Estimation and changes of long-time global solar radiation at China’s Antarctic Zhongshan Station and Great Wall Station
Solar radiation drives numerous geophysical and biological processes in Antarctica, including sea ice melting, ice sheet mass balance, and the photosynthetic processes of phytoplankton in the polar marine environment. Despite the ability of reanalysis and satellite products to provide valuable insig...
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ftgfzpotsdam:oai:gfzpublic.gfz-potsdam.de:item_5017544 2023-06-11T04:04:41+02:00 Estimation and changes of long-time global solar radiation at China’s Antarctic Zhongshan Station and Great Wall Station Zeng, Z. Ding, M. 2023 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017544 eng eng info:eu-repo/semantics/altIdentifier/doi/10.57757/IUGG23-1999 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017544 XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) info:eu-repo/semantics/conferenceObject 2023 ftgfzpotsdam https://doi.org/10.57757/IUGG23-1999 2023-05-28T23:39:14Z Solar radiation drives numerous geophysical and biological processes in Antarctica, including sea ice melting, ice sheet mass balance, and the photosynthetic processes of phytoplankton in the polar marine environment. Despite the ability of reanalysis and satellite products to provide valuable insights into global-scale solar radiation, the ground-based solar radiation in the polar region remains poorly understood due to the harsh conditions in Antarctica. This study evaluated the performance of empirical models and machine learning models to establish a long-term daily global solar radiation (DGSR) dataset using meteorological observation data from Zhongshan Station and the Great Wall Station. The machine learning method was found to outperform the empirical formula method, with the random forest (XGBoost) model demonstrating the best performance in terms of DGSR hindcast estimation at the Zhongshan Station (Great Wall Station). The annual DGSR at both stations showed a similar trend, increasing from 1990 to 2004 and then decreasing after that. In addition to clouds and water vapor, poor weather conditions also significantly affect solar radiation at these stations. The high-precision, long-term DGSR dataset can provide a quantitative understanding of Earth's surface radiation balance and validate satellite data for the Antarctic region, advancing our knowledge of Antarctica's role in global climate change and the interactions between snow, ice, and the atmosphere. Conference Object Antarc* Antarctic Antarctica Ice Sheet Sea ice GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) Antarctic Great Wall Station ENVELOPE(-58.970,-58.970,-62.217,-62.217) The Antarctic Zhongshan ENVELOPE(76.371,76.371,-69.373,-69.373) Zhongshan Station ENVELOPE(76.371,76.371,-69.373,-69.373) |
institution |
Open Polar |
collection |
GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) |
op_collection_id |
ftgfzpotsdam |
language |
English |
description |
Solar radiation drives numerous geophysical and biological processes in Antarctica, including sea ice melting, ice sheet mass balance, and the photosynthetic processes of phytoplankton in the polar marine environment. Despite the ability of reanalysis and satellite products to provide valuable insights into global-scale solar radiation, the ground-based solar radiation in the polar region remains poorly understood due to the harsh conditions in Antarctica. This study evaluated the performance of empirical models and machine learning models to establish a long-term daily global solar radiation (DGSR) dataset using meteorological observation data from Zhongshan Station and the Great Wall Station. The machine learning method was found to outperform the empirical formula method, with the random forest (XGBoost) model demonstrating the best performance in terms of DGSR hindcast estimation at the Zhongshan Station (Great Wall Station). The annual DGSR at both stations showed a similar trend, increasing from 1990 to 2004 and then decreasing after that. In addition to clouds and water vapor, poor weather conditions also significantly affect solar radiation at these stations. The high-precision, long-term DGSR dataset can provide a quantitative understanding of Earth's surface radiation balance and validate satellite data for the Antarctic region, advancing our knowledge of Antarctica's role in global climate change and the interactions between snow, ice, and the atmosphere. |
format |
Conference Object |
author |
Zeng, Z. Ding, M. |
spellingShingle |
Zeng, Z. Ding, M. Estimation and changes of long-time global solar radiation at China’s Antarctic Zhongshan Station and Great Wall Station |
author_facet |
Zeng, Z. Ding, M. |
author_sort |
Zeng, Z. |
title |
Estimation and changes of long-time global solar radiation at China’s Antarctic Zhongshan Station and Great Wall Station |
title_short |
Estimation and changes of long-time global solar radiation at China’s Antarctic Zhongshan Station and Great Wall Station |
title_full |
Estimation and changes of long-time global solar radiation at China’s Antarctic Zhongshan Station and Great Wall Station |
title_fullStr |
Estimation and changes of long-time global solar radiation at China’s Antarctic Zhongshan Station and Great Wall Station |
title_full_unstemmed |
Estimation and changes of long-time global solar radiation at China’s Antarctic Zhongshan Station and Great Wall Station |
title_sort |
estimation and changes of long-time global solar radiation at china’s antarctic zhongshan station and great wall station |
publishDate |
2023 |
url |
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017544 |
long_lat |
ENVELOPE(-58.970,-58.970,-62.217,-62.217) ENVELOPE(76.371,76.371,-69.373,-69.373) ENVELOPE(76.371,76.371,-69.373,-69.373) |
geographic |
Antarctic Great Wall Station The Antarctic Zhongshan Zhongshan Station |
geographic_facet |
Antarctic Great Wall Station The Antarctic Zhongshan Zhongshan Station |
genre |
Antarc* Antarctic Antarctica Ice Sheet Sea ice |
genre_facet |
Antarc* Antarctic Antarctica Ice Sheet Sea ice |
op_source |
XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.57757/IUGG23-1999 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017544 |
op_doi |
https://doi.org/10.57757/IUGG23-1999 |
_version_ |
1768389803875762176 |