U.S. Department of EnergyOffice of Scientific and Technical Information
Dataset used to improve liquid water absorption models in the microwave
Abstract
Two datasets, one a compilation of laboratory data and one a compilation from three field sites, are provided here. These datasets provide measurements of the real and imaginary refractive indices and absorption as a function of cloud temperature. These datasets were used in the development of the new liquid water absorption model that was published in Turner et al. 2015.
- Authors:
- 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:
- liquid water absorption, liquid water temperature, fkb, smt
- OSTI Identifier:
- 1228766
- DOI:
- https://doi.org/10.5439/1228766
Citation Formats
Turner, David. Dataset used to improve liquid water absorption models in the microwave. United States: N. p., 2015.
Web. doi:10.5439/1228766.
Turner, David. Dataset used to improve liquid water absorption models in the microwave. United States. doi:https://doi.org/10.5439/1228766
Turner, David. 2015.
"Dataset used to improve liquid water absorption models in the microwave". United States. doi:https://doi.org/10.5439/1228766. https://www.osti.gov/servlets/purl/1228766. Pub date:Mon Dec 14 00:00:00 EST 2015
@article{osti_1228766,
title = {Dataset used to improve liquid water absorption models in the microwave},
author = {Turner, David},
abstractNote = {Two datasets, one a compilation of laboratory data and one a compilation from three field sites, are provided here. These datasets provide measurements of the real and imaginary refractive indices and absorption as a function of cloud temperature. These datasets were used in the development of the new liquid water absorption model that was published in Turner et al. 2015.},
doi = {10.5439/1228766},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {12}
}
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