Precipitation projections using a spatiotemporally distributed method: a case study in the Poyang Lake watershed based on the MRI-CGCM3
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Published:2019-03-21
Issue:3
Volume:23
Page:1649-1666
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ISSN:1607-7938
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Container-title:Hydrology and Earth System Sciences
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language:en
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Short-container-title:Hydrol. Earth Syst. Sci.
Author:
Zhang Ling,Chen Xiaoling,Lu Jianzhong,Fu Xiaokang,Zhang Yufang,Liang Dong,Xu Qiangqiang
Abstract
Abstract. To bridge the gap between large-scale GCM (global climate model) outputs and
regional-scale climate requirements of hydrological models, a
spatiotemporally distributed downscaling model (STDDM) was developed. The
STDDM was done in three stages: (1) up-sampling grid-observations and GCM
simulations for spatially continuous finer grids, (2) creating the mapping
relationship between the observations and the simulations differently in
space and time, and (3) correcting the simulation and producing downscaled
data to a spatially continuous grid scale. We applied the STDDM to
precipitation downscaling in the Poyang Lake watershed using the MRI-CGCM3
(Meteorological Research Institute Coupled Ocean–Atmosphere General
Circulation Model 3), with an acceptable uncertainty of ≤ 4.9 %.
Then we created future precipitation changes from 1998 to 2100 (1998–2012 in
the historical scenario and 2013–2100 in the RCP8.5 scenario). The
precipitation changes increased heterogeneities in temporal and spatial
distribution under future climate warming. In terms of temporal patterns, the
wet season become wetter, while the dry season become drier. The frequency of
extreme precipitation increased, while that of the moderate precipitation
decreased. Total precipitation increased, while rainy days decreased. The
maximum continuous dry days and the maximum daily precipitation both
increased. In terms of spatial patterns, the dry area exhibited a drier
condition during the dry season, and the wet area exhibited a wetter
condition during the wet season. Analysis with temperature increment showed
precipitation changes can be significantly explained by climate warming, with
p<0.05 and R≥0.56. The precipitation changes indicated that the
downscaling method is reasonable, and the STDDM could be successfully applied
to the basin-scale region based on a GCM. The results implied an increasing
risk of floods and droughts under global warming, which were a reference for
water balance analysis and water resource planning.
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
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