A spatiotemporal reconstruction of daily ambient temperature using satellite data in the Megalopolis of Central Mexico from 2003–2019
<p>In this project, we built a model to predict the mean, maximum, and minimum temperature on each day at each square in a 1-km grid for an area around Mexico City.</p> <p>See the README at <a href="https://github.com/justlab/Mexico_temperature/blob/master/README.rst">https://github.com/justlab/Mexico_temperature/blob/master/README.rst</a> for more information and instructions, or see the publication at:</p> <p>Gutiérrez-Avila, I., Arfer, K. B., Wong, S., Rush, J., Kloog, I., & Just, A. C. (2021). A spatiotemporal reconstruction of daily ambient temperature using satellite data in the Megalopolis of Central Mexico from 2003–2019. <em>International Journal of Climatology, 41</em>, 4095–4111. <code>doi:10.1002/joc.7060</code></p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0