During droughts, water managers have questions such as:
- What is the probability that the current drought will end in X months?
- How long of a drought should we prepare for? And,
- What is the frequency of maximum drought intensity observed?
These questions and others related to the statistical properties of rainfall can be answered using a technique called Regional Frequency Analysis, using a statistical method called L-moments. Using L-moments, all data from all sites within a particular region, regardless of missing data and varying record length, can be combined to make estimates of rainfall intensity and frequency at a specific location within that region.
In 2008, in collaboration with G-WADI, two UNESCO Category 2 Centers, the Water Center for Arid and Semi-Arid Zones in Latin America and the Caribbean (CAZALAC) and the International Center for Integrated Water Resources Management (ICIWaRM), began development of a Latin American Drought Atlas. It later received strong support from the Flanders UNESCO Science Trust Fund (FUST). These first efforts resulted in a set of manuals, regional workshops and the first published case study in the region, the Chilean Drought Atlas. CAZALAC continued to work to develop a generally applicable, consolidated methodology from 2010-2014 with funding from the EUROCLIMA and RALCEA initiatives of the European Commission, and ICIWaRM collaborated on one of the regional workshops given by CAZALAC. These workshops led to creation of a Drought Atlas for almost all of Latin America and the Caribbean countries.
For each country, three different map sets were created by CAZALAC and UNESCO:
- The frequency of droughts is presented as a set of maps with return periods associated to drought intensities, which are expressed as precipitation deficits;
- The minimum expected rainfall amount associated to a certain return period; and
- The maximum expected rainfall amount associated to a certain return period.
Several software programs were developed through this work. These included
- REFRAN-CV, a version in the scripting language R, and a user-friendly interface based on the R-scripts, developed by CAZALAC and the Joint Research Centre of the European Union, and
- ICI-RAFT, developed by ICIWaRM to analyze various climate indices that help to identify modes of climate variability that affect a particular region of interest.
A workshop to begin to extend the methodology to Sub-Saharan Africa is planned for late 2018.