Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations-Reference-Cited by-同舟云学术

Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations

Published:2014-04-23 Issue:8 Volume:119 Page:4521-4545
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Yao Yunjun¹,Liang Shunlin¹²,Li Xianglan¹,Hong Yang³⁴,Fisher Joshua B.⁵,Zhang Nannan⁶,Chen Jiquan⁷,Cheng Jie¹,Zhao Shaohua⁸,Zhang Xiaotong¹,Jiang Bo¹,Sun Liang⁹,Jia Kun¹,Wang Kaicun¹⁰,Chen Yang¹⁰,Mu Qiaozhen¹¹,Feng Fei¹

Affiliation:

1. State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science; Beijing Normal University; Beijing China

2. Department of Geographical Sciences; University of Maryland; College Park Maryland USA

3. School of Civil Engineering and Environmental Sciences; University of Oklahoma; Norman Oklahoma USA

4. Department of Hydraulic Engineering and State Key Lab of Hydroscience and Engineering; Tsinghua University; Beijing China

5. Jet Propulsion Laboratory; California Institute of Technology; Pasadena California USA

6. School of Earth Sciences and Engineering; Hohai University; Nanjing China

7. Department of Environmental Sciences; University of Toledo; Toledo Ohio USA

8. Environmental Satellite Center; Ministry of Environmental Protection; Beijing China

9. Institute of Agricultural Resources and Regional Planning; Chinese Academy of Agricultural Sciences; Beijing China

10. State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science; Beijing Normal University; Beijing China

11. Numerical Terradynamic Simulation Group; Department of Ecosystem and Conservation Sciences, University of Montana; Missoula Montana USA

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Reference106 articles.

1. Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC) model;Allen;J. Irrig. Drain. Eng.,2007

2. A two-source time-integrated model for estimating surface fluxes using thermal infrared remote sensing;Anderson;Remote Sens. Environ.,1997

3. Breathing of the terrestrial biosphere: Lessons learned from a global network of carbon dioxide flux measurement systems;Baldocchi;Aust. J. Bot.,2008

4. FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor and energy flux densities;Baldocchi;Bull. Am. Meteorol. Soc.,2001

5. A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation;Bastiaanssen;J. Hydrol.,1998

Cited by 162 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Heating pattern and effects of built-up land in response to influencing factors: A statistical estimation of 172 Chinese cities;Journal of Cleaner Production;2024-10

2. A gap filling method for daily evapotranspiration of global flux data sets based on deep learning;Journal of Hydrology;2024-09

3. Globally assessing how evapotranspiration feedbacks govern the impacts of multi-year droughts;Journal of Hydrology;2024-09

4. Trends analysis of Evapotranspiration and responses to soil moisture and wind speed over the Taklimakan Desert, China;Arid Land Research and Management;2024-08-22

5. Satellite Evidence for Increasing in Terrestrial Evapotranspiration over the Contiguous United States from 2001 to 2022;Forests;2024-08-21