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Title: Adjoint Sensitivity Analysis of FARMS for Forecasting Variables of WRF-Solar

Abstract

This poster provides an overview of adjoint sensitivity analysis of FARMS for forecasting variables of WRF-solar.

Authors:
 [1]; ORCiD logo [1];  [1];  [2];  [2]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  2. National Center for Atmospheric Research
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
OSTI Identifier:
1562446
Report Number(s):
NREL/PO-5D00-74092
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2019 Joint WRF/MPAS User's Workshop, 10-14 June 2019, Boulder, Colorado
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; 29 ENERGY PLANNING, POLICY, AND ECONOMY; Fast All-Sky Radiation Model for Solar Applications; FARMS; solar; adjoint modeling; weather research and forecasting; WRF

Citation Formats

Yang, Jaemo, Sengupta, Manajit, Xie, Yu, Jimenez, Pedro A., and Kim, Ju-Hye. Adjoint Sensitivity Analysis of FARMS for Forecasting Variables of WRF-Solar. United States: N. p., 2019. Web.
Yang, Jaemo, Sengupta, Manajit, Xie, Yu, Jimenez, Pedro A., & Kim, Ju-Hye. Adjoint Sensitivity Analysis of FARMS for Forecasting Variables of WRF-Solar. United States.
Yang, Jaemo, Sengupta, Manajit, Xie, Yu, Jimenez, Pedro A., and Kim, Ju-Hye. Tue . "Adjoint Sensitivity Analysis of FARMS for Forecasting Variables of WRF-Solar". United States. https://www.osti.gov/servlets/purl/1562446.
@article{osti_1562446,
title = {Adjoint Sensitivity Analysis of FARMS for Forecasting Variables of WRF-Solar},
author = {Yang, Jaemo and Sengupta, Manajit and Xie, Yu and Jimenez, Pedro A. and Kim, Ju-Hye},
abstractNote = {This poster provides an overview of adjoint sensitivity analysis of FARMS for forecasting variables of WRF-solar.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {9}
}

Conference:
Other availability
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