API Client for NASA POWER Global Meteorology, Surface Solar Energy and Climatology in R
Download meteorological data from NASA POWER using a simple Python API client (https://power.larc.nasa.gov/).
Simple Python script to download historical meteorological data records from 1981 to today for any place on Earth from Nasa Power: https://power.larc.nasa.gov/data-access-viewer/
Bot for downloading Solar irradiance data at target locations and region surrounded it.
Official code for arXiv:2604.11807 - Physics-Informed State Space Models for Off-Grid Solar Forecasting
Instantly estimate soil water loss worldwide!
☀️ Analyze NASA POWER solar irradiance data with a professional Python toolkit for accurate assessments in climate research and renewable energy.
Professional Python toolkit for analyzing NASA POWER satellite-derived solar irradiance data with multi-language support, document export capabilities, and comprehensive statistical analysis features
Solar Radiation Prediction from NASA POWER data Ver.2
Automate the downloading and merging process from NASA POWER dataset
Official code: Physics-Informed Cross-Attention Networks for Solar Irradiance Forecasting with Dual Self+Cross Attention
Official code for arXiv:2604.13455 - Physics-Guided CNN-BiLSTM for Solar Irradiance Forecasting
This program aims to develop a solar potential map of India.
Project analyzing the relationship between El Niño weather patterns and cocoa futures market volatility using NASA satellite data and financial market analysis.
Official code for arXiv:2604.11909 - Thermodynamic Liquid Manifold Networks for Autonomous Microgrids
Web interactiva que muestra datos históricos y probabilidades climáticas de cualquier ubicación usando NASA Power, con resúmenes generados por IA para mejor entendimiento.
Wind vs. Solar LCOE feasibility analysis at a real Ankara site (METU K1) using live PVGIS & NASA POWER APIs, DCF modelling, and 2026 Turkish market data
Interactive web app for rainfall prediction using a dual-transform stacked ensemble (LightGBM + XGBoost + CatBoost + Ridge) on NASA/POWER MERRA-2 data. Daily uploads also get monthly predictions.
Verification study comparing ERA5/ERA5Land reanalysis and NASA POWER satellite data against surface observations for meteorological and radiation variables (AI assisted).
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