Rapid Estimation of Snow Water Equivalent Using GPS-IR Observations

WANG Jiatong; HU Yufeng; LI Zhenhong; ZHANG Chenglong; ZHANG Miaomiao; YANG Jing; JIANG Wandong

doi:10.13203/j.whugis20210199

Volume 46 Issue 11

Nov. 2021

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Geomatics and Information Science of Wuhan University > 2021 > 46(11): 1666-1676. > DOI: 10.13203/j.whugis20210199

WANG Jiatong, HU Yufeng, LI Zhenhong, ZHANG Chenglong, ZHANG Miaomiao, YANG Jing, JIANG Wandong. Rapid Estimation of Snow Water Equivalent Using GPS-IR Observations[J]. Geomatics and Information Science of Wuhan University, 2021, 46(11): 1666-1676. DOI: 10.13203/j.whugis20210199

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Rapid Estimation of Snow Water Equivalent Using GPS-IR Observations

WANG Jiatong^{1, 2,},
HU Yufeng^{1, 2, 3, ,},
LI Zhenhong^{1, 2, 3},
ZHANG Chenglong^{1, 2},
ZHANG Miaomiao^{1, 2},
YANG Jing^{1, 2},
JIANG Wandong^{1, 2}

1.
College of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, China
2.
Big Data Center for Geosciences and Satellites, Chang'an University, Xi'an 710054, China
3.
Key Laboratory of Western China's Mineral Resources and Geological Engineering, Ministry of Education, Xi'an 710054, China

Funds:

The National Natural Science Foundation of China 41941019

The National Natural Science Foundation of China 41904020

the Natural Science Research Project of Shaan'xi Province 2020JQ-350

the Science and Technology Innovation Team of Shaan'xi Province 2021TD-51

the Fundamental Research Funds for the Central Universities, CHD 300102260301

the Fundamental Research Funds for the Central Universities, CHD 300102261108

the Fundamental Research Funds for the Central Universities, CHD 300102261404

the ESA-MOST DRAGON-5 Project 59339

More Information

Author Bio:
WANG Jiatong, postgraduate, specializes in GNSS-IR snow monitoring. E-mail: jiatong_wang417@163.com
Corresponding author:
HU Yufeng, PhD, lecturer. E‐mail: yfhu@chd.edu.cn
Received Date: April 21, 2021
Published Date: November 04, 2021

Graphical Abstract

Abstract

Abstract

Objectives Snow water equivalent (SWE) plays a key role in climate change prediction, water resource management and agricultural production planning. GPS interferometric reflectometry (GPS-IR) has been proven to be a powerful tool to monitor snow depth. An efficient framework is presented to rapidly estimate SWE from GPS-IR derived snow depth.
Methods Firstly, the daily snow depth product is obtained using GPS observations with GPS-IR technique. Secondly, an SWE conversion model is constructed using snow depth, SWE and climate observations from snow telemetry (SNOTEL) stations in the study region. Finally, using the climate forecast data provided by the historical and projected climate data for North America (ClimateNA) project as parameter constraints, the daily GPS snow depth product is converted into SWEs.
Results The application of the proposed framework to GPS data from the plate boundary observatory (PBO), USA shows that GPS-IR derived snow depth product is reliable (R² = 0.98, RMSE(root mean square error)= 11.1 cm, Bias =-3.7 cm).The daily GPS snow depth can be converted into SWE with high reliability (R² = 0.98, RMSE = 4.2 cm, Bias =-2.5 cm) and stability. The rapid conversion model has high spatiotemporal stability with most of the residuals lying with the range of [-5, 5] cm. The additional uncertainties introduced by the climate forecast data and the spatial variations of snow depths have limited impacts on the estimation of SWE.
Conclusions It is believed that the proposed framework can not only provide guidance to rapidly estimate SWE inregions lacking snow monitoring equipment, but also provide a reference to enhance existing snow observation network and improve accumulated snow products.
- GPS interferometric reflectometry(GPS-IR),
- snow depth,
- snow water equivalent,
- rapid estimation

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References (31)

References

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