Remote Sensing-Based Simulation of Snow Grain Size and Spatial-Temporal Variation Characteristics of Northeast China from 2001 to 2019
文献类型：期刊论文
| 作者 | Zhang, Fan3; Zhang, Lijuan2; Zheng, Yanjiao1; Wang, Shiwen2; Huang, Yutao2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-10-01 |
| 卷号 | 15期号:20页码:23 |
| 关键词 | snow grain size ART model MODIS northeast China |
| DOI | 10.3390/rs15204970 |
| 通讯作者 | Zhang, Lijuan(zhlj@hrbnu.edu.cn) |
| 英文摘要 | The size of snow grains is an important parameter in cryosphere studies. It is the main parameter affecting snow albedo and can have a feedback effect on regional climate change, the water cycle and ecological security. Larger snow grains increase the likelihood of light absorption and are important for passive microwave remote sensing, snow physics and hydrological modelling. Snow models would benefit from more observations of surface grain size. This paper uses an asymptotic radiative transfer model (ART model) based on MOD09GA ground reflectance data. A simulation of snow grain size (SGS) in northeast China from 2001 to 2019 was carried out using a two-channel algorithm. We verified the accuracy of the inversion results by using ground-based observations to obtain stratified snow grain sizes at 48 collection sites in northeastern China. Furthermore, we analysed the spatial and temporal trends of snow grain size in Northeastern China. The results show that the ART model has good accuracy in inverting snow grain size, with an RMSD of 65 mu m, which showed a non-significant increasing trend from 2001 to 2019 in northeast China. The annual average SGS distribution ranged from 430.83 to 452.38 mu m in northeast China, 2001-2019. The mean value was 441.78 mu m, with an annual increase of 0.26 mu m/a, showing a non-significant increasing trend and a coefficient of variation of 0.014. The simulations show that there is also intermonth variation in SGS, with December having the largest snow grain size with a mean value of 453.92 mu m, followed by January and February with 450.77 mu m and 417.78 mu m, respectively. The overall spatial distribution of SGS in the northeastern region shows the characteristics of being high in the north and low in the south, with values ranging from 380.248 mu m to 497.141 mu m. Overall, we clarified the size and distribution of snow grains over a long time series in the northeast. The results are key to an accurate evaluation of their effect on snow-ice albedo and their radiative forcing effect. |
| WOS关键词 | BLACK CARBON ; SATELLITE DATA ; COVERED AREA ; ALBEDO ; RETRIEVAL ; SHAPE ; REFLECTANCE ; MODEL ; STRATIGRAPHY ; SENSITIVITY |
| 资助项目 | China Postdoctoral Science Foundation[2023M733470] ; National Natural Science Foundation of China[42271136] ; Natural Science Foundation of Heilongjiang Province of China[ZD2020D002] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001089881800001 |
| 出版者 | MDPI |
| 资助机构 | China Postdoctoral Science Foundation ; National Natural Science Foundation of China ; Natural Science Foundation of Heilongjiang Province of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/199117]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Lijuan |
| 作者单位 | 1.Nanjing Univ Informat Sci & Technol, Sch Appl Meteorol, Jiangsu Key Lab Agr Meteorol, Nanjing 210044, Peoples R China 2.Harbin Normal Univ, Heilongjiang Prov Key Lab Geog Environm Monitoring, Harbin 150025, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Fan,Zhang, Lijuan,Zheng, Yanjiao,et al. Remote Sensing-Based Simulation of Snow Grain Size and Spatial-Temporal Variation Characteristics of Northeast China from 2001 to 2019[J]. REMOTE SENSING,2023,15(20):23. |
| APA | Zhang, Fan,Zhang, Lijuan,Zheng, Yanjiao,Wang, Shiwen,&Huang, Yutao.(2023).Remote Sensing-Based Simulation of Snow Grain Size and Spatial-Temporal Variation Characteristics of Northeast China from 2001 to 2019.REMOTE SENSING,15(20),23. |
| MLA | Zhang, Fan,et al."Remote Sensing-Based Simulation of Snow Grain Size and Spatial-Temporal Variation Characteristics of Northeast China from 2001 to 2019".REMOTE SENSING 15.20(2023):23. |
入库方式： OAI收割
来源：地理科学与资源研究所
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