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The Impact of Radio-Frequency Interference on WindSat Ocean Surface Observations

机译:射频干扰对WindSat海面观测的影响

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摘要

To study the effects of radio-frequency interference (RFI) on remote sensing data, we examined five years of WindSat ocean observations from regions affected by reflected X-band emissions from geostationary communication satellites. We compared measured brightness temperatures to modeled brightness temperatures obtained using mitigated retrievals as input to the WindSat parameterized radiative transfer model, demonstrating a considerable contribution to the radiometric measurements from interference. Comparisons of potentially contaminated retrievals of sea surface temperature (SST), wind speed, and wind direction with surface reanalyses confirmed that the presence of RFI can bias retrievals while also increasing retrieval uncertainty. Mitigation removed most of the biases. The quality of mitigated SST and wind speed retrievals was comparable to uncontaminated retrievals; however, the performance of first-rank wind directions was noticeably degraded. Recommendations are given on the use of contaminated and mitigated data, from radiance assimilation to climate studies.
机译:为了研究射频干扰(RFI)对遥感数据的影响,我们检查了对地静止通信卫星X波段反射波影响区域在WindSat海洋中进行的五年观测。我们将测得的亮度温度与使用简化检索作为WindSat参数化辐射传输模型的输入获得的建模亮度温度进行了比较,证明了干扰对辐射测量的贡献很大。通过对海面温度(SST),风速和风向的潜在污染取回与表面再分析的比较,证实了RFI的存在会偏向取回,同时也增加取回的不确定性。缓解措施消除了大多数偏见。减轻的海温和风速取回的质量与未污染的取回相当;但是,一级风向的性能明显下降。从辐射吸收到气候研究,就污染和减毒数据的使用提出了建议。

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