Satellite-based climate data records. in support to Climate Services. Steffen Kothe and CM SAF Team

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1 Satellite-based Climate Data Records in support to Climate Services Steffen Kothe and CM SAF Team Satellite-based climate data records in support to Climate Services Steffen Kothe and CM SAF Team

2 Climate Monitoring State of climate system Better understanding of climate variability Global Station Network Global Radiosonde Network EUMETSAT UFA 2018, Abidjan 2

3 Climate Monitoring State of climate system Better understanding of climate variability Basis are in situ measurements and more and more satellite-based data Global Coverage of Satellites EUMETSAT UFA 2018, Abidjan 3

4 Requirements for Climate Data x x Value Time Long-term time series Calibration Homogeneity Quality control EUMETSAT UFA 2018, Abidjan 4

5 The EUMETSAT SAF Network Source: EUMETSAT EUMETSAT UFA 2018, Abidjan 5

6 CM SAF Partners Deutscher Wetterdienst Swedish Meteorological and Hydrological Institute Royal Meteorological Institute of Belgium Finnish Meteorological Institute CM SAF Member States Location of Partner NMHSs Met Office, United Kingdom Centre National de la recherche scientifique EUMETSAT UFA 2018, Abidjan 6

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9 Global Energy and Water Cycle Source: Wild et al., 2013 EUMETSAT UFA 2018, Abidjan 9

10 Global Energy and Water Cycle Source: Wild et al., 2013 EUMETSAT UFA 2018, Abidjan 10

11 CLAAS-2 Variables Cloud properties Liquid and ice water path Resolution Spatial: ( ) Temporal: hourly-, daily-, monthly means, mean monthly diurnal cycle Coverage Spatial: Meteosat disk Temporal: 2004 to 2015 DOI: /EUM_SAF_CM/CLAAS/V002 EUMETSAT UFA 2018, Abidjan 11

12 CLARA-A2 Variables Cloud properties Surface albedo Radiation Resolution Spatial: Temporal: daily-, pentad-, monthly mean Coverage Spatial: global Temporal: 1982 to 2015 DOI: /EUM_SAF_CM/CLARA_AVHRR/V002 EUMETSAT UFA 2018, Abidjan 12

13 HOAPS Variables Wind, humidity (close to surface) Precipitation, evaporation Latent heat flux Fresh water flux Resolution Spatial: Temporal: 6-hourly-, monthly means Coverage Spatial: global ice free ocean Temporal: 1987 to 2015 DOI: /EUM_SAF_CM/HOAPS/V002 EUMETSAT UFA 2018, Abidjan 13

14 SUMET Variables Land surface temperature Resolution Spatial: Temporal: hourly instantaneous, monthly mean diurnal cycle Coverage Spatial: Meteosat disk Temporal: 1991 to 2015 DOI: /EUM_SAF_CM/LST_METEOSAT/V001 EUMETSAT UFA 2018, Abidjan 14

15 COMET Variables Fractional cloud cover Resolution Spatial: Temporal: hourly instantaneous, daily and monthly means, monthly mean diurnal cycle Coverage Spatial: Meteosat disk Temporal: 1991 to 2015 DOI: /EUM_SAF_CM/CFC_METEOSAT/V001 EUMETSAT UFA 2018, Abidjan 15

16 CM SAF AOD Variables Aerosol Optical Depth Resolution Spatial: native Temporal: daily-, monthly means Coverage Spatial: Meteosat disk Temporal: 2004 to 2012 DOI: /EUM_SAF_CM/MSG_AOD/V001 EUMETSAT UFA 2018, Abidjan 16

17 TOA Radiation Variables TOA reflected solar TOA emitted thermal Resolution Spatial: Temporal: daily and monthly means, monthly means of hourly means Coverage Spatial: Meteosat disk Temporal: 2004 to 2015 DOI: /EUM_SAF_CM/CFC_METEOSAT/V001 EUMETSAT UFA 2018, Abidjan 17

18 SARAH-2.1 Variables Global radiation Surface direct irradiance Spectral resolved irradiance Effective cloud albedo Sunshine duration Resolution Spatial: Temporal: 30 min, daily-, monthly means Coverage Spatial: Meteosat disk Temporal: 1983 to 2017 DOI: /EUM_SAF_CM/SARAH/V002 EUMETSAT UFA 2018, Abidjan 18

19 SARAH-2 Sunshine Duration Sunshine duration important parameter Tourism Health Sector Agriculture Vegetation modelling Solar energy EUMETSAT UFA 2018, Abidjan 19

20 SARAH-2 Sunshine Duration Sunshine duration important parameter Tourism Health Sector Agriculture Vegetation modelling Solar energy First satellite-based sunshine duration dataset for Europe and Africa EUMETSAT UFA 2018, Abidjan 20

21 SARAH-2 Sunshine Duration Sunshine duration important parameter Tourism Health Sector Agriculture Vegetation modelling Solar energy First satellite-based sunshine duration dataset for Europe and Africa Basis SARAH-2 DNI data Evaluation showed good agreement with station data (< 9 %) EUMETSAT UFA 2018, Abidjan 21

22 SARAH-2 Sunshine Duration Sunshine duration important parameter Tourism Health Sector Agriculture Vegetation modelling Solar energy First satellite-based sunshine duration dataset for Europe and Africa Basis SARAH-2 DNI data Evaluation showed good agreement with station data (< 9 %) Suitable for many applications EUMETSAT UFA 2018, Abidjan 22

23 Application Example Sunshine Duration EUMETSAT UFA 2018, Abidjan 23

24 Application Example Sunny Days Global climatology of sunny days based on SARAH and CLARA Sunny day is defined by mean daily global radiation 80 % of maximum possible solar insolation Sunny period is characterized by five consecutive sunny days Sunny days interactive map on CM SAF webpage EUMETSAT UFA 2018, Abidjan 24

