the eumetsat satellite application facility on support to
DESCRIPTION
The EUMETSAT Satellite Application Facility on support to Operational Hydrology and Water Management (H-SAF) Bizzarro Bizzarri, on behalf of the H-SAF consortium Contents Background, objectives, partnership The products (precipitation, soil moisture, snow parameters) - PowerPoint PPT PresentationTRANSCRIPT
IPWG, 3rd Workshop, Melbourne, 23-27 October 2006 1
The EUMETSAT Satellite Application Facility on support toOperational Hydrology and Water Management (H-SAF)
Bizzarro Bizzarri, on behalf of the H-SAF consortium
Contents
• Background, objectives, partnership
• The products (precipitation, soil moisture, snow parameters)
• The Hydrological validation programme
• The stepwise development approach
• Some focus on the precipitation processing chain
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SATELLITE APPLICATION FACILITIES (SAF’s):
decentralised elements of the EUMETSAT Application Ground Segment
Meteosat MetOp-EPS Other satellites (NOAA, TRMM, AQUA, ...)
EUMETSAT Central Facility
NowcastingSAF
Ocean & IceSAF
ClimateSAF
NWPSAF
OzoneSAF
LandSAF
GRAS MeteoSAF
HydrologySAF
U S E R S
New !
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BACKGROUND
In recent years, the interest of the hydrological community for using satellitedata has rapidly increased because of:
• improved satellite data quality;
• improved performance of hydrological models including their capability to assimilate observational data.
Steps towards the establishment of H-SAF:
• 2000-2001: consultation among EUMETSAT Member and Cooperating States.
• 2001-2002: Working Group on a Potential SAF (established objectives).
• 2003-2004: SAF Hydrology Framework Working Group (defined scientific strategy and long term vision).
• 2005: Proposal for the H-SAF Development Phase (2005-2010) delivered.
• Development Phase approved by Council on 3 July 2005.
Status as of today:
• Kick-Off meeting held on 15 September 2005.
• Preliminary Design Review (PDR) (12-13 December 2006) being prepared.
The Operational Phase should follow in 2010-2015.
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Objectives of H-SAF
The objectives of H-SAF are:
• to provide new satellite-derived products:
- precipitation (liquid, solid, rate, cumulate)
- soil moisture (at surface, in the roots region)
- snow parameters (cover, melting conditions, water equivalent);
• to perform independent validation of the usefulness of the new products for hydrological applications.
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Composition of the H-SAF Consortium
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Satellite precipitation products and satellite data sources
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NOAA-18 (LST 14:00) (AMSU-A , MHS)
DMSP-16 (LST 8:15) (SSMIS)
DMSP-17 (LST 5:30) (SSMIS)
NOAA-17 (LST 10:24) (AMSU-A , AMSU-B)
MetOp-1 (LST 9:30) (AMSU-A , MHS)
Coverage each 3 hours by polar satellites operational in 2006
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DMSP-16
DMSP-17
NOAA-17
NOAA-18
MetOp-1
Meteosat-9
EOS/Aqua
NASA
REAL-TIMEPRE-
PROCESSING
PRODUCTGENERATION
Database of precipitating cloud
models
Tools for productvalidation and improvement
QUALITYCONTROL
EUMETSAT
MEMBERS AND
COOPERATING
STATES
Data from lightning networks
Meteorologicalmaps
VIS/IR/MWimages
Radarimages
TRMM
Datasets of AMSR-E + AMSU-A + HSBDatasets of TMI + PR + LIS
Feedback from National Civil
Protection
Data from raingauge networks
NATO
SSM/I
SSMIS
AMSU-A
AMSU-B
MHS
SEVIRI
Functional concept of the processing chain for precipitation products generation
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Satellite soil moisture products and satellite data sources
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ASCAT coverage in 24 h. The close-to-nadir 700-km gap in between the two 500-km lateral swaths is not shown
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Functional concept of the processing chain for soil moisture
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SM-OBS-1 – Soil moisture observed by radar scatterometer
End-users and H-SAF central archive
Quality control
Global parameter database
Global product Disaggregated product
