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The ENSEMBLES Downscaling Portal - GO-ESSP

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<strong>GO</strong>-<strong>ESSP</strong> Workshop 2009.October 6th-8th, 2009, Hamburg<strong>The</strong> <strong>ENSEMBLES</strong>http://www.meteo.unican.es<strong>Downscaling</strong> <strong>Portal</strong>A user-friendly GRID based tool for GCMpost-processing and downscalingAntonio S. CofiñoD. San-Martín, J.M. Gutiérrez, C. Sordo, J.Fernández, D. Frías, M.A. Rodríguez, S.Herrera, R. Ancell, M. Pons, B. Orfila, E. DíezSantanderMeteorologyGroup


Motivation<strong>The</strong>re are many projects around the world producing global (GCM)and regional (RCM) simulations of climate change.http://www.meteo.unican.esMany of these projects involve end-uses from impact sectors ...However, it is still difficult for end-users to access the storedsimulations and to post-process them to be suitable for their ownmodels: daily resolution, interpolation to prescribed locations, etc.<strong>The</strong>re is a need of friendly interactive tools so userscan easily run interpolation/downscaling jobs on their owndata using the existing downscaling techniques andsimulation datasets (AR4, Prudence, <strong>ENSEMBLES</strong>, ...).


www.meteo.unican.es/ensembleshttp://www.meteo.unican.es


GRID Computing Infrastructure•Jobs submission based on gLite middleware.•A lot of ongoing work for GRID integration making the end-user life easier.http://www.meteo.unican.es•<strong>The</strong> EGEE project it is negotiating the license schema for using MATLABin EGEE’s sites.•Currently we are handling locally 10TB of data from models andobservations.


Data Availability. Observations• ECA (European Climate Assessment & Dataset project). Dailydatasets of precipitation, temperature, pressure, humidity, cloud cover,sunshine and snow depth since 1900 over networks of 100-1000stations.http://www.meteo.unican.es• Ensembles 50km gridded dailyobservation records of precipitationand surface temperature. 1950-2006.


Data Availability. GCMs• Minimum set of variables for each model:http://www.meteo.unican.es• Not always possible due limitations in model data availability


Data Availability. Reanalysis & S2DData available for the European region:• NCEP/NCAR Reanalysis1. 1948-2007• ERA40 ECMWF: 1957-2002• JRA25 Japanese Reanalysis: 1979-2004http://www.meteo.unican.esA smaller worldwide dataset is also available• DEMETER. Multi-model seasonal prediction experimentincluding seven models ran for six months four times a yearusing 9 different perturbed initial conditions (9 members).Available for Europe• <strong>ENSEMBLES</strong> Stream 2 Seasonal Hindcast, using OPeNDAP:http://ensembles.ecmwf.int/thredds


Data Availability. ACCDaily global datasets obtained fromdifferent sources:• CERA• IPCC data centre (PCMDI)• Local Providers.http://www.meteo.unican.es• PCMDI_CGCM3. Canadian Centre for Climate Modelling andAnalysis, including 20th century (from 1951 to 2000) and scenariosA1B, B1 (periods 2046-2065 and 2081-2100).• CERA_MPI-ECHAM5, including 20th century data (1961-2000)and scenarios A1B, B1, and A2 (2001-2100).• CNRM-CM3 (local provider), including 20th century (1961-2000)and scenarios A1B, B1, and A2 (2001-2100).We will continue including datasets as they become available anddemanded by user.


Data Access <strong>Portal</strong>http://www.meteo.unican.es60,Potential Vorticity,PV129,Geopotential,Z130,Temperature,T131,U velocity,U132,V velocity,V133,Specific humidity,Q136,Total Column Water,TCW137,Total Column Water Vapour,TCWV138,Relative vorticity,VO142,Large Scale Precipitation,LSP143,Convective Precipitation,CP151,MSLP,MSL155,Divergence,D157,Relative humidity,R165,10m E-Wind Component,10U166,10m N-Wind Component,10V167,2m Temperature,2T168,2m Dew Point,2D1000, 925, 850, 700, 500, 30000, 06, 12, 18 , 24 UTC1.125ºx1.125º resolution


Data Access: s2d & acchttp://www.meteo.unican.es


Statistical <strong>Downscaling</strong> <strong>Portal</strong>Problem: Local climate change prediction forMadrid (Spain): maximum temperaturehttp://www.meteo.unican.esGoal: Provide daily local values for the summerseason june-august 2010-2040 in a suitable format(e.g., text file, or Excel file).Regional zoneLocal zonePredictors(T(1ooo mb),..., T(500 mb);Z(1ooo mb),..., Z(500 mb);H(1ooo mb),..., H(500 mb))X n<strong>Downscaling</strong>ModelRegres, CCA, …Y n= W T X nPrecipitationTemperatureY nPredictandsThis is the structure followed in the portal’s design:predictors + predictand + downscaling method.


Demo... My Home<strong>The</strong> “My Home”tab allows theuser to explore:http://www.meteo.unican.es1. <strong>The</strong> zones(pre-definedregions).2. <strong>The</strong> profilewith theaccountinformation.3. <strong>The</strong> statusof the jobs:queued,running,finished.


Demo... Predictorshttp://www.meteo.unican.esA simple zone witha single predictorparameter:T850mbwas created.New zones can beeasily defined byclicking in the “newzone” button.


Demo... predictandhttp://www.meteo.unican.es


Demo... <strong>Downscaling</strong> Methodhttp://www.meteo.unican.es


Demo... Validationhttp://www.meteo.unican.es


Demo... Regional Projectionhttp://www.meteo.unican.es


Demo...Time to ComputeScheduling the jobhttp://www.meteo.unican.esFive minutes later ...


Current Status• Support for users in <strong>ENSEMBLES</strong> project.• Data access for Reanalysis, Seasonal2Decadal andClimate Change models.http://www.meteo.unican.es• Users can use common observations datasets orupload their own data for downscaling.• Data access control based on user authentication andauthorization.• User can choose predictors, predictands and transferfunction to be used in the downscaling process.• Quality assessment of the downscaling.• Download the downscaled data.


• End-user tool for new projects and applications:Future actions•QWeCI: Quantifying Weather and Climate Impacts on Health inDeveloping Countrieshttp://www.meteo.unican.es•FUME (Forest fires under climate, social and economic changes inEurope, the Mediterranean and other fireaffected areas of the world )•South America and India users• Data access and storage: towards remote accessing of datasets basedon OPeNDAP. Reanalysis, S2D & ACC simulations.• Incorporate more statistical downscaling tools.• Full integration with on GRID technologies to provide more resourcesfor new users. Collaboration with EGEE, EGI, SSC-ES, EELA andothers initiatives• Integrate catalog capabilities for model and observation data.METAFOR, Climate-G initiatives (see tomorrow`s presentations)


http://www.meteo.unican.esThank you !!!Please, for more information visit us athttp://www.meteo.unican.esor e-mail us atmeteo@unican.esSantanderMeteorologyGroup

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