Exchange of data sets will benefit both projects.

    Session 2 (CLOUDMAP use in NWP)

    Participants: Nils Gustafson and Anke Thoss

    The current status of use of satellite data in HIRLAM was discussed. Currently, the following satellite data are used in HIRLAM at SMHI: GPS (TZD), AMSU-A and ATOVS.

    Nils asks which stereo matching algorithm will be chosen? This is important to know if stereo CTH will be use in NWP. Impact studies might give an answer to that.

    Nils asks whether the O2 A band will be operational available in the near future? NPOES (launch not before 2010) will have an O2 A band. In the mean time MODIS, being an experimental research sensor, will fill the gap.

    Nils asks: Does the O2 A band measure integrated water vapour (IWV) above clouds? This is an important parameter for NWP.

    Nils asks: What extra information does the O2 A band contain with regard to the WV-channel and AMSU-B? When the underlying surface contains no ice AMSU-B and WV provide similar observations. The O2 A band is complementary to GPS and SSM/I.

    Anke foresees an interesting collaboration with the Free University of Berlin within the CLOUDMAP2 project. CLIWANET and CLOUDMAP2 together will provide an easy accessible complete data set.

    Session 3 (CLOUDMAP use in the Nowcasting SAF work)

    Participants: Adam Dybbroe and Anke Thoss

    The potential use of CLOUDMAP products in the development work in the Nowcasting SAF was discussed. A visiting scientist may work on the verification and (cross) validation of the Nowcasting SAF products within the Initial Operations Phase (IOP). MSG Nowcasting products will be used as a reference in the validation work of the AVHRR SAF products. CLOUDMAP products might be used to "anchor" the reference.

    Furthermore, for validation purposes a Swedish ground based network of 3 cameras and an occasional lidar measurement (in Linköping) is available and aircraft reports from the Swedish Airforce can be obtained.

    Adam Dybbroe mentioned the fact that the Nowcasting SAF group searches for beta-testers of the software. KNMI showed its interest to become one (possibly in the framework of CLOUDMAP2).

    Session 4 (CLOUDMAP use in forecasting)

    Participant: Stefan Gollvik

    Stefan states that stereo matching using two geostationary satellites is very interesting for nowcasting because of the frequency of the product.

    He also thinks that the integrated water droplet product can be valuable in forecasting.

    He asks if it is possible to find the top of the stratocumulus with the O2 A band?
    The condensation scheme for Cloud Liquid Water (CLW) in data assimilation is not yet workable. The nudging process HIRMES is adjusting the humidity.

    Back to main report

    APPENDIX E: Report of meeting at the Royal Netherlands Meteorological Institute (KNMI)

    Date: November 22, 2000

    Venue: KNMI headquarters in De Bilt, The Netherlands

    CLOUDMAP delegates: Hans Roozekrans and Paul de Valk (KNMI)

    1. Introduction

    Off course KNMI itself is also part of the end-user community, employing operational forecasters, NWP and climate researchers and satellite data experts. Therefore, a last "homeshow" consultation meeting was organised at KNMI. The agenda of the meeting was equivalent to all the other meetings:

    9:30 -10:30 Introduction to the CLOUDMAP project and results (by Hans Roozekrans, KNMI)
    10:30 - 11:00 Coffee, informal discussion
    11:00 - 12:30 Discussion using prepared statements

    2. Results of the meeting at KNMI.

    It was rather difficult to set a date for a meeting on which all "cloud" experts of KNMI were available. However, a group of 12 experts was brought together and all three end-use target groups were represented in the meeting enabling a lively and interesting discussion.

    The main conclusions of the KNMI meeting are:

    3. Feedback of the end-users

    The following persons attended the roadshow meeting at KNMI. The initials (in alphabetic order) in the first column are used in this discussion report to identify persons who took part in the discussion. The comments made by the individual participants are not verbatim represented in this report and should not be treated as official.

    Ini.

