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| Natura: | Recurso digital |
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Zenodo
2026
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| Accesso online: | https://doi.org/10.5281/zenodo.18485266 |
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| _version_ | 1866901918076370944 |
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| author | ao, ks |
| author_facet | ao, ks |
| contents | <p>## Code Overview<br>This repository contains all data analysi and plotting scripts,as well as the TropFlux data for the research paper titled "Evaluating Interannual Variability and Trends of Surface Heat Flux over the Tropical Indian Ocean across Diverse Products" . The code is used to reproduce the key computational results and figures (Figures 1-11) presented in the manuscript.</p> <p>## File Descriptions<br>The repository consists of two main Python scripts, organized as follows:</p> <p>Figures 1-4.py</p> <p>Figures 5-11.py<br>May include analyses such as multi-product comparisons.</p> <p>## Runtime Environment & Dependencies<br>Programming Language: Python 3<br>Core Python Libraries:<br> `xarray`, `netCDF4` (for handling NetCDF-formatted ocean/climate data)<br> `numpy`, `scipy` (for scientific computing and statistical analysis)<br> `matplotlib`, `cartopy` (for creating figures and geographic projections)<br> `pandas` (for data manipulation)</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18485266 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Evaluating Interannual Variability and Trends of Surface Heat Flux over the Tropical Indian Ocean across Diverse Products ao, ks <p>## Code Overview<br>This repository contains all data analysi and plotting scripts,as well as the TropFlux data for the research paper titled "Evaluating Interannual Variability and Trends of Surface Heat Flux over the Tropical Indian Ocean across Diverse Products" . The code is used to reproduce the key computational results and figures (Figures 1-11) presented in the manuscript.</p> <p>## File Descriptions<br>The repository consists of two main Python scripts, organized as follows:</p> <p>Figures 1-4.py</p> <p>Figures 5-11.py<br>May include analyses such as multi-product comparisons.</p> <p>## Runtime Environment & Dependencies<br>Programming Language: Python 3<br>Core Python Libraries:<br> `xarray`, `netCDF4` (for handling NetCDF-formatted ocean/climate data)<br> `numpy`, `scipy` (for scientific computing and statistical analysis)<br> `matplotlib`, `cartopy` (for creating figures and geographic projections)<br> `pandas` (for data manipulation)</p> |
| title | Evaluating Interannual Variability and Trends of Surface Heat Flux over the Tropical Indian Ocean across Diverse Products |
| url | https://doi.org/10.5281/zenodo.18485266 |