25 Application Example Sunny Days EUMETSAT UFA 2018, Abidjan 25

26 Application Example Sunny Days EUMETSAT UFA 2018, Abidjan 26

27 Application Example Sunny Days EUMETSAT UFA 2018, Abidjan 27

28 Application Example Sunny Days EUMETSAT UFA 2018, Abidjan 28

29 Application Example Sunny Days EUMETSAT UFA 2018, Abidjan 29

30 Application Example Sunny Days EUMETSAT UFA 2018, Abidjan 30

31 Application Example Solar Atlas South Africa Colleagues from SAWS and JRC produced a solar atlas for South Africa using CM SAF radiation data Long-term Annual Mean for Global Horizontal Irradiance, period Photovoltaic (PV) energy yield of Global Irradiation on optimally inclined plane for the year (kwh/m2) Kindly provided by Lucky Ntsangwane (SAWS) EUMETSAT UFA 2018, Abidjan 31

32 Application Example Solar Energy Trend Investigation of trend in solar energy potential for South Africa Trend in station-based sunshine duration (Spring) Trend in CM SAF SARAH global radiation (Spring) Jyotsna Singh and Andries Kruger, 2017 EUMETSAT UFA 2018, Abidjan 32

33 Application Example Solar Energy Production forecast, planning, monitoring of solar energy needs radiation data for at least 10 years PVGIS tool of Joint Research Centre Free PV online tool Uses CM SAF solar radiation data Production forecast and potential estimation Easy to apply For all African countries PVGIS solar energy potential for Côte d Ivoire EUMETSAT UFA 2018, Abidjan 33

34 Application Example Solar Energy Production forecast, planning, monitoring of solar energy needs radiation data for at least 10 years PVGIS tool of Joint Research Centre Free PV online tool Uses CM SAF solar radiation data Production forecast and potential estimation Easy to apply For all African countries PVGIS solar energy potential for Côte d Ivoire EUMETSAT UFA 2018, Abidjan 34

35 Quality assurance Rigorous review cycle is applied before publishing CDRs DOI is assigned; CDR comes with comprehensive documentation and publications CDR with uncertainty estimates Participation in international assessments and retrieval evaluations EUMETSAT UFA 2018, Abidjan 35

36 CM SAF Users Others 0% State authorities 8% Research institutes 46% Private companies 12% Meteorological Services 34% EUMETSAT UFA 2018, Abidjan 36

37 Data Access Web User Interface Easy selection and online ordering Postprocessing Spatial, temporal selection Data format (NetCDF) Download via https or sftp All data free of charge User Help Desk EUMETSAT UFA 2018, Abidjan 37

38 Data Access CM SAF products via EUMETCast: Monthly mean fractional cloud cover Monthly mean surface incoming shortwave radiation NetCDF format EUMETCast Africa: Channel: SAF-Africa PID: 301 Multicast Address: EUMETSAT UFA 2018, Abidjan 38

39 CM SAF R Toolbox CM SAF provides CM SAF R Toolbox for free Prepare Preparation of ordered CM SAF data (extract, choose time & region, merge) Analyze cmsaf R-package collection of functions for easy analysis and manipulation of CM SAF NetCDF data (see cran.r-project.org) Visualize Visualization of CM SAF data No R or scripting experiences required EUMETSAT UFA 2018, Abidjan 39

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41 CM SAF R Toolbox Examples by UFA 2016 participants Interesting seasonal patterns over Mauritius Solar energy potential in Senegal EUMETSAT UFA 2018, Abidjan 41

42 CM SAF R Toolbox DAT_ html DAT_ html EUMETSAT UFA 2018, Abidjan 42

43 CM SAF R Toolbox EUMETSAT UFA 2018, Abidjan 43

44 Training Training workshops in cooperation with EUMETSAT Practical exercises with CM SAF data and tools To learn more about EUMETSAT training workshops see: EUMETSAT UFA 2018, Abidjan 44

45 CM SAF Training Workshop Pretoria (South Africa) 8 12 June 2015 Training Project COULIBALY Kolotioloma Alama from National Meteorological Service of Cote d Ivoire kcoulibaly2@yahoo.fr

46 Climatology pattern 10 9 Odienné Korhogo 8 Man Bouaké Bondoukou 7 Daloa Yamoussoukro Dimbokro 6 Gagnoa 5 Abidjan Adiaké Sassandra San-Pédro Tabou

47 CM SAF Data Analysis: Burkina Faso Case Study Guillaume NAKOULMA Burkina Faso Meteorological Service

48 Spatial Distribution Climatology SIS CFC PRECIP

49 Workshop on the Use of Gridded Satellite Data for Climate Services in Africa Pretoria: 20 to 24 November 2017 KANGA Brou Isidore National Meteorological Service of COTE D IVOIRE LOROUGNON Tape Ferdinand (tapefernand99@gmail.com) National Meteorological Service of COTE D IVOIRE 49

50 Time series analysis of satellite data ABIDJAN Name Year Month Satellite data Station data ABIDJAN ,76 80,5

51 ASSESSING THE SHORTWAVE RADIATION DISTRIBUTION PATTERN IN NIGERIA USING CMSAF DATA BY AGATHA OLUCHUKWU ANOKWU Nigerian Meteorological Agency

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53 Summary Products and services in connection with global energy and water cycle Especially geostationary products excellent suitable for Africa Thoroughly quality assurance and control mechanisms Extensive exchange and support with / of users Free and uncomplicated data access So far more than 140 peer-reviewed publications using CM SAF data Contact data: Contact.cmsaf@dwd.de EUMETSAT UFA 2018, Abidjan 53

54 5 th CM SAF USER-WORKSHOP MAINZ