earsel workshop bern february 2014 eumetsats network of satellite application facilities lothar...

EARSel Workshop Bern February 2014

EUMETSATs Network of Satellite Application Facilities

Lothar Schüller

Slide: 2 EARSel Workshop February 2014 Bern

Outline

• EUMETSAT

• SAF Programmatic framework

• SAF concept and establishment

• SAF structure and processes

• SAF product characteristics

• Current SAF Network

• Committed SAF snow products

• SAF interaction with users

• SAF phasing

• Research and/to Operations

METOP A-B(LOW-EARTH, SUN – SYNCHRONOUS ORBIT)

EUMETSAT POLAR SYSTEM/INITIAL JOINT POLAR SYSTEM

JASON-2(LOW-EARTH, 63° INCL. NON SYNCHRONOUS ORBIT)

OCEAN SURFACE TOPOGRAPHY MISSION

METEOSAT 8-9-10 (2nd GENERATION)(GEOSTATIONARY ORBIT)

TWO-SATELLITE SYSTEM: - METEOSAT-9: FULL DISK IMAGERY MISSION AT 0° (15 MN)

- METEOSAT-8: RAPID SCAN SERVICE OVER EUROPE AT 9.5°E (5 MN)

METEOSAT – 7 (1st GENERATION) (GEOSTATIONARY ORBIT)

INDIAN OCEAN DATA COVERAGE MISSION AT 57°5 E

Current EUMETSAT satellites


EUMETSAT ground segment overview

EUMETSAT geostationary systemsMeteosat satellites

Jason-2Optional programme for ocean altimetry

EUMETSAT Polar SystemMetop satellites

Data acquisitionand control

Pre-processingEUMETSAT HQ

Data CentreEUMETSAT HQ Darmstadt

Meteorological product extractionEUMETSAT HQ Darmstadt

Satellite Application Facilitieswithin the Member States

Third-party

data sources

Data disseminationvia EUMETCast

ApplicationsGroundSegment

Centralised processingand generation of products

Decentralised processingand generation of products

Users

Flight Operations

NOAA satellites

Other satellites


What is a SAF?

• SAF = Satellite Application Facility

• part of the EUMETSAT application ground segment

• complement production of standard meteorological products at EUMETSAT central facility

• providing products and services to users

• specialised on topics and themes

• located at Weather Services in EUMETSAT Member and Co-operating States

• developed and operated by consortium of partners

Satellite ApplicationFacilities

SAFs

Satellite ApplicationFacilities

SAFs


What is a SAF?

• SAF is developed and operated in a consortium

• lead by a Leading Entity (a National Meteorological Service)

• involving partners in EUMETSAT Member and Co-operating states

• National Meteorological Services

• Other operational organisations

• Universities and Research Institutes

SAFSAF

Leading Entity

Leading Entity

PartnerInstitutePartnerInstitute Partner

InstitutePartnerInstitute

PartnerInstitutePartnerInstitute




User siteUser siteSAFSAF

For each pixel do derive datadoneend

How do SAFs work? Providing data products

UserUser

Some SAFs provide data products


How do SAFs work? Providing Software products

User siteUser siteUserUser

SAFSAF



Some SAFs provide softwareproducts


Nature of SAF products

The objective of SAFs is to provide operational products.

“Operational” means:

• Continuity of product provision • Continuity of product improvements• Continuous quality monitoring• Committed user services• Validation and review before official release• Complete Documentation of Products,

Algorithms, Validation Results• ...


EUMETSAT’s 8 Satellite Application Facilities

Support to Nowcasting and Very Short Range Forecasting

Ocean and Sea Ice

Climate Monitoring

Numerical Weather Prediction

Land Surface Analysis

Ozone and Atmospheric Chemistry Monitoring

Radio Occultation Meteorology

Support to Operational Hydrology and Water Management

SAF Consortium Member

6

7

8

5

4

3

2

1


Hydrology SAF

SAF on Support to Operational Hydrology and Water Management

Leading Entity: Italian Meteorological Service (USAM)

SAF products focuses on

precipitation

soil moisture

snow parameters

utilisation of these parameters in hydrological models and NWP


Currently available snow products from H SAF

“operational”:• Snow detection (snow mask) by VIS/IR

radiometry• Snow water equivalent by MW radiometry

“pre-operational”:• Effective snow cover by VIS/IR radiometry• Snow status (dry/wet) by MW radiometry


Snow detection by VIS/IR radiometry

• Binary map of snow / no-snow situation. • Using Meteosat/SEVIRI observation• Different methods used for flat/forested and mountainous

regions• Daylight product, output result every 24h • Probability Of Detection (POD): Flat / Forested areas: 85 %

Mountainous areas: 70% • False Alarm Rate (FAR): Flat / Forested areas: 15 %,

Mountainous areas: 20%


Snow status (dry/wet) by MW radiometry

• status of the snow mantle, whether it is wet or dry and, in time series, thawing or freezing.

