Simulating the precipitation in the data-scarce Tianshan Mountains, Northwest China based on the Earth system data products

Fan, Mengtian; Xu, Jiang; Chen, Yaning; Li, Weihong

doi:10.1007/s12517-020-05509-1

Cited by 17 publications

(5 citation statements)

References 69 publications

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“…The Tianshan Mountains are located far from the ocean and have a temperate continental climate, with an average annual temperature of 5.72°C (Fan et al, 2021). The Tianshan Mountains intercept water vapour carried by westerly flows, with an annual precipitation of more than 200 mm (Fan et al, 2020; Wei et al, 2008). Glaciers and snow were widely distributed in the study area, with a glacier area of approximately 7180 km 2 (Feng et al, 2022; Xu et al, 2018).…”

Section: Methodsmentioning

confidence: 99%

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Development of high‐resolution monthly precipitation datasets for geomorphological applications in the Tianshan Mountains from 2000 to 2050

Fan,

Xu,

Chen

et al. 2024

Earth Surf Processes Landf

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Precipitation has a fundamental influence on landscape evolution and erosion rates. Accurate predictions of precipitation changes are crucial for landscape evolution modelling and erosion modelling. The Tianshan Mountains are known as the ‘Water Tower in Central Asia’, where precipitation is the main water supply for the surrounding lakes and rivers and also supports the population and economic development in the plain areas. This study developed a global climate model (GCM) and digital elevation model (DEM)‐based downscaling method and simulated high‐resolution monthly precipitation in Tianshan from 2000 to 2050, with a resolution of 90 m. The datasets developed from 30 surface observation stations had a high degree of precision and simulated the precipitation processes well in the historical period. The simulation results indicated that precipitation will increase at a rate of 11 mm/decade under the SSP245 scenario and 5 mm/decade under the RCP4.5 scenario from 2022 to 2050. Spatially, precipitation was projected to increase in the central and eastern regions and decrease in the western region. In the Kaidu, Urumqi and Manas river basins in the central Tianshan Mountains, precipitation was projected to increase at a rate of 20 mm/decade. The datasets developed here have important theoretical and practical implications for water resource management, and sustainable development in Central Asia.

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Section: Methodsmentioning

confidence: 99%

“…In mountainous areas, precipitation has a nonlinear relationship with latitude, longitude and terrain factors (Fan et al, 2020(Fan et al, , 2021. Based on GCMs and a DEM, the present study developed a downscaling model to simulate high-resolution precipitation.…”

Section: Dataset Development Processmentioning

confidence: 99%

Development of high‐resolution monthly precipitation datasets for geomorphological applications in the Tianshan Mountains from 2000 to 2050

Fan,

Xu,

Chen

et al. 2024

Earth Surf Processes Landf

Self Cite

View full text Add to dashboard Cite

show abstract

“…Another important fact mentioned is the need for a dense network of surface meteorological stations around the globe to provide comprehensive coverage of different regions and climates. Dense monitoring networks are less common in remote or less densely populated regions or where the environmental conditions are too harsh to operate and maintain the instruments (Dinku, 2019;Fan et al, 2020;Schween et al, 2020).…”

Simulating the precipitation in the data-scarce Tianshan Mountains, Northwest China based on the Earth system data products

Cited by 17 publications

References 69 publications

Development of high‐resolution monthly precipitation datasets for geomorphological applications in the Tianshan Mountains from 2000 to 2050

Development of high‐resolution monthly precipitation datasets for geomorphological applications in the Tianshan Mountains from 2000 to 2050

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