气候变化领域集成服务门户(CCPortal): Evaluation and integration of reanalysis rainfall products under contrasting climatic conditions in India

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DOI	10.1016/j.atmosres.2020.105121
	Evaluation and integration of reanalysis rainfall products under contrasting climatic conditions in India
	Kolluru V.; Kolluru S.; Konkathi P.
发表日期	2020
ISSN	0169-8095
卷号	246
英文摘要	Advancements in science and technology lead to the development of different sensors that measure precipitation, an intrinsic component of the hydrological cycle. As conventional rainfall measurement is tedious, satellite precipitation products are being developed. In the current study, the newly released ECMWF (European Centre for Medium-Range Weather Forecasts) ReAnalysis (ERA-5) along with the Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) dataset was statistically evaluated against Indian Meteorological Department (IMD) gridded data and was employed for streamflow simulations using the Soil and Water Assessment Tool (SWAT) model in five contrasting climatic regions of India. Distinct calibration scenarios were developed to test the performance of these reanalysis datasets for simulating streamflow. From categorical and continuous statistical results, ERA-5 exhibited better performance in detecting low (0–5 mm/h) and medium intensity (6–25 mm/h) rainfall, whereas CHIRPS manifested better performance in detecting high intensity rainfall events (>25 mm/h). CHIRPS proved to be effective in simulating streamflows in three out of five basins, whereas IMD exhibited better performance in the other two basins leaving ERA-5 with poor performance for streamflow simulations in all the basins. It was also observed that Satellite Precipitation Products (SPP's) are accurate in humid and tropical regions when compared to arid and semi-arid regions. The worst performance was exhibited in the Ponnaiyar river basin by SPP's and hence bias correction and integration techniques were applied to improve the performance of streamflow simulations further. The novel integration of SPP employing nudging scheme yielded better streamflow simulations when forced into SWAT hydrological model compared to the streamflow simulations obtained when loaded with bias-corrected and raw datasets. The implemented nudging scheme improved the performance of streamflow simulations and hence can be implemented in any basin that is ungauged or resulting in poor hydrological modeling performance when employed with one SPP. The adopted nudging scheme will be highly useful to generate long-term consistent precipitation records in an ungauged or poorly gauged river basin. © 2020 Elsevier B.V.
英文关键词	Bias correction; CHIRPS; ERA-5; Integration; Satellite Precipitation dataset; SWAT
语种	英语
scopus关键词	Chirp modulation; Climate models; Integration; Rain; Soil moisture; Watersheds; Weather forecasting; Arid and semi-arid regions; European centre for medium-range weather forecasts; High intensity rainfall; Integration techniques; Satellite precipitation products; Science and Technology; Soil and water assessment tool; Streamflow simulations; Stream flow; calibration; climate conditions; correction; data set; hydrological modeling; precipitation assessment; rainfall; soil and water assessment tool; streamflow; India
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/141788
作者单位	Centre of Studies in Resources Engineering, IIT Bombay, India
推荐引用方式 GB/T 7714	Kolluru V.,Kolluru S.,Konkathi P.. Evaluation and integration of reanalysis rainfall products under contrasting climatic conditions in India[J],2020,246.
APA	Kolluru V.,Kolluru S.,&Konkathi P..(2020).Evaluation and integration of reanalysis rainfall products under contrasting climatic conditions in India.Atmospheric Research,246.
MLA	Kolluru V.,et al."Evaluation and integration of reanalysis rainfall products under contrasting climatic conditions in India".Atmospheric Research 246(2020).