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, "A spatiotemporal reconstruction of daily ambient temperature using satellite data in the Megalopolis of Central Mexico from 2003–2019", 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.

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geography.tar.gz
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ground.json.gz
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manuscript_code_bits.txt
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master_grid.h5
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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
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predictions_2006.h5
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predictions_2007.h5
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predictions_2008.h5
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predictions_2009.h5
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predictions_2010.h5
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predictions_2011.h5
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predictions_2012.h5
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predictions_2013.h5
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predictions_2014.h5
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predictions_2015.h5
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predictions_2016.h5
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predictions_2017.h5
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predictions_2018.h5
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predictions_2019.h5
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stations.tar.gz
md5:46d4be0ec6747af0b40aa4f51b83bf1e
8.6 GB Download
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