Evaluation of “all weather” microwave-derived land surface temperatures with in situ CEOP measurements

Author:

Catherinot J.,Prigent C.,Maurer R.,Papa F.,Jiménez C.,Aires F.,Rossow W. B.

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Earth-Surface Processes,Geochemistry and Petrology,Soil Science,Water Science and Technology,Ecology,Aquatic Science,Forestry,Oceanography,Geophysics

Reference34 articles.

1. Neural network uncertainty assessment using Bayesian statistics with application to remote sensing: 1. Network weights;Aires;J. Geophys. Res.,2004

2. A new neural network approach including first guess for retrieval of atmospheric water vapor, cloud liquid water path, surface temperature, and emissivities over land from satellite microwave observations;Aires;J. Geophys. Res.,2001

3. Neural network uncertainty assessment using Bayesian statistics with application to remote sensing: 2. Output errors;Aires;J. Geophys. Res.,2004

4. Neural network uncertainty assessment using Bayesian statistics with application to remote sensing: 3. Network Jacobians;Aires;J. Geophys. Res.,2004

5. 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

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