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Main Author:	Mohammad Najim Nasimi
Format:	Recurso digital
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Published:	Zenodo 2025
Online Access:	https://doi.org/10.5281/zenodo.17623821
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author	Mohammad Najim Nasimi
author_facet	Mohammad Najim Nasimi
contents	<h2> PrecipGridder v2.0.0 - First Official Release</h2> <h3> Overview</h3> <p>PrecipGridder is a comprehensive Python tool for processing precipitation data from satellite products and reanalysis datasets. This release introduces grid merging capabilities, multiple interfaces, and support for 9 major precipitation products.</p> <h3>✨ Key Features</h3> <h4> ️ Supported Datasets</h4> <ul> <li><strong>CHIRPS</strong> - Climate Hazards InfraRed Precipitation with Stations</li> <li><strong>ERA5</strong> - ERA5-Land Reanalysis (automatic m to mm conversion)</li> <li><strong>MERRA-2</strong> - Modern-Era Retrospective Analysis (hourly to daily aggregation)</li> <li><strong>GPM IMERG</strong> - Calibrated & Uncalibrated (30-minute accumulation correction)</li> <li><strong>GSMaP</strong> - Global Satellite Mapping of Precipitation (Calibrated & Uncalibrated)</li> <li><strong>GLDAS</strong> - Global Land Data Assimilation System</li> <li><strong>PERSIANN</strong> - Precipitation Estimation from Remotely Sensed Information</li> </ul> <h4> Multiple Interfaces</h4> <ul> <li><strong> Python Package</strong> - Full installation with <code>pip install</code></li> <li><strong> Standalone Script</strong> - No installation required</li> <li><strong> ️ GUI Application</strong> - User-friendly graphical interface</li> </ul> <h4> New in v2.0.0</h4> <ul> <li>✅ <strong>Grid Merging</strong> - Combine multiple grid point CSV files</li> <li>✅ <strong>XGBoost Support</strong> - Perfect for ML prediction integration</li> <li>✅ <strong>GPM Correction</strong> - Automatic 30-minute accumulation handling</li> <li>✅ <strong>GEE Integration</strong> - Complete Google Earth Engine export scripts</li> <li>✅ <strong>Dual Output</strong> - Export to both CSV and NetCDF formats</li> </ul> <h3> Installation</h3> <h4>Quick Start (Standalone)</h4> <pre><code># Download and run directly python standalone/precipgridder_standalone.py chirps input.csv output.csv output.nc </code></pre> <h4>Package Installation</h4> <pre><code>pip install -e . # Or pip install precipgridder </code></pre> <h3> Documentation</h3> <ul> <li><a href="docs/QUICK_START.md">Quick Start Guide</a></li> <li><a href="docs/USER_GUIDE.md">User Guide</a></li> <li><a href="google-earth-engine/README.md">Google Earth Engine Guide</a></li> <li><a href="examples/">Examples</a></li> </ul> <h3> Usage Examples</h3> <h4>Single File Processing</h4> <pre><code>precipgridder chirps CHIRPS_data.csv output.csv output.nc </code></pre> <h4>Grid Merging</h4> <pre><code>precipgridder gridmerge /path/to/grid_files/ merged.csv merged.nc </code></pre> <h3> Sample Data</h3> <p>Sample CHIRPS data included in <code>examples/sample_chirps_data.csv</code> for testing.</p> <h3> Acknowledgments</h3> <ul> <li>Technical University of Munich for research support</li> <li>Google Earth Engine for data access platform</li> <li>Open-source community for foundational tools</li> </ul> <h3> Citation</h3> <p>If you use PrecipGridder in your research, please cite:</p> <pre><code>Nasimi, M.N. (2025). PrecipGridder: A comprehensive tool for processing precipitation data from satellite products. Version 2.0.0. https://doi.org/10.5281/zenodo.XXXXXXX </code></pre> <h3> Technical Details</h3> <ul> <li><strong>Language:</strong> Python 3.6+</li> <li><strong>Dependencies:</strong> pandas, xarray, netCDF4, numpy</li> <li><strong>License:</strong> MIT</li> <li><strong>Platform:</strong> Windows, Linux, macOS</li> </ul> <h3> Links</h3> <ul> <li><a href="https://github.com/mnasimi/precipgridder">Documentation</a></li> <li><a href="https://github.com/mnasimi/precipgridder/issues">Issue Tracker</a></li> <li><a href="https://pypi.org/project/precipgridder/">PyPI Package</a> (coming soon)</li> </ul> <p><strong>Full Changelog</strong>: This is the first official release</p>
format	Recurso digital
id	zenodo_https___doi_org_10_5281_zenodo_17623821
institution	Zenodo
