Preprints
https://doi.org/10.5194/essd-2022-68
https://doi.org/10.5194/essd-2022-68
 
04 Mar 2022
04 Mar 2022
Status: a revised version of this preprint is currently under review for the journal ESSD.

Microwave radiometry experiment for snow in Altay China: in situ time series of data for electromagnetic and physical features of snow pack and environment

Liyun Dai1, Tao Che1,2, Yang Zhang1, Zhiguo Ren1,3, Junlei Tan1, Meerzhan Akynbekkyzy1, Lin Xiao1, Shengnan Zhou1, Yuna Yan4, Yan Liu4, Hongyi Li1, and Lifu Wang5 Liyun Dai et al.
  • 1Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
  • 2Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing, 100101, China
  • 3University of Chinese Academy of Sciences, Beijing, 1000101, China
  • 4Institute of Desert Meteorology, China Meteorological Administration, Urumqi, 830002, China
  • 5Altay National Reference Meteorological station, China Meteorological Administration, Altay, 836500, China

Abstract. Snow depth is a key parameter in climatic and hydrological systems. Passive microwave remote sensing, snow process model and data assimilation are the main methods to estimate snow depth in large scale. The estimation accuracies strongly depend on input of snow parameters or characteristics. Because the evolving processes of snow parameters vary spatiotemporally, and are difficult to accurately simulate or observe, large uncertainties and inconsistence exist among existing snow depth products. Therefore, a comprehensive experiment is needed to understand the involution processes of snow characteristics and their influence on microwave radiation of snowpack, evaluating and improving the snow depth and SWE retrieval and simulation methods. An Integrated Microwave Radiometry Campaign for snow (IMCS) was conducted at the Altay National Reference Meteorological station (ANRMS) in Xinjiang, China, during snow season of 2015/2016. The campaign hosted a dual polarized microwave radiometer operating at L, K and Ka bands to provide minutely passive microwave observations of snow cover at a fixed site, daily manual snow pit measurements, ten-minute automatic 4-component radiation and layering snow temperatures, covering a whole snow season of 2015/2016. The measurements of meteorological and underlying soil parameters were requested from the ANRMS. This study provides a summary of the obtained data, detailing measurement protocols for microwave radiometry, in situ sow pit and station observation data. A brief analysis of the microwave signatures against snow parameters is presented. A consolidated dataset of observations, comprising the ground passive microwave brightness temperatures, in situ snow characteristics, 4-component radiation and weather parameters, was achieved in the National Tibetan Plateau Data Center, China. The dataset is unique in providing continuously daily snow pits data over a snow season at a fixed site and matched microwave brightness temperatures, radiation and meteorological data. The dataset is expected to serve for the evaluation and development of the microwave and optical radiative transfer models and snow evolution process models. The consolidated data are available at https://data.tpdc.ac.cn/en/ (doi: 10.11888/Snow.tpdc.270886) (Dai, 2020).

Liyun Dai et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-68', Anonymous Referee #1, 17 Mar 2022
  • RC2: 'Comment on essd-2022-68', Anonymous Referee #2, 18 Mar 2022
  • RC3: 'Comment on essd-2022-68', Anonymous Referee #3, 22 Mar 2022
  • RC4: 'Comment on essd-2022-68', Anonymous Referee #4, 22 Mar 2022

Liyun Dai et al.

Data sets

Microwave radiometry experiment for snow in Altay China: in situ time series of data for electromagnetic and physical features of snow pack and environment Dai, L. https://doi.org/10.11888/Snow.tpdc.270886

Liyun Dai et al.

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Short summary
An Integrated Microwave Radiometry Campaign for snow (IMCS) was conducted to collect ground-based passive microwave and optical remote sensing data, snow pit and underlying soil data, and meteorological parameters. The dataset is unique in providing continuously electromagnetic and physical features of snow pack and environment. The dataset is expected to serve for the evaluation and development of the microwave and optical radiative transfer models and snow evolution process models.