JDI-Precipitation Viewer

By Christopher Thompson, Lan Zhao1

1. Purdue University

Helps visualize the Joint Deficit Index (JDI) of Precipitation

Launch Tool

You must login before you can run this tool.

Version 1.4.1 - published on 13 Jan 2014

This tool is closed source.

View All Supporting Documents

    JDI-Precipitation-Viewer

Category

Tools

Published on

Abstract

Droughts are prolonged abnormalities of moisture deficits that vary widely across temporal and spatial scales. Many hydrometeorologic variables are used to monitor the status of a drought. However, because of the dependence structure between all affecting variables under various temporal windows, an integrated spatio-temporal analysis of droughts cannot be easily achieved. A copula-based drought analysis was performed by Kao et al. using long-term monthly precipitation dataset for the upper Midwest United States. The spatio-temporal dependence relationships between various drought variables were investigated, and their joint probability distribution was constructed by combining drought marginals and the dependence structure. A copula-based joint deficit index (JDI) was adopted for an objective (probability-based) description of the overall drought status and compared to the Palmer drought severity index results. Results from the copula-based JDI provide information for drought identification, and further allow a month-by-month assessment for future drought recovery.

Cite this work

Researchers should cite this work as follows:

  • Christopher Thompson; Lan Zhao (2014), "JDI-Precipitation Viewer," https://mygeohub.org/resources/jdiviewer.

    BibTex | EndNote

Tags