These codes are used to estimate trends of low-cloud fraction at the Tropical Mountain Cloud Forest. These are also used to estimate trends of other Essential Climatic Variables (ECVs).
The codes are the base of the manuscript 'Multi-decadal trends of low clouds at the Tropical Montane Cloud Forests' by Guzmán, Hamann, and Sánchez-Azofeifa.
Trends of low-cloud fraction and other ECVs were optioned from ERA5 through IBM PAIRS Geoscope using Python as an API platform. Then, statistics and figures were created locally using R or QGIS (Figure 1).
Here you will see three main folders: i) a 'python' folder, which contains the scripts for API access to IBM PAIRS Geoscope, ii) an 'R' folder, which contains scripts of the statistics applied in the manuscript, and iii) 'figures' folder that contains the scripts for visualization. A fourth folder of 'data' could be create as path for easy access to data to reproduce these codes. If you use these codes, please cite them in addition to the supporting manuscript.
The data used in this manuscript that accompany these codes are available at the Tropi-Dry Dataverse (https://doi.org/10.7910/DVN/A25Q8V). Please follow the instructions described there for proper citation of the data.
@codes{cloud_codes,
author = {Guzmán, J.A., Hamann, H. F., and Sánchez-Azofeifa, G.A.},
title = {Multi-decadal trends of low clouds at the Tropical Montane Cloud Forests},
month = abr,
year = 2023,
publisher = {Zenodo},
version = {v0.3},
doi = {10.5281/zenodo.6476817},
url = {https://doi.org/10.5281/zenodo.6476817}
}
@article{cloud_manuscript,
author = {Guzmán, J.A., Hamann, H. F., and Sánchez-Azofeifa, G.A.},
title = {Multi-decadal trends of low-clouds at the Tropical Montane Cloud Forests},
journal = {Ecological Indicators},
year = {2024},
volume = {158},
pages = {111599}
doi = {https://doi.org/10.1016/j.ecolind.2024.111599}
}
Please follow the instructions from Tropi-Dry Dataverse