Transcript Folie 1 - Eumetrain

EUMETSAT‘s CM-SAF
CDOP2 science overview
Rainer Hollmann
Deutscher Wetterdienst (DWD)
http://www.cmsaf.eu
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Content
 Participants
 CM SAF in CDOP
 CM SAF definitions
 User communities & history
 CDOP2 portfolio of CM SAF
 Generation of CDR’s
 CDR examples
 Summary
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Participants II
Which course of this event week have you attended? Please vote
 1st - CM SAF Overview (Christine Träger-Chatterjee)
 2nd - Introduction to Software Tools (Jörg Trentmann )
 3rd -Cloud Retrieval (Karl Göran Karlsson)
 4th - The AVHRR Globala Climate Dataset of Clouds and Radiation (Karl Göran Karlsson)
 5th - Top-of-the-atmosphere Radiation Parameters (Nicolas Clerbaux)
 6th - Surface Radiation Retrieval (Rebekka Posselt )
 7th - Surface Radiation Climate Dataset from Meteosat (Rebekka Posselt)
 8th - Operational Products on Clouds and Radiation (Anke Kniffka)
 9th - The Ocean Climate Data Set HOAPS (Karsten Fennig)
10th - Global Moisture and Temperature operational Products (Nathalie Courcoux)
 none
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Content
 Participants
 CM SAF in CDOP
 CM SAF definitions
 User communities & history
 CDOP2 portfolio of CM SAF
 Generation of CDR’s
 CDR examples
 Summary
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Product vs Data Set
Longterm
Short and Intermediate Term
Satellite
Data
Observing system
performance monitoring
& automated corrections
Archived
Satellite
Data Records
Re-calibration &
Inter-calibration,
Fundamental
Climate
Data Records
Reprocessing
Operational Products
Thematical Climate Datasets
• generated on a monthly
basis
• First-order satellite
calibration
• Algorithm and input data
not homogeneous over
time
• Resulting time series not
applicable
for all climate monitoring
purposes, e.g. trend
estimation
• Generated on an irregular basis,
e.g. every 2 years
• Calibrated and homogenized
satellite data
• Algorithm and auxiliary input data
homogeneous over time
• Resulting time series fully
applicable for climate monitoring
purposes, including trend
estimation
Longer term climate
variability &
climate change analysis
Operational
Climate
monitoring
Schulz (2009), adapted
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Sustained Climate
Information Flow
 CM SAF is part of the EUMETSAT Ground Segment
 Project-cycle is 5 years.
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Sustained Climate
Information Flow
CM SAF
IOP/2004
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Sustained Climate
Information Flow
CM SAF
CDOP/2007
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Sustained Climate
Information Flow
CM SAF
CDOP2/2012
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Users & products
Operational Products
Cloud products
• Cloud phase (CPH)
• Cloud top pressure / temperature / height (CTP
/ CTT / CTH)
• Cloud water path (CWP)
• Cloud type (CTY)
• Cloud optical thickness (COT)
TOA Radiation products
• TOA incoming solar radiation (TIS)
• TOA emitted thermal radiation (TET)
• TOA reflected solar radiation (TRS)
Surface Radiation products
•
•
•
•
•
•
•
Surface downwelling longwave radiation (SDL)
Surface netto longwave radiation (SNS)
Surface outgoing longwave (SOL)
Direct irradiation at the surface (SID)
Surface radiation budget (SRB
Surface netto shortwave (SNS)
Surface Albedo (SAL)
Thematical Climate Datasets
• Integrated water vapor (HTW)
• Cloud Albedo (CAL)
• Solar irradiation at the surface
(SIS)
• Direct irradiation at the surface
(SID)
• HOAPS:
• Precipitation
• Evaporation
• Specific humidity
• Wind
• latent heat
Water Vapour/Temp. products
• Layered watervapor, temperature, humidity
(HLW)
• Layered temperature, specific humidiy (HSH)
• Vertically integrated water vapor (HTW)
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Users & products
Operational Products
Cloud products
• Cloud phase (CPH)
• Cloud top pressure / temperature / height (CTP
/ CTT / CTH)
• Cloud water path (CWP)
• Cloud type (CTY)
• Cloud optical thickness (COT)
TOA Radiation products
• TOA incoming solar radiation (TIS)
• TOA emitted thermal radiation (TET)
• TOA reflected solar radiation (TRS)
Surface Radiation products
•
•
•
•
•
•
•
Surface downwelling longwave radiation (SDL)
Surface netto longwave radiation (SNS)
Surface outgoing longwave (SOL)
Direct irradiation at the surface (SID)
Surface radiation budget (SRB
Surface netto shortwave (SNS)
Surface Albedo (SAL)
Water Vapour/Temp. products
• Layered watervapor, temperature, humidity
(HLW)
• Layered temperature, specific humidiy (HSH)
• Vertically integrated water vapor (HTW)
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Indicate (e.g. with a star) which product
have you been using/ ordering / planning
to use!