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publishDate	2025
publisher	Zenodo
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spellingShingle	mnajimnasimi/PrecipGridder: PrecipGridder v2.0.0 - Comprehensive Precipitation Data Processing Tool Mohammad Najim Nasimi <h2> PrecipGridder v2.0.0 - First Official Release</h2> <h3> Overview</h3> <p>PrecipGridder is a comprehensive Python tool for processing precipitation data from satellite products and reanalysis datasets. This release introduces grid merging capabilities, multiple interfaces, and support for 9 major precipitation products.</p> <h3>✨ Key Features</h3> <h4> ️ Supported Datasets</h4> <ul> <li><strong>CHIRPS</strong> - Climate Hazards InfraRed Precipitation with Stations</li> <li><strong>ERA5</strong> - ERA5-Land Reanalysis (automatic m to mm conversion)</li> <li><strong>MERRA-2</strong> - Modern-Era Retrospective Analysis (hourly to daily aggregation)</li> <li><strong>GPM IMERG</strong> - Calibrated & Uncalibrated (30-minute accumulation correction)</li> <li><strong>GSMaP</strong> - Global Satellite Mapping of Precipitation (Calibrated & Uncalibrated)</li> <li><strong>GLDAS</strong> - Global Land Data Assimilation System</li> <li><strong>PERSIANN</strong> - Precipitation Estimation from Remotely Sensed Information</li> </ul> <h4> Multiple Interfaces</h4> <ul> <li><strong> Python Package</strong> - Full installation with <code>pip install</code></li> <li><strong> Standalone Script</strong> - No installation required</li> <li><strong> ️ GUI Application</strong> - User-friendly graphical interface</li> </ul> <h4> New in v2.0.0</h4> <ul> <li>✅ <strong>Grid Merging</strong> - Combine multiple grid point CSV files</li> <li>✅ <strong>XGBoost Support</strong> - Perfect for ML prediction integration</li> <li>✅ <strong>GPM Correction</strong> - Automatic 30-minute accumulation handling</li> <li>✅ <strong>GEE Integration</strong> - Complete Google Earth Engine export scripts</li> <li>✅ <strong>Dual Output</strong> - Export to both CSV and NetCDF formats</li> </ul> <h3> Installation</h3> <h4>Quick Start (Standalone)</h4> <pre><code># Download and run directly python standalone/precipgridder_standalone.py chirps input.csv output.csv output.nc </code></pre> <h4>Package Installation</h4> <pre><code>pip install -e . # Or pip install precipgridder </code></pre> <h3> Documentation</h3> <ul> <li><a href="docs/QUICK_START.md">Quick Start Guide</a></li> <li><a href="docs/USER_GUIDE.md">User Guide</a></li> <li><a href="google-earth-engine/README.md">Google Earth Engine Guide</a></li> <li><a href="examples/">Examples</a></li> </ul> <h3> Usage Examples</h3> <h4>Single File Processing</h4> <pre><code>precipgridder chirps CHIRPS_data.csv output.csv output.nc </code></pre> <h4>Grid Merging</h4> <pre><code>precipgridder gridmerge /path/to/grid_files/ merged.csv merged.nc </code></pre> <h3> Sample Data</h3> <p>Sample CHIRPS data included in <code>examples/sample_chirps_data.csv</code> for testing.</p> <h3> Acknowledgments</h3> <ul> <li>Technical University of Munich for research support</li> <li>Google Earth Engine for data access platform</li> <li>Open-source community for foundational tools</li> </ul> <h3> Citation</h3> <p>If you use PrecipGridder in your research, please cite:</p> <pre><code>Nasimi, M.N. (2025). PrecipGridder: A comprehensive tool for processing precipitation data from satellite products. Version 2.0.0. https://doi.org/10.5281/zenodo.XXXXXXX </code></pre> <h3> Technical Details</h3> <ul> <li><strong>Language:</strong> Python 3.6+</li> <li><strong>Dependencies:</strong> pandas, xarray, netCDF4, numpy</li> <li><strong>License:</strong> MIT</li> <li><strong>Platform:</strong> Windows, Linux, macOS</li> </ul> <h3> Links</h3> <ul> <li><a href="https://github.com/mnasimi/precipgridder">Documentation</a></li> <li><a href="https://github.com/mnasimi/precipgridder/issues">Issue Tracker</a></li> <li><a href="https://pypi.org/project/precipgridder/">PyPI Package</a> (coming soon)</li> </ul> <p><strong>Full Changelog</strong>: This is the first official release</p>
title	mnajimnasimi/PrecipGridder: PrecipGridder v2.0.0 - Comprehensive Precipitation Data Processing Tool
url	https://doi.org/10.5281/zenodo.17623821

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