Tianjing | China | 29 April - 3 May
Workshop description
Satellite observations have a major positive impact on the accuracy of numerical weather prediction (NWP). They are used in advanced data assimilation systems, including variational, ensemble and hybrid methods. In order to assimilate satellite observations directly, which is proven to be most effective, a fast and accurate radiative transfer model is essential. Many countries have invested in developments of fast radiative transfer models through their space and NWP programmes. As the capability of these models has improved, the range of satellite data that can be successfully assimilated has increased. For example, the use of observations in areas of cloud and precipitation, which were initially excluded from assimilation, has become very successful.
In 2019, the Chinese Meteorological Administration (CMA), the European Centre for Medium-Range Weather Forecasts (ECMWF) and the Joint Center for Satellite Data Assimilation (JCSDA) jointly held an international workshop in Beijing, China, on radiative transfer models in support of satellite data assimilation.
Workshop goals
The specific goals of this workshop:
- reviewing the current capabilities of fast radiative transfer models
- understanding new requirements on radiative transfer models for satellite data assimilation
- prioritising new developments of superfast computation in atmospheric and surface radiative transfer processes.
New aspects can in particular cover developments for observations sensitive not only to the atmosphere, which is often well represented by existing models, but other Earth system components (e.g. ocean, sea ice, snow, land, atmospheric composition). It will also address, where appropriate, shortcomings in the models that fast models are trained on, such as line-by-line transmittance models.
Presentations
Monday, 29 April
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Global satellite programmes and requirements for radiative transfer models |
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WMO GSICS requirements on radiative transfer |
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Applications of radiative transfer models in NWP data assimilation and re-analysis |
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CMA applications of radiative transfer model in product generation and sensor monitoring |
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Community Radiative Transfer Model (CRTM) for NOAA remote sensing data cal/val and products |
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Tuesday, 30 April
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Overview of fast model approaches and current issues |
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RTTOV software design issues |
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CRTM software design issues |
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ARMS development plan |
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RTTOV CRTM Intercomparisons at NCEP |
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RTTOV performance evaluation |
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Ocean and atmosphere coupling radiative transfer modeling |
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Current issues in radiative transfer scheme for climate models |
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Current issues in vector radiative transfer model |
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Assimilation of Doppler radar radial velocity |
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Principal component radiative transfer model |
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Improved Ice Cloud Modeling Capabilities in Community Radiative Transfer Model |
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Wednesday, 1 May
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Line-by-line modeling at AER: Perspectives and recent spectroscopy studies |
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Issues in aerosol and cloud radiative transfer modeling |
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Evaluation of RTM and models for MW and IR all-sky assimilation |
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Current issues in cloud and precipitation optical modeling: Visible |
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Aerosol polarization radiative transfer simulation |
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Simulating the lidar returns of clouds with a Monte Carlo radiative transfer model |
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Optical and microwave surface model |
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Land surface models for infrared and BRDF |
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Ocean surface dielectric model |
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Land surface MW emissivity model |
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Assimilation of surface sensitive channels in GRAPES |
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