Thematical Climate Datasets
• Integrated water vapor (HTW)
• Cloud Albedo (CAL)
• Solar irradiation at the surface
(SIS)
• Direct irradiation at the surface
(SID)
• HOAPS:
• Precipitation
• Evaporation
• Specific humidity
• Wind
• latent heat
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Users & products
Orders show:
• strong demand of climate
data sets
• demand for higher spatial /
temporal resolution
• demand for Climate
services
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Targeted User Communities
 Global and regional climate trends and variability analysis
 high quality Climate Data Records (CDR) are expected e.g. for climate
studies in contribution to IPCC.
 Thematic Climate Data Records (TCDR) from CM SAF will provide consistent
information on Essential Climate Variables (ECV) related to the global
energy and water cycle supporting closure studies
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Targeted User Communities
 Global and regional climate trends and variability analysis
 high quality Climate Data Records (CDR) are expected e.g. for climate
studies in contribution to IPCC.
 Thematic Climate Data Records (TCDR) from CM SAF will provide consistent
information on Essential Climate Variables (ECV) related to the global
energy and water cycle supporting closure studies
 Support to global and regional climate modelling
 use of Climate Data Records for model evaluations, feedback studies, and
uncertainty studies
 these datasets needed at high(er) temporal and spatial resolutions
 most recent satellite instrument, only cover short time periods.
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Targeted User Communities
 Global and regional climate trends and variability analysis
 high quality Climate Data Records (CDR) are expected e.g. for climate
studies in contribution to IPCC.
 Thematic Climate Data Records (TCDR) from CM SAF will provide consistent
information on Essential Climate Variables (ECV) related to the global
energy and water cycle supporting closure studies
 Support to global and regional climate modelling
 use of Climate Data Records for model evaluations, feedback studies, and
uncertainty studies
 these datasets needed at high(er) temporal and spatial resolutions
 most recent satellite instrument, only cover short time periods.
 Climate service and infrastructure planning
 long term Climate Data Records (of ECVs) AND near real time operational
products required
 Consistent climate datasets and according near real time operational
products needed (identical algorithm and auxilliary data)
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Targeted User Communities
Where do you (best) belong to? –> Nummer oder Farben für die einzelnen Segment
nutzen.
 Survey here
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Content
 Participants
 CM SAF in CDOP
 CM SAF definitions
 User communities & history
 CDOP2 portfolio of CM SAF
 Generation of CDR’s
 CDR examples
 Summary
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Research
Maturity
Operations
CDR Generation
An Evolutionary process
1 - Initial
Courtesy J. Bates
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Research
Maturity
Operations
CDR Generation
An Evolutionary process
2 - Experimental
1 - Initial
Courtesy J. Bates
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Research
Maturity
Operations
CDR Generation
An Evolutionary process
3 - Provisional
2 - Experimental
1 - Initial
Courtesy J. Bates
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Research
Maturity
Operations
CDR Generation
An Evolutionary process
4 - Demonstrated
3 - Provisional
2 - Experimental
1 - Initial
Courtesy J. Bates
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Operations
CDR Generation
An Evolutionary process
Research
Maturity
5 - Sustained
4 - Demonstrated
3 - Provisional
2 - Experimental
1 - Initial
Courtesy J. Bates
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CDR Generation
An Evolutionary process
Operations
6 - Benchmark
Research
Maturity
5 - Sustained
4 - Demonstrated
3 - Provisional
2 - Experimental
1 - Initial
Courtesy J. Bates
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Scientific Requirements
to climate Data
x
Value
x
Time
Sufficiently long time series
Homogeneous
Calibrated
Point of measurement
x
Representative
Quality controled
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Additional Requirements
to Climate Data Records
Climate data record =
time series of measurements of sufficient length,consistency,
and continutity to determine climate variablility and change
(NRC, 2000)
Transparent
Open accountable in every aspect
Sustainable
Potential for long-term maintenance
Preserved
Secure in perpetuity
Extensible
Forward compability in accomodating new data from
existing or new instruments
Accessible
Easy obtainable, affordable and understandable
Scientifically
defensible
Based on testable hypotheses and methodologies
that have been peer reviewed
Continuously
assessed/improved
Evaluated on a schedule basis, possibility to incorporate
better/improved methods
Reproducible
Producing consistent results within machine rounding errors
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Product portfolio in
CDOP2
Sensor, Satellite resp.
