改进了气象站数据稀少地区的降雨量和温度卫星数据集:秘鲁安卡什的案例研究

IF 0.4 Q4 REMOTE SENSING
Eduardo E. Villavicencio, Katy D. Medina, E. Loarte, Hairo A. León
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引用次数: 0

摘要

降雨和温度变量在理解全球和区域尺度的气象学方面起着重要作用。然而,由于气象站的密度往往很低,在地形复杂的地区很难获得气象资料。在本研究中,我们着重于改进这些地区现有的卫星产品,使用热带降雨测量任务(TRMM)和全球降水测量(GPM)的降雨数据和现代研究与应用回顾性分析版本2 (MERRA-2)的气温数据。我们的目标是提出一个模型,提高卫星数据与2012-2017年逐月观测数据的准确性和相关性。利用1区Santa (R1Sn)、2区Marañón (R2Mr)、3区Pativilca (R3Pt)和4区Pacific (R4Pc) 4个区域对降雨卫星数据进行了改进。对于温度,使用基于温度和海拔数据之间斜率的模型。此外,根据均方误差比、PBIAS、Nash-Sutcliffe效率(NSE)和相关系数对TRMM、GPM和MERRA-2数据的可靠性进行分析。在2月和8月,模型得到的最终产品在0.72 ~ 0.95范围内是可靠的,而在R1Sn、R2Mr和R3Pt地区,模型得到的改进后的降雨产品是可以接受的(NSE≥0.6)。然而,在R4Pc中是不可接受的(NSE<0.4),这反映了加性模型不适用于降雨量较小的地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved rainfall and temperature satellite dataset in areas with scarce weather stations data: case study in Ancash, Peru
Rainfall and temperature variables play an important role in understanding meteorology at global and regional scales. However, the availability of meteorological information in areas of complex topography is difficult, as the density of weather stations is often very low. In this study, we focused on improving existing satellite products for these areas, using Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Measurement (GPM) data for rainfall and Modern Era Retrospective Analysis for Research and Applications Version 2 (MERRA-2) data for air temperature. Our objective was to propose a model that improves the accuracy and correlation of satellite data with observed data on a monthly scale during 2012-2017. The improvement of rainfall satellite data was performed using 4 regions: region 1 Santa (R1Sn), region 2 Marañón (R2Mr), region 3 Pativilca (R3Pt) and region 4 Pacific (R4Pc). For temperature, a model based on the use of the slope obtained between temperature and altitude data was used. In addition, the reliability of the TRMM, GPM and MERRA-2 data was analyzed based on the ratio of the mean square error, PBIAS, Nash-Sutcliffe efficiency (NSE) and correlation coefficient. The final products obtained from the model for temperature are reliable with R2 ranging from 0.72 to 0.95 for the months of February and August respectively, while the improved rainfall products obtained are shown to be acceptable (NSE≥0.6) for the regions R1Sn, R2Mr and R3Pt. However, in R4Pc it is unacceptable (NSE<0.4), reflecting that the additive model is not suitable in regions with low rainfall values.
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来源期刊
Revista de Teledeteccion
Revista de Teledeteccion REMOTE SENSING-
CiteScore
1.80
自引率
14.30%
发文量
11
审稿时长
10 weeks
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