The ECMWF/NWP-SAF Workshop on Bias estimation and correction in data assimilation was held from 8 to 11 November 2005.
Description
The handling of biases in data assimilation is a key element in the effective use of current and future satellite observations. This requires the capability to disentangle systematic errors inherent to the instruments, radiative transfer and NWP models, and also demands a robust design to reduce their adverse effects in data assimilation schemes. This proposed workshop also forms part of the Centre's contribution to the NWP SAF activities.
Programme
Presentations
| Introductory presentations | |
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Bias and data assimilation Dick Dee (GMAO) |
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Introduction to bias estimation and correction for satellite data assimilation Tony McNally (ECMWF) |
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| Sources of systematic error | |
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Description of systematic errors in a modelling and assimilation system Anton Beljaars (ECMWF) |
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Sources of biases in IR RT modelling Roger Saunders (Met Office) |
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Sources of biases in MW RT modelling Peter Bauer (ECMWF) |
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Satellite Instrument Calibration Issues: Geostationary platforms Ken Holmlund (EUMETSAT) |
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Satellite Instrument Calibration issues: experience gained from SSMIS William Bell (Met Office) |
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| Independent validation data /conventional observations | |
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Use of validation sites and field campaigns in support for observational bias estimation and correction Tom Ackerman (Richland, US) |
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Bias correction for conventional observations Leo Haimberger (University of Vienna) |
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Handling biases in surface pressure observations in data assimilation Drasko Vasiljevic (ECMWF) |
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Potential of radio-occultation to identify/correct other satellite observation biases Sean Healy (ECMWF) |
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| Operational implementation of bias correction | |
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Bias correction of satellite data at ECMWF Thomas Auligné (ECMWF) |
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Bias correction of satellite data at NCEP Paul van Delst (NCEP) |
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Experience with bias correction at CMC Louis Garand (CMC) |
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Bias correction of satellite data at Météo-France Elisabeth Gérard (Météo-France) |
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Bias correction of satellite data at the MetOffice Nigel Atkinson (Met-Office) |
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Inclusion of model component of bias estimation in assimilation Yannick Tremolet (ECMWF) |
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| Regional applications | |
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Bias correction issues in limited area models: strategy for HIRLAM Per Dahlgren (SMHI) |
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Bias correction issues in limited area models: strategy for ALADIN Roger Randriamampianina (HMS) |
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| Environmental monitoring/reanalysis | |
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Bias correction for environmental monitoring Environmental monitoring/reanalysis Richard Engelen (ECMWF) |
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Experience and estimation of biases in ECMWF reanalyses Sakari Uppala et al (ECMWF) |
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Satellite bias correction in JRA-25 reanalysis Shinya Kobayashi (JMA) |
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Working groups
Proceedings
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Using validation sites and field campaigns to evaluate observational and model bias T Ackerman |
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Bias correction of satellite data at the Met Office N Atkinson |
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Adaptive bias correction of satellite data at ECMWF T Auligné |
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Sources of biases in microwave radiative transfer modelling P Bauer |
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Biases in the ECMWF model A Beljaars |
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Satellite instrument calibration issues: experience gained from SSMIS W Bell |
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Bias correction issues in limited area models: strategy for HIRLAM P Dahlgren |
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Bias and data assimilation D P Dee |
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Bias correction for environmental monitoring R J Engelen |
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Experience with bias correction at CMC L Garand |
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Bias correction of satellite data at Météo-France É Gérard |
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Bias correction of radiosonde observations L Haimberger |
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Potential for radio-occultation to identify and correct other satellite observation biases S Healy |
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Instrument calibration issues: geostationary platforms K Holmlund |
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Quality monitoring and bias correction of satellite data in JRA-25 S Kobayashi |
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Bias estimation and correction for satellite data assimilation T McNally |
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Bias correction issues in limited area models: strategy for ALADIN R Randriamampianina |
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Sources of biases in infrared radiative transfer models R Saunders |
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Model bias in data assimilation Y Trémolet |
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Experience in estimation of biases in ECMWF reanalyses S Uppala |
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Handling biases in surface pressure (Ps) observations in data assimilation D Vasiljevic |
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Bias correction of satellite data at NCEP P van Delst |
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