satellite-based climate data records in support to climate ... · steffen kothe and cm saf team...

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

Climate Monitoring State of climate system

Better understanding of climate variability

2

Global Station Network

Global Radiosonde NetworkEUMETSAT UFA 2018, Abidjan

Climate Monitoring State of climate system

Better understanding of climate variability

Basis are in situ measurements and more and more satellite-based data

3

Global Coverage of Satellites

EUMETSAT UFA 2018, Abidjan

Requirements for Climate Data

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Long-term time seriesTime

Val

ue

Calibration

x

Homogeneity

Quality control

x


The EUMETSAT SAF Network

EUMETSAT UFA 2018, Abidjan 5

Source: EUMETSAT

CM SAF Partners


Met Office, United Kingdom

Royal Meteorological Institute of Belgium

Swedish Meteorological and Hydrological Institute

Finnish Meteorological Institute

CM SAF Member StatesLocation of Partner NMHSs

Deutscher Wetterdienst

Centre National de la recherche scientifique

Global Energy and Water Cycle


Source: Wild et al., 2013

Global Energy and Water Cycle

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Source: Wild et al., 2013


CLAAS-2 Variables

Cloud propertiesLiquid and ice water path

ResolutionSpatial: 0.05° × 0.05° (0.25° × 0.25°)Temporal: hourly-, daily-, monthly means,

mean monthly diurnal cycle

CoverageSpatial: Meteosat diskTemporal: 2004 to 2015


DOI:10.5676/EUM_SAF_CM/CLAAS/V002

CLARA-A2 Variables

Cloud propertiesSurface albedoRadiation

ResolutionSpatial: 0.25° × 0.25°Temporal: daily-, pentad-,

monthly mean

CoverageSpatial: globalTemporal: 1982 to 2015


DOI:10.5676/EUM_SAF_CM/CLARA_AVHRR/V002

HOAPS Variables

Wind, humidity (close to surface)Precipitation, evaporationLatent heat fluxFresh water flux

ResolutionSpatial: 0.5° × 0.5°Temporal: 6-hourly-, monthly means

CoverageSpatial: global ice free oceanTemporal: 1987 to 2015


DOI:10.5676/EUM_SAF_CM/HOAPS/V002

SUMET Variables

Land surface temperature

ResolutionSpatial: 0.05° × 0.05°Temporal: hourly instantaneous,

monthly mean diurnal cycle


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DOI:10.5676/EUM_SAF_CM/LST_METEOSAT/V001


COMET Variables

Fractional cloud cover

ResolutionSpatial: 0.05° × 0.05°Temporal: hourly instantaneous,

daily and monthly means, monthly mean diurnal cycle


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DOI:10.5676/EUM_SAF_CM/CFC_METEOSAT/V001


CM SAF AOD Variables

Aerosol Optical Depth

ResolutionSpatial: nativeTemporal: daily-, monthly means


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DOI:10.5676/EUM_SAF_CM/MSG_AOD/V001


TOA Radiation Variables

TOA reflected solarTOA emitted thermal

ResolutionSpatial: 0.05° × 0.05°Temporal: daily and monthly means,

monthly means of hourly means


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DOI:10.5676/EUM_SAF_CM/CFC_METEOSAT/V001


SARAH-2.1 Variables

Global radiationSurface direct irradianceSpectral resolved irradianceEffective cloud albedoSunshine duration

ResolutionSpatial: 0.05° × 0.05°Temporal: 30 min, daily-, monthly means



DOI:10.5676/EUM_SAF_CM/SARAH/V002

SARAH-2 Sunshine Duration Sunshine duration important parameter

Tourism

Health Sector

Agriculture

Vegetation modelling

Solar energy

19EUMETSAT UFA 2018, Abidjan


Tourism

Health Sector

Agriculture


Solar energy

First satellite-based sunshine duration dataset for Europe and Africa



Tourism

Health Sector

Agriculture


Solar energy


Basis SARAH-2 DNI data

Evaluation showed good agreement with station data (< 9 %)