Parameter
Release
date
Period
Coverage
Fundamental Climate Data Record (FCDR)
Microwave Radiances
2014
2016
1987 - 2012
1987 - 2014
global ice free ocean
SEVIRI
Cloud parameters, aerosol optical
depth
2015
2004 - 2014
Europe & Africa
GERB/SEVIRI
Top of atmosphere radiative fluxes
2015
2004 - 2014
Europe & Africa
MVIRI/SEVIRI
Cloud parameters, surface radiation
parameters, land surface temp., FTH
2014
2016
1983 - 2012
1983 - 2015
Europe & Africa
MVIRI/SEVIRI/GERB
Top of atmosphere radiative fluxes
2015
1982 - 2014
Europe & Africa
AVHRR GAC
Cloud parameters, surface radiation
parameters, incl. albedo
2014
2016
1982 - 2013
1978 - 2015
global
TOVS/ATOVS
(high) cloud amount and top
2016
1984 - 2009
global
SSM/I, SSMIS
HOAPS
2015
2017
1987 - 2012
1987 - 2014
global ice free ocean
SSM/I, SSMIS
Climate Data Record (CDR)
Environmental Data Record (EDR)
SEVIRI
Cloud parameters, surface radiation
monthly
2005 - today
Europe & Africa
SEVIRI/GERB
Top of atmosphere radiative fluxes
monthly
2004 - today
Europe & Africa
AVHRR
Cloud parameters, surface radiation,
surface albedo
monthly
> 2014
global
ATOVS
Water vapour, temperature
monthly
2004 - today
global
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Product portfolio in
CDOP2
Sensor, Satellite resp.
Parameter
Release
date
Period
Main Application
Areas
Fundamental Climate Data Record (FCDR)
SSM/I, SSMIS
Microwave Radiances
2014
2016
1987 – 2012
1987 - 2014
Climate Data Record (CDR)
SEVIRI
Cloud parameters, aerosol optical dep.
2015
2004 - 2014
GERB/SEVIRI
Top of atmosphere radiative fluxes
2015
2004 - 2014
MVIRI/SEVIRI
Cloud parameters, surface radiation
parameters, land surface temp., FTH
2014
2016
1983 – 2012
1983 - 2015
MVIRI/SEVIRI/GERB
Top of atmosphere radiative fluxes
2015
1982 - 2014
AVHRR GAC
Cloud parameters, surface radiation
parameters, incl. albedo
2014
2016
1982 – 2013
1978 - 2015
TOVS/ATOVS
(high) cloud amount and top
2016
1984 - 2009
SSM/I, SSMIS
HOAPS
2015
2017
1987 – 2012
1987 - 2014
Environmental Data Record (EDR)
SEVIRI
Cloud parameters, surface radiation
monthly
2005 - today
SEVIRI/GERB
Top of atmosphere radiative fluxes
monthly
2004 - today
AVHRR
Cloud parameters, surface radiation
param., incl. albedo
monthly
> 2014
ATOVS
Water vapour, temperature
monthly
2004 - today
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Content
 Participants
 CM SAF in CDOP
 CM SAF definitions
 User communities & history
 CDOP2 portfolio of CM SAF
 Generation of CDR’s
 CDR examples
 Summary
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New Products: examples
Sensor, Satellite resp.