• Multi-channel MW observations SSMIS on DMSP (middle frequencies), and the algorithm is based on thresholding.

• Requirements: • Hit Rate (HR): 80 % • False Alarm Rate (FAR): 10 %


Effective snow cover by VIS/IR radiometry

• Multichannel (VIS, NIR, IR) analysis • AVHRR on NOAA and Metop satellites • Requirement: 65% overall accuracy • Validation against snow observing stations


Snow water equivalent by MW radiometry

• Maps of snow water equivalent derived from MW measurements SSMIS on DMSP sensitive to snow thickness and density.

• Algorithm based on assimilating MW brightness temperatures of several channels at frequencies with different penetration in snow, into a first-guess field built by the (sparse) network of stations measuring snow depth.

• Requirements: • Flat / Forested areas: 20mm • Mountainous areas: 25mm


Interaction with Users: Services provided to users

UserUser

Near-Real-Time Products

EUMETCast

Internet(FTP, WEB)

Software and

off-line products

EUMETSATData CentreEUMETSATData Centre

SAFSAF


Documents• ATBD• Product User Manual• Validation Report

Documents• ATBD• Product User Manual• Validation Report


Interaction with Users:Feedback provided to SAFs

UserUser

UserHelpdeskUserHelpdesk

WorkshopsWorkshops

Beta userprogrammeBeta userprogramme

SAFSAF



SAF Network Phasing

SAFNWC SAF

OSI SAF

O3M SAF

NWP SAF

CM SAF

ROM SAF

LSA SAF

H-SAF

1997 2007 2012 2017 2022Developments and Initial Operations CDOP CDOP-2 CDOP3

MSG EPS MTG EPS-SG


Synergy: Research -> Operations

• SAFs embedded programmatically in the EUMETSAT mandatory programmes, currently secured until 2022.

• Current proposal for a EPS Second Generation Programme foresees funding for SAF development and operations until 2032.

• The purpose and commitment of SAFs is to:• deliver operational products addressing requirements of

the EUMETSAT member states• develop new products implementing mature retrievals

validated by Research (transition from Research to Operations)

• Next SAF development and operations phase (CDOP-3 for 2017-2022): proposals expected end of 2015.


SAF implementing mature research algorithm

Operational Data

products

Own Algorithm

Development

Implementation in processing

chain


SAF implementing mature research algorithm

Operational Data

products

Own Algorithm

Development

Implementation in processing

chain

External Algorithm

Development

Operational Data

products


Summary

SAF = Satellite Application Facility providing products and services to users

on an operational basis with a long-term perspective

specialised on topics and themes located at Weather Services in

EUMETSAT Member and Co-operating States

developed and operated by consortium of partners

part of the EUMETSAT application ground segment

complement production of standard meteorological products at EUMETSAT central facility in Darmstadt

Data and software are usable free of charge


BACKUP SLIDES


Why SAFs ? Facts and Objectives

Facts:• New generation of Meteorological Satellites (MSG and Metop as

well as MTG and EPS-SG) have much wider areas of application• specific expertise available in EUMETSAT's Member and

Cooperating States

Objectives:

• SAF concept encourage the utilisation of existing skills and infrastructure in Member- and Cooperating States for developing geophysical data products and services

• Facilitating cost-effective exploitation by ensuring services are distributed in the most appropriate way

• SAFs improve the ability of EUMETSAT Member States to exploit satellite data

• Fostering development of cooperation with non-Member States and other organisations


Nowcasting SAF

“Support to Nowcasting and Very Short Range Forecasting” (NWC SAF)

established to utilise the new data from Geostationary satellites (Meteosat and others) and the polar platforms (Metop, NOAA, Soumi NPP) for enhancing Nowcasting

Development of Software packages for the operational extraction of products relevant to Nowcasting and for local installation

Leading Entity is the Spanish Meteorological Agency AEMET in Madrid

Regular updated software packages since October 2004 Rapidly developing Thunderstorm Product


