Description

February 15, 2018 - March 01, 2018

Hydrologic modeling is useful for flood, drought, and water resources management. The Variable Infiltration Capacity (VIC) Model uses inputs to better understand hydrological processes in near real-time. Many of the inputs are available from NASA remote sensing and Earth system models, allowing the model to provide soil moisture, evapotranspiration, and runoff as outputs. Together with precipitation data, these outputs provide quantitative assessment of a regional water budget. This introductory training will include an overview of the model, sources of satellite-derived input data, and implementation of the model.

Agenda Cite This Training

Objective

By the end of the training, attendees will learn how to:

  • Download, install, and use the VIC model
  • Set up VIC for a watershed or river basin using remote sensing data inputs
  • Analyze output water resource components
Audience

This training is primarily intended for water resources professionals and disaster managers from local, state, and federal agencies, NGOs, and the private sector. 

Course Format
  • Three 1-hour sessions
Sessions
Part One: Introduction to the VIC Hydrological Model

This session will cover an introduction to the Variable Infiltration Capacity (VIC) model, including an overview of VIC modules, computer hardware and software requirements, and an overview of inputs and outputs. 

Materials:

Materiales en Español:

Part Two: Overview of Remote Sensing-Based Input Data for VIC

This session will go over the data preparation necessary, using the Mekong River Basin as an example. The session will also include a review of data sources, including MERRA temperature and winds; TRMM/GPM precipitation; SRTM terrain; and MODIS land cover, albedo, and leaf area index. 

Materials:

Materiales en Español:

Part Three: Overview of VIC Implementation in a River Basin

This session will focus on implementing the VIC model, using the Mekong River Basin as an example. This will include calibration and validation, analysis of outputs, examples of applications, and a discussion on the advantages and limitations of VIC. 

Materials:

Materiales en Español:

Prerequisites