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Evaluation of climate change scenarios SSP2-4.5, SSP3-7.0, SPP5-8.5 and bioclimatic projections using Global Climate Models (GCM) CCma-CanESM2, MOHC-HadGEM2-ES and MIROC-MIROC5 in ArcGIS API for Python and ArcGIS Maps SDK for JavaScript.

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CarlosMendez1997Col/Evaluation-of-Climate-Change-Scenarios-Using-Global-Climate-Models

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Evaluate climate change using ArcGIS API for Python and ArcGIS Maps SDK for JavaScript

Use and install this repository

HTTPS

https://github.com/CarlosMendez1997Col/Evaluate-climate-change-using-ArcGIS-API-for-Python-and-ArcGIS-Maps-SDK-for-JavaScript.git

GitHub CLI

gh repo clone CarlosMendez1997Col/Evaluate-climate-change-using-ArcGIS-API-for-Python-and-ArcGIS-Maps-SDK-for-JavaScript

Description

Repository built in Arcgis for Python and ArcGIS Maps SDK for JavaScript.

Each chapter is described below:

  1. The first chapter, geoprocessing NetCDF files and convert them to CRF (Cloud Raster Format).
https://github.com/CarlosMendez1997Col/Evaluate-climate-change-using-ArcGIS-API-for-Python-and-ArcGIS-Maps-SDK-for-JavaScript/tree/main/1.%20Geoprocessing%20NetCDF%20data
  1. The second chapter, analyze trends/patterns and calculate Multidimensional Anomaly, Trend Raster and Predict Using Trend Raster.
https://github.com/CarlosMendez1997Col/Evaluate-climate-change-using-ArcGIS-API-for-Python-and-ArcGIS-Maps-SDK-for-JavaScript/tree/main/2.%20Analysis%20of%20trends%20and%20patterns%20using%20multidimensional%20data
  1. The third chapter, shows some animations and timelines of 19 Bioclimate Projections of WorldClim using ArcGIS Maps SDK for JavaScript.
https://github.com/CarlosMendez1997Col/Evaluate-climate-change-using-ArcGIS-API-for-Python-and-ArcGIS-Maps-SDK-for-JavaScript/tree/main/3.%20Animations%20and%20timeline%20of%20climate%20projections
  1. The fourth chapter, share the links of original NetCDF files.
https://github.com/CarlosMendez1997Col/Evaluate-climate-change-using-ArcGIS-API-for-Python-and-ArcGIS-Maps-SDK-for-JavaScript/tree/main/4.%20Data%20and%20files

Prerequisites and libraries

ArcGIS API for Python

import arcpy
import datetime as dt
import os
import arcgis
import NetCDF4
import csv

# Arcpy
from arcpy.ia import*

# arcgis
from arcgis.gis import GIS
from arcgis.raster import *
from arcgis.raster.functions import *
from arcgis.raster.analytics import *

ArcGIS Maps SDK for JavaScript

<script>
    require([
      "esri/Map",
      "esri/views/MapView",
      "esri/layers/ImageryTileLayer",
      "esri/layers/support/DimensionalDefinition",
      "esri/layers/support/MultidimensionalSubset",    
      "esri/widgets/Slider",
      "esri/widgets/TimeSlider",
      "esri/widgets/Legend",
      "esri/request",
      "esri/Color",
      "esri/widgets/LayerList",
      "esri/widgets/Expand",
      "esri/layers/TileLayer",
      "esri/layers/BaseTileLayer", 
       "esri/Basemap",
       ], 
            (Map, MapView, ImageryTileLayer, DimensionalDefinition, MultidimensionalSubset,
            Slider,TimeSlider, Legend, esriRequest, Color,LayerList, Expand, TileLayer, BaseTileLayer,Basemap) =>  
<script>

Versions and releases

Version 1.0

https://github.com/CarlosMendez1997Col/Evaluate-climate-change-using-ArcGIS-API-for-Python-and-ArcGIS-Maps-SDK-for-JavaScript/releases

Data acquisition and download

The data used in this program come from the Coordinated Regional Downscaling Experiment (CORDEX) Website and the World Climate Research Program (WCRP), using the CCCma-CanESM2, MOHC-HadGEM2-ES and MIROC-MIROC5 models.

Item Precipitation 2021-2030 SAM Near Surface Air Temperature 2021-2030 SAM
Project CORDEX CORDEX
Product output output
Domain SAM-20 SAM-20
Institute INPE INPE
Driving Model CCCma-CanESM2 (1), MIROC-MIROC5 (1) and MOHC-HadGEM2-ES (1) CCCma-CanESM2 (1), MIROC-MIROC5 (1) and MOHC-HadGEM2-ES (1)
Experiment rcp45 rcp45
Experiment Family RCP RCP
Ensemble r1i1p1 r1i1p1
RCM Model Eta Eta
Downscaling Realisation v1 v1
Bias Adjustment None None
Time Frequency mon mon
Variable pr tas
Variable Long Name Precipitation Near-Surface Air Temperature
CF Satandard Name precipitation flux air temperature
Datanode esg-dn1.nsc.liu.se esg-dn1.nsc.liu.se

CCMa-CanESM2 Model Model CCCma-CanESM2 information

MOHC-HadGEM2-ES Model Model MOHC-HadGEM2-ES information

MIROC-MIROC5 Model Model MIROC-MIROC5 information

Credits and more information

Conflict of Interest.

The author declare that there is no conflict of interest in the publication of this data and have approved it for publication.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

MIT License

Copyright (c) 2025 Carlos Mendez

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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Evaluation of climate change scenarios SSP2-4.5, SSP3-7.0, SPP5-8.5 and bioclimatic projections using Global Climate Models (GCM) CCma-CanESM2, MOHC-HadGEM2-ES and MIROC-MIROC5 in ArcGIS API for Python and ArcGIS Maps SDK for JavaScript.

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