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The Hourly GHI, DHI and DNI: Intercomparison of the CERES-Based Data and the NSRDB Data through Comparison with the Ground-Based BSRN DataThe NASA Clouds and the Earth’s Radiant Energy System (CERES) SYN1deg(Ed4.1) provides hourly global horizontal irradiance (GHI), diffuse horizontal irradiance (DHI) and direct horizontal irradiance (DirHI) at 1-degree latitude by 1-degree longitude resolution, and the time span is from March 2000 to near present. While the GHI agrees well with the ground-based Baseline Surface Radiation Network (BSRN) data, the DHI and DirHI are, respectively, positively and negatively biased against the BSRN data, and so is the direct normal irradiance (DNI) derived simply by dividing the DirHI by the cosine of the hourly solar zenith angle (SZA). We found that the biases tend to be well-defined functions of cos(SZA) and the cloud fraction (CLFR). We thus performed a bias-correction on the hourly DHI and DNI in the latitude-cos(SZA)-CLFR phase space, and therefrom, we derived the hourly global tilted irradiance (GTI) at a number of tilt angles using the isotropic diffuse irradiance model, and the results agree well with the GTI derived from the original BSRN near-instantaneous records. Meanwhile, the National Renewable Energy Laboratory (NREL) has produced the National Solar Radiation Database (NSRDB) with finer spatiotemporal resolution using its Physical Solar Model (PSM) and surface-based measured data, model results and satellite-based data as inputs. Now the NSRDB data covers not only the United States and its neighboring regions, but Europe, Africa, Asia and Oceania. The available temporal resolutions are 5, 10, 15, 30 and 60 minutes and the spatial resolutions are 2, 4 and 10 km, depending on the selected region. In this presentation, we compare both the CERES-based and NSRDB GHI, DHI and DNI with their BSRN counterparts and show how finer spatial resolution may give us an advantage in data accuracy and usability.
Document ID
20240014272
Acquisition Source
Langley Research Center
Document Type
Poster
Authors
Taiping Zhang
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Paul W Stackhouse Jr
(Langley Research Center Hampton, Virginia, United States)
Bradley Macpherson
(Booz Allen Hamilton (United States) Tysons Corner, Virginia, United States)
J Colleen Mikovitz
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Date Acquired
November 11, 2024
Subject Category
Earth Resources and Remote Sensing
Meeting Information
Meeting: AGU Fall Meeting
Location: Washington, D.C.
Country: US
Start Date: December 9, 2024
End Date: December 13, 2024
Sponsors: American Geophysical Union
Funding Number(s)
CONTRACT_GRANT: 80JSC019A0001
WBS: C3.13.00173.001
CONTRACT_GRANT: 80LARC23DA003
Distribution Limits
Public
Copyright
Public Use Permitted.
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