Future snow changes and their impact on the upstream runoff in Salween

Chai, Chenhao; Wang, Lei; Chen, Deliang; Zhou, Jing; Liu, Hu; Zhang, Jingtian; Wang, Yuanwei; Chen, Tao; Liu, Ruishun

doi:https://doi.org/10.5194/hess-26-4657-2022

Articles | Volume 26, issue 18

https://doi.org/10.5194/hess-26-4657-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-26-4657-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 18

Research article

|

22 Sep 2022

Research article |

| 22 Sep 2022

Future snow changes and their impact on the upstream runoff in Salween

Chenhao Chai, Lei Wang, Deliang Chen, Jing Zhou, Hu Liu, Jingtian Zhang, Yuanwei Wang, Tao Chen, and Ruishun Liu

Supplement

https://doi.org/10.5194/hess-26-4657-2022-supplement

Data sets

China meteorological forcing dataset (1979--2018) Yang, K. and He, J. https://doi.org/10.11888/AtmosphericPhysics.tpe.249369.file

ERA5 hourly data on single levels from 1959 to present Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

GLDAS Noah Land Surface Model L4 3 hourly 0.25x0.25degree V2.1 Beaudoing et al. https://doi.org/10.5067/E7TYRXPJKWOQ

MERRA-2 tavg1_2d_flx_Nx: 2d Global Modeling and Assimilation Office (GMAO) https://doi.org/10.5067/7MCPBJ41Y0K6

MYD11A2 MODIS/Aqua Land Surface Temperature/Emissivity 8-Day L3 Global 1km SIN Grid V006 Wan et al. https://doi.org/10.5067/MODIS/MYD11A2.006

MSWEP V2 global 3hourly 0.1degree precipitation: methodology and quantitative assessment Beck et al. http://www.gloh2o.org/mswx/

ISIMIP3b bias-adjusted atmospheric climate input data (v1.1) Lange, S. and Büchner, M. https://doi.org/10.48364/ISIMIP.842396.1

Hole-filled SRTM for the globe Version 4 Jarvis et al. http://srtm.csi.cgiar.org

A global land cover database primarily derived from 1992 to 1993 1-km AVHRR data Earth Resources Observation and Science Center https://doi.org/10.5066/F7GB230D

Land and Water Develepment Division: Digital soil map of the world and derived soil properties Food and Agriculture Organization of United Nations https://data.apps.fao.org/map/catalog/srv/eng/catalog.search#/metadata/446ed430-8383-11db-b9b2-000d939bc5d8

The Global Land Surface Satellite (GLASS) Product Suite Liang, S. L. https://doi.org/10.12041/geodata.GLASS_LAI_MODIS(0.05D).ver1.db

Hourly observations from ground weather stations in China China Meteorological Administration http://data.cma.cn/data/cdcdetail/dataCode/A.0012.0001.html

Improved daily MODIS TERRA/AQUA Snow and Randolph Glacier Inventory (RGI6.0) data for High Mountain Asia (2002--2019) Muhammad, S. https://doi.org/10.1594/PANGAEA.901821

Short summary

This work quantifies future snow changes and their impacts on hydrology in the upper Salween River (USR) under SSP126 and SSP585 using a cryosphere–hydrology model. Future warm–wet climate is not conducive to the development of snow. The rain–snow-dominated pattern of runoff will shift to a rain-dominated pattern after the 2040s under SSP585 but is unchanged under SSP126. The findings improve our understanding of cryosphere–hydrology processes and can assist water resource management in the USR.