Collaborative Agreement on Hydrological Predictions Across Climate Regimes

        January 9 - 13th, 2006
        New Mexico Institute of Mining and Technology
        Socorro, New Mexico, USA

        Instructors: Prof. Salvatore Grimaldi, Universita degli Studi della Tuscia - Viterbo and H2CU, Rome, IT.
                           Prof. Enrique R. Vivoni (vivoni@nmt.edu), New Mexico Tech, MSEC 244, Socorro, NM.
                             

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        Description

Time series analysis is fundamental for the understanding of hydrological phenomenon and their potential for change due to variations in climate forcing or land surface characteristics. With the advent of powerful statistical packages (such as S-plus and R), the use of time series analysis tools is increasingly feasible in hydrological studies. Nevertheless, their use must be based on a solid mathematical foundation which includes concepts of random and stochastic processes, multivariate correlations and synthetic time series generation. This one-week winter school will focus on the theory, concepts and applications of time series analysis with statistical and stochastic tools. The short course will consist of lectures and “hands-on” experimentation with statistical analysis and models. The course will provide the theoretical and applied knowledge for conducting hydrological simulations using timer series approaches, with a particular emphasis on extreme events across climate regimes. A winter school project will focus on the generation of a hydrologic stochastic model for applications in extreme flooding events, as a function of climate setting and basin characteristics. Participants will be divided into teams and guided through the application and synthesis of results from a stochastic model.

The course will be offered through New Mexico Tech's Hydrology Program (HYD 571 - 02; CNR 27676). Students can enroll for the 1-credit course through the NMT Banweb system with the course number above. For individuals interested in the course and not a NMT student, there are two options: (1) For credit, enroll at NMT as a Special Graduate student and pay appropriate credit charges and fees, or (2) For no credit, attend class as listener (no cost associated). Space is limited to 30 total students for this course.

        Course Materials

Winter School Syllabus

Lecture Notes

Computing Requirements

Bibliography

List of Participants

Directions and Facilities

        Information

Contact Prof. Enrique R. Vivoni (vivoni@nmt.edu) or Prof. Salvatore Grimaldi (salvatore.grimaldi@unitus.it).
Honors Center of Italian Universities (H2CU) Website

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Last Updated (01/09/2006), Enrique R. Vivoni, New Mexico Institute of Mining and Technology (http://www.nmt.edu)