Additional datasets
ASCAT Processing Chain
ASCAT
MetOp
European parameter database
Surface soil moisture products generation chain
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Surface Data Assimilation System
SM-OBS-1
Conventionalobservations
Satelliteobservations
Integrated Forecast System
SM-ASS-1 - Soil moisture from ECMWF assimilation
ZAMG product data base
Volumetric soil moisture product generation chain
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Satellite snow products and satellite data sources
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AVHRR coverage in 6 h by NOAA-17, NOAA-18 and
MetOp-1
MODIS coverage in9 h by EOS-Terra and EOS-Aqua
Coverage from AVHRR (in 6 hours) and MODIS (in 9 hours) during the Development Phase
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Vegetation,DEM, GIS
Tools for productvalidation and improvement
REAL-TIMEPRE-
PROCESSING
PRODUCTGENERATION
QUALITYCONTROL
EUMETSAT
MEMBERS AND
COOPERATING
STATES
Data from in-field snow stations
VIS/IR/MWimages
SEVIRI
SSM/I
AMSR-E
EOS/Aqua
EOS/Terra
MetOp-1
NOAA-17
NOAA-18
Meteosat-9
DMSP-16
DMSP-17
NATO
AVHRR
ASCAT
MODIS
Functional concept of the processing chain for snow products
Two similar chains active: in Finland for flat and forested areas in Turkey for mountainous regions.
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The hydrological validation programme
The hydrological validation programme must provide independentassessment of the impact of the new data on operational hydrology.
Activities:
• requirements analysis;
• development of methodology and algorithms for products up-scaling, down-scaling, averaging over catchments etc.;
• use of hydrological/hydrodynamic models for impact studies;
• determination of the requirements for improvements of product algorithms;
• validation of final products with use of hydrological models;
• developments of methodology and algorithms for merging satellite products with other data sources;
• creation of structure for on-going H-SAF products validation and quality assessment.
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Concept of the hydrological validation Cluster and its relation to Clusters 1-3
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The hydrological validation programme will make use of test sites
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Logic of the H-SAF Development Phase
Development work for improved
precipitation data quality
Routine production of precipitation data for systematic value
assessment
Development work for improved snow
data quality
Routine production of snow data for systematic value
assessment
Development work for improved soil
moisture data quality
Routine production of soil moisture data for systematic value
assessment
Development work for improved data
assimilation schemes
Space-time continuisation for
grid data at specified times by assimilation
Measured precipitation
Computed precipitation
Computed soil moisture
Computed snow parameters
Measured soil moisture
Measured snow parameters
Assessment programme to evaluate the benefit of satellite-derived precipitation, soil moistureand snow information in European hydrology and water resource management
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End-userfeedback
Augmenteddatabases
Advancedalgorithms
Newinstruments
Initialdatabases
Baselinealgorithms
Currentinstruments
Cal/valprogramme
Version-1 Version-2 Final VersionPrototyping
Operational End-users and Hydrological validation programme
Logic of the incremental development scheme
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Satellites bydirect read-out
Localdatabases
Products fromother SAF’s
Ancillary datalocally available
NWP productsand climatology
Satellites viaEUMETCast
INPUTDATA
Soil moistureat surface layer
AUSTRIASoil moisture
in roots regionECMWF
Snow parametersin flat land, forests
FINLANDSnow parametersin mountain areas
TURKEY
Precipitation products observed
and forecastITALY
CoordinationITALY as Host
PROCESSING
CENTRES
Various links
Operationalhydro services
Civil Protectionoperational units
Meteorological services
OPERATIONALEND-USERS
Dedicated links
H-SAFArchive
U-MARF
Institutes incharge of
hydrologicalvalidation
(led by POLAND)
