Estimation and changes of long-time global solar radiation at China’s Antarctic Zhongshan Station and Great Wall Station ...

<!--!introduction!--> 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 produc...

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Main Authors: Zeng, Zhaoliang, Ding, Minghu
Format: Conference Object
Language:unknown
Published: GFZ German Research Centre for Geosciences 2023
Subjects:
Online Access:https://dx.doi.org/10.57757/iugg23-1999
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017544
id ftdatacite:10.57757/iugg23-1999
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spelling ftdatacite:10.57757/iugg23-1999 2023-06-11T04:06:47+02:00 Estimation and changes of long-time global solar radiation at China’s Antarctic Zhongshan Station and Great Wall Station ... Zeng, Zhaoliang Ding, Minghu 2023 https://dx.doi.org/10.57757/iugg23-1999 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017544 unknown GFZ German Research Centre for Geosciences Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 ConferencePaper Oral Article 2023 ftdatacite https://doi.org/10.57757/iugg23-1999 2023-06-01T11:57:52Z <!--!introduction!--> 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 ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ... Conference Object Antarc* Antarctic Antarctica Ice Sheet Sea ice DataCite Metadata Store (German National Library of Science and Technology) Antarctic Great Wall Station ENVELOPE(-58.970,-58.970,-62.217,-62.217) 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 DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description <!--!introduction!--> 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 ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ...
format Conference Object
author Zeng, Zhaoliang
Ding, Minghu
spellingShingle Zeng, Zhaoliang
Ding, Minghu
Estimation and changes of long-time global solar radiation at China’s Antarctic Zhongshan Station and Great Wall Station ...
author_facet Zeng, Zhaoliang
Ding, Minghu
author_sort Zeng, Zhaoliang
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 ...
publisher GFZ German Research Centre for Geosciences
publishDate 2023
url https://dx.doi.org/10.57757/iugg23-1999
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
Zhongshan
Zhongshan Station
geographic_facet Antarctic
Great Wall Station
Zhongshan
Zhongshan Station
genre Antarc*
Antarctic
Antarctica
Ice Sheet
Sea ice
genre_facet Antarc*
Antarctic
Antarctica
Ice Sheet
Sea ice
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.57757/iugg23-1999
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