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A coastally improved global dataset of wet tropospheric corrections for satellite altimetry

机译:卫星Altimetry的潮湿对流层矫正的途径沿海改进的全球数据集

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The accuracy of satellite radar altimetry (RA) is known to deteriorate towards the coastal regions due to several reasons, amongst which the improper account for the wet path delay (WPD) can be pointed out. The most accurate WPDs for RA are derived from the on-board microwave radiometer (MWR) radiance measurements, acquired simultaneously as the altimeter ranges. In the coastal zone, however, the signal coming from the surrounding land contaminates these measurements and the water vapour retrieval from the MWR fails. As meteorological models do not handle coastal atmospheric variability correctly yet, the altimeter measurements are rejected whenever MWR observations are absent or invalid. The need to solve this RA issue in the coastal zone, simultaneously responding to the growing demand for data in these regions, motivated the development of the GNSS (Global Navigation Satellite System) derived Path Delay (GPD) algorithm. GPD combines WPD from several sources through objective analysis (OA) to estimate the WPD or the corresponding RA correction accounting for this effect, the wet tropospheric correction (WTC), for all along-track altimeter points for which this correction has been set as invalid or is not defined. The current GPD version (GPD Plus, GPD + ) uses as data sources WPD from coastal and island GNSS stations, from satellites carrying microwave radiometers, and from valid on-board MWR measurements. GPD + has been tuned to be applied to all, past and operational, RA missions, with or without an on-board MWR. The long-term stability of the WTC dataset is ensured by its inter-calibration with respect to the Special Sensor Microwave Imager (SSM/I) and SSM/I Sounder (SSMIS). The dataset is available for the TOPEX/Poseidon (T/P); Jason-1 and Jason-2 (NASA and CNES); Jason-3 (NASA and EUMETSAT); ERS-1, ERS-2, Envisat and CryoSat-2 (ESA); SARAL/AltiKa (ISRO and CNES); and GFO (US Navy) RA missions. The GPD + WTC for Sentinel-3 (ESA and EUMETSAT) shall be released soon. The present paper describes the GPD + database and its assessment through statistical analyses of sea level anomaly (SLA) datasets, calculated with GPD + , the ECMWF Reanalysis Interim (ERA-Interim) model or MWR-derived WTCs. Global results, as well as results for three regions (the North American and European coasts and the Indonesia region), are presented for ESA's recent Envisat Full Mission Reprocessing (FMR) V3.0. Global results show that the GPD + WTC leads to a reduction in the SLA variance of 1–2?cm 2 in the coastal zones, when used instead of the ERA WTC, which is one of the WTCs available in these products and can be adopted when the MWR-derived WTC is absent or invalid. The improvement of the GPD + WTC over the ERA WTC is maximal over the tropical oceans, particularly in the Pacific Ocean, showing that the model-derived WTC is not able to capture the full variability in the WPD field yet. The statistical assessment of GPD + for the North American coast shows a reduction in SLA variance, when compared to the use of the ERA-derived WTC, of 1.2?cm 2 , on average, for the whole range of distances from the coast considered (0–200?km). Similar results are obtained for the European coasts. For the Indonesia region, the use of the GPD + WTC instead of that from ERA leads to an improvement, on average, on the order of 2.2?cm 2 for distances from the coast of up to 100?km. Similar results have been obtained for the remaining missions, particularly for those from ESA. Additionally, GPD + recovers the WTC for a significant number of along-track altimeter points with missing or invalid MWR-derived WTCs, due to land, rain and ice contamination and instrument malfunctioning, which otherwise would be rejected. Consequently, the GPD + database has been chosen as the reference WTC in the Sea Level Climate Change Initiative (CCI) products; GPD + has also been adopted as the reference in CryoSat-2 Level-2 Geophysical Ocean Products (GOP). Strategies to further improve the methodology, therefore enhancing the quality of the database, are also discussed. The GPD + dataset is archived on the home page of the Satellite Altimetry Group, University of Porto, publicly available at the repository https://doi.org/10.23831/FCUP_UPORTO_GPDPlus_v1.0 (Fernandes et al., 2019).
机译:已知卫星雷达Altimetry(RA)的准确性由于若干原因而朝着沿海地区劣化,其中可以指出湿路延迟(WPD)的不当占算法。 RA最精确的WPDS来自板载微波辐射计(MWR)光线测量,同时作为高度计范围获取。然而,在沿海地区,来自周围地区的信号污染这些测量值,并且来自MWR的水蒸气失效。由于气象模型不正确地处理沿海大气变异性,只要MWR观察或无效时,高度计测量都被拒绝。需要解决沿海地区的这个RA问题,同时响应这些地区的数据不断增长的需求,有动机的发展(全球导航卫星系统)导出的路径延迟(GPD)算法。 GPD通过客观分析(OA)将WPD与几种来源相结合,以估计这种效果的WPD或相应的RA校正核算,湿的对流层校正(WTC),所有沿着该校正所示为无效的轨道高度计点或者未定义。目前的GPD版本(GPD Plus,GPD +)用作来自沿海和岛GNSS站的数据源WPD,来自携带微波辐射仪的卫星,以及有效的车载MWR测量。 GPD +已被调整为所有,过去和运营,RA任务,有或没有车载MWR。通过其校准相对于特殊传感器微波成像器(SSM / I)和SSM / I发声器(SSMIS)来确保WTC数据集的长期稳定性。 DataSet可用于Topex / Poseidon(T / P); Jason-1和Jason-2(美国宇航局和CNES);杰森-3(美国宇航局和埃姆塞特邦); ERS-1,ERS-2,Envisat和Cryosat-2(ESA); Saral / Altika(Isro和CNES);和GFO(美国海军)ra任务。 Sentinel-3(ESA和Eumetsat)的GPD + WTC即将发布。本文介绍了通过GPD +计算的海平面异常(SLA)数据集的GPD +数据库及其评估,ECMWF再分析临时(ERA-INSIM)模型或MWR衍生的WTCs计算。全球结果以及三个地区的结果(北美和欧洲和印度尼西亚地区),为ESA最近的Envisat全部任务再处理(FMR)V3.0提供。全球结果表明,GPD + WTC导致沿海地区中的1-2?CM 2的SLA方差减少,而不是ERA WTC,这是这些产品中可用的WTCS之一,可以采用当MWR衍生的WTC不存在或无效时。 GPD + WTC在ERA WTC上的改善是最大的热带海洋,特别是在太平洋中,表明模型衍生的WTC无法捕获WPD领域的全部变异性。北美海岸GPD +的统计评估表明,与使用时代衍生的WTC相比,平均距离距离所考虑的海岸的整个距离范围( 0-200 km)。为欧洲海岸获得了类似的结果。对于印度尼西亚地区,使用GPD + WTC而不是从时代的使用导致平均进一步,平均约为2.2?CM 2的距离,从海岸到达100 km的距离。剩余的任务已经获得了类似的结果,特别是对于来自ESA的任务。此外,GPD +由于陆地,雨和冰污染和仪器发生故障,返回WTC的轨道沿轨道轨道的轨道高度计点,缺失或无效的MWR衍生的WTC。否则将被拒绝。因此,已选择GPD +数据库作为海平面气候变化倡议(CCI)产品中的参考WTC; GPD +也被用作Cryosat-2级地球物理海洋产品(GOP)的参考。还讨论了进一步改善方法的策略,从而提高了数据库的质量。 GPD + DataSet归档于波尔图大学卫星Altimetry集团的主页上,公开可用于存储库https://doi.org/10.23831/fcup_uporto_gpdplus_v1.0(Fernandes等,2019)。

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