Recent progress on evaluating and analysing surface radiation and energy budget datasets
ABSTRACTAlthough the surface energy budget is essential to determine Earth’s climate, site measurements of various radiative components are still too scarce to properly characterize their spatial and temporal variations. This has led to the development of a growing number of surface radiation produc...
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ftdoajarticles:oai:doaj.org/article:9979f25127ab46baadae5abcaa11eb41 2024-01-07T09:38:04+01:00 Recent progress on evaluating and analysing surface radiation and energy budget datasets Bo Jiang Xiaotong Zhang Dongdong Wang Shunlin Liang 2023-12-01T00:00:00Z https://doi.org/10.1080/17538947.2023.2286030 https://doaj.org/article/9979f25127ab46baadae5abcaa11eb41 EN eng Taylor & Francis Group https://www.tandfonline.com/doi/10.1080/17538947.2023.2286030 https://doaj.org/toc/1753-8947 https://doaj.org/toc/1753-8955 doi:10.1080/17538947.2023.2286030 1753-8955 1753-8947 https://doaj.org/article/9979f25127ab46baadae5abcaa11eb41 International Journal of Digital Earth, Vol 16, Iss 2, Pp 4929-4933 (2023) Surface radiation energy budget estimation evaluation spatio-temporal variation Mathematical geography. Cartography GA1-1776 article 2023 ftdoajarticles https://doi.org/10.1080/17538947.2023.2286030 2023-12-10T01:41:36Z ABSTRACTAlthough the surface energy budget is essential to determine Earth’s climate, site measurements of various radiative components are still too scarce to properly characterize their spatial and temporal variations. This has led to the development of a growing number of surface radiation products, mainly including remotely sensed data, model reanalysis data, and simulations using General Circulation Models (GCMs). This collection of papers introduces new techniques, including the use of machine learning methods for radiation estimation, and evaluates and compares various radiation products, as well as their spatio-temporal variations. These studies show large discrepancies among various products across nearly all radiative parameters in either accuracy or spatio-temporal variations. However, remotely sensed radiation products perform relatively better than others. Despite this, there is an urgent need for further efforts to address these discrepancies and improve the accuracy of these estimates. Even though the major radiative parameters including downward shortwave radiation, net longwave radiation, and albedo, from most products show insignificant long-term variation trends on a global scale, only specific regions, such as the Yunnan-Kweichow Plateau (YKP) and regions with permafrost (i.e. Qinghai-Tibet Plateau and Arctic) and glaciers (i.e. Altai Mountains) exhibit remarkable trends. Article in Journal/Newspaper albedo Arctic permafrost Directory of Open Access Journals: DOAJ Articles Arctic International Journal of Digital Earth 16 2 4929 4933 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Surface radiation energy budget estimation evaluation spatio-temporal variation Mathematical geography. Cartography GA1-1776 |
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Surface radiation energy budget estimation evaluation spatio-temporal variation Mathematical geography. Cartography GA1-1776 Bo Jiang Xiaotong Zhang Dongdong Wang Shunlin Liang Recent progress on evaluating and analysing surface radiation and energy budget datasets |
topic_facet |
Surface radiation energy budget estimation evaluation spatio-temporal variation Mathematical geography. Cartography GA1-1776 |
description |
ABSTRACTAlthough the surface energy budget is essential to determine Earth’s climate, site measurements of various radiative components are still too scarce to properly characterize their spatial and temporal variations. This has led to the development of a growing number of surface radiation products, mainly including remotely sensed data, model reanalysis data, and simulations using General Circulation Models (GCMs). This collection of papers introduces new techniques, including the use of machine learning methods for radiation estimation, and evaluates and compares various radiation products, as well as their spatio-temporal variations. These studies show large discrepancies among various products across nearly all radiative parameters in either accuracy or spatio-temporal variations. However, remotely sensed radiation products perform relatively better than others. Despite this, there is an urgent need for further efforts to address these discrepancies and improve the accuracy of these estimates. Even though the major radiative parameters including downward shortwave radiation, net longwave radiation, and albedo, from most products show insignificant long-term variation trends on a global scale, only specific regions, such as the Yunnan-Kweichow Plateau (YKP) and regions with permafrost (i.e. Qinghai-Tibet Plateau and Arctic) and glaciers (i.e. Altai Mountains) exhibit remarkable trends. |
format |
Article in Journal/Newspaper |
author |
Bo Jiang Xiaotong Zhang Dongdong Wang Shunlin Liang |
author_facet |
Bo Jiang Xiaotong Zhang Dongdong Wang Shunlin Liang |
author_sort |
Bo Jiang |
title |
Recent progress on evaluating and analysing surface radiation and energy budget datasets |
title_short |
Recent progress on evaluating and analysing surface radiation and energy budget datasets |
title_full |
Recent progress on evaluating and analysing surface radiation and energy budget datasets |
title_fullStr |
Recent progress on evaluating and analysing surface radiation and energy budget datasets |
title_full_unstemmed |
Recent progress on evaluating and analysing surface radiation and energy budget datasets |
title_sort |
recent progress on evaluating and analysing surface radiation and energy budget datasets |
publisher |
Taylor & Francis Group |
publishDate |
2023 |
url |
https://doi.org/10.1080/17538947.2023.2286030 https://doaj.org/article/9979f25127ab46baadae5abcaa11eb41 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
albedo Arctic permafrost |
genre_facet |
albedo Arctic permafrost |
op_source |
International Journal of Digital Earth, Vol 16, Iss 2, Pp 4929-4933 (2023) |
op_relation |
https://www.tandfonline.com/doi/10.1080/17538947.2023.2286030 https://doaj.org/toc/1753-8947 https://doaj.org/toc/1753-8955 doi:10.1080/17538947.2023.2286030 1753-8955 1753-8947 https://doaj.org/article/9979f25127ab46baadae5abcaa11eb41 |
op_doi |
https://doi.org/10.1080/17538947.2023.2286030 |
container_title |
International Journal of Digital Earth |
container_volume |
16 |
container_issue |
2 |
container_start_page |
4929 |
op_container_end_page |
4933 |
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1787429531564376064 |