Estimation of Daily Average Downward Shortwave Radiation over Antarctica
Surface shortwave (SW) irradiation is the primary driving force of energy exchange in the atmosphere and land interface. The global climate is profoundly influenced by irradiation changes due to the special climatic condition in Antarctica. Remote-sensing retrieval can offer only the instantaneous v...
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ftdoajarticles:oai:doaj.org/article:9c18eefd68914853ae6b5145ebb9be2e 2023-05-15T14:01:49+02:00 Estimation of Daily Average Downward Shortwave Radiation over Antarctica Yingji Zhou Guangjian Yan Jing Zhao Qing Chu Yanan Liu Kai Yan Yiyi Tong Xihan Mu Donghui Xie Wuming Zhang 2018-03-01T00:00:00Z https://doi.org/10.3390/rs10030422 https://doaj.org/article/9c18eefd68914853ae6b5145ebb9be2e EN eng MDPI AG http://www.mdpi.com/2072-4292/10/3/422 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs10030422 https://doaj.org/article/9c18eefd68914853ae6b5145ebb9be2e Remote Sensing, Vol 10, Iss 3, p 422 (2018) downward shortwave radiation daily average value Antarctica sinusoidal method cloud fraction interpolation Science Q article 2018 ftdoajarticles https://doi.org/10.3390/rs10030422 2022-12-31T11:22:55Z Surface shortwave (SW) irradiation is the primary driving force of energy exchange in the atmosphere and land interface. The global climate is profoundly influenced by irradiation changes due to the special climatic condition in Antarctica. Remote-sensing retrieval can offer only the instantaneous values in an area, whilst daily cycle and average values are necessary for further studies and applications, including climate change, ecology, and land surface process. When considering the large values of and small diurnal changes of solar zenith angle and cloud coverage, we develop two methods for the temporal extension of remotely sensed downward SW irradiance over Antarctica. The first one is an improved sinusoidal method, and the second one is an interpolation method based on cloud fraction change. The instantaneous irradiance data and cloud products are used in both methods to extend the diurnal cycle, and obtain the daily average value. Data from South Pole and Georg von Neumayer stations are used to validate the estimated value. The coefficient of determination (R2) between the estimated daily averages and the measured values based on the first method is 0.93, and the root mean square error (RMSE) is 32.21 W/m2 (8.52%). As for the traditional sinusoidal method, the R2 and RMSE are 0.68 and 70.32 W/m2 (18.59%), respectively The R2 and RMSE of the second method are 0.96 and 25.27 W/m2 (6.98%), respectively. These values are better than those of the traditional linear interpolation (0.79 and 57.40 W/m2 (15.87%)). Article in Journal/Newspaper Antarc* Antarctica South pole South pole Directory of Open Access Journals: DOAJ Articles Neumayer South Pole Remote Sensing 10 3 422 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
downward shortwave radiation daily average value Antarctica sinusoidal method cloud fraction interpolation Science Q |
spellingShingle |
downward shortwave radiation daily average value Antarctica sinusoidal method cloud fraction interpolation Science Q Yingji Zhou Guangjian Yan Jing Zhao Qing Chu Yanan Liu Kai Yan Yiyi Tong Xihan Mu Donghui Xie Wuming Zhang Estimation of Daily Average Downward Shortwave Radiation over Antarctica |
topic_facet |
downward shortwave radiation daily average value Antarctica sinusoidal method cloud fraction interpolation Science Q |
description |
Surface shortwave (SW) irradiation is the primary driving force of energy exchange in the atmosphere and land interface. The global climate is profoundly influenced by irradiation changes due to the special climatic condition in Antarctica. Remote-sensing retrieval can offer only the instantaneous values in an area, whilst daily cycle and average values are necessary for further studies and applications, including climate change, ecology, and land surface process. When considering the large values of and small diurnal changes of solar zenith angle and cloud coverage, we develop two methods for the temporal extension of remotely sensed downward SW irradiance over Antarctica. The first one is an improved sinusoidal method, and the second one is an interpolation method based on cloud fraction change. The instantaneous irradiance data and cloud products are used in both methods to extend the diurnal cycle, and obtain the daily average value. Data from South Pole and Georg von Neumayer stations are used to validate the estimated value. The coefficient of determination (R2) between the estimated daily averages and the measured values based on the first method is 0.93, and the root mean square error (RMSE) is 32.21 W/m2 (8.52%). As for the traditional sinusoidal method, the R2 and RMSE are 0.68 and 70.32 W/m2 (18.59%), respectively The R2 and RMSE of the second method are 0.96 and 25.27 W/m2 (6.98%), respectively. These values are better than those of the traditional linear interpolation (0.79 and 57.40 W/m2 (15.87%)). |
format |
Article in Journal/Newspaper |
author |
Yingji Zhou Guangjian Yan Jing Zhao Qing Chu Yanan Liu Kai Yan Yiyi Tong Xihan Mu Donghui Xie Wuming Zhang |
author_facet |
Yingji Zhou Guangjian Yan Jing Zhao Qing Chu Yanan Liu Kai Yan Yiyi Tong Xihan Mu Donghui Xie Wuming Zhang |
author_sort |
Yingji Zhou |
title |
Estimation of Daily Average Downward Shortwave Radiation over Antarctica |
title_short |
Estimation of Daily Average Downward Shortwave Radiation over Antarctica |
title_full |
Estimation of Daily Average Downward Shortwave Radiation over Antarctica |
title_fullStr |
Estimation of Daily Average Downward Shortwave Radiation over Antarctica |
title_full_unstemmed |
Estimation of Daily Average Downward Shortwave Radiation over Antarctica |
title_sort |
estimation of daily average downward shortwave radiation over antarctica |
publisher |
MDPI AG |
publishDate |
2018 |
url |
https://doi.org/10.3390/rs10030422 https://doaj.org/article/9c18eefd68914853ae6b5145ebb9be2e |
geographic |
Neumayer South Pole |
geographic_facet |
Neumayer South Pole |
genre |
Antarc* Antarctica South pole South pole |
genre_facet |
Antarc* Antarctica South pole South pole |
op_source |
Remote Sensing, Vol 10, Iss 3, p 422 (2018) |
op_relation |
http://www.mdpi.com/2072-4292/10/3/422 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs10030422 https://doaj.org/article/9c18eefd68914853ae6b5145ebb9be2e |
op_doi |
https://doi.org/10.3390/rs10030422 |
container_title |
Remote Sensing |
container_volume |
10 |
container_issue |
3 |
container_start_page |
422 |
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1766271854512701440 |