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ECMWF Status Report. Stephen English ECMWF. Brief overview of ECMWF systems and activities Overview of operational satellite data usage / monitoring Research topics related to satellite observations. Overview:. Main areas of activity at ECMWF. Numerical Weather Prediction (NWP).
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ECMWF Status Report Stephen English ECMWF
Brief overview of ECMWF systems and activities Overview of operational satellite data usage / monitoring Research topics related to satellite observations Overview:
Main areas of activity at ECMWF Numerical Weather Prediction (NWP) Environmental monitoring and modelling Historical reanalysis for climate research
Numerical Weather Prediction (NWP) HIRES + ENS Monthly Seasonal
Environmental monitoring and modelling Estimating greenhouse gas concentration and flux inversion Monitoring and forecasting trajectory of dust events Monitoring and forecasting trajectory of volcanic events
Re-analysis for climate research Trend analysis of climate parameters Improved climatology for process studies Cleansed historical observation data sets
Grid structure of the Global operational NWP forecast model: (time step = 10mins) 91 levels in the vertical (surface to 0.01hPa) T1279 spectral resolution (~16km grid point spacing) 137 levels in the vertical (surface to 0.01hPa)
Evolution of ECMWF forecast skill ~125km ~210km ~63km ~39km ~25km ~16km
Operational 4D-Var Algorithm Flow dependent errors from EDA system VARBC term to correct observation bias Weak constraint term to correct model bias
Overview of data usage SYNOP/SHIP/METAR: Meteorological/aeronautical land surface weather stations (2m-temperature, dew-point temperature, 10m-wind) BUOYS: Moored buoys (TAO, PIRATA) Drifters TEMP/TEMPSHIP/DROPSONDES: Radiosondes ASAPs (commercial ships replacing stationary weather ships) Dropsondes released from aircrafts (NOAA, Met Office, tropical cyclones, experimental field campaigns, e.g., FASTEX, NORPEX) PROFILERS: UHF/VHF Doppler radars (Europe, US, Japan) Aircraft: AIREPS (manual reports from pilots) AMDARs, ACARs, etc. (automated readings) Now within VarBC!
Overview of data usage Level-1 radiances Level-1.5 products Level-2 products SBUV, OMI, GOME2 MLS, SEVIRI, GOES, MTSAT, FY, JASON RA, ENVISAT RA, MERIS, SCIA GRAS, GRACE, CNOFS, COSMIC, TERRASAR-X, ASCAT, OSCAT AMSU-A, ATMS, MHS, MWTS, MWHS, HIRS, IASI, AIRS, CrIS, SEVIRI, MTSAT, GOES, SSMIS, TMI, SMOS, WindSat Research Level-2* products CloudSat, Calipso SST / SNOW / ICE
Overview of data usage Radiances AMSU-A on NOAA-15/18/19, AQUA, Metop-A+B, ATMS on Suomi-NPP (from Sept 2012) AMSU-B/MHS on NOAA-19, Metop-A+B SSMIS on F-17, TMI on TRMM, Windsat on Coriolis HIRS on NOAA-17/19, Metop-A AIRS on AQUA, IASI on Metop-A, CrIS on Suomi-NPP MVIRI on Meteosat-7, SEVIRI on Meteosat-9, GOES-13/15, MTSAT-2 imagers SMOS imager Bending angles COSMIC-1, GRAS on Metop, GRACE-A, Terrasar-X, CNOFS Ozone SBUV on NOAA-17/18, OMI on Aura, AIRS, IASI, HIRS Atmospheric Motion Vectors Meteosat-7/9, GOES-13/15, MTSAT-2, MODIS on Terra/Aqua. FY2 Sea surface parameters Near-surface wind speed from ASCAT on Metop-A, OSCAT on OceanSat Significant wave height from Jason altimeters
Automated Satellite Alert and Monitoring http://www.ecmwf.int/products/forecasts/d/charts/monitoring/satellite/
Automated Satellite Alert and Monitoring http://www.ecmwf.int/products/forecasts/d/charts/monitoring/satellite/
Automated Satellite Alert and Monitoring Out of threshold anomalies trigger alerts on web site and launch emails to key personnel prompting action
New instruments: FY3 and Suomi-NPP MWTS Ch.3 ATMS Ch.9 MWHS Ch.4 CrIS 14µm
1. Hyperspectral IR(McNally/Matricardi/Eresmaa) • New sensors: CrIS • Principal component assimilation • Improved cloud screening • Use of SW and O3 channels
2. Microwave sounders(Bell/Lu/DiTomaso/Eresmaa/Bormann/English) • Characterisation of bandpass drift in existing sensors • Improved microwave surface emissivity • New sensors: ATMS, FY3 • Observation errors
3. Microwave Imagers(Bell/Geer/Baordo/English) • All sky assimilation including AMSU-A channel 4
4. Satellite winds and Geo radiances (Hernandez/Bormann/Salonen/Lupu) • AMV error model and understanding • AMV QC • All sky Geo Radiances • Observing model error growth with Geo radiances
5. GPSRO(Healy/Harnisch) EDA analysis spread for temperature at 100 hPa Tropics N. Hem S. Hem • Tangent point drift • EDA experiments: sensitivity to number of observations • Surface pressure • Contributions to ROM SAF (ROPP)
6. Ozone(Dragani) Ops, 2010 - 2011 Ops, 2011 - 2012 +MIPAS Reference MLS +IR/O3 SBUV(21), 2011 – 2012 No ENVISAT, 2011 – 2012 +SBUV21
7. Radar and lidar(Janiskova/DiMichele/Martins) • Preparing for EarthCARE using CloudSat and Calipso • Testing forward operator and adjoint assimilation code • Validating model clouds and physical parameterisations • Choices of observation error, QC and bias correction
Summary • Data volumes / instruments continue to increase • Automated alert system now fully operational • Early CrIS and ATMS results are encouraging • Loss of ENVISAT was a major event, especially for ocean and ozone analysis • Principal component assimilation has been demonstrated for cloud-free scenes • FY3 characterisation led to very valuable re-analysis of errors in MSU and AMSU-A data record • EDA techniques used to try to estimate sensitivity of system to number of GPSRO observations