Parameter
Release
date
Period
Coverage
Fundamental Climate Data Record (FCDR)
Climate Data Record (CDR)
AVHRR GAC
Cloud parameters, surface radiation
parameters, incl. albedo
2014
2016
1982 – 2013
1978 - 2015
global
monthly
> 2014
global
Environmental Data Record (EDR)
AVHRR
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Cloud parameters, surface radiation,
surface albedo
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New Products:
examples (I)
AVHRR GAC data
sets ”CLARA”
(1978-2013/2015)
• Edition 2 (2014): Improved dependencies on surface
characteristics (albedo, emissivity), probabilistic cloud
mask,
• Edition 3 (2016): Extension 1978-1981; [1982 – 2009];
2010 - 2015, calibration / navigation upgrades, orbital
drift corrections
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AVHRR GAC Editions in CDOP2:
Improvement of homogeneity
• First GAC edition show signs of artificial trends due to
e.g. inhomogeneous temporal sampling (see above)
• New editions aim for reduction of inhomogeneities,
improving error estimations and upgrading algorithms
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New Products:
examples (II)
Sensor, Satellite resp.
Parameter
Release
date
Period
Coverage
Fundamental Climate Data Record (FCDR)
SSM/I, SSMIS
Microwave Radiances
2014
2016
1987 – 2012
1987 - 2014
2015
2017
1987 – 2012
1987 - 2014
global ice free ocean
Climate Data Record (CDR)
SSM/I, SSMIS
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HOAPS
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HOAPS editions
• Extend in time with SSMIS
• Update retrieval schemes.
• Include uncertainty estimates.
Apply triple collocation to
separate uncertainty terms.
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New Products:
examples (III)
Sensor, Satellite resp.
Parameter
Release
date
Period
Coverage
Fundamental Climate Data Record (FCDR)
Climate Data Record (CDR)
SEVIRI
Cloud parameters, aerosol optical dep.
2015
2004 - 2014
Europe & Africa
GERB/SEVIRI
Top of atmosphere radiative fluxes
2015
2004 - 2014
Europe & Africa
MVIRI/SEVIRI
Cloud parameters, surface radiation
parameters, land surface temp., FTH
2014
2016
1983 – 2012
1983 – 2015
Europe & Africa
MVIRI/SEVIRI/GERB
Top of atmosphere radiative fluxes
2015
1982 – 2014
Europe & Africa
Environmental Data Record (EDR)
SEVIRI
Cloud parameters, surface radiation
monthly
2005 - today
Europe & Africa
SEVIRI/GERB
Top of atmosphere radiative fluxes
monthly
2004 - today
Europe & Africa
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European Heatwave 2003
Land Surface Temperature
Anomalies
for
July/August 2003
(MODIS / Terra - Product)
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European Heatwave 2003
Land Surface Temperature
Anomalies
for
July/August 2003
(MODIS / Terra - Product)
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Land Surface Temperature
for MFG and MSG
• Usage and Motivation
- Climate monitoring of drought conditions (e.g. Europe 2003!)
- Essential physical state variable for land surface processes
- Constraint for outgoing longwave radiation and turbulent land fluxes
• Target Accuracy
-
1 K bias, 2 K, 1.5 K, 1.0 K rmse (hourly / daily / monthly)
• Algorithm & Satellite (MVIRI/SEVIRI)
- 10.8 um only: based on published method of LSA SAF
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New Products:
examples (IV)
Sensor, Satellite resp.
Parameter
Release
date
Period
Coverage
Fundamental Climate Data Record (FCDR)
MVIRI/SEVIRI
Cloud parameters, surface radiation
parameters, land surface temp., FTH
2014
2016
1983 - 2012
1983 - 2015
Europe & Africa
Environmental Data Record (EDR)
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MVIRI/SEVIRI data set
MAGICSOL CDR
seasonal means
of cloud albedo
(top, CAL), solar
direct (middle,
SID, and solar
radiation
(bottom, SIS).
MVIRI /SEVIRI data sets (1982-2014)
-Editions (2014, 2016): Extension 1982(?); [1983 – 2005]; 2012-2014,
Upgrade calibration, Improvements of Heliosat method
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MFG vs. MSG Cloud
Mask Evaluation
MSG
MFG (simulated)
Development towards a consistent satellite independent cloud mask
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MFG vs. MSG Cloud
Mask Evaluation
MSG
MSG: mean CFC 43 %
29. June 2012
MFG (simulated)
MSG: mean CFC 42 %
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New Products:
examples (V)
Sensor, Satellite resp.
