U.S. Department of EnergyOffice of Scientific and Technical Information
Radiative Flux Analysis
Abstract
The Radiative Flux Analysis is a technique for using surface broadband radiation measurements for detecting periods of clear (i.e. cloudless) skies, and using the detected clear-sky data to fit functions which are then used to produce continuous clear-sky estimates. The clear-sky estimates and measurements are then used in various ways to infer cloud macrophysical properties.
- Authors:
-
- NOAA
- Publication Date:
- DOE Contract Number:
- DE-AC05-00OR22725
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Archive
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Collaborations:
- PNL, BNL,ANL,ORNL
- Subject:
- 54 Environmental Sciences
- Keywords:
- Longwave narrowband brightness temperature; Cloud fraction; Cloud optical depth; Longwave broadband downwelling irradiance; Longwave broadband upwelling irradiance; Shortwave broadband diffuse downwelling irradiance; Shortwave broadband direct downwelling irradiance; Shortwave broadband total downwelling irradiance
- OSTI Identifier:
- 1169528
- DOI:
- https://doi.org/10.5439/1169528
Citation Formats
Long, Chuck. Radiative Flux Analysis. United States: N. p., 2008.
Web. doi:10.5439/1169528.
Long, Chuck. Radiative Flux Analysis. United States. doi:https://doi.org/10.5439/1169528
Long, Chuck. 2008.
"Radiative Flux Analysis". United States. doi:https://doi.org/10.5439/1169528. https://www.osti.gov/servlets/purl/1169528. Pub date:Wed May 14 00:00:00 EDT 2008
@article{osti_1169528,
title = {Radiative Flux Analysis},
author = {Long, Chuck},
abstractNote = {The Radiative Flux Analysis is a technique for using surface broadband radiation measurements for detecting periods of clear (i.e. cloudless) skies, and using the detected clear-sky data to fit functions which are then used to produce continuous clear-sky estimates. The clear-sky estimates and measurements are then used in various ways to infer cloud macrophysical properties.},
doi = {10.5439/1169528},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2008},
month = {5}
}