双质量曲线和偏差校正的联合作用对卫星降水综合估计产品精度的最大化

IF 3.1 Q2 WATER RESOURCES
N. Sriwongsitanon, Chanphit Kaprom, Kamonpat Tantisuvanichkul, Nattakorn Prasertthonggorn, Watchara Suiadee, W. Bastiaanssen, J. A. Williams
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引用次数: 0

摘要

精确估计降雨的空间和时间特征对于产生适当管理水资源所需的可靠集水区反应至关重要。然而,在世界上大多数地区,测量的雨量站分布稀疏,不能适当地捕捉降雨的空间变异性。此外,测量的降雨数据有时可能很短或需要验证。在此之后,我们提出了一个程序,通过使用泰国各地的1779个测量雨量站对五个基于卫星的降水估计(SPE)产品进行验证,提高了测量降雨数据的可信度和降雨估计的准确性。考虑的五种SPE产品包括cmorphl - bld;TRMM-3B42;啾啾;CHIRPS-PL;和TRMM-3B42RT。在验证之前,使用双质量曲线(DMC)分析验证测量降雨量数据集,以消除可疑和不一致的读数。这导致感兴趣的站点与其周围环境之间的纳什-萨克利夫效率(NSE)提高了13.9% (0.758-0.863),SPE产品平均提高了11.8%,而有问题的数据集仅下降了7%。三种不同的偏差校正(BC)程序应用于基于量规的网格化降雨(GGR)校正SPE产品。一旦DMC和BC程序一起实施,发现SPE产品的性能显着提高。最后,对三个表现最好的偏差校正SPE产品(bias- cmorpho - bld、Bias-TRMM-3B42和Bias-CHIRPS)进行集合加权平均,进一步提高了校准和验证周期内的NSE,分别达到0.907和0.880。所提出的基于dmc的校正SPE和多个SPE产品的加权程序可以方便地以足够的精度获得偏远地区的日降雨量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Combined Power of Double Mass Curves and Bias Correction for the Maximisation of the Accuracy of an Ensemble Satellite-Based Precipitation Estimate Product
Precise estimation of the spatial and temporal characteristics of rainfall is essential for producing the reliable catchment response needed for proper management of water resources. However, in most parts of the world, gauged rainfall stations are sparsely distributed and fail to properly capture the spatial variability of rainfall. Furthermore, the gauged rainfall data can sometimes be of short length or require validation. Following this, we present a procedure that enhances the trustworthiness of gauged rainfall data and the accuracy of the rainfall estimations of five satellite-based precipitation estimate (SPE) products by validating them using the 1779 gauged rainfall stations across Thailand. The five SPE products considered include CMORPH-BLD; TRMM-3B42; CHIRPS; CHIRPS-PL; and TRMM-3B42RT. Prior to validation, the gauged rainfall dataset was verified using double mass curve (DMC) analysis to eliminate questionable and inconsistent readings. This led to the improvement of the Nash–Sutcliffe Efficiency (NSE) between the station of interest and its surroundings by 13.9% (0.758–0.863), together with an average 11.8% increase with SPE products, whilst dropping only 7% of questionable dataset. Three different bias correction (BC) procedures were applied to correct SPE products using gauge-based gridded rainfall (GGR). Once DMC and BC procedures were implemented together, the performance of the SPE products was found to increase significantly. Finally, the application of the ensemble weighted average of the three best-performing bias-corrected SPE products (Bias-CMORPH-BLD, Bias-TRMM-3B42, and Bias-CHIRPS) further enhanced the NSE to 0.907 and 0.880 in calibration and validation time periods, respectively. The proposed DMC-based correction SPE and the weighting procedure of multiple SPE products allows for an easy means of obtaining daily rainfall in remote locations with sufficient accuracy.
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来源期刊
Hydrology
Hydrology Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
4.90
自引率
21.90%
发文量
192
审稿时长
6 weeks
期刊介绍: Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences, including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology, hydrogeology and hydrogeophysics. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, ecohydrology, geomorphology, soil science, instrumentation and remote sensing, data and information sciences, civil and environmental engineering are within scope. Social science perspectives on hydrological problems such as resource and ecological economics, sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site. Studies focused on urban hydrological issues are included.
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