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Investigated the global patterns of temperature extremes

License: MIT License

JavaScript 67.28% Jupyter Notebook 32.72%
global pattern temperature google-cloud-platform javascript python

patterns-extreme-temperatures's Introduction

Extreme-Temperatures

Investigated the global patterns of hot and cold extremes as well as diurnal temperature range (DTR). 

Methodology described in the paper by Zhao, Yunxia, et al., 2021

Requirements

  1. The project was implemented and tested in Python 3.7. The higher versions should work after minor modification.
  2. Other common modules like numpy, scipy, mpl_toolkits, and matplotlib for visualization.
  3. Raw data were accessed through Google Earth Engine cloud computing platform with JavaScript.

Implementation Details

Data Preparation

The data can be accessed through Google Cloud Computing Platform.lease see the code in: 1-extract-global-temperature.js

Study global patterns of temperature extremes

2-plot-daily-extremes.ipynb
3-plot-global-extremes.ipynb
4-plot-histogram.ipynb

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