National Climate Database (NCDB)
The National Climate Database (NCDB) is a high resolution, bias-corrected climate dataset consisting of the three most widely used variables of solar radiation- global horizontal (GHI), direct normal (DNI), and diffuse horizontal irradiance (DHI)- as well as other meteorological data. The goal of the NCDB is to provide unbiased high temporal and spatial resolution climate data needed for renewable energy modeling.
The NCDB is modeled using a statistical downscaling approach with Regional Climate Model (RCM)-based climate projections obtained from the North American Coordinated Regional Climate Downscaling Experiment (NA-CORDEX; linked below). Daily climate projections simulated by the Canadian Regional Climate Model 4 (CanRCM4) forced by the second-generation Canadian Earth System Model (CanESM2) for two Representative Concentration Pathways (RCP4.5 or moderate emissions scenario and RCP8.5 or highest baseline emission scenario) are selected as inputs to the statistical downscaling models. The National Solar Radiation Database (NSRDB) is used to build and calibrate statistical models.
Citation Formats
TY - DATA
AB - The National Climate Database (NCDB) is a high resolution, bias-corrected climate dataset consisting of the three most widely used variables of solar radiation- global horizontal (GHI), direct normal (DNI), and diffuse horizontal irradiance (DHI)- as well as other meteorological data. The goal of the NCDB is to provide unbiased high temporal and spatial resolution climate data needed for renewable energy modeling.
The NCDB is modeled using a statistical downscaling approach with Regional Climate Model (RCM)-based climate projections obtained from the North American Coordinated Regional Climate Downscaling Experiment (NA-CORDEX; linked below). Daily climate projections simulated by the Canadian Regional Climate Model 4 (CanRCM4) forced by the second-generation Canadian Earth System Model (CanESM2) for two Representative Concentration Pathways (RCP4.5 or moderate emissions scenario and RCP8.5 or highest baseline emission scenario) are selected as inputs to the statistical downscaling models. The National Solar Radiation Database (NSRDB) is used to build and calibrate statistical models.
AU - Yang, Jaemo
A2 - Sengupta, Manajit
A3 - Habte, Aron
A4 - Xie, Yu
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.25984/2460455
KW - energy
KW - power
KW - solar
KW - wind
KW - temperature
KW - GHI
KW - DNI
KW - DHI
KW - climate
KW - downscaling
KW - high-resolution
KW - data
KW - CONUS
KW - solar resource
KW - statistical downscaling
KW - solar energy
KW - RCP
KW - NCDB
KW - climate scenarios
KW - model
KW - dataset
KW - meteorology
KW - emissions
KW - code
KW - python
LA - English
DA - 2024/09/30
PY - 2024
PB - National Renewable Energy Laboratory (NREL)
T1 - National Climate Database (NCDB)
UR - https://doi.org/10.25984/2460455
ER -
Yang, Jaemo, et al. National Climate Database (NCDB). National Renewable Energy Laboratory (NREL), 30 September, 2024, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/2460455.
Yang, J., Sengupta, M., Habte, A., & Xie, Y. (2024). National Climate Database (NCDB). [Data set]. Open Energy Data Initiative (OEDI). National Renewable Energy Laboratory (NREL). https://doi.org/10.25984/2460455
Yang, Jaemo, Manajit Sengupta, Aron Habte, and Yu Xie. National Climate Database (NCDB). National Renewable Energy Laboratory (NREL), September, 30, 2024. Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/2460455
@misc{OEDI_Dataset_6163,
title = {National Climate Database (NCDB)},
author = {Yang, Jaemo and Sengupta, Manajit and Habte, Aron and Xie, Yu},
abstractNote = {The National Climate Database (NCDB) is a high resolution, bias-corrected climate dataset consisting of the three most widely used variables of solar radiation- global horizontal (GHI), direct normal (DNI), and diffuse horizontal irradiance (DHI)- as well as other meteorological data. The goal of the NCDB is to provide unbiased high temporal and spatial resolution climate data needed for renewable energy modeling.
The NCDB is modeled using a statistical downscaling approach with Regional Climate Model (RCM)-based climate projections obtained from the North American Coordinated Regional Climate Downscaling Experiment (NA-CORDEX; linked below). Daily climate projections simulated by the Canadian Regional Climate Model 4 (CanRCM4) forced by the second-generation Canadian Earth System Model (CanESM2) for two Representative Concentration Pathways (RCP4.5 or moderate emissions scenario and RCP8.5 or highest baseline emission scenario) are selected as inputs to the statistical downscaling models. The National Solar Radiation Database (NSRDB) is used to build and calibrate statistical models.},
url = {https://data.openei.org/submissions/6163},
year = {2024},
howpublished = {Open Energy Data Initiative (OEDI), National Renewable Energy Laboratory (NREL), https://doi.org/10.25984/2460455},
note = {Accessed: 2025-04-25},
doi = {10.25984/2460455}
}
https://dx.doi.org/10.25984/2460455
Details
Data from Sep 30, 2024
Last updated Oct 9, 2024
Submitted Aug 29, 2024
Organization
National Renewable Energy Laboratory (NREL)
Contact
Manajit Sengupta
Authors
Research Areas
Keywords
energy, power, solar, wind, temperature, GHI, DNI, DHI, climate, downscaling, high-resolution, data, CONUS, solar resource, statistical downscaling, solar energy, RCP, NCDB, climate scenarios, model, dataset, meteorology, emissions, code, pythonDOE Project Details
Project Name NSRDB
Project Number 38406
