气候变化领域集成服务门户(CCPortal): Cross-validating precipitation datasets in the Indus River basin

CCPortal

DOI	10.5194/hess-24-427-2020
	Cross-validating precipitation datasets in the Indus River basin
	Baudouin J.-P.; Herzog M.; A Petrie C.
发表日期	2020
ISSN	1027-5606
起始页码	427
结束页码	450
卷号	24 期号:1
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.
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
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159514
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
推荐引用方式 GB/T 7714	Baudouin J.-P.,Herzog M.,A Petrie C.. Cross-validating precipitation datasets in the Indus River basin[J],2020,24(1).
APA	Baudouin J.-P.,Herzog M.,&A Petrie C..(2020).Cross-validating precipitation datasets in the Indus River basin.Hydrology and Earth System Sciences,24(1).
MLA	Baudouin J.-P.,et al."Cross-validating precipitation datasets in the Indus River basin".Hydrology and Earth System Sciences 24.1(2020).