Abstract
Meteorological drought, one of the most frequent climate-related disasters, causes great danger for human health and socioeconomic development. With an aim to improve the accuracy of meteorological drought monitoring, this study collected multi-source remotely-sensed precipitation products, i.e., the Tropical Rainfall Measuring Mission (TRMM), the Global Precipitation Measurement Mission (GPM), and Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), and compared their performance over Hubei Province, China. The geographic difference analysis was used to blend the best-fitted product with gauged precipitation data. Based on the fused dataset with verification, the spatio-temporal characteristics of drought were investigated. Results showed that GPM performed the best in precipitation numerical evaluation and event detection with a 5 mm/d threshold. The fused data accurately captured 80% of historical drought events and indicated that extreme annual droughts mainly occurred in the northern and northwestern regions, while slight, moderate, and severe droughts mainly occurred in the central and eastern parts. The short-term drought exhibited the highest frequency of 33% in summer and the lowest frequency of 27% in spring, while the medium-term drought showed a higher frequency in autumn and winter. This could be a preliminary assessment of drought based on multi-source fused precipitation data for precise drought outlook and risk management.
Highlights
The sixth assessment report of IPCC held on August 2021 indicates that climate change has affected the occurrence of a number of extreme weather and climate events in all regions of the world, including heavy rainfall, heat waves, and drought [1]
The root mean square error (RMSE) values showed rather large fluctuations among the stations, indicating that the overall error level of the precipitation product had a large difference at various stations
In terms of mean error (ME) and BIAS, the results showed that the Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Measurement Mission (GPM) exhibited better performance than CHIRPS
Summary
The sixth assessment report of IPCC held on August 2021 indicates that climate change has affected the occurrence of a number of extreme weather and climate events in all regions of the world, including heavy rainfall, heat waves, and drought [1]. Precipitation Measurement Mission (GPM), and other products have emerged, providing abundant datasets for global precipitation These widely-used remote sensing precipitation products can precisely capture the drought of contiguous regions in space with the advantages of broad coverage and high spatio-temporal resolution. NASA launched the Global Precipitation Measurement Mission (GPM) based on TRMM in 2014, which aimed to provide a new generation of quasi-global satellite remote sensing data products with higher accuracy and resolution. Considering the wide applicability of TRMM, GPM, and CHIRPS precipitation products, this paper conducts a precision evaluation to select the product with the best performance regarding data fusion processing for drought monitoring and assessment in Hubei.
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