Sessie 1: PCRaster software

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PCRaster modelling platform

PCRaster research team, Derek Karssenberg

Department of Physical Geography, Faculty of Geosciences, Utrecht University, the Netherlands (d.karssenberg@uu.nl)

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Outline

1) Static Modelling 2) Dynamic Modelling 3) Visualisation

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Design considerations

 People constructing models are domain specialists, not programmers  Tool provides ‘simple’ building blocks for models

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Building blocks: standard functions on maps and blocks

point functions direct neighbourhood functions entire neighbourhood functions neighbourhood defined by topology

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Static models (raster based GIS analysis)

 All raster based operations

 Particularly strong at analysis of digital terrain models and hydrology  Two scripting languages

 PCRcalc: dedicated language

 PCRaster Python: PCRaster functions as a Python module  Routines for prompt visualisation

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Dynamic models

for each t

set of variables representing state of the model at time index t

set of functionals representing processes over time step represented by combining building blocks

x

_t

=

f x

( )

_t_-₁

x

_t

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Dynamic models

initial

# sequence of functions dynamic (nrtimesteps=…) # sequence of functions

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Applications

 Hydrological models (PCRGLOB-WB)

 Ecological models

 Land use change models

 Landscape evolution models (erosional and denudational)

 Geomorphology and degradation models (mass movements, debris flows)

River sediment transport

Cellular automata

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Selection of other point Interactive visualisation

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Dynamic models

 Raster based operations are building blocks

 Frameworks in Python for:

 Dynamic modelling (iterations over time)

 Stochastic modelling / uncertainty (Monte Carlo simulation)  Routines for prompt visualisation of multi-dimensional data

 Geographic dimension  Time dimension

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eWaterCycle project

• Create a realistic, high-resolution global hydrological model of all the fresh water in the world

• Applications:

– Flood forecasting

– Groundwater depletion prediction – Water protection measures

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eWaterCycle Model Requirements

• Ultra high resolution (100x100 meter) • Data assimilation of remote sensing data

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eWaterCylce model

 ‘Standard’ PCRaster model (PCRaster Python)  Dynamic model

 Assimilation of remotely sensed soil moisture

 Runs on a supercomputer (Cartesius at SURFSara)  Distributed computing (multiple nodes)

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PCRaster team & info

 Cooperation between Utrecht University & Carthago Consultancy  Key partners:

 ECMWF  Deltares

 Joint Research Centre – European Commission  Dutch eScience Centre

 Universities worldwide  Software engineers, modellers  Open source (GPL)

 Programmed in C++

 Info, courses and downloads at http://www.pcraster.eu THANK YOU FOR YOUR ATTENTION