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DOI10.1175/JCLI-D-17-0732.1
Development and Validation of a Long-Term, Global, Terrestrial Sensible Heat Flux Dataset
Siemann, Amanda L.; Chaney, Nathaniel; Wood, Eric F.
2018-08-01
发表期刊JOURNAL OF CLIMATE
ISSN0894-8755
EISSN1520-0442
出版年2018
卷号31期号:15页码:6073-6095
文章类型Article
语种英语
国家USA
英文摘要

Sensible heat flux is a turbulent flux driving interactions between the Earth's surface and the atmosphere, propelling local and regional climate. While turbulent fluxes are measured in situ, global scales require estimates at larger spatial scales, which can be made using remotely sensed satellite data. This study uses a first-order approximation to calculate the unconstrained hourly, terrestrial, 0.5 degrees-resolution sensible heat flux using a land surface temperature consistent with the High Resolution Infrared Radiation Sounder (HIRS) retrievals, six reanalysis-based air temperature products, and a dataset of Zilitinkevich empirical constant C-zil values. This sensible heat flux dataset is constrained using the daily Bowen ratio and available energy, to produce nine constrained, daily products. All resulting global, terrestrial averages are within the uncertainty range of +/- 6.3 W m(-2) from the 38.8 W m(-2) global annual average previously reported in the literature. The product constrained with the net radiation using the Moderate Resolution Infrared Spectroradiometer (MODIS) albedo and air temperature from the National Centers for Environmental Protection (NCEP) Climate Forecast System Reanalysis (CFSR) performs closest to the FLUXNET ground observations in the monthly analysis. These sensible heat flux estimates should be used for benchmarking global climate models at monthly or annual scales, and improvements should be made to the accuracy of input variables, particularly the temperature gradient, C-zil estimates, and the roughness length.


英文关键词Atmosphere-land interaction Energy budget balance Fluxes Heat budgets fluxes Sensible heating Surface fluxes
领域气候变化
收录类别SCI-E
WOS记录号WOS:000437092900005
WOS关键词SURFACE-ENERGY BALANCE ; REMOTELY-SENSED DATA ; MODEL CONDITIONAL PROCESSOR ; MESOSCALE ETA-MODEL ; PREDICTIVE UNCERTAINTY ; MODIS DATA ; LAND ; TEMPERATURE ; ALGORITHM ; REANALYSIS
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/19706
专题气候变化
作者单位Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA
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Siemann, Amanda L.,Chaney, Nathaniel,Wood, Eric F.. Development and Validation of a Long-Term, Global, Terrestrial Sensible Heat Flux Dataset[J]. JOURNAL OF CLIMATE,2018,31(15):6073-6095.
APA Siemann, Amanda L.,Chaney, Nathaniel,&Wood, Eric F..(2018).Development and Validation of a Long-Term, Global, Terrestrial Sensible Heat Flux Dataset.JOURNAL OF CLIMATE,31(15),6073-6095.
MLA Siemann, Amanda L.,et al."Development and Validation of a Long-Term, Global, Terrestrial Sensible Heat Flux Dataset".JOURNAL OF CLIMATE 31.15(2018):6073-6095.
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