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Integrated EO Modelling for WRM with Emphasis on Surface Hydrology

Introduction

The course consists of a total of six weeks in which integrated monitoring, assessment and modelling of water resources as well as applications in floods, droughts and irrigation are introduced.

The course start with a short introduction on modelling concepts. Different components of a modelling system will be addressed. Uncertainties in model processes, parameters and variables as well as model calibration and validation at different spatial and temporal scales will be addressed. Applications of the modelling approach to data poor area will be treated. Finally applications of the modelling approach in flood monitoring, drought assessment and land use will be worked out as case studies.

Special attention is given to the integration of Earth Observation data of water cycle variables conventional hydrometric data, vegetation properties and catchment characteristics in several example models.

What will be achieved?

General objectives:

• Understand different hydrologic modelling concepts and their application potential and limitations;
• Develop practical skills in setting-up, running and evaluating specific hydrological models;
• Develop capability to use earth observation data in modelling context.

Specific objectives:

• Set-up, run and evaluate various hydrological models;
• Understand and apply optimization techniques;
• Understand and apply the use of specific software to evaluate irrigation water, drainage and salinization related aspects, evapotranspiration and rainfall-runoff.

What is the course content?

Lectures and exercises demonstrate the various aspects of the modelling process.

Admission requirements

Academic level and background

Applicants for the Certificate programme should have a Bachelor degree or equivalent from a recognised university in a discipline related to the course, preferably combined with working experience in a relevant field.

Some courses in the Certificate programme or separate modules require knowledge of, and skills in, working with GIS and/or digital image processing of remotely sensed data.

Skills in taught or related subjects are a prerequisite for some courses in the Certificate programme or separate modules. Even if the applicant satisfies the overall admission requirements, acceptance is not automatic.

English language

As all courses are given in English, proficiency in the English language is a prerequisite. If you are a national of one of the countries in this list (PDF), you are exempted from an English language test. Please note: the requirements when applying for fellowships may vary according to the regulations of the fellowship provider.

English language tests: minimum requirements

Only internationally recognised test results are accepted.

Computer skills

Applicants lacking computer experience are strongly advised to follow basic courses in their home countries.