International Workshop 'Development of near-term climate scenarios (2020-2035) for vulnerable watersheds to climatic variability at the interanual, decadal and climate change time scales'

La Serena, 3-8 August 2014

General Objective

The objective of this activity is to develop probabilistic scenarios for near-term climatic conditions for vulnerable pilot watersheds in Latin America, based on a historical analysis of climatic variability, combined with an assessment of current and projected sensitivity to climate change.

Specific Objectives

Specifically, the workshop contributes to:

a) capacity building of early-career professionals on the application of Near Term Climate Change Scenario Analysis for applications in hydrology and drought vulnerability analysis;

b) training on the available open source software options (R-scripts and Python);

c) increase the number of specialists in the region that are trained in the methodology; and

d) generate a set of preliminary pilot basin case studies in the region that applied the methodology.

Downloads

General Information (Spanish Only)
Detailed Daily Programme
Presentation "MWAR-LAC Project"
Presentación "Introduction to the framework for the simulation of regional decadal variability for water management"
Presentation "Overview of the SimGen Package"
Presentation "Modeling Environment" (Spanish Only)
Presentation "A Case Study for Argentina and Uruguay" (Spanish Only)
Group Photo
Virtual Machine with software and Simgen pre-installed (in process)
Final Report and Agreements of the Workshop (in process)

Programme

	Sunday 3 August	Monday 4 August	Tuesday 5 August	Wednesday 6 August	Thursday 7 August	Friday 8 August
Morning		Introduction to the framework for the simulation of regional decadal variability for agricultural and other applications¹	A case study of SimGen: Demonstration of application in Argentina and Uruguay³	Application of Simgen to pilot case studies in LAC. Part 1: Station Data input and Decomposition	Part 4 : Downscaling	Return of the participants
				Part 2: Regional Annual-to-Decadal Variability	Part 5 : Simulation and Model Checking

Afternoon	Arrival of participants	Overview of the SimGen Package²	Guided practical exercise: Application of SimGen to station data in Argentina	Part 3: Subannual Variations	Comparison of results
		Installation of Virtual Machines, Python, R		Part 3: Subannual Variations	Conclusions and Roadmap for further activities

(1) Greene, A.M., M. Hellmuth, and J.W. Hansen. 2012a. A framework for the simulation of regional decadal variability for agricultural and other applications. CCAFS Report. International Research Institute for Climate and Society.

(2) Greene, A.M. 2012. The simgen software package: User guide and notes. International Research Institute for Climate and Society.

(3) Greene, A.M., M. Hellmuth, and T. Lumsden. 2012b. Stochastic decadal climate simulations for the Berg and Breede Water Management Areas, Western Cape province, South Africa. Water Resour Res 48:W06504.

MWAR LAC - Managing Water Resources in Arid and Semi-Arid Regions of Latin America and the Caribbean