Articles | Volume 14, issue 11
https://doi.org/10.5194/tc-14-3581-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-14-3581-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 Oct 2020
Research article |
| 31 Oct 2020
| 31 Oct 2020
Investigation of spatial and temporal variability of river ice phenology and thickness across Songhua River Basin, northeast China
Qian Yang
School of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Xincheng Street 5088, Changchun 130118, China
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Shengbei Street 4888, Changchun 130102, China
Kaishan Song
CORRESPONDING AUTHOR
School of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Xincheng Street 5088, Changchun 130118, China
Xiaohua Hao
Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Donggang West Road 322, Lanzhou 730000, China
Zhidan Wen
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Shengbei Street 4888, Changchun 130102, China
Yue Tan
School of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Xincheng Street 5088, Changchun 130118, China
Weibang Li
School of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Xincheng Street 5088, Changchun 130118, China
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Short summary
Using daily ice records of 156 hydrological stations across Songhua River Basin, we examined the spatial variability in the river ice phenology and river ice thickness from 2010 to 2015 and explored the role of snow depth and air temperature on the ice thickness. Snow cover correlated with ice thickness significantly and positively when the freshwater was completely frozen. Cumulative air temperature of freezing provides a better predictor than the air temperature for ice thickness modeling.
Using daily ice records of 156 hydrological stations across Songhua River Basin, we examined the...