Tourism

Health Sector

Agriculture


Solar energy


Basis SARAH-2 DNI data

Evaluation showed good agreement with station data (< 9 %)

Suitable for many applications


Application Example Sunshine Duration


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

Application Example Sunny Days


Application Example Solar Atlas South Africa Colleagues from SAWS and JRC produced a solar atlas for South Africa using

CM SAF radiation data


Photovoltaic (PV) energy yield of Global Irradiation on optimally inclined plane for the year (kWh/m2)

Long-term Annual Mean for Global Horizontal Irradiance, period 2005–2014

Kindly provided by Lucky Ntsangwane (SAWS)

Application Example Solar Energy Trend Investigation of trend in solar energy potential for South Africa


Trend in CM SAF SARAH global radiation (Spring)Trend in station-based sunshine duration (Spring)

Jyotsna Singh and Andries Kruger, 2017

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

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


CM SAF Users

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Meteorological Services 34%

Researchinstitutes46%

Others0%

State authorities8%

Privatecompanies12%


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

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https://wui.cmsaf.eu


Data Access CM SAF products via EUMETCast:

Monthly mean fractional cloud cover

Monthly mean surface incoming shortwave radiation

NetCDF format

EUMETCast Africa:

Channel: SAF-AfricaPID: 301Multicast Address: 224.223.222.33

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https://eoportal.eumetsat.int


CM SAF R Toolbox CM SAF provides CM SAF R Toolbox for free

PreparePreparation 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)

VisualizeVisualization of CM SAF data

No R or scripting experiences required

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www.cmsaf.eu/toolsEUMETSAT UFA 2018, Abidjan

CM SAF R Toolbox Examples by UFA 2016 participants

Interesting seasonal patterns over Mauritius

Solar energy potential in Senegal


CM SAF R Toolbox

https://www.eumetsat.int/website/home/Images/ImageLibrary/DAT_3350160.html

https://www.eumetsat.int/website/home/Images/ImageLibrary/DAT_3585649.html


CM SAF R Toolbox


Training Training workshops in cooperation with EUMETSAT

Practical exercises with CM SAF data and tools

To learn more about EUMETSAT training workshops see:

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https://training.eumetsat.int


COULIBALY Kolotioloma Alama

from National Meteorological Service of Cote d’Ivoire

Email: [email protected]

CM SAF Training WorkshopPretoria (South Africa) 8 ‐ 12 June 2015

Training Project

Climatology pattern

-8 -7 -6 -5 -4 -3

5

6

7

8

9

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AbidjanAdiaké

BondoukouBouaké

DaloaDimbokro

Gagnoa

Korhogo

Man

Odienné

San-PédroSassandra

Tabou

Yamoussoukro

CM SAF Data Analysis: Burkina Faso Case

Study

Guillaume NAKOULMABurkina Faso Meteorological

Service

Spatial Distribution Climatology

SIS CFC PRECIP

KANGA Brou Isidore ([email protected])National Meteorological Service of COTE D’IVOIRE

LOROUGNON Tape Ferdinand([email protected])National Meteorological Service of COTE D’IVOIRE

Workshop on the Use of Gridded Satellite Data for Climate Services in AfricaPretoria: 20 to 24 November 2017

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ABIDJAN

Time series analysis of satellite data

Name Year Month Satellite data

Station data

ABIDJAN 1997 6 111,76 80,5

ASSESSING THE SHORTWAVE RADIATION DISTRIBUTION PATTERN IN NIGERIA USING CMSAF DATA

BYAGATHA OLUCHUKWU ANOKWU

Nigerian Meteorological Agency

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 http://www.cmsaf.eu/EN/Documentation/Journal_Articles/Journal_Articles_node.html

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Contact data:[email protected]


5th CM SAF USER-WORKSHOPMAINZ

3.06.2019 – 5.06.2019

satellite-based climate data records in support to climate ... · steffen kothe and cm saf team...

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