    Name

    Affiliation

    E-mail address

    AM

    Ab Maas

    Forecasting Department, KNMI

    Maas@knmi.nl

    FD

    Frans Debie

    Forecasting Department, KNMI

    Debie@knmi.nl

    HR

    Hans Roozekrans

    Satellite Data Division, KNMI

    Hans.Roozekrans@knmi.nl

    IH

    Iwan Holleman

    Satellite Data Division, KNMI

    Holleman@knmi.nl

    JV

    John vd Vegte

    Satellite Data Division

    Vegtevd@knmi.nl

    MW

    Michiel van Weele

    Climate Research, KNMI

    Weelemv@knmi.nl

    PS

    Piet Stammes

    Climate Research, KNMI

    Stammes@knmi.nl

    PV

    Paul de Valk

    Satellite Data Division, KNMI

    Paul.de.Valk@knmi.nl

    RD

    Rose Dlhopolsky

    Climate Research, KNMI

    Dlhopols@knmi.nl

    RK

    Robert Koelemeijer

    Climate Research, KNMI

    Koelemei@knmi.nl

    RM

    Robert Mureau

    Forecasting Department, KNMI

    Mureau@knmi.nl

    SB

    Sylvia Barlag

    Satellite Data Division, KNMI

    Barlag@knmi.nl

    SV

    Sibbo van der Veen

    NWP modelling, KNMI

    Veenvds@knmi.nl

    WS

    Wim Som de Cerff

    Satellite Data Division, KNMI

    Sdecerff@knmi.nl

    Discussion using 10 prepared statements

    Statement 1: End-users require satellite cloud products that are validated, although proper validation of most cloud parameters is difficult or hardly possible.

    PS: It is not sufficient to validate the absolute accuracy. For use in climate research it is important to have information of the error structure (i.e. bias and standard deviation).

    SB: This is also required for use in NWP.

    HR: How well validated are the present operational cloud products?

    FD: Present cloud products are not well validated. But CTH is not a target in forecasting (except maybe for aviation meteorology). Our goal is to predict the weather. In this task CTH is of secondary importance.

    RM: For aviation meteorology CTH is very important.

    AM: In the forecasting work clouds are considered in a qualitative manner rather than a quantitative manner. At what cloud type is the forecaster looking and what is its’ significance for the weather is a question to be solved by the forecaster. The determination of icing conditions is relevant for aviation meteorology. This is difficult as these super-cooled clouds occur frequently below cirrus clouds.

    SV: For correct assimilation in NWP CTH is relevant information.

    PS: What about cloud base height for assimilation?

    SV: That is also relevant for assimilation.

    PS: That is difficult to obtain from satellites.

    RM: I have a question to the forecasters: Do you do anything with CTH?

    AM: It can be relevant for convective processes. Time series of CTH give information about the convection rate.

    FD: CTH can give information about the speed of a cirrus band relative to the surface level speed of a frontal system. This provides information about the frontal development.

    Statement 2: End-users require satellite cloud products that are independent of additional (e.g. NWP models, synops, etc.) data sources.

    PS: Independence of data is relevant for climate studies.

    SB/AM: Independence is also very relevant for forecasters.

    PS: All methods, which use brightness temperatures, require model information to convert the temperature to a CTH.

    RK: We have a method based on O2 A band, which produces CTH based on pressure levels, independent of temperature profiles.

    SB: Without any independent data it is impossible to validate models.

    MW: Another approach is to assimilate various satellite results in models and to study the differences in the obtained model output.

    Statement 3: The present and future operational satellite cloud data (METEOSAT, MSG, NOAA, Metop) are/will be sufficient for end-users.

    PS: Off course all new techniques will be welcomed by the users. The METOP GOME-II will provide O2 A band measurements. However, the spatial resolution is rather coarse.

    SB: We have to realise that for the coming 15 years MSG will be the operational geostationary system above Europe.

    PS: An important parameter for climate research that is not provided by the operational satellites is the cloud phase.

    SV: Cloud phase is also relevant for NWP.

    RD: Measurements at 1.6 m m already performed with the NOAA provides the phase information (the 1.6 m m band is available on MSG).

    PS: In the future the geostationary system has to be more advanced, e.g. stereo matching / O2 A band.