Other R&D Institutes
SCIENTIFIC
USERS
U-MARF Client
Sketch system architecture of H-SAF
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SSM/I – SSMIS processing chain AMSU – MHS processing chain LEO/MW + GEO/IRprocessing chain
Precipitation products generation chain
SSM/I
DMSP F15
Processor
SSMIS
DMSP F16
Processor
AMSU-A
NOAA,MetOp
Processor
AMSU-B
NOAA 17
Processor
MHS
NOAA 18,MetOp
Processor
SEVIRI
Meteosat 8
Processor
PR-OBS-1 – Precipitation rate from LEO/MW PR-OBS-2 – Precipitation ratefrom blended LEO/MW and GEO/IR
Accumulated precipitationprocessing chain
PR-OBS-3 – Accumulated precipitationfrom LEO/MW and from LEO/MW+GEO/IR
End-users and H-SAF central archive
Quality control Quality control Quality control
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Flow chart of the SSM/I-SSMIS precipitation rate processing chain
Meteorologicalevents
Simulatedcloud microphysics
SimulatedMW radiances
Cloud-RadiationDatabase
Cloud ResolvingModel
Radiative TransferModel
Instrumentmodel
Actual SSM/I - SSMIS data (pre-processed)
Ingestionpreparation model
Precipitationretrieval model
Uncertaintyestimator model
Error structuredatabase
PRECIPITATION RATE
ERRORESTIMATE
OFF-LINE ACTIVITY REAL-TIME ACTIVITY
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AMSU-A (48 km)
AMSU-B or MHS (16 km)
AMSU-A (16 km)
Extraction of high-spatial frequency content
Geometrical manipulations(reduction to
vertical viewing)
Cloud microphysics provision (database
or in-line NWP model)TBD
Retrieval algorithm(Bayesian or neural
network)TBD
PRECIPITATION RATE
Flow chart of the AMSU-MHS precipitation rate processing chain
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SSM/I-SSMIS
AMSU-MHS
SEVIRI15-min images
~ 3-hourly sequenceof MW observations
Lookup tablesupdating Rapid-update
algorithm
Extraction of dynamical info
Morphingalgorithm
PRECIPITATIONRATE
Flow chart of the LEO/MW-GEO/IR-blending precipitation rate processing chain
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Precipitation ratefrom MW imageryevery 3-4 hours
(PR-OBS-1)
Library of error structure of PR-OBS-1
PR-OBS-1products archive
Precipitation ratefrom MW+IR imagery
every 15 minutes(PR-OBS-2)
Library of error structure of PR-OBS-2
PR-OBS-2products archive
On-line meteorological information(surface wind and temperature, …)
Accumulated precipitation over 24 h
from MW only
Accumulated precipitation over 24 h
from MW + IR
Accumulated precipitation over 12 h
from MW + IR
Accumulated precipitation over 6 h
from MW + IR
Accumulated precipitation over 3 h
from MW + IR
Flow chart of the accumulated precipitation processing chain
PR-OBS-3products
generation
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SSM/I – SSMIS processing chain AMSU – MHS processing chain
Precipitation and derived products by a meso-scale NWP model
SSM/I
DMSP F15
Processor
SSMIS
DMSP F16
Processor
AMSU-A
NOAA,MetOp
Processor
AMSU-B
NOAA 17
Processor
MHS
NOAA 18,MetOp
Processor
Analysed precipitation rate (PR-ASS-1)
End-users and H-SAF central archive
High resolution model synthetic radiances
1D VAR Analysis
High resolution model Integration
Analysed hydrometeor profiles
Accumulated precipitation
Soil moisture (exp.)
Snow water equivalent (experim.)
Forecast precipitation ratePR-ASS-2
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CONCLUSIONS
H-SAF could strongly expand the use of satellites in Hydrology.
The Development Phase (2005-2010) will:
• make available new products (precipitation, soil moisture, snow parameters) in a pre-operational fashion;
• progressively improve products quality through a continuous development programme parallel to the pre-operational activity;
• independently assess the benefit of the new products through a hydrological validation programme.
Consequent to:
• demonstrated feasibility and affordability of generating the new products;
• demonstrated cost-effectiveness for application to Hydrology;
a possible Operational Phase (2010-2015) could follow.
Cooperation with IPWG is essential for H-SAF:
• H-SAF is not for science: it is for implementing an operational application;
• all algorithms being used or considered for use stem from IPWG activity;
• for products cal/val it is envisaged to heavily rely on IPWG settlements.