Ocean and Sea Ice SAF

Ocean and Sea Ice (OSI) SAF routinely produces and disseminates products characterising the ocean surface and the energy fluxes across the sea surface

Operationally produces information on the sea ice characteristics (extend, concentration, …)

Leading Entity is Météo-France in Lannion

OSI SAF distributes near real-time products based on NOAA, MSG, Metop, Oceansat, DMSP and GOES data

Sea surface temperature

Sea ice concentration


Ozone SAF

SAF on Ozone and Atmospheric Chemistry Monitoring (O3M SAF)

developed for the processing of data on ozone, other trace gases, aerosols and ultraviolet radiation

Emphasis on the Global Ozone Monitoring Experiment (GOME-2) and IASI on EPS (Metop)

Leading Entity is the Finnish Meteorological Institute FMI, Helsinki

First release of products in Summer 2007


Climate Monitoring SAF

SAF on Climate Monitoring generates and archives high-quality data-set for

specific climate application areas Currently concentrates on:

cloud parameters radiation budget parameters atmospheric humidity

Leading Entity is the German Weather Service DWD, Offenbach

NOAA-AVHRR based data operationally produced since November 2004, MSG based data from October 2005, Metop data used since 2009.

Climate Data Records: 20 years of SSM/I Water Vapour information released in 2009.

NOAA-AVHRR based 20 years of homogeneous data record (clouds, surface radiation) released 2012

Upcoming Climate Data Records based on SEVIRI, ATOVS, SSM/I


NWP SAF

SAF on Numerical Weather Prediction (NWP SAF)

aims at increasing the benefits to Met.-Services from Numerical Weather Prediction (NWP)

develops advanced techniques for the effective use of satellite data

development and maintenance of RTTOV radiative transfer model, ATOVS and AVHRR Pre-processing Package (AAPP)

Leading Entity is the UK MetOffice, Exeter


ROM SAF

SAF on Radio Occultation Meteorology

GRAS: Global Positioning System (GPS) Receiver for Atmospheric Sounding flown on EPS/Metop satellites

near real-time and offline:

sounding data (temperature, pressure, humidity)

corresponding validation products, and

assimilation software

The Leading Entity is the Danish Meteorological Institute DMI, Copenhagen

Software packages released since 2007, first NRT product dissemination in October 2008


Land Surface Analysis SAF

SAF on Land Surface Analysis (LSA SAF)

established to increase the benefit from MSG and EPS data related to land, land-atmosphere interaction and biospheric applications

Generates operationally data services related to Surface Radiation, Vegetation and wild fire

Leading entity is the Portuguese Institute for Meteorology IM, Lisbon


Hydrology SAF

SAF on Support to Operational Hydrology and Water Management

Leading Entity: Italian Meteorological Service (USAM)

SAF products focuses on

precipitation

soil moisture

snow parameters

utilisation of these parameters in hydrological models and NWP


SAF Development and Service Model

Beta-UserTasks

SAF Researchand Development

SAF OperationsInitial Objective

s

Initial and new User

Needs

Needs for Changes and

Improvements

Delivered SAF Services

Validated Products

User Provided Operational Feedback


CDOP review logic

Development Life Cycle

of new operational chains

ProductsDistribution

User SupportProvision

OperationsReporting

ORR

Previous Phase

OR

New/enhancedProductsDefinition

PCR

ProductsImprovement

Implementation

Committed operations baseline

updated baseline

updated baseline

User Workshops and Consultation

Product Consolidation Reviews

Operational Readiness Reviews

Operation Reviews

RRRequirementsReviews

SAF Development and Service Model


CDOP-2: Second slice of the Continuous Development and Operations Phase

SAF Network after 2012:

funding for 5 years of CDOP-2 and 5 more years for a CDOP-3 foreseen within the MTG budget

CDOP-2 started March 2012 Operational Continuation of existing products Development of new products and services (list of committed SAF

products soon to be available). Preparation activities of Meteosat Third Generation (MTG) based

products Exploitation of synergies within the Application Ground Segment

(SAF Network + Central Facilities) Reprocessing and homogeneous data set generation (e.g. for

climate applications) Integration and interfacing with other initiatives: GMES, WMO

SCOPE-CM, EUMETCal, GHRSST, GODAE, ESA CCI, etc.


