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Observing Systems ERA-40 Experience Sakari Uppala & ERA Team. METEOSAT Reprocessed. 1982. 1988. 1979. TOMS/ SBUV. CONVENTIONAL SURFACE, UPPERAIR AND AIRCRAFT DATA. NCAR/ NCEP, ECMWF, JMA, US Navy, Twerle, Gate, FGGE, TOGA, TAO, COADS, …. 1973. 1979. 1987. VTPR. TOVS: HIRS/ MSU/ SSU.
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Observing Systems ERA-40 Experience Sakari Uppala & ERA Team
METEOSAT Reprocessed 1982 1988 1979 TOMS/ SBUV CONVENTIONAL SURFACE, UPPERAIR AND AIRCRAFT DATA NCAR/ NCEP, ECMWF, JMA, US Navy, Twerle, Gate, FGGE, TOGA, TAO, COADS, … 1973 1979 1987 VTPR TOVS: HIRS/ MSU/ SSU SSM/I 1991 ERS-1 1995 CMW ERS-2 1998 ATOVS OBSERVING SYSTEMS IN ERA-40 2001 1957
Combining the different conventional data sources CONVENTIONAL SURFACE, UPPERAIR AND AIRCRAFT DATA CONVENTIONAL SURFACE, UPPERAIR AND AIRCRAFT DATA NCAR/ NCEP, ECMWF, JMA, US Navy, Twerle, Gate, FGGE, TOGA, TAO, COADS, … NCAR/ NCEP, ECMWF, JMA, US Navy, Twerle, Gate, FGGE, TOGA, TAO, COADS, …
Illustration The number of available TEMP/ land data per year from different data sources at 00UTC
Illustration The number of available TEMP/ land data per year from different data sources at 00UTC
Radiosonde temperature bias, OB-FG (4 solar elevation angle intervals and the mean) all year 1994, South West Canada Uncorrected Corrected
ERA-40: SYNOP-Ps 00 UTC Northern hemisphere RMS (hPa) OB-FG OB-AN 15 days MA 2 hPa 2 hPa Number of used observations per day ERA-40: SYNOP-Ps 00 UTC Southern hemisphere RMS (hPa) OB-FG OB-AN 15 days MA Number of used observations per day 1000 1000
Problem with elimination of duplicates ERA-40: TEMP-T 500 hPa 00 UTC Southern hemisphere RMS (K) OB-FG OB-AN 15 days MA 1K Number of used observations per day ERA-40: TEMP-T 500 hPa 00 UTC Northern hemisphere RMS (K) OB-FG OB-AN 15 days MA 1K Number of used observations per day
ERA-40: TEMP-T 50 hPa 00 UTC Northern hemisphere RMS (K) OB-FG OB-AN 15 days MA 2K Number of used observations per day ERA-40: TEMP-T 50 hPa 00 UTC Southern hemisphere RMS (K) OB-FG OB-AN 15 days MA 2K Number of used observations per day
Humidity Conversion Problem Datasource: MIT ERA-40: TEMP-Q 850 hPa 00 UTC Tropics RMS (g/kg) OB-FG OB-AN 15 days MA Number of used observations per day
1966 1958 1958 1976 1986 Snow data coverage (sdepth>0)
Conventional Observations • Identify and fill the missing data in priority order • Improve the merging/ screening process
Satellite Radiance Data • TOVS HIRS/ MSU/ SSU • ATOVS AMSU-A, AMSU-B • VTPR • SSM/ I • Datasets relatively complete
14 NOAA Satellites VTPR TOVS / ATOVS
(John Bates, Darren Jackson) MSU Channel 4 MSU Channel 3 1998 1978 1978 1998 NASA Langley Research Center Radiation and Aerosols Branch
NOAA-14 SSU NOAA-11 SSU
VTPR Active Mean & STD of 30 hPa Geopotential Increment, November - December 1972 Average 30 hPa Geopotential, November - December 1972
NOAA-14 HIRS/MSU/SSU CH-2/ SSU BL NOAA-15 AMSU-A, HIRS HIRS BL CH-14/ AMSU-A BL NOAA-11 HIRS/MSU/SSU 1 SSU Instrument ERA-40: TEMP U-Wind 50 hPa 00 UTC Southern Hemisphere RMS (m/s) OB-FG OB-AN 15 days MA Number of used observations per day ERA-40: TEMP U-Wind 50 hPa 00 UTC Northern Hemisphere RMS (m/s) OB-FG OB-AN 15 days MA Number of used observations per day
ERA-40: SSMI/TCWV 00 UTC Tropics RMS (kg/m**2) OB-FG OB-AN 15 days MA 6 4 2 Number of used observations per day 500
Aspects relating the use of radiances • Problem periods per channel into “blacklist” • Bias tuning necessary • Overlapping periods important • Cloud detection • Contamination by aerosols
Cloud Motion Winds • Reprocessing improves the quality of analyses
Meteosat Reprocessed winds ERA-40: SATOB U- Wind 850 00 UTC Tropics RMS (m/s) OB-FG OB-AN 15 days MA Number of used observations per day
Differences in 10m wind speed Contour interval 0.5ms-1 Yellow/red indicates ERA-40 winds stronger than ERA-15 winds
Research based on reanalyses FEEDBACK INFORMATION: Observed values OB – FG OB – AN Flags Understanding & Improving Observation datasets: Satellite Conventional Data Assimilation System Development Improved use of Observing Systems in the next reanalysis
Research based on reanalyses Need to Create & Improve: User Interfaces Modern tools to visualize Understanding & Improving Observation datasets: Satellite Conventional Data Assimilation System Development Improved use of Observing Systems in the next reanalysis
Filling the possible gaps in time and space with additional data Insert the new data into Data Base Merge of observations and observed values: in the Screening step before minimization Use the merged observations in reanalysis(n+1) Investigate the Feedback information (Ob-Fg, Ob-An) : Statistics and time series per area/ station Statistics of accepted/ rejected data per data source Detailed inventories of the merged dataset and data sources Check/ Modify Station height and position information