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DOI | 10.5194/acp-16-13681-2016 |
Evaluation of cloud effects on air temperature estimation using MODIS LST based on ground measurements over the Tibetan Plateau | |
Zhang, Hongbo; Zhang, Fan; Zhang, Guoqing; He, Xiaobo; Tian, Lide | |
通讯作者 | Zhang, HB (通讯作者) |
发表日期 | 2016 |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
起始页码 | 13681 |
结束页码 | 13696 |
卷号 | 16期号:21 |
英文摘要 | Moderate Resolution Imaging Spectroradiometer (MODIS) daytime and nighttime land surface temperature (LST) data are often used as proxies for estimating daily maximum (T-max) and minimum (T-min) air temperatures, especially for remote mountainous areas due to the sparseness of ground measurements. However, the Tibetan Plateau (TP) has a high daily cloud cover fraction (>45 %), which may affect the air temperature (T-air) estimation accuracy. This study comprehensively analyzes the effects of clouds on T-air estimation based on MODIS LST using detailed half-hourly ground measurements and daily meteorological station observations collected from the TP. It is shown that erroneous rates of MODIS nighttime cloud detection are obviously higher than those achieved in daytime. Large errors in MODIS nighttime LST data were found to be introduced by undetected clouds and thus reduce the T-min estimation accuracy. However, for T-max estimation, clouds are mainly found to reduce the estimation accuracy by affecting the essential relationship between T-max and daytime LST. The errors of T-max estimation are obviously larger than those of T-min and could be attributed to larger MODIS daytime LST errors that result from higher degrees of LST heterogeneity within MODIS pixel compared to those of nighttime LST. Constraining MODIS observations to non-cloudy observations can efficiently screen data samples for accurate T-min estimation using MODIS nighttime LST. As a result, the present study reveals the effects of clouds on T-max and T-min estimation through MODIS daytime and nighttime LST, respectively, so as to help improve the T-air estimation accuracy and alleviate the severe air temperature data sparseness issues over the TP. |
关键词 | LAND-SURFACE TEMPERATUREESTIMATING DAILY MAXIMUMTEMPORAL VARIATIONSENERGY-BALANCECLEAR-SKYIN-SITUPRODUCTSVALIDATIONSVALBARDMINIMUM |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:000387119200001 |
来源期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
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来源机构 | 中国科学院青藏高原研究所 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/258658 |
推荐引用方式 GB/T 7714 | Zhang, Hongbo,Zhang, Fan,Zhang, Guoqing,et al. Evaluation of cloud effects on air temperature estimation using MODIS LST based on ground measurements over the Tibetan Plateau[J]. 中国科学院青藏高原研究所,2016,16(21). |
APA | Zhang, Hongbo,Zhang, Fan,Zhang, Guoqing,He, Xiaobo,&Tian, Lide.(2016).Evaluation of cloud effects on air temperature estimation using MODIS LST based on ground measurements over the Tibetan Plateau.ATMOSPHERIC CHEMISTRY AND PHYSICS,16(21). |
MLA | Zhang, Hongbo,et al."Evaluation of cloud effects on air temperature estimation using MODIS LST based on ground measurements over the Tibetan Plateau".ATMOSPHERIC CHEMISTRY AND PHYSICS 16.21(2016). |
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