Coordinatore | SVERIGES METEOROLOGISKA OCH HYDROLOGISKA INSTITUT
Organization address
address: Folkborgsvaegen 1 contact info |
Nazionalità Coordinatore | Sweden [SE] |
Totale costo | 7˙072˙124 € |
EC contributo | 4˙999˙727 € |
Programma | FP7-SPACE
Specific Programme "Cooperation": Space |
Code Call | FP7-SPACE-2013-1 |
Funding Scheme | CP-FP |
Anno di inizio | 2013 |
Periodo (anno-mese-giorno) | 2013-11-11 - 2018-01-01 |
# | ||||
---|---|---|---|---|
1 |
SVERIGES METEOROLOGISKA OCH HYDROLOGISKA INSTITUT
Organization address
address: Folkborgsvaegen 1 contact info |
SE (NORRKOEPING) | coordinator | 1˙323˙000.00 |
2 |
KONINKLIJK NEDERLANDS METEOROLOGISCH INSTITUUT-KNMI
Organization address
address: UTRECHTSEWEG 297 contact info |
NL (DE BILT) | participant | 783˙950.00 |
3 |
MET OFFICE
Organization address
address: FitzRoy Road contact info |
UK (EXETER) | participant | 614˙417.00 |
4 |
DEUTSCHER WETTERDIENST
Organization address
address: FRANKFURTER STRASSE 135 contact info |
DE (OFFENBACH AM MAIN) | participant | 487˙622.00 |
5 |
METEO-FRANCE
Organization address
address: AVENUE DE PARIS 73 contact info |
FR (SAINT MANDE CEDEX) | participant | 452˙520.00 |
6 |
RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONN
Organization address
address: REGINA PACIS WEG 3 contact info |
DE (BONN) | participant | 341˙520.00 |
7 |
UNIVERSITAT ROVIRA I VIRGILI
Organization address
address: CARRER DE ESCORXADOR contact info |
ES (TARRAGONA) | participant | 273˙600.00 |
8 |
EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS
Organization address
address: Shinfield Park contact info |
UK (READING) | participant | 246˙948.00 |
9 |
UNIVERSITY OF EAST ANGLIA
Organization address
address: EARLHAM ROAD contact info |
UK (NORWICH) | participant | 244˙800.00 |
10 |
EIDGENOESSISCHES DEPARTEMENT DES INNERN
Organization address
address: Inselgasse 1 contact info |
CH (BERN) | participant | 107˙280.00 |
11 |
METEOROLOGISK INSTITUTT
Organization address
address: HENRIK MOHNS PLASS 1 contact info |
NO (OSLO) | participant | 103˙820.00 |
12 |
ADMINISTRATIA NATIONALA DE METEOROLOGIE R.A.
Organization address
address: SOS. BUCURESTI-PLOIESTI 97 contact info |
RO (BUCURESTI SECTORUL 1) | participant | 20˙250.00 |
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
'An ensemble system of regional reanalyses will be developed and run for the climatological time scale. The
information content of the datasets and their uncertainties will be assessed in several ways and statistics
analysed.
The project will provide long-term datasets of Essential Climate Variables (ECVs) on the European regional
scale in order to support adaptation action and policy development. The datasets will contribute to Climate
services for Copernicus, climate monitoring and research.
Regional reanalyses will be made in Ensemble mode and there will also be individual reanalyses with different
models and methods. Observational data rescue (digitizing data in archives not currently available for use) will
continue from EURO4M and enhanced gridded datasets will be developed and used for validation. The
ensembles together with gridded datasets will form the basis for estimation of uncertainties of the constituent
members. Large datasets will be built up and open and user-friendly access methods will be established together
with the work in other topics of the SPACE call.
This project builds on the experiences and developments in EURO4M but now the reanalyses will cover
climate analysis time scales (30 to 50 years) and pioneer ensemble techniques for regional scale and highresolution
reanalysis. It will build on and extend the global reanalyses (topic -01 ERA-20C, ERA-CLIM2 and ERA-Interim).
Further downscaled high-resolution reanalyses will also be performed where more near surface ECV
observations can be utilized. Indicator information (including uncertainties) will be applied to the reanalyses and
there will be extensive validation against remote sensing and hydrological data. They will add to the validation
effort, respond to user requirements, and demonstrate how the reanalysis information is best utilized for
understanding past climates and climate change.'
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