Global Validation of MODIS Near-Surface Air and Dew Point Temperatures-Reference-Cited by-同舟云学术

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Global Validation of MODIS Near-Surface Air and Dew Point Temperatures

Published:2018-04-30 Issue:15 Volume:45 Page:7772-7780
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophys. Res. Lett.

Author:

Famiglietti Caroline A.¹²^ORCID,Fisher Joshua B.²^ORCID,Halverson Gregory²³^ORCID,Borbas Eva E.⁴

Affiliation:

1. Department of Mathematics; University of California; Los Angeles CA USA

2. Jet Propulsion Laboratory; California Institute of Technology; Pasadena CA USA

3. Department of Geography and Environmental Studies; California State University; Northridge CA USA

4. Cooperative Institute for Meteorological Satellite Studies; University of Wisconsin-Madison; Madison WI USA

Funder

National Aeronautics and Space Administration

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2018GL077813/fullpdf

Reference54 articles.

1. Large area hydrologic modeling and assessment part I: Model development;Arnold;Journal of the American Water Resources Association,1998

2. AIRS/AMSU/HSB on the Aqua mission: Design, science objectives, data products, and processing systems;Aumann;IEEE Transactions on Geoscience and Remote Sensing,2003

3. Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: Past, present and future;Baldocchi;Global Change Biology,2003

4. FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities;Baldocchi;Bulletin of the American Meteorological Society,2001

5. Estimation of net radiation from the MODIS data under all sky conditions: Southern Great Plains case study;Bisht;Remote Sensing of Environment,2010

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2. Improved 30‐m Evapotranspiration Estimates Over 145 Eddy Covariance Sites in the Contiguous United States: The Role of ECOSTRESS, Harmonized Landsat Sentinel‐2 Imagery, Climate Reanalysis, and Deep Neural Network Postprocessing;Water Resources Research;2024-04

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