Evaluation of spatiotemporal variability of temperature and precipitation over the Karakoram Highway region during the c
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e-mail: [email protected]
http://jms.imde.ac.cn https://doi.org/10.1007/s11629-019-5772-5
Evaluation of spatiotemporal variability of temperature and precipitation over the Karakoram Highway region during the cold season by a Regional Climate Model YANG Tao1,2,3,4,5,6 LI Qian1,2,3,7
https://orcid.org/0000-0002-1555-4167; e-mail: [email protected]
CHEN Xi1,3,5,7 YIN Gang8
https://orcid.org/0000-0002-7382-2983; e-mail: [email protected]
https://orcid.org/0000-0003-0432-0733; e-mail: [email protected] https://orcid.org/0000-0002-8941-0078; e-mail: [email protected]
LI Lan-hai1,2,3,7*
https://orcid.org/0000-0003-4573-6284;
Philippe De MAEYER1,4,5,6
e-mail: [email protected]
https://orcid.org/0000-0001-8902-3855; e-mail: [email protected]
* Corresponding author 1 State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China 2 Ili Station for Watershed Ecosystem Research, Chinese Academy of Sciences, Xinyuan 835800, China 3 University of Chinese Academy of Sciences, Beijing 100049, China 4 Department of Geography, Ghent University, Ghent 9000, Belgium 5 Sino-Belgian Joint Laboratory of Geo-information, Urumqi 830011, China 6 Sino-Belgian Joint Laboratory of Geo-information, Ghent 9000, Belgium 7 Research Centre for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi 830011, China 8 College of Resources and Environmental Sciences, Xinjiang University, Urumqi 830046, China Citation: Yang T, Li Q, Chen X, et al. (2020) Evaluation of spatiotemporal variability of temperature and precipitation over the Karakoram Highway region during the cold season by a Regional Climate Model. Journal of Mountain Science 17. https://doi.org/10.1007/s11629-019-5772-5
© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract: Precipitation and temperature are two important factors associated to snow hazards which block the transport infrastructure and cause loss of life and properties in the cold season. The in-situ observations are limited in the alpine with complex topographic characteristics, while coarse satellite rainfall estimates, reanalysis rain datasets, and gridded in-situ rain gauge datasets obscure the understanding of the precipitation patterns in hazardprone areas. Considering the Karakoram Highway (KKH) region as a study area, a double nested Received: 05-Sep-2019 Revised: 26-May-2020 Accepted: 17-Jul-2020
Weather Research and Forecasting (WRF) model with the high resolution of a 10-km horizontal grid was performed to investigate the spatial and temporal patterns of temperature and precipitation covering the Karakoram Highway region during the cold season. The results of WRF were compared with the in-situ observations and Multi-Source WeightedEnsemble Precipitation (MSWEP) datasets. The results demonstrated that the WRF model well reproduced the observed monthly temperature (R = 0.96, mean bias = -3
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