伊朗上空月度、季节和年度时间尺度卫星降水产品评估

IF 2.6 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Nazanin Nozarpour, Emad Mahjoobi, Saeed Golian
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引用次数: 0

摘要

了解全球降水的时空分布有利于增进气候知识,改进天气和气候预报模型。尽管确定降水分布非常复杂,但近几十年来已开发出许多基于卫星的降水产品(SPPs),以足够的覆盖范围和精度估算降水量。本研究评估了四种 SPP 的性能,分别是用于 GPM 的综合多卫星检索(IMERG-FRV6)、多源加权集合降水(MSWEP)、热带降雨测量任务(TRMM-3B43V7)、伊朗的月度、季节和年度降水量,并通过延长统计周期和选择基于误差、效率和相关性的评估指标来提高评估的准确性。本次评估使用了伊朗全国 81 个同步站 2008 年至 2019 年的实测降雨数据。为了准确评估所选的 SPP,对所有同步站的相关系数(CC)、Kling-Gupta 效率(KGE)、均方根误差(RMSE)和偏差等几个统计指标进行了计算和分析。结果表明,在所有时间尺度上,MSWEP 都比其他产品具有明显优势。在月降雨量较高的地区,所有四种产品的表现都与误差较大有关。PERSIANN-CDR 的月均方根误差最大,而 TRMM-3B43V7 在降水量为中低的较干旱地区表现更好。MSWEP 在春季、夏季和冬季的平均降水量与观测数据最为接近,而 IMERG-FRV6 则在所有季节都高估了降水量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Assessment of Satellite-based Precipitation Products in Monthly, Seasonal, and Annual Time-Scale over Iran

Assessment of Satellite-based Precipitation Products in Monthly, Seasonal, and Annual Time-Scale over Iran

Understanding the spatial and temporal distribution of precipitation globally is advantageous for advancing climate knowledge and improving weather and climate forecasting models. Despite the complexity of determining precipitation distribution, numerous satellite-based precipitation products (SPPs) have been developed in recent decades to estimate precipitation with sufficient coverage and accuracy. This study evaluates the performance of four SPPs, namely Integrated Multi-satellite Retrievals for GPM (IMERG-FRV6), Multi-Source Weighted-Ensemble Precipitation (MSWEP), Tropical Rainfall Measuring Mission (TRMM-3B43V7), and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks—Climate Data Record (PERSIANN-CDR) on monthly, seasonal, and annual scales in Iran, and aimed to enhance the accuracy of the evaluation by extending the statistical period and selecting evaluation indicators based on error, efficiency, and correlation. Measured rainfall data from 81 synoptic stations across Iran from 2008 to 2019 were used for this evaluation. To accurately assess the selected SPPs, several statistical indices including Correlation Coefficient (CC), Kling-Gupta Efficiency (KGE), Root Mean Square Error (RMSE), and Bias were calculated and analyzed at all synoptic stations. The results demonstrate that MSWEP has a significant advantage over other products at all time scales. The performance of all four products in areas with high monthly rainfall is associated with more errors. PERSIANN-CDR exhibited the highest monthly RMSE, while TRMM-3B43V7 performed better in drier regions with low to moderate precipitation. MSWEP showed the closest average precipitation to observational data in spring, summer, and winter, while IMERG-FRV6 overestimated precipitation in all seasons.

Graphical Abstract

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来源期刊
CiteScore
5.40
自引率
0.00%
发文量
104
审稿时长
1.7 months
期刊介绍: International Journal of Environmental Research is a multidisciplinary journal concerned with all aspects of environment. In pursuit of these, environmentalist disciplines are invited to contribute their knowledge and experience. International Journal of Environmental Research publishes original research papers, research notes and reviews across the broad field of environment. These include but are not limited to environmental science, environmental engineering, environmental management and planning and environmental design, urban and regional landscape design and natural disaster management. Thus high quality research papers or reviews dealing with any aspect of environment are welcomed. Papers may be theoretical, interpretative or experimental.
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