Microwave radiometry experiment for snow in Altay China: in situ time series of data for electromagnetic and physical features of snow pack and environment
- 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)
RC1: 'Comment on essd-2022-68', Anonymous Referee #1, 17 Mar 2022
- AC1: 'Reply on RC1', Tao Che, 05 Apr 2022
RC2: 'Comment on essd-2022-68', Anonymous Referee #2, 18 Mar 2022
- AC2: 'Reply on RC2', Tao Che, 05 Apr 2022
RC3: 'Comment on essd-2022-68', Anonymous Referee #3, 22 Mar 2022
- AC3: 'Reply on RC3', Tao Che, 05 Apr 2022
RC4: 'Comment on essd-2022-68', Anonymous Referee #4, 22 Mar 2022
- AC4: 'Reply on RC4', Tao Che, 05 Apr 2022
Liyun Dai et al.
Microwave radiometry experiment for snow in Altay China: in situ time series of data for electromagnetic and physical features of snow pack and environment https://doi.org/10.11888/Snow.tpdc.270886
Liyun Dai et al.
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