浏览全部资源
扫码关注微信
纸质出版日期: 2009 ,
扫 描 看 全 文
[1].Geophysical parameters retrieving algorithm of AMSR[J].遥感学报,2009,13(03):355-362.
Geophysical parameters retrieving algorithm of AMSR[J]. Journal of Remote Sensing, 2009,13(3):355-362.
Space-borne microwave radiometer plays an important role in retrieving geophysical parameters of the global ocean surface.The Advanced Microwave Scanning Radiometer(AMSR-E)
launched on May 4
2002 aboard NASA’s Aqua spacecraft
is a passive microwave sensor that precisely measures microwave emission from the earth surface and atmosphere with multiple frequency bands.AMSR-E can measure a series of oceanic parameters
such as atmospheric water vapor
cloud liquid water
precipitation
sea surface wind
sea surface temperature
sea ice
snow cover
and soil moisture.In this paper
an ocean surface microwave emission/scattering algorithm and an atmospheric radiation algorithm are developed for retrieving geophysical parameters from AMSR-E brightness temperatures.Sea surface wind
sea surface temperature
water vapor
and cloud liquid water of global ocean are retrieved.The results are validated by NCEP reanalysis data
as well as TAO buoy data on the Pacific Ocean.The retrievals are also compared with those from Wentz2000 algorithms for evaluating accuracy of the algo-rithm.It is found that there are excellent correlations between the in situ parameters and those retrieved from either statistical algorithms or physical algorithms.It is also found that there exits system biases in all retrieved parameters which can be well corrected by a linear equation.The results compared with NCEP’s are different from those with TAO’s
which may results from the uncertainties in NCEP data.The final RMS error of sea surface wind
sea surface temperature are 1.21m/s
0.73K
respec-tively
comparing with TAO ’s.
Space-borne microwave radiometer plays an important role in retrieving geophysical parameters of the global ocean surface.The Advanced Microwave Scanning Radiometer(AMSR-E)
launched on May 4
2002 aboard NASA’s Aqua spacecraft
is a passive microwave sensor that precisely measures microwave emission from the earth surface and atmosphere with multiple frequency bands.AMSR-E can measure a series of oceanic parameters
such as atmospheric water vapor
cloud liquid water
precipitation
sea surface wind
sea surface temperature
sea ice
snow cover
and soil moisture.In this paper
an ocean surface microwave emission/scattering algorithm and an atmospheric radiation algorithm are developed for retrieving geophysical parameters from AMSR-E brightness temperatures.Sea surface wind
sea surface temperature
water vapor
and cloud liquid water of global ocean are retrieved.The results are validated by NCEP reanalysis data
as well as TAO buoy data on the Pacific Ocean.The retrievals are also compared with those from Wentz2000 algorithms for evaluating accuracy of the algo-rithm.It is found that there are excellent correlations between the in situ parameters and those retrieved from either statistical algorithms or physical algorithms.It is also found that there exits system biases in all retrieved parameters which can be well corrected by a linear equation.The results compared with NCEP’s are different from those with TAO’s
which may results from the uncertainties in NCEP data.The final RMS error of sea surface wind
sea surface temperature are 1.21m/s
0.73K
respec-tively
comparing with TAO ’s.
相关文章
相关作者
相关机构