Special Section on Progress in Snow Remote Sensing

In-situ observations and modeling of spring snowmelt processes in an Altay Mountains river basin

[+] Author Affiliations
Xuejiao Wu

Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, State Key Laboratory of Cryospheric Sciences, Lanzhou, Gansu 730000, China

University of Chinese Academy of Sciences, Beijing 100049, China

Ninglian Wang

Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, State Key Laboratory of Cryospheric Sciences, Lanzhou, Gansu 730000, China

Yongping Shen

Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, State Key Laboratory of Cryospheric Sciences, Lanzhou, Gansu 730000, China

Jianqiao He

Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, State Key Laboratory of Cryospheric Sciences, Lanzhou, Gansu 730000, China

Wei Zhang

Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, State Key Laboratory of Cryospheric Sciences, Lanzhou, Gansu 730000, China

University of Chinese Academy of Sciences, Beijing 100049, China

J. Appl. Remote Sens. 8(1), 084697 (Apr 25, 2014). doi:10.1117/1.JRS.8.084697
History: Received January 15, 2014; Revised March 10, 2014; Accepted March 27, 2014
Text Size: A A A

Abstract.  Snowmelt is a principal source for ground-water recharge and stream flows in mountainous regions of northwestern China. Knowledge of the timing, magnitude, and processes of snowmelt under changing climate conditions is required for appropriate water resource management. The Utah energy balance (UEB) model was used to simulate the development and melting of spring (March 2012) snow cover at an observation site in the Kayiertesi River Basin in the Altay Mountains in Xinjiang. The modeled results were validated by field measurements and remotely sensed data. Results show that the simulation of the snowmelt process lasted for 24 days and the modeled snow water equivalent (SWE) closely matched the observed SWE, with a mean relative error of 7.2%. During the snowmelt process, net radiation was the major energy source of the snow layer. The variation of the snowmelt outflow was closely related to the snowmelt amounts and air temperature. The initial results of this modeling process show that our calibrated parameters were reasonable and the UEB model can be used for simulating and forecasting peak snowmelt outflows in this region.

Figures in this Article
© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Xuejiao Wu ; Ninglian Wang ; Yongping Shen ; Jianqiao He and Wei Zhang
"In-situ observations and modeling of spring snowmelt processes in an Altay Mountains river basin", J. Appl. Remote Sens. 8(1), 084697 (Apr 25, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.084697


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement


 

  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.