A Physically Based Spatial Expansion Algorithm for Surface Air Temperature and Humidity
An algorithm was developed to expand the surface air temperature and air humidity to a larger spatial domain, based on the fact that the variation of surface air temperature and air humidity is controlled jointly by the local turbulence and the horizontal advection. This study proposed an algorithm...
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Format: | Article |
Language: | English |
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Wiley
2013-01-01
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Series: | Advances in Meteorology |
Online Access: | http://dx.doi.org/10.1155/2013/727546 |
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author | Hongbo Su Jing Tian Renhua Zhang Shaohui Chen Yongmin Yang Yuan Rong Sujuan Mi Jianwei Qi |
author_facet | Hongbo Su Jing Tian Renhua Zhang Shaohui Chen Yongmin Yang Yuan Rong Sujuan Mi Jianwei Qi |
author_sort | Hongbo Su |
collection | DOAJ |
description | An algorithm was developed to expand the surface air temperature and air humidity to a larger spatial domain, based on the fact that the variation of surface air temperature and air humidity is controlled jointly by the local turbulence and the horizontal advection. This study proposed an algorithm which considers the advective driving force outside the thermal balance system and the turbulent driving force and radiant driving force inside the thermal balance system. The surface air temperature is determined by a combination of the surface observations and the regional land surface temperature observed from a satellite. The average absolute difference of the algorithm is 0.65 degree and 0.31 mb, respectively, for surface air temperature and humidity expansion, which provides a promising approach to downscale the two surface meteorological variables. |
format | Article |
id | doaj-art-5e63fd7538c14a3b815d052a84f5d251 |
institution | Kabale University |
issn | 1687-9309 1687-9317 |
language | English |
publishDate | 2013-01-01 |
publisher | Wiley |
record_format | Article |
series | Advances in Meteorology |
spelling | doaj-art-5e63fd7538c14a3b815d052a84f5d2512025-02-03T05:44:55ZengWileyAdvances in Meteorology1687-93091687-93172013-01-01201310.1155/2013/727546727546A Physically Based Spatial Expansion Algorithm for Surface Air Temperature and HumidityHongbo Su0Jing Tian1Renhua Zhang2Shaohui Chen3Yongmin Yang4Yuan Rong5Sujuan Mi6Jianwei Qi7Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaChina Aero Geophysical Survey & Remote Sensing Center for Land and Resources, Beijing 100083, ChinaAn algorithm was developed to expand the surface air temperature and air humidity to a larger spatial domain, based on the fact that the variation of surface air temperature and air humidity is controlled jointly by the local turbulence and the horizontal advection. This study proposed an algorithm which considers the advective driving force outside the thermal balance system and the turbulent driving force and radiant driving force inside the thermal balance system. The surface air temperature is determined by a combination of the surface observations and the regional land surface temperature observed from a satellite. The average absolute difference of the algorithm is 0.65 degree and 0.31 mb, respectively, for surface air temperature and humidity expansion, which provides a promising approach to downscale the two surface meteorological variables.http://dx.doi.org/10.1155/2013/727546 |
spellingShingle | Hongbo Su Jing Tian Renhua Zhang Shaohui Chen Yongmin Yang Yuan Rong Sujuan Mi Jianwei Qi A Physically Based Spatial Expansion Algorithm for Surface Air Temperature and Humidity Advances in Meteorology |
title | A Physically Based Spatial Expansion Algorithm for Surface Air Temperature and Humidity |
title_full | A Physically Based Spatial Expansion Algorithm for Surface Air Temperature and Humidity |
title_fullStr | A Physically Based Spatial Expansion Algorithm for Surface Air Temperature and Humidity |
title_full_unstemmed | A Physically Based Spatial Expansion Algorithm for Surface Air Temperature and Humidity |
title_short | A Physically Based Spatial Expansion Algorithm for Surface Air Temperature and Humidity |
title_sort | physically based spatial expansion algorithm for surface air temperature and humidity |
url | http://dx.doi.org/10.1155/2013/727546 |
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