Articles | Volume 14, issue 11
https://doi.org/10.5194/tc-14-3811-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-14-3811-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Nov 2020
Research article |
| 09 Nov 2020
| 09 Nov 2020
Recent changes in pan-Antarctic region surface snowmelt detected by AMSR-E and AMSR2
Lei Zheng
School of Geospatial Engineering and Science, Sun Yat-sen University,
Guangzhou 510275, China
Chinese Antarctic Center of Surveying and Mapping, Wuhan University,
Wuhan 430079, China
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Zhuhai 519082, China
Chunxia Zhou
CORRESPONDING AUTHOR
Chinese Antarctic Center of Surveying and Mapping, Wuhan University,
Wuhan 430079, China
Tingjun Zhang
CORRESPONDING AUTHOR
Key Laboratory of Western China's Environmental Systems (Ministry of
Education), College of Earth and Environmental Sciences, Lanzhou University,
Lanzhou 730000, China
Qi Liang
School of Geospatial Engineering and Science, Sun Yat-sen University,
Guangzhou 510275, China
Chinese Antarctic Center of Surveying and Mapping, Wuhan University,
Wuhan 430079, China
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Zhuhai 519082, China
Kang Wang
School of Geographic Sciences, East China Normal University, Shanghai
200241, China
Institute of Arctic and Alpine Research, University of Colorado
Boulder, Boulder, Colorado, 80309, USA
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Cited
13 citations as recorded by crossref.
- Retrieval of snow depth on Antarctic sea ice from the FY-3D MWRI data Z. Yan et al. 10.1007/s13131-023-2179-5
- Reconstructing all-weather daytime land surface temperature based on energy balance considering the cloud radiative effect F. Xu et al. 10.1016/j.atmosres.2022.106397
- China’s Recent Progresses in Polar Climate Change and Its Interactions with the Global Climate System X. Li et al. 10.1007/s00376-023-2323-3
- Intercalibration of Brightness Temperatures From FY-3 MWRI for Surface Snowmelt Detection Over Polar Ice Sheets Z. Zhang et al. 10.1109/TGRS.2022.3216218
- Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges S. Husman et al. 10.1109/JSTARS.2022.3216953
- Duration of the influence of snowmelt on land surface temperature and humidity after snowmelt on the Mongolian Plateau S. Zhen et al. 10.1016/j.scitotenv.2023.166433
- Application of HY-2B Satellite Data to Retrieve Snow Depth on Antarctic Sea Ice Q. Ji et al. 10.3390/rs16173253
- Improving surface melt estimation over the Antarctic Ice Sheet using deep learning: a proof of concept over the Larsen Ice Shelf Z. Hu et al. 10.5194/tc-15-5639-2021
- Reconstructing All-Weather Daytime Land Surface Temperature Based on Energy Balance Considering the Cloud Radiative Effect F. Xu et al. 10.2139/ssrn.4057329
- Snowmelt detection in Greenland ice sheet based on AMSR2 89GHz X. Wang et al. 10.1016/j.coldregions.2023.103885
- A combined multi-source data and deep learning approach for retrieving snow depth on Antarctic Sea ice during the melting season Z. Yan et al. 10.1080/17538947.2024.2376260
- Global Snowmelt Onset Reflects Climate Variability: Insights from Spaceborne Radiometer Observations L. Zheng et al. 10.1175/JCLI-D-21-0265.1
- Greenland Ice Sheet Daily Surface Melt Flux Observed From Space L. Zheng et al. 10.1029/2021GL096690
12 citations as recorded by crossref.
- Retrieval of snow depth on Antarctic sea ice from the FY-3D MWRI data Z. Yan et al. 10.1007/s13131-023-2179-5
- Reconstructing all-weather daytime land surface temperature based on energy balance considering the cloud radiative effect F. Xu et al. 10.1016/j.atmosres.2022.106397
- China’s Recent Progresses in Polar Climate Change and Its Interactions with the Global Climate System X. Li et al. 10.1007/s00376-023-2323-3
- Intercalibration of Brightness Temperatures From FY-3 MWRI for Surface Snowmelt Detection Over Polar Ice Sheets Z. Zhang et al. 10.1109/TGRS.2022.3216218
- Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges S. Husman et al. 10.1109/JSTARS.2022.3216953
- Duration of the influence of snowmelt on land surface temperature and humidity after snowmelt on the Mongolian Plateau S. Zhen et al. 10.1016/j.scitotenv.2023.166433
- Application of HY-2B Satellite Data to Retrieve Snow Depth on Antarctic Sea Ice Q. Ji et al. 10.3390/rs16173253
- Improving surface melt estimation over the Antarctic Ice Sheet using deep learning: a proof of concept over the Larsen Ice Shelf Z. Hu et al. 10.5194/tc-15-5639-2021
- Reconstructing All-Weather Daytime Land Surface Temperature Based on Energy Balance Considering the Cloud Radiative Effect F. Xu et al. 10.2139/ssrn.4057329
- Snowmelt detection in Greenland ice sheet based on AMSR2 89GHz X. Wang et al. 10.1016/j.coldregions.2023.103885
- A combined multi-source data and deep learning approach for retrieving snow depth on Antarctic Sea ice during the melting season Z. Yan et al. 10.1080/17538947.2024.2376260
- Global Snowmelt Onset Reflects Climate Variability: Insights from Spaceborne Radiometer Observations L. Zheng et al. 10.1175/JCLI-D-21-0265.1
1 citations as recorded by crossref.
Latest update: 23 Nov 2024
Short summary
Snowmelt plays a key role in mass and energy balance in polar regions. In this study, we report on the spatial and temporal variations in the surface snowmelt over the Antarctic sea ice and ice sheet (pan-Antarctic region) based on AMSR-E and AMSR2. Melt detection on sea ice is improved by excluding the effect of open water. The decline in surface snowmelt on the Antarctic ice sheet was very likely linked with the enhanced summer Southern Annular Mode.
Snowmelt plays a key role in mass and energy balance in polar regions. In this study, we report...
