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Dashboard FUSE Bhima Climate

PB 01/12/2022 update 24/10/24

https://fuse-bhima-climate.herokuapp.com/

Overview

Fuse Bhima

is a transdisciplinary 3-year research project (2018-2021) involving the Food-Water-Energy Nexus (FWE) in Pune (India).

The project will develop a long-term systems model that can be used to identify viable paths to sustainability. It brings together scientists, engineers, economists, and stakeholder engagement experts from

• Stanford University in California, USA
• IIASA (International Institute for Applied Systems Analysis) in Laxenburg, Austria
• UFZ (Helmholtz Centre for Environmental Research) in Leipzig, Germany
• ÖFSE (Austrian Foundation for Development Research) in Vienna, Austria

Climate Bhima web-tool

The webtool on https://fuse-bhima-climate.herokuapp.com/ shows the climate change variability and uncertainty for the upper Bhima basin. The tool holds the data for RCPs 4.5 and 8.5, including three General Circulation Models (GCMs) and an average of the two RCPs and three GCMs. For different districts and tehsils the change of climate variables is displayed between 1990-2020 and 2025-2055.

For temperature, the change in average temperature but also the change in numbers of days with max temperature >= 38 deg C or >= 40 deg C are shown. For precipitation, the change in average precipitation and the change in numbers of days with no rain or days with heavy rain >=20mm, >=50mm, >=100mm are shown.

For a web application we are limited by the memory used to load results in time. Therefore the bias-corrected GCMs GFDL-ESM2M, MIROC5, MPI_REMO2009 are a selection from 8 different climate model runs.

Readme

1. create repository on https://github.com/iiasa/ -> https://github.com/iiasa/CWatM_Bhima This step was already done . i have to look up how it is down -> result empty repository

2. clone repro to local disk (p-drive) https://github.com/iiasa/CWatM_Bhima <>Code (green button)

   • open with Github Desktop URL: https://github.com/iiasa/CWatM_Bhima Direktory: P:/watmodel/dashboards/fuse_bhima

3. Init virtual environment cd P:\watmodel\dashboards\waterstressat_pinzgau git init # initializes an empty git repo virtualenv venv .\venv\Scripts\activate pip list

4. Installation of libraries

   • pip install plotly
   • pip install gunicorn
   • pip install xarray
   • pip install numpy
   • pip install pandas
   • pip install dash
   • pip install dash_bootstrap_components

   To create new requirement.txt:

   • pip freeze > requirements.txt

5. All the libraries in your app.py

In the directory should be:

- app.py
- .gitignore
- Procfile
- requirements.txt

6. Warm start

   cd P:\watmodel\dashboards\fuse_bhima virtualenv venv

7 ) Test app.py

P:/watmodel/dashboards/fuse_bhima/venv/Scripts/python app.py