    SB: As the ground segment of the MSG is capable of handling two satellites simultaneously there could be possibilities for stereo matching with MSG 1 and 2.

    Statement 4: Considering the quality is acceptable, operational end-use of CLOUDMAP products can only be successful if priority is set to the improvement of

  • Temporal resolution
  • Area coverage
  • Operational data access
  • ?
  • PS: As a climate researcher we stress the global coverage as important. But also the validation has then to be globally.

    AM: Forecasters support temporal resolution enhancement and the improvement of operational data access.

    SV: NWP modellers prefer a 10 km horizontal resolution and hourly temporal resolution.

    Statement 5: CLOUDMAP contrail products are relevant for / applicable in:

  • Operational forecasting/nowcasting
  • NWP models
  • Climate models (radiation budgets?)
  • FD: The military airforce is interested in the conditions that the contrails will occur (and thus the planes are detectable from the ground).

    AM: Contrail information does not provide any added value in relation to the humidity of the atmosphere, as forecasters have other data sources for that.

    SV: For NWP the differentiation from natural cirrus is not relevant.

    MW: In co-operation with the RLD preferable flight altitudes have been studied at which a minimum of contrails is formed.

    PS: The IPCC has also studied contrails.

    MW: It is one of the uncertain factors in climate change research.

    RK: The impact of normal clouds on the climate is uncertain. What is the relevance of contrails in this context? It is relevant if the anthropogenic influence on the climate needs to be assessed.

    Statement 6: Application fields of CLOUDMAP products with the highest probability of value adding are:

  • NWP / GCM parameterisation
  • Climate research (in general)
  • ?
  • RM: Important application fields are parameterisation and assimilation.

    PS: Campaigns are very relevant for parameterisation. Participation of CLOUDMAP2 in these campaigns will be beneficial.

    Statement 7: In case the requirements to timeliness and data frequency can be met by CLOUDMAP products, potential application fields are:

  • Aviation forecasting/nowcasting
  • Real-time verification of NWP models
  • Real-time assimilation in NWP models
  • MW: Another application could be the retrieval of atmospheric conditions.

    PS: CLOUDMAP products on themselves have a limited application potential, compared to the ambitious objectives of the project. A well-defined error structure is needed to enlarge the potential.

    RK: It is unclear to me how clouds are introduced in NWP. An instantaneous introduced cloud would immediately evaporate.

    SV: The humidity fields are adapted when a cloud is initiated at a certain location to ensure that the cloud lifetime is longer than a few time steps in the model.

    PS: For a correct introduction of clouds in NWP the observation of the cloud is not the limiting factor.

    FD: For a correct assimilation of clouds in NWP the parameterisation is important/essential.

    AM: To the list of potential applications I would like to add the monitoring of NWP model performance.

    Statement 8: CLOUDMAP products have potential to be used for validation/ calibration of operational satellite cloud products; e.g. MPEF or SAF (Nowcasting, Climate) products.

    RK: I am impressed by the fact that three different techniques provide very well comparable CTH values. It gives an idea of the intrinsic accuracy. Are the cases shown in the presentation selected?

    HR: Occasional simultaneous overpasses of the MOS and ATSR sensors purely drove the selection of the cases.

    FD: The CLOUDMAP products do not yet meet the forecasters requirements. Is the accuracy enough to be used for validation of operational products?

    SB: CLOUDMAP will contribute more to the validation of the SAF products than of the MPEF products.

    HR: From the previous roadshow meetings we learned that the SAF's welcome all possible validation data.

    Statement 9: CLOUDMAP techniques have potential to be applied to or implemented on future meteorological satellites.

    RK: Yes, I support this statement.

    PS: O2 A bands will be flying on polar satellites in the near future, but geostationary satellites remain the most important data source for operational applications.

    Statement 10: At the end CLOUDMAP will contribute to the availability of more accurate and independent cloud information from satellites (the original justification of the CLOUDMAP project).

    PS: It contributes to the definition of future systems. The demonstrated techniques can be recommended to be applied to future operational satellites.

    SB: The results contribute to the discussion about future satellite missions.