Dataset Open Access
A spatiotemporal reconstruction of daily ambient temperature using satellite data in the Megalopolis of Central Mexico from 2003–2018
Gutiérrez-Avila, Ivan; Arfer, Kodi B.; Wong, Sandy; Rush, Johnathan; Kloog, Itai; Just, Allan C.
In this project, "A spatiotemporal reconstruction of daily ambient temperature using satellite data in the Megalopolis of Central Mexico from 2003–2018", 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.
Files
(11.0 GB)
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ground.json.gz
md5:f7d550c15c8303510cc1790fff32a5ea |
4.5 MB | Download |
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manuscript_code_bits.txt
md5:d47b4afb9b31d5fcdd260221d6b53294 |
16.5 kB | Download |
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master_grid.h5
md5:fc27b5ba980dc5ead9dd6a68417d113f |
3.2 MB | Download |
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notebook.html
md5:00f94834266ab62271efa3a82372d506 |
913.6 kB | Download |
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predictions_2003.h5
md5:5f990949f15558db4da576a97caa2bef |
185.0 MB | Download |
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predictions_2004.h5
md5:7ae7a3474d7940141bf5011040338511 |
185.5 MB | Download |
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predictions_2005.h5
md5:54b76b4bfe879360ed18b747bbc9cf36 |
184.8 MB | Download |
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predictions_2006.h5
md5:caa4ac5915a918c38ba10f3326c4bb5a |
185.1 MB | Download |
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predictions_2007.h5
md5:60dc288f500e189058dfc7b72bf54ad1 |
184.9 MB | Download |
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predictions_2008.h5
md5:8f9098fb016b8167ea0cce4eb96b7504 |
185.8 MB | Download |
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predictions_2009.h5
md5:06a1e81444027b87f1fcb270f85ccf29 |
184.8 MB | Download |
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predictions_2010.h5
md5:f6a197be60044a1bc7f570e31afc0cc1 |
185.3 MB | Download |
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predictions_2011.h5
md5:d4a588eef0e40d865e37c0c1feb1d3c3 |
185.2 MB | Download |
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predictions_2012.h5
md5:3f256c11b06375832b43d03028d09e7c |
185.6 MB | Download |
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predictions_2013.h5
md5:184515b7ee9fa6fa05eacd8bad4cfe5c |
185.1 MB | Download |
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predictions_2014.h5
md5:79007f1799366520ceb2ad7ebd0d992b |
185.1 MB | Download |
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predictions_2015.h5
md5:4b4d6592918221a0e1bee096b8ad0f7a |
184.9 MB | Download |
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predictions_2016.h5
md5:73f3d7a4afee801638562f3f36bfb0b9 |
185.6 MB | Download |
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predictions_2017.h5
md5:24df29a59e6f8d6e43bf9c14c81fff7c |
185.2 MB | Download |
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predictions_2018.h5
md5:efb2bbcf8f73c3e0b6415532d13c9633 |
185.0 MB | Download |
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stations.tar.gz
md5:934eb29e12b695d2aa0c27aab2d601dd |
8.0 GB | Download |
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downloads
| All versions | This version | |
|---|---|---|
| Views | 403 | 287 |
| Downloads | 160 | 135 |
| Data volume | 85.4 GB | 68.8 GB |
| Unique views | 307 | 230 |
| Unique downloads | 61 | 44 |
Indexed in
- Publication date:
- July 28, 2019
- DOI:
-
- License (for files):
- GNU General Public License v3.0 or later