NSSC OpenIR
Applications of GNSS-RO to Numerical Weather Prediction and Tropical Cyclone Forecast
Alternative TitleWOS:000592805500001
Bai, Weihua1,2,3,4,5; Deng, Nan1,3,4,5; Sun, Yueqiang1,2,3,4,5; Du, Qifei1,3,4,5; Xia, Junming1,3,4,5; Wang, Xianyi1,3,4,5; Meng, Xiangguang1,3,4,5; Zhao, Danyang1,3,4,5; Liu, Congliang1,3,4,5; Tan, Guangyuan1,3,4,5; Liu, Ziyan1,3,4,5; Liu, Xiaoxu1,3,4,5
Source PublicationATMOSPHERE
2020
Volume11Issue:11Pages:1204
DOI10.3390/atmos11111204
Language英语
Keywordradio occultation numerical weather prediction tropical cyclone forecast GPS RADIO OCCULTATION OBSERVATION OPERATOR GENESIS FORECASTS EARTHS ATMOSPHERE BENDING ANGLE ASSIMILATION IMPACT SYSTEM CHAMP CONSTELLATION
AbstractThe global navigation satellite system (GNSS) radio occultation (RO) technique is an atmospheric sounding technique that originated in the 1990s. The data provided by this approach are playing a consistently significant role in atmospheric research and related applications. This paper mainly summarizes the applications of RO to numerical weather prediction (NWP) generally and specifically for tropical cyclone (TC) forecast and outlines the prospects of the RO technique. With advantages such as high precision and accuracy, high vertical resolution, full-time and all-weather, and global coverage, RO data have made a remarkable contribution to NWP and TC forecasts. While accounting for only 7% of the total observations in European Centre for Medium-Range Weather Forecasts' (ECMWF's) assimilation system, RO has the fourth-largest impact on NWP. The greater the amount of RO data, the better the forecast of NWP. In cases of TC forecasts, assimilating RO data from heights below 6 km and from the upper troposphere and lower stratosphere (UTLS) region contributes to the forecasting accuracy of the track and intensity of TCs in different stages. A statistical analysis showed that assimilating RO data can help restore the critical characteristics of TCs, such as the location and intensity of the eye, eyewall, and rain bands. Moreover, a non-local excess phase assimilation operator can be employed to optimize the assimilation results. With denser RO profiles expected in the future, the accuracy of TC forecast can be further improved. Finally, future trends in RO are discussed, including advanced features, such as polarimetric RO, and RO strategies to increase the number of soundings, such as the use of a cube satellite constellation.
Indexed BySCI
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Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/7512
Collection中国科学院国家空间科学中心
Affiliation1.Chinese Acad Sci NSSC CAS, Natl Space Sci Ctr, Beijing 100190, Peoples R China
2.Beijing Key Lab Space Environm Explorat, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100049, Peoples R China
4.NSSC CAS, Joint Lab Occultat Atmosphere & Climate JLOAC, Beijing 100190, Peoples R China
5.Karl Franzens Univ Graz, Beijing 100190, Peoples R China
6.Chinese Acad Sci, Key Lab Sci & Technol Space Environm Situat Aware, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Bai, Weihua,Deng, Nan,Sun, Yueqiang,et al. Applications of GNSS-RO to Numerical Weather Prediction and Tropical Cyclone Forecast[J]. ATMOSPHERE,2020,11(11):1204.
APA Bai, Weihua.,Deng, Nan.,Sun, Yueqiang.,Du, Qifei.,Xia, Junming.,...&Liu, Xiaoxu.(2020).Applications of GNSS-RO to Numerical Weather Prediction and Tropical Cyclone Forecast.ATMOSPHERE,11(11),1204.
MLA Bai, Weihua,et al."Applications of GNSS-RO to Numerical Weather Prediction and Tropical Cyclone Forecast".ATMOSPHERE 11.11(2020):1204.
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