ASSIMILATION OF GNSS-R DELAY-DOPPLER MAPS INTO WEATHER MODELS

被引：1

作者：

Huang, Feixiong ^{[1
]}

Garrison, James L. ^{[1
]}

Leidner, S. Mark ^{[2
]}

Annane, Bachir ^{[3
]}

Grieco, Giuseppe ^{[4
]}

Stoffelen, Ad ^{[4
]}

Hoffman, Ross N. ^{[2
]}

机构：

[1] Purdue Univ, W Lafayette, IN 47907 USA

[2] Atmospher & Environm Res, Lexington, MA USA

[3] Cooperat Inst Marine & Atmospher Studies, Miami, FL USA

[4] Royal Netherlands Meteorol Inst, De Bilt, Netherlands

来源：

IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2020年

关键词：

GPS; GNSS-R; DDM; ocean wind; data assimilation; NWP; SCATTERING;

D O I：

10.1109/IGARSS39084.2020.9324128

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Global Navigation Satellite System Reflectometry (GNSS-R) observations from the Cyclone Global Navigation Satellite System (CYGNSS) mission are expected to improve numerical weather prediction (NWP) models. Level 1 GNSS-R observables, delay-Doppler maps (DDMs), contain information that is lost in producing the Level 2 wind speed retrievals at the specular point. DDMs could, therefore, prove to be a better observable for data assimilation. In this study, assimilation of GNSS-R DDMs into both global and regional NWP models is demonstrated. In the global case, DDM assimilation shows improvements on the European Centre for Medium-Range Weather Forecasts (ECMWF) background for one month of data. In the regional case, DDM assimilation shows its impact on the hurricane structure and intensity. Results using a two-dimensional variation analysis method (VAM) are presented. A plan for an Observation System Experiment (OSE) experiment is proposed.

引用

页码：5313 / 5316

页数：4

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