Dataset Open Access
A spatiotemporal reconstruction of daily ambient temperature using satellite data in the Megalopolis of Central Mexico from 2003–2019
Gutiérrez-Avila, Ivan; Arfer, Kodi B.; Wong, Sandy; Rush, Johnathan; Kloog, Itai; Just, Allan C.
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.
See the README at https://github.com/justlab/Mexico_temperature/blob/master/README.rst for more information and instructions, or see the publication at:
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. International Journal of Climatology, 41, 4095–4111. doi:10.1002/joc.7060
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geography.tar.gz
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ground.json.gz
md5:0a57083980d2ca66a78a641a4b6115f8 |
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manuscript_code_bits.txt
md5:382a0615454a606ec3f49a75677d7e80 |
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master_grid.h5
md5:3b1f3150151cdd0e2b904432fe2d968b |
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notebook.html
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predictions_2003.h5
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predictions_2004.h5
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predictions_2005.h5
md5:4961ee72685df351acea544a14d6ca04 |
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predictions_2006.h5
md5:90cf7c06739a8326aac432c9be5f830c |
37.2 MB | Download |
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predictions_2007.h5
md5:04b77cf3079de6fad0bddc8a8d79728a |
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predictions_2008.h5
md5:17c490689f20bf91a02571256d7bac35 |
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predictions_2009.h5
md5:7c9303521afaf499dc521e1f526e73d9 |
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predictions_2010.h5
md5:3ca749ac8d5ab48c073663f3b95614dc |
37.6 MB | Download |
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predictions_2011.h5
md5:8f900ee780e8b27647b1bb9971e53905 |
37.8 MB | Download |
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predictions_2012.h5
md5:f7b7a57d3c6beed85d172c3c362dab88 |
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predictions_2013.h5
md5:1d34e961e3cb2556eecc31ac0fbdf0aa |
37.5 MB | Download |
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predictions_2014.h5
md5:93ac9ecb1e4a08d1dc5453f819a3d061 |
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predictions_2015.h5
md5:ab82409e388a2a95b4f51562bfad64cf |
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predictions_2016.h5
md5:7ee8ef0ecfcb8591d85182208ed08c06 |
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predictions_2017.h5
md5:0a040d4d42e5cd6ca04292586c0d0b39 |
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predictions_2018.h5
md5:477dd8144919ce8908e359c45bd4925f |
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predictions_2019.h5
md5:251a4647ef3bc523916c17b10fefe994 |
37.7 MB | Download |
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stations.tar.gz
md5:46d4be0ec6747af0b40aa4f51b83bf1e |
8.6 GB | Download |
| All versions | This version | |
|---|---|---|
| Views | 651 | 83 |
| Downloads | 266 | 11 |
| Data volume | 122.6 GB | 104.7 MB |
| Unique views | 503 | 77 |
| Unique downloads | 155 | 11 |
- Publication date:
- February 16, 2021
- DOI:
-
- Related identifiers:
- Published in
- 10.1002/joc.7060 (Journal article)
- License (for files):
- GNU General Public License v3.0 or later