Assessment of CYGNSS Wind Speed Retrievals in Tropical Cyclones

被引:0
|
作者
Ricciardulli, Lucrezia [1 ]
Mears, Carl [1 ]
Manaster, Andrew [1 ]
Meissner, Thomas [1 ]
机构
[1] Remote Sensing Syst, 444 10th St, Santa Rosa, CA 95401 USA
关键词
CYGNSS; ocean surface winds; tropical cyclones; microwave remote sensing; OCEAN SURFACE WINDS; GPS SIGNALS; PERFORMANCE; ALGORITHM; ORBIT; CONSTELLATION; VALIDATION; SYSTEM;
D O I
10.3390/rs13245110
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The NASA CYGNSS satellite constellation measures ocean surface winds using the existing network of the Global Navigation Satellite System (GNSS) and was designed for measurements in tropical cyclones (TCs). Here, we focus on using a consistent methodology to validate multiple CYGNSS wind data records currently available to the public, some focusing on low to moderate wind speeds, others for high winds, a storm-centric product for TC analyses, and a wind dataset from NOAA that applies a track-wise bias correction. Our goal is to document their differences and provide guidance to users. The assessment of CYGNSS winds (2017-2020) is performed here at global scales and for all wind regimes, with particular focus on TCs, using measurements from radiometers that are specifically developed for high winds: SMAP, WindSat, and AMSR2 TC-winds. The CYGNSS high-wind products display significant biases in TCs and very large uncertainties. Similar biases and large uncertainties were found with the storm-centric wind product. On the other hand, the NOAA winds show promising skill in TCs, approaching a level suitable for tropical meteorology studies. At the global level, the NOAA winds are overall unbiased at wind regimes from 0-30 m/s and were selected for a test assimilation into a global wind analysis, CCMP, also presented here.
引用
收藏
页数:29
相关论文
共 50 条
  • [1] QuikSCAT wind retrievals for tropical cyclones
    Yueh, S
    Stiles, B
    Liu, WT
    [J]. OCEANS 2003 MTS/IEEE: CELEBRATING THE PAST...TEAMING TOWARD THE FUTURE, 2003, : 1045 - 1045
  • [2] QuikSCAT wind retrievals for tropical cyclones
    Yueh, SH
    Stiles, B
    Liu, WT
    [J]. IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 1250 - 1252
  • [3] QuikSCAT wind retrievals for tropical cyclones
    Yueh, SH
    Stiles, BW
    Liu, WT
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2003, 41 (11): : 2616 - 2628
  • [4] Comparison of reflected GPS wind speed retrievals with dropsondes in tropical cyclones
    Katzberg, Stephen J.
    Dunion, Jason
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2009, 36
  • [5] Wind speed characteristics in tropical cyclones
    Sparks, PR
    Huang, Z
    [J]. WIND ENGINEERING INTO THE 21ST CENTURY, VOLS 1-3, 1999, : 343 - 350
  • [6] Assessment of CYGNSS Wind Speed Retrieval Uncertainty
    Ruf, Christopher S.
    Gleason, Scott
    McKague, Darren S.
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 12 (01) : 87 - 97
  • [7] Assessment of CYGNSS Coastal Wind Speed Retrieval
    Li, Xiaohui
    Yang, Dongkai
    Yang, Jingsong
    Zheng, Gang
    [J]. 2019 PHOTONICS & ELECTROMAGNETICS RESEARCH SYMPOSIUM - FALL (PIERS - FALL), 2019, : 809 - 812
  • [8] Uncertainty assessment and an improved CYGNSS cyclonic wind speed retrieval model for cyclones over North Indian Ocean
    Megha Maheshwari
    Arun Chakraborty
    Akhilesh Kumar
    S Nirmala
    [J]. Journal of Earth System Science, 132
  • [9] Uncertainty assessment and an improved CYGNSS cyclonic wind speed retrieval model for cyclones over North Indian Ocean
    Maheshwari, Megha
    Chakraborty, Arun
    Kumar, Akhilesh
    Nirmala, S.
    [J]. JOURNAL OF EARTH SYSTEM SCIENCE, 2023, 132 (01)