Evaluating urban greening scenarios for urban heat mitigation: a spatially-explicit approach

Materials to reproduce the results of the paper "Evaluating urban greening scenarios for urban heat mitigation: a spatially-explicit approach". Detailed instructions of the steps to reproduce the results can be found in the `README.md` of github.com/martibosch/lausanne-greening-scenarios.

Citation

Bosch, M., Locatelli, M., Hamel, P., Jaligot, R., Chenal, J., and Joost, S. 2020. "Evaluating urban greening scenarios for urban heat mitigation: a spatially-explicit approach". Preprint available at bioRxiv. 10.1101/2020.11.09.373779

If using any of the following files, the sources must be acknowledged accordingly:

• `invest-calibrated-params.json`: based on the calibration by Bosch et al. [1].
• `ref-et.tif`: obtained using the minimum, average and maximum temperature datasets of the copyrighted Spatial Climate Analyses of MeteoSwiss [2].
• `station-t.csv`: the temperature observations correspond to monitoring stations operated by Agrometeo, the Federal roads office (ASTRA), the Federal office for the environment (BAFU), the General directorate for the environment of the Canton of Vaud (DGE), and the Federal Institute of Forest, Snow and Landscape Research (WSL) [3]. See the file `station-locations.csv` for more details.

Acknowledgments

• With the support of the École Polytechnique Fédérale de Lausanne (EPFL)

References

1. Bosch, M., Locatelli, M., Hamel, P., Remme, R. P., Chenal, J., and Joost, S. 2020. "A spatially-explicit approach to simulate urban heat islands in complex urban landscapes". Under review in Geoscientific Model Development. 10.5194/gmd-2020-174
2. Frei, C., 2014. Interpolation of temperature in a mountainous region using nonlinear profiles and non‐Euclidean distances. International Journal of Climatology, 34(5), pp.1585-1605. 10.1002/joc.3786
3. Rebetez, M., von Arx, G., Gessler, A., Pannatier, E.G., Innes, J.L., Jakob, P., Jetel, M., Kube, M., Nötzli, M., Schaub, M. and Schmitt, M., 2018. Meteorological data series from Swiss long-term forest ecosystem research plots since 1997. Annals of Forest Science, 75(2), p.41. 10.1007/s13595-018-0709-7