UMass Climate Stress Tool

Climate Stress Tool developed by the UMass HydroSystems Research Group

Jeffrey D. Walker, PhD

This application is web-based interface to the weathergen R package, which contains a semi-parametric stochastic weather generator developed by Scott Steinschneider. More details on the weather generator are available in:

Steinschneider, S., & Brown, C. (2013). A semiparametric multivariate, multisite weather generator with low-frequency variability for use in climate risk assessments. Water Resources Research, 49(11), 7205–7220. doi:10.1002/wrcr.20528

Overview

The Climate Stress Tool web application is comprised of:

• a REST API for retrieving climate datasets and submitting jobs for running the weather generator
• a client-side application for fetching historical data (or uploading data in text files), running the weather generator, and downloading the results

Dataset

The application provides access to the Gridded Meteorological Data: 1949-2010 by Maurer et al, 2002. The dataset is stored in a PostgreSQL database.

Maurer, E.P., A.W. Wood, J.C. Adam, D.P. Lettenmaier, and B. Nijssen, 2002, A Long-Term Hydrologically-Based Data Set of Land Surface Fluxes and States for the Conterminous United States, J. Climate 15, 3237-3251.

Application Components

• Client-side web application (AngularJS/d3)
• Server-side web application (Node/Express)
• Database (PostgreSQL)
• Job Queue (kue/redis)

Development Server

To run the development server:

Start redis server:

redis-server

Start grunt and npm:

grunt dev
npm run dev

Start worker app:

cd worker
node app.js

The application is accessible at http://localhost:3000/

The job queue is accessible at http://localhost:3000/jobs