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Title: three-dimensional constrained variational analysis

Abstract

This is a dataset from three-dimensional constrained variational analysis (3DCVA). It can be used to generate large-scale forcing data for SCM/CRM/LES, or evaluate model results.

Authors:
ORCiD logo
Publication Date:
DOE Contract Number:  
DE-AC05-00OR22725
Product Type:
Dataset
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Archive; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Subject:
54 Environmental Sciences
Keywords:
single-column model; large-scale forcing; constrained variational analysis
OSTI Identifier:
1491785
DOI:
https://doi.org/10.5439/1491785

Citation Formats

Tang, Shuaiqi. three-dimensional constrained variational analysis. United States: N. p., 2019. Web. doi:10.5439/1491785.
Tang, Shuaiqi. three-dimensional constrained variational analysis. United States. doi:https://doi.org/10.5439/1491785
Tang, Shuaiqi. 2019. "three-dimensional constrained variational analysis". United States. doi:https://doi.org/10.5439/1491785. https://www.osti.gov/servlets/purl/1491785. Pub date:Fri May 31 00:00:00 EDT 2019
@article{osti_1491785,
title = {three-dimensional constrained variational analysis},
author = {Tang, Shuaiqi},
abstractNote = {This is a dataset from three-dimensional constrained variational analysis (3DCVA). It can be used to generate large-scale forcing data for SCM/CRM/LES, or evaluate model results.},
doi = {10.5439/1491785},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {5}
}