积雪物理过程模型支持的亚洲水塔地区0.25度雪深、雪水当量校正产品（2012-2020）

1、数据内容：2012年8月-2020年7月亚洲水塔地区0.25度积雪雪深、雪水当量数据集。范围：70-105°E, 25-50°N。时间分辨率：1天。空间分辨率：0.25°。
2、数据来源及加工方法：从积雪物理过程模型支持的全球AMSR2（Advanced Microwave Scanning Radiometer 2）被动微波雪深反演数据集（潘金梅等，2022）中提取亚洲水塔区域部分，并以2019-2020雪年基于物理机理反演的光学和被动微波结合高分辨率（3km）雪深产品作为参考真值，对前者在0.25°分辨率尺度进行逐像元修订，提供校正雪深和雪水当量。雪水当量通过基于SNTHERM（Snow Thermal Model）积雪过程模型计算的逐像元年平均雪密度由雪深转换得到。
3、数据质量描述：作为桥梁的高分辨率（3km）雪深数据集与气象台站观测的均方根误差为10 cm （0-120 cm范围）。高分辨率雪深转换到0.25度后，与新生成的校正雪深数据之前相关系数为0.79。
4、数据应用前景：亚洲水塔地区积雪研究。

1. Data Content: This dataset provides snow depth and snow water equivalent (SWE) data over the Asian Water Tower region from August 2012 to July 2020, with a spatial resolution of 0.25° and a temporal resolution of 1 day. The spatial coverage spans 70–105°E and 25–50°N.
2. Data Source and Processing Method: The subset of the Asian Water Tower region was extracted from the global passive microwave snow depth retrieval dataset supported by snow physical process models (AMSR2, Advanced Microwave Scanning Radiometer 2; Pan et al., 2022). Then, the high-resolution (3 km) snow depth product retrieved by combining optical and passive microwave data based on physical mechanisms during the 2019–2020 snow season was used as the reference ground truth to conduct pixel-wise calibration on the extracted subset at the 0.25° resolution scale, generating calibrated snow depth and SWE data. The snow water equivalent was converted from snow depth using the annual average snow density per pixel calculated by the SNTHERM (Snow Thermal Model) snow process model.
3. Data Quality Description: The high-resolution (3 km) snow depth dataset, which served as the reference standard, has a root mean square error (RMSE) of 10 cm (within the range of 0–120 cm) compared with in-situ observations from meteorological stations. After converting the high-resolution snow depth data to 0.25° resolution, the correlation coefficient between the converted data and the newly generated calibrated snow depth data is 0.79.
4. Data Application Prospect: This dataset is suitable for snow cover-related research over the Asian Water Tower region.

搜集汇总

背景与挑战

背景概述

该数据集提供了2012年8月至2020年7月亚洲水塔地区的0.25度积雪雪深和雪水当量数据，通过积雪物理过程模型和AMSR2被动微波数据反演并校正生成，适用于亚洲水塔地区积雪研究。