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首页> 外文期刊>Journal of earth system science >Atmospheric correction for sea surface temperature retrieval from single thermal channel radiometer data onboard Kalpana satellite
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Atmospheric correction for sea surface temperature retrieval from single thermal channel radiometer data onboard Kalpana satellite

机译:从卡尔帕纳卫星上的单个热通道辐射计数据中检索海表温度的大气校正

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摘要

An atmospheric correction method has been applied on sea surface temperature (SST) retrieval algorithm using Very High Resolution Radiometer (VHRR) single window channel radiance data onboard Kalpana satellite (K-SAT). The technique makes use of concurrent water vapour fields available from Microwave Imager onboard Tropical Rainfall Measuring Mission (TRMM/TMI) satellite. Total water vapour content and satellite zenith angle dependent SST retrieval algorithm has been developed using Radiative Transfer Model [MODTRAN ver3.0] simulations for Kalpana 10.5a€“12.5 e???m thermal window channel. Retrieval of Kalpana SST (K-SST) has been carried out for every half-hourly acquisition of Kalpana data for the year 2008 to cover whole annual cycle of SST over Indian Ocean (IO). Validation of the retrieved corrected SST has been carried out using near-simultaneous observations of ship and buoys datasets covering Arabian Sea, Bay of Bengal and IO regions. A significant improvement in Root Mean Square Deviation (RMSD) of K-SST with respect to buoy (1.50a€“1.02 K) and to ship datasets (1.41a€“1.19 K) is seen with the use of near real-time water vapour fields of TMI. Furthermore, comparison of the retrieved SST has also been carried out using near simultaneous observations of TRMM/TMI SST over IO regions. The analysis shows that K-SST has overall cold bias of 1.17 K and an RMSD of 1.09 K after bias correction.
机译:在卡尔帕纳卫星(K-SAT)上使用甚高分辨率辐射计(VHRR)单窗口通道辐射数据对大气表面温度(SST)检索算法应用了一种大气校正方法。该技术利用了热带雨量测量任务(TRMM / TMI)卫星上的微波成像仪提供的并发水汽场。总水蒸气含量和与卫星天顶角有关的SST检索算法已通过使用辐射传递模型[MODTRAN ver3.0]模拟卡尔帕纳10.5a“ 12.5 e?m热窗口通道”而开发。每过半小时采集一次2008年的Kalpana数据,就会对Kalpana SST(K-SST)进行检索,以涵盖印度洋(IO)上SST的整个年度周期。已使用覆盖阿拉伯海,孟加拉湾和IO地区的船舶和浮标数据集的近乎同时的观测值对取回的校正后的SST进行了验证。通过使用近实时水,可以看到K-SST的相对于浮标(1.50a“ 1.02 K”)和船舶数据集(1.41a“ 1.19 K”)的均方根偏差(RMSD)有了显着改善。 TMI的蒸气场。此外,还使用对IO区域的TRMM / TMI SST的近乎同时观察,对检索到的SST进行了比较。分析表明,经过偏置校正后,K-SST的总体冷偏置为1.17 K,RMSD为1.09K。

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