Climpact2

Created by Ger InbergFebruary 2017More apps by Ger

About ClimPACT2

ClimPACT2 is an R software package that calculates the ET-SCI indices, as well as additional climate extremes indices. It directly incorporates the R climdex.pcic package (available on CRAN) to perform most of the calculations. Climdex.pcic is available thanks to the efforts of the Pacific Climate Impacts Consortium (PCIC). ClimPACT2 is developed at the University of New South Wales.

About this App

This is a web app which can also be run on a personal computer without connecting to the Internet. It interfaces with the ClimPACT2 software and can be used to generate indices based on data and parameters provided by the user. This involves two steps which must be completed in order:

  1. Load and check input data.
  2. Calculate indices.

Use the navigation bar at the top of the page to perform these steps.

How to Run this App

To run the app locally on your computer with R installed:

$ git clone https://github.com/nicjhan/climpact2-app.git
$ cd climpact2-app
$ R
> install.packages('shiny')
> install.packages('shinythemes')
> install.packages('markdown')
> install.packages('servr')
> install.packages('dplyr')
> install.packages('corrplot')
> install.packages('ggplot2')
> install.packages('shinyjs')
> library(shiny)
> runApp('./')

The app will automatically start in your default browser.

Or, connect to the ClimPACT2 server at http://ec2-52-65-87-111.ap-southeast-2.compute.amazonaws.com:3838/

Further Documentation and License

Please refer to the official ClimPACT2 GitHub page at https://github.com/ARCCSS-extremes/climpact2

1. Load Dataset

The dataset must use the format described in Appendix B of the ClimPact2 user guide

If you want a sample dataset, first save this sample sydney_observatory_hill_1936-2015.txt and then load.

2. Enter Dataset Infomation

3. Process Data and Quality Control

4. Evaluate Quality Control output

Please complete step 3: Process Data and Quality Control

5. Calculate Climate Indices

Please complete step 3: Process Data and Quality Control

6. Input User Parameters


See Section 3.5 of the ClimPact2 user guide for help with the following fields.

Custom day count index (e.g. number of days where TX > 40, named TXgt40)

7. Calculate Indices

Please complete Load and Check Data

8. View Indices

Please complete step 7: Calculate Indices.

9. Load Sector Data

The dataset must use the format described in Appendix B of the ClimPact2 user guide

If you want a sample dataset, first save this sample wheat_yield_nsw_1922-1999.csv and then load.

10. Sector Data Infomation

11. Make correlation plots

12. View correlation

Please complete step 11: Calculate Correlation.