ncPick: A Lightweight Toolkit for Extracting, Analyzing, and Visualizing ECMWF ERA5 NetCDF Data
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| Published in: | Data vol. 10, no. 11 (2025), p. 178-188 |
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| Main Author: | |
| Other Authors: | , , |
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MDPI AG
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| Online Access: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 001 | 3275509338 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2306-5729 | ||
| 024 | 7 | |a 10.3390/data10110178 |2 doi | |
| 035 | |a 3275509338 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a Sreten, Jevremović | |
| 245 | 1 | |a <i>ncPick</i>: A Lightweight Toolkit for Extracting, Analyzing, and Visualizing ECMWF ERA5 NetCDF Data | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis v5 (ERA5) datasets provide a rich source of climatological data. However, their Network Common Data Form (NetCDF) structure can be a barrier for researchers who are not experienced with specialized data tools or programming languages. To address this challenge, we developed ncPick, a lightweight, Windows-based application designed to make ERA5 data more accessible and easier to use. The software enables users to load NetCDF files, select points of interest manually or through shapefiles, and export the data directly to Comma-separated values (CSV) format for further processing in common tools such as Excel, R, or within ncPick itself. Additional modules allow for quick visualization, descriptive statistics, interpolation, and the generation of time-of-day heatmaps, as well as practical data handling functions such as merging and downsampling CSV files based on the time-axis. Validation tests confirmed that ncPick outputs are consistent with those from established tools (such as Panoply). The toolkit was found to be stable across different Windows systems and suitable for a range of datasets. While it has limitations with very large files and does not include automated data download for version 1 of the software, ncPick offers an accessible solution for researchers, students, and other professionals seeking a reliable and intuitive way to work with ERA5 NetCDF data. | |
| 653 | |a Machine learning | ||
| 653 | |a Datasets | ||
| 653 | |a Accessibility | ||
| 653 | |a Software packages | ||
| 653 | |a Toolkits | ||
| 653 | |a Exports | ||
| 653 | |a Interpolation | ||
| 653 | |a Windows (computer programs) | ||
| 653 | |a Programming languages | ||
| 653 | |a Traffic control | ||
| 653 | |a Researchers | ||
| 653 | |a Python | ||
| 653 | |a Weather forecasting | ||
| 653 | |a Visualization | ||
| 653 | |a Software | ||
| 653 | |a Time of use | ||
| 700 | 1 | |a Arnaut Filip | |
| 700 | 1 | |a Kolarski Aleksandra | |
| 700 | 1 | |a Srećković, Vladimir A | |
| 773 | 0 | |t Data |g vol. 10, no. 11 (2025), p. 178-188 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3275509338/abstract/embedded/Y2VX53961LHR7RE6?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3275509338/fulltextwithgraphics/embedded/Y2VX53961LHR7RE6?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3275509338/fulltextPDF/embedded/Y2VX53961LHR7RE6?source=fedsrch |