All‐sky satellite data assimilation at operational weather forecasting centres-Reference-Cited by-同舟云学术

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All‐sky satellite data assimilation at operational weather forecasting centres

Published:2018-04 Issue:713 Volume:144 Page:1191-1217
ISSN:0035-9009
Container-title:Quarterly Journal of the Royal Meteorological Society
language:en
Short-container-title:Q.J.R. Meteorol. Soc.

Author:

Geer Alan J.¹,Lonitz Katrin¹,Weston Peter¹,Kazumori Masahiro²^ORCID,Okamoto Kozo²^ORCID,Zhu Yanqiu³,Liu Emily Huichun⁴,Collard Andrew³,Bell William⁵^ORCID,Migliorini Stefano⁵^ORCID,Chambon Philippe⁶,Fourrié Nadia⁶,Kim Min‐Jeong⁷,Köpken‐Watts Christina⁸,Schraff Christoph⁸

Affiliation:

1. ECMWF, Reading, UK

2. Japan Meteorological Agency, Tokyo, Japan

3. I.M. Systems Group, National Centers for Environmental Prediction, College Park, USA

4. Systems Research Group, National Centers for Environmental Prediction, College Park, USA

5. Met Office, Exeter, UK

6. CNRM UMR 3589, Météo‐France/CNRS, Toulouse, France

7. Global Modelling and Assimilation Office, GSFC, NASA, Greenbelt, USA

8. Deutscher Wetterdienst, Offenbach, Germany

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.3202

Reference158 articles.

1. Wind extraction potential from ensemble Kalman filter assimilation of stratospheric ozone using a global shallow water model

2. Radiances simulated in the presence of clouds by use of a fast radiative transfer model and a multiple-scattering scheme

3. Use of cloud-cleared radiances in three/four-dimensional variational data assimilation

4. Operational Convective-Scale Numerical Weather Prediction with the COSMO Model: Description and Sensitivities

5. Assimilation of SSMIS humidity‐sounding channels in all‐sky conditions over land using a dynamic emissivity retrieval

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