DOI: 10.5194/hess-24-427-2020
论文题名: Cross-validating precipitation datasets in the Indus River basin
作者: Baudouin J.-P. ; Herzog M. ; A Petrie C.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期: 1 起始页码: 427
结束页码: 450
语种: 英语
Scopus关键词: Rain gages
; Satellites
; Watersheds
; Basin scale
; Correction factors
; Cross validation
; Indus river basin
; Precipitation variability
; Satellite observations
; Seasonality
; Temporal representations
; Rain
; data set
; mountain region
; precipitation (climatology)
; raingauge
; river basin
; satellite data
; Indus River
英文摘要: Large uncertainty remains about the amount of precipitation falling in the Indus River basin, particularly in the more mountainous northern part. While rain gauge measurements are often considered as a reference, they provide information for specific, often sparse, locations (point observations) and are subject to underestimation, particularly in mountain areas. Satellite observations and reanalysis data can improve our knowledge but validating their results is often difficult. In this study, we offer a cross-validation of 20 gridded datasets based on rain gauge, satellite, and reanalysis data, including the most recent and less studied APHRODITE-2, MERRA2, and ERA5. This original approach to cross-validation alternatively uses each dataset as a reference and interprets the result according to their dependency on the reference. Most interestingly, we found that reanalyses represent the daily variability of precipitation as well as any observational datasets, particularly in winter. Therefore, we suggest that reanalyses offer better estimates than non-corrected rain-gauge-based datasets where underestimation is problematic. Specifically, ERA5 is the reanalysis that offers estimates of precipitation closest to observations, in terms of amounts, seasonality, and variability, from daily to multi-annual scale. By contrast, satellite observations bring limited improvement at the basin scale. For the rain-gauge-based datasets, APHRODITE has the finest temporal representation of the precipitation variability, yet it importantly underestimates the actual amount. GPCC products are the only datasets that include a correction factor of the rain gauge measurements, but this factor likely remains too small. These findings highlight the need for a systematic characterisation of the underestimation of rain gauge measurements. © 2020. This work is distributed under the Creative Commons Attribution 4.0 License. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162804
Appears in Collections: 气候变化与战略
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作者单位: Baudouin, J.-P., Department of Geography, University of Cambridge, Cambridge, United Kingdom; Herzog, M., Department of Geography, University of Cambridge, Cambridge, United Kingdom; A Petrie, C., Department of Archaeology, University of Cambridge, Cambridge, United Kingdom
Recommended Citation:
Baudouin J.-P.,Herzog M.,A Petrie C.. Cross-validating precipitation datasets in the Indus River basin[J]. Hydrology and Earth System Sciences,2020-01-01,24(1)