Rain effects on SeaWinds data

被引:0
|
作者
Hilburn, K [1 ]
Wentz, F [1 ]
Mears, C [1 ]
机构
[1] Remote Sensing Syst, Santa Rosa, CA 95401 USA
关键词
D O I
暂无
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
One year of SeaWinds sigma(0) data are used with SSM/I and TMI rain rates collocated within 5 minutes and tri-linearly interpolated ECMWF analyses to investigate the effects of rain on SeaWinds data. By parameterizing attenuation and volumetric backscattering in terms of rain rate, the modification of the surface radar cross-section by rain can be found. Uncertainty exists in the rain modification of the surface radar cross-section for different rain rate-wind speed regimes, but its magnitude and azimuthal behavior are sufficiently important to require attention for accurate rain contamination correction.
引用
收藏
页码:2971 / 2973
页数:3
相关论文
共 50 条
  • [41] The development of a processing environment for time-series analysis of SeaWinds scatterometer data
    Kidd, RA
    Trommler, M
    Wagner, W
    [J]. IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 4110 - 4112
  • [42] Ekman pumping calculation from data of the SeaWindS wind dispersometer on the QuikSCAT satellite
    Coca, J.
    Ramos, A. G.
    Redondo, A.
    [J]. REVISTA DE TELEDETECCION, 2006, (25): : 40 - 44
  • [43] Evaluation of wind vectors observed by QuikSCAT/SeaWinds using ocean buoy data
    Ebuchi, N
    [J]. IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS, 2001, : 1082 - 1085
  • [44] Validation of Two-Dimensional Variational Ambiguity Removal on SeaWinds Scatterometer Data
    Vogelzang, Jur
    Stoffelen, Ad
    Verhoef, Anton
    De Vries, John
    [J]. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2009, 26 (07) : 1229 - 1245
  • [45] SeaWinds validation with research vessels
    Bourassa, MA
    Legler, DM
    O'Brien, JJ
    Smith, SR
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2003, 108 (C2)
  • [46] A General Approach for Simulating Rain Effects on Sensor Data in Real and Virtual Environments
    Hasirlioglu, Sinan
    Riener, Andreas
    [J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2020, 5 (03): : 426 - 438
  • [47] Long-term data show lingering effects from acid rain
    Krajick, K
    [J]. SCIENCE, 2001, 292 (5515) : 195 - 196
  • [48] Optimization of Cox and Munk sun-glint model using ADEOS/II GLI data and SeaWinds data
    Li, Liping
    Fukushima, Hajime
    Suzuki, Kazunori
    Suzuki, Naoya
    [J]. COASTAL OCEAN REMOTE SENSING, 2007, 6680
  • [49] SeaWinds quality assurance and applications
    Draper, DW
    Long, DG
    [J]. EARTH OBSERVING SYSTEMS VI, 2002, 4483 : 93 - 104
  • [50] Analysis of Data-Derived SeaWinds Normalized Radar Cross-Section Noise
    Grieco, Giuseppe
    Stoffelen, Ad
    Verhoef, Anton
    Vogelzang, Jur
    Portabella, Marcos
    [J]. REMOTE SENSING, 2022, 14 (21)