Resources

A spatio-temporal drought analysis for the Midwestern US

By Rao S Govindaraju1, Dev Niyogi1

1. Purdue University

Download (PDF)

Licensed according to this deed.

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. In this study, a copula-based
drought analysis was performed by 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:

  • Rao S Govindaraju; Dev Niyogi (2009), "A spatio-temporal drought analysis for the Midwestern US," https://mygeohub.org/resources/9.

    BibTex | EndNote

Tags