Parameter
Release
date
Period
Coverage
Fundamental Climate Data Record (FCDR)
Climate Data Record (CDR)
GERB/SEVIRI
Top of atmosphere radiative fluxes
2015
2004 - 2014
Europe & Africa
Environmental Data Record (EDR)
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MVIRI/SEVIRI TOA
radiation budget



Empirical method
for MVIRI/SEVIRI
and GERB
Based on
MVIRI/SEVIRI
FCDRs and model
of spectral
degradation
1982-2014,
(0.05°)² resolution
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Time series of the MVIRI visible
radiances for different scene types,
after correction of spectral
degradation.
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MVIRI/SEVIRI TOA
radiation budget

El Chichon, Mt. Pinatubo? Please mark!
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Product portfolio in
CDOP2
Sensor, Satellite resp.
Parameter
Release
date
Period
Coverage
Fundamental Climate Data Record (FCDR)
Microwave Radiances
2014
2016
1987 - 2012
1987 - 2014
global ice free ocean
SEVIRI
Cloud parameters, aerosol optical
depth(?)
2015
2004 - 2014
Europe & Africa
GERB/SEVIRI
Top of atmosphere radiative fluxes
2015
2004 - 2014
Europe & Africa
MVIRI/SEVIRI
Cloud parameters, surface radiation
parameters, land surface temp., FTH
2014
2016
1983 - 2012
1983 - 2015
Europe & Africa
MVIRI/SEVIRI/GERB
Top of atmosphere radiative fluxes
2015
1982 - 2014
Europe & Africa
AVHRR GAC
Cloud parameters, surface radiation
parameters, incl. albedo
2014
2016
1982 - 2013
1978 - 2015
global
TOVS/ATOVS
(high) cloud amount and top
2016
1984 - 2009
global
SSM/I, SSMIS
HOAPS
2015
2017
1987 - 2012
1987 - 2014
global ice free ocean
SSM/I, SSMIS
Climate Data Record (CDR)
Environmental Data Record (EDR)
SEVIRI
Cloud parameters, surface radiation
monthly
2005 - today
Europe & Africa
SEVIRI/GERB
Top of atmosphere radiative fluxes
monthly
2004 - today
Europe & Africa
AVHRR
Cloud parameters, surface radiation,
surface albedo
monthly
> 2014
global
ATOVS
Water vapour, temperature
monthly
2004 - today
global
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What do you think is
missing?
Participants to use text-functionality
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Content
 Participants
 CM SAF in CDOP
 CM SAF definitions
 User communities & history
 CDOP2 portfolio of CM SAF
 Generation of CDR’s
 CDR examples
 Summary
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Summary
• CM SAF exploits satellite based remote sensing data to derive Climate Data
Records (CDR) for Essential Climate Variables (ECV) with special emphasis on
three target user groups
• Global and regional climate trends and variability analysis
• Support to global and regional climate modelling
• Climate service and infrastructure planning
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Summary
• CM SAF exploits satellite based remote sensing data to derive Climate Data
Records (CDR) for Essential Climate Variables (ECV) with special emphasis on
three target user groups
• Global and regional climate trends and variability analysis
• Support to global and regional climate modelling
• Climate service and infrastructure planning
• CM SAF develops and improves methods to derive CDRs on an operational basis
and in a sustained mode.
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Summary
• CM SAF exploits satellite based remote sensing data to derive Climate Data
Records (CDR) for Essential Climate Variables (ECV) with special emphasis on
three target user groups
• Global and regional climate trends and variability analysis
• Support to global and regional climate modelling
• Climate service and infrastructure planning
• CM SAF develops and improves methods to derive CDRs on an operational basis
and in a sustained mode.
• CM SAF maintains and provides an operational and sustained infrastructure that
can serve the community within the transition of mature CDR products from the
research into operational environments.
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Summary
• CM SAF exploits satellite based remote sensing data to derive Climate Data
Records (CDR) for Essential Climate Variables (ECV) with special emphasis on
three target user groups
• Global and regional climate trends and variability analysis
• Support to global and regional climate modelling
• Climate service and infrastructure planning
• CM SAF develops and improves methods to derive CDRs on an operational basis
and in a sustained mode.
• CM SAF maintains and provides an operational and sustained infrastructure that
can serve the community within the transition of mature CDR products from the
research into operational environments.
• CM SAF complement and improve its portfolio of CDRs of the global energy and
water cycle
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