Advanced search
1 file | 8.41 MB Add to list

Evaluation of spatiotemporal variability of temperature and precipitation over the Karakoram Highway region during the cold season by a Regional Climate Model

(2020) JOURNAL OF MOUNTAIN SCIENCE. 17(9). p.2108-2122
Author
Organization
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 hazard-prone areas. Considering the Karakoram Highway (KKH) region as a study area, a double nested 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 Weighted-Ensemble Precipitation (MSWEP) datasets. The results demonstrated that the WRF model well reproduced the observed monthly temperature (R= 0.96, mean bias = -3.92 degrees C) and precipitation (R= 0.57, mean bias = 8.69 mm). The WRF model delineated the essential features of precipitation variability and extremes, although it overestimated the wet day frequency and underestimated the precipitation intensity. Two rain bands were exhibited in a northwest-to-southeast direction over the study area. High wet day frequency was found in January, February, and March in the section between Hunza and Khunjerab. In addition, the areas with extreme values are mainly located in the Dasu-Islamabad section in February, March, and April. The WRF model has the potential to compensate for the spatial and temporal gaps of the observational networks and to provide more accurate predictions on the meteorological variables for avoiding common cold-weather hazards in the ungauged and high altitude areas at a regional scale.
Keywords
EXTREME PRECIPITATION, CONVECTIVE PARAMETERIZATION, WINTER, PRECIPITATION, WEATHER RESEARCH, WRF SIMULATIONS, SNOW, WESTERN, SENSITIVITY, REANALYSIS, RESOLUTION, Karakoram Highway, WRF model, Precipitation, Temperature, Snow hazards

Downloads

  • (...).pdf
    • full text (Published version)
    • |
    • UGent only
    • |
    • PDF
    • |
    • 8.41 MB

Citation

Please use this url to cite or link to this publication:

MLA
Yang, Tao, et al. “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, vol. 17, no. 9, Science Press, 2020, pp. 2108–22, doi:10.1007/s11629-019-5772-5.
APA
Yang, T., Li, Q., Chen, X., Yin, G., Li, L., & De Maeyer, P. (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(9), 2108–2122. https://doi.org/10.1007/s11629-019-5772-5
Chicago author-date
Yang, Tao, Qian Li, Xi Chen, Gang Yin, Lan-hai Li, and Philippe De Maeyer. 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 (9): 2108–22. https://doi.org/10.1007/s11629-019-5772-5.
Chicago author-date (all authors)
Yang, Tao, Qian Li, Xi Chen, Gang Yin, Lan-hai Li, and Philippe De Maeyer. 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 (9): 2108–2122. doi:10.1007/s11629-019-5772-5.
Vancouver
1.
Yang T, Li Q, Chen X, Yin G, Li L, De Maeyer P. 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. 2020;17(9):2108–22.
IEEE
[1]
T. Yang, Q. Li, X. Chen, G. Yin, L. Li, and P. De Maeyer, “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, vol. 17, no. 9, pp. 2108–2122, 2020.
@article{8689225,
  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 hazard-prone areas. Considering the Karakoram Highway (KKH) region as a study area, a double nested 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 Weighted-Ensemble Precipitation (MSWEP) datasets. The results demonstrated that the WRF model well reproduced the observed monthly temperature (R= 0.96, mean bias = -3.92 degrees C) and precipitation (R= 0.57, mean bias = 8.69 mm). The WRF model delineated the essential features of precipitation variability and extremes, although it overestimated the wet day frequency and underestimated the precipitation intensity. Two rain bands were exhibited in a northwest-to-southeast direction over the study area. High wet day frequency was found in January, February, and March in the section between Hunza and Khunjerab. In addition, the areas with extreme values are mainly located in the Dasu-Islamabad section in February, March, and April. The WRF model has the potential to compensate for the spatial and temporal gaps of the observational networks and to provide more accurate predictions on the meteorological variables for avoiding common cold-weather hazards in the ungauged and high altitude areas at a regional scale.},
  author       = {Yang, Tao and Li, Qian and Chen, Xi and Yin, Gang and Li, Lan-hai and De Maeyer, Philippe},
  issn         = {1672-6316},
  journal      = {JOURNAL OF MOUNTAIN SCIENCE},
  keywords     = {EXTREME PRECIPITATION,CONVECTIVE PARAMETERIZATION,WINTER,PRECIPITATION,WEATHER RESEARCH,WRF SIMULATIONS,SNOW,WESTERN,SENSITIVITY,REANALYSIS,RESOLUTION,Karakoram Highway,WRF model,Precipitation,Temperature,Snow hazards},
  language     = {eng},
  number       = {9},
  pages        = {2108--2122},
  publisher    = {Science Press},
  title        = {Evaluation of spatiotemporal variability of temperature and precipitation over the Karakoram Highway region during the cold season by a Regional Climate Model},
  url          = {http://dx.doi.org/10.1007/s11629-019-5772-5},
  volume       = {17},
  year         = {2020},
}

Altmetric
View in Altmetric
Web of Science
Times cited: