Application of SeaWinds scatterometer and TMI-SSM/I rain rates to hurricane analysis and forecasting

被引：10
|
作者：
Atlas, R
Hou, AY
Reale, O
机构：
[1] NASA, Goddard Space Flight Ctr, Atmospheres Lab, Greenbelt, MD 20771 USA
[2] NASA, Goddard Space Flight Ctr, Global Modeling & Assimilat Off, Greenbelt, MD 20771 USA
[3] Univ Maryland, Baltimore, MD 21201 USA
来源：
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING | 2005年 / 59卷 / 04期
关键词：
scatterometer; TMI-SSM/I; hurricane prediction; microwave remote sensing applications;
D O I：
10.1016/j.isprsjprs.2005.02.007
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
Results provided by two different assimilation methodologies involving data from passive and active space-borne microwave instruments are presented. The impact of the precipitation estimates produced by the TRMM Microwave Imager (TMI) and Special Sensor Microwave/Imager (SSM/I) in a previously developed ID variational continuous assimilation algorithm for assimilating tropical rainfall is shown on two hurricane cases. Results on the impact of the SeaWinds scatterometer on the intensity and track forecast of a mid-Atlantic hurricane are also presented. This work is the outcome of a collaborative effort between NASA and NOAA and indicates the substantial improvement in tropical cyclone forecasting that can result from the assimilation of space-based data in global atmospheric models. (c) 2005 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
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页码：233 / 243
页数：11
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