NatLabRockies/nsrdb
NSRDB data processing pipeline. Includes satellite data assimilation, cloud property prediction and gap-filling, radiative transport modeling, and data collection.
This tool helps solar energy project developers and researchers process satellite and other meteorological data to understand the solar radiation potential at specific locations. It takes raw satellite imagery and weather model inputs, then applies sophisticated physics and machine learning models to output high-quality, gap-filled solar irradiance data. Solar engineers, renewable energy analysts, and atmospheric scientists can use this to assess project viability or for climate research.
Use this if you need to calculate accurate, site-specific solar radiation values, especially in areas with missing or incomplete cloud and atmospheric data.
Not ideal if you only need very basic, broad-area solar data without detailed atmospheric or cloud analysis.
Stars
14
Forks
17
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 06, 2026
Commits (30d)
0
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