2019 International Workshop on Radiative Transfer Models for Satellite Data Assimilation

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:

  1. reviewing the current capabilities of fast radiative transfer models
  2. understanding new requirements on radiative transfer models for satellite data assimilation
  3. 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

Global satellite programmes and  requirements for radiative transfer models
(Peng Zhang, CMA)

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WMO GSICS requirements on radiative transfer
(Mitch Goldberg, NOAA)

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Applications of radiative transfer models in NWP data assimilation and re-analysis
(Stephen English, ECMWF)

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CMA applications of radiative transfer model in product generation and sensor monitoring
(Qifeng Lu, CMA)

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Community Radiative Transfer Model (CRTM) for NOAA remote sensing data cal/val and products
(Quanhua Liu, NOAA)

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Tuesday, 30 April

Overview of fast model approaches and current issues
(Marco Matricardi, ECMWF)

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RTTOV software design issues
(Roger Saunders, Met Office)

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CRTM software design issues
(Ben Johnson, JCSDA)

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ARMS development plan
(Jun Yang, CAMS/LaSW)

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RTTOV CRTM Intercomparisons at NCEP
(Andrew Collard, Emily Liu, NOAA)

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RTTOV performance evaluation
(Gang Ma, CMA)

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Ocean and atmosphere coupling radiative transfer modeling
(Knut Stamnes, Steven Inst. Tech.)

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Current issues in radiative transfer scheme for climate models
(Hua Zhang, CMA)

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Current issues in vector radiative transfer model
(Bingqiang Sun, Fudan University)

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Assimilation of Doppler radar radial velocity
(Xudong Liang, CAMS/LasW)

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Principal component radiative transfer model
(Chao Liu, NUIST)

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Improved Ice Cloud Modeling Capabilities in Community Radiative Transfer Model
(Biqing Yi, Sun Yat-sen University)

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Wednesday, 1 May

Line-by-line modeling at AER: Perspectives and recent spectroscopy studies
(Eli J. Mlawer, AER)

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Issues in aerosol and cloud radiative transfer modeling
(Lei Bi, Zhejiang University)

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Evaluation of RTM and models for MW and IR all-sky assimilation
(Yoshifumi Ota, JMA)

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Current issues in cloud and precipitation optical modeling: Visible
(Leonhard Scheck, LMU)

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Aerosol polarization radiative transfer simulation
(Zhenqian Li, CAS)

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Simulating the lidar returns of clouds with a Monte Carlo radiative transfer model
(Chen Zhou, Nanjing University)

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Optical and microwave surface model
(Jiancheng Shi, CAS)

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Land surface models for infrared and BRDF
(Ming Chen, UMD)

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Ocean surface dielectric model
(Heather Lawrence, ECMWF)

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Land surface MW emissivity model
(Fuzhong Weng, CAMS/LaSW)

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Assimilation of surface sensitive channels in GRAPES
(Wei Han, CNWC)

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Further information

JCSDA website

Agenda

Contact