Examples for new Developments in CDOP-2

Long-term satellite data records:

• CM SAF: Meteosat since 1982

• O3M SAF: GOME-2 since 2006

• OSI SAF: Sea Ice since 1978, Sea Surface Temperature since 2002

• ROM SAF: Reprocessing of all GNSS-RO missions (since 1995)

• LSA SAF: reprocessing of SEVIRI products (since 2002)


38

Application: PV GIS

Country-scale and Europe / Africa Maps


39

Application: SMA Solar Checker

www.sma.de→ Products→ Plant Planning



Bringing external developments into operations:

• O3M SAF: IASI products developed at LATMOS

• LSA SAF: NDVI (vegetation index from VITO, Belgium)

• NWC SAF: Precipitation based on cloud microphysics (KNMI)


V2013, GEO-CRRv4.0 outlook

41

CTMP Function: Based on the one developed by Roebeling and Holleman*

Cloud Top Microphysical Properties used by this algorithm:- Phase (Ph)- Effective radius (Reff)- Cloud water path (CWP)

Two steps:1.- Delimitation of the precipitation area2.- Assignment of rain rates

(*) Roebeling, R. A. and I. Holleman, 2009: SEVIRI rainfall retrieval and validation using weather radar observations. J. Geophys. Res., VOL. 114, D21202.

Liquid water path (LWP)Ice water path (IWP)


PREPARATIONS FOR V2013 – DAY-TIME ALGORITHMExample over Spain

42 42

CRR (3D Matrices)

CRR (CTMP function)

Radar (PPI)

22th August 2008 at 14:00 UTC


PREPARATIONS FOR V2013 – DAY-TIME ALGORITHM Comparison: 3D Matrices vs CTMP function

43

Accuracy Statistics

0

0,5

1

1,5

2

2,5

MEAN ME MAE RMSE

3D Matrices

CTMP Function

Categorical Statistics

0

10

20

30

40

50

60

70

80

90

FAR POD CSI PC

(%) 3D Matrices

CTMP Function

43

Dataset:Spain: 46 days, May-September 2008, 10:00 – 14:00 UTC every 30 min

RMS error decreases with CTMP function because precipitation maxima are better located and precipitation pattern is more accurate.

False alarms increases 1% while probability of detection increases 24% for this dataset.



New satellite sensors:• OSI SAF: OSCAT based wind

products• H SAF: GPM data• NWC SAF: Soumi NPP VIIRS,

additional GEO imager• ROM SAF: cosmic• Preparation for MTG and EPS-

SG

Slide: 45 EARSel Workshop February 2014 Bern 45

Development of PR-OBS-2

Initial VersionOperational

H02 Neural Network algorithm trained with a global CRD: not optimized for Europe/Mediterranean area; using different CRM than H01

Ver. 1Under verification

Operational Dec. 2012

H02 • Correction of corrupted channels [i.e., MetOp-A, AMSU-A Channel 7 (54 GHz)]

• Generation of a new version of the neural network algorithm, trained by the same CDRD as H01:

-Representativeness for Europe/Mediterranean basin-Harmonize products from cross-track and conical MW scanners

• Improvement of the screening procedures (under particularly unfavourable backgrounds (e.g., snow cover, coastlines)

• Quality flag and indication of phase (under verification)

Ver. 1 H02A H-SAF Area

Ver. 1 H02B Extension to Full Disk Area (exp. op. 2014)

Ver. 2 H18A H-SAF area: introduction of SSI index. (exp. op. 2017)

Ver. 2 H18B Full Disk Area (exp. op. 2017)

CD

OP

-1C

DO

P-2

Precipitation rate at ground by MW cross-track scanners

Rome, Italy Flash Flood20 Oct 20118:20 UTCMetOp-AAMSU/MHS

NN trained with Cloud Dynamics and Radiation Database CDRDNew Version

NN trained with global Cloud Radiation DatabaseCRD


Concept of the Hydrological Validation


Test catchments of the Hydrological Program



New product developments:• NWC SAF: Convection Initiation, Extrapolated

Imagery, precipitation approach• O3M SAF: trace gases (Formaldehyde, BrO, ..) and

aerosol properties from GOME-2• LSA / CM SAF: long-wave surface radiation from

SEVIRI

earsel workshop bern february 2014 eumetsats network of satellite application facilities lothar...

Documents

bern hydrology saf saf

nwp slide

earsel workshop bern

bern nature of saf products

mw radiometry slide

operational products

bern user site saf

h saf operational