GoAmazon2014/5 Rain Rates from the SIPAM Manaus S-band Radar
Abstract
Two years of volumetric radar observations acquired during the GoAmazon2014/5 field campaign by the SIPAM S-band radar in Manaus, Brazil were used to create rain rate estimates from radar reflectivity by Texas A&M University. Estimates of rain rates were generated using radar reflectivity data from the 2.5 km level and a Z-R relationship of Z=174.8*R^1.56.
- 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:
- GoAmazon; Manaus; rain rates
- OSTI Identifier:
- 1459578
- DOI:
- https://doi.org/10.5439/1459578
Citation Formats
Schumacher, Courtney, and Funk, Aaron. GoAmazon2014/5 Rain Rates from the SIPAM Manaus S-band Radar. United States: N. p., 2018.
Web. doi:10.5439/1459578.
Schumacher, Courtney, & Funk, Aaron. GoAmazon2014/5 Rain Rates from the SIPAM Manaus S-band Radar. United States. doi:https://doi.org/10.5439/1459578
Schumacher, Courtney, and Funk, Aaron. 2018.
"GoAmazon2014/5 Rain Rates from the SIPAM Manaus S-band Radar". United States. doi:https://doi.org/10.5439/1459578. https://www.osti.gov/servlets/purl/1459578. Pub date:Fri Apr 27 00:00:00 EDT 2018
@article{osti_1459578,
title = {GoAmazon2014/5 Rain Rates from the SIPAM Manaus S-band Radar},
author = {Schumacher, Courtney and Funk, Aaron},
abstractNote = {Two years of volumetric radar observations acquired during the GoAmazon2014/5 field campaign by the SIPAM S-band radar in Manaus, Brazil were used to create rain rate estimates from radar reflectivity by Texas A&M University. Estimates of rain rates were generated using radar reflectivity data from the 2.5 km level and a Z-R relationship of Z=174.8*R^1.56.},
doi = {10.5439/1459578},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {4}
}
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