Poster presented at the CHyMP meeting of Memphis, March31- April 1 2009

1. Workshop on Community Hydrologic Modeling Platform (CHyMP) — Blueprint for a CHyMP
Memphis, USA, 31 march – 1 April 2009
GEOtop2010: A goldmine for CHyMP
R. Rigon (1), M. Dall’Amico (1)(2), S. Endrizzi (1)(4), E. Cordano (1), A. Antonello (3), S. Franceschi (3)
Università di Trento, Via Mesiano77, Trento (Italy) (riccardo.rigon@ing.unitn.it), (2) Mountain-eering s.r.l., via Siemens 19, Bolzano (Italy), (3) HydroloGIS s.r.l., via Siemens 19, Bolzano (Italy), (4) Centre of Hydrology, University of Saskatchewan, Saskatoon, Canada
GEOFRAME
GEOtop: what for?
+
rainfall-runoff and soil moisture Cryosphere (snow, glacier
+
and permafrost)
- GEOtop (www.geotop.org) is a distributed and physically-
based model which runs on a 3D grid built on complex -GEOtop snow model works with a multilayer
+
topography scheme, capable of describing snow
=
metamorphism and water circulation and
- computes the energy budget and the 3D water balance
refreezing in the snowpack;
originating from snow and ice melt, infiltration, soil moisture
evolution and matric suction within a basin - soil freezing/thawing is accounted and
+
+
allows to simulate permafrost areas.
+
• Development and extension of the JConsole engine for automatic OpenMI based
model linking and execution within the framework of Jgrass.
• Development of a set of tools to load external models based on the OpenMI
courtesy of Stephan Gruber
standards without any additional programming into the running JGrass application
and further execution of the model;
• Design and implementation of a graphical user interface for enhanced and user-
friendly import and linking of models, based on the Graphical Editing Framework
Energy budget and evapotranspiration and possibly Eclipse Modeling Framework technologies.
• Creation and packaging of a customized integrated development environment
Effect of
ET elevation based on the Eclipse IDE extended with GIS capabilities and OpenMI extension
points, that should support project partners that are interested in model migration
Effect of aspect
to get started in OpenMI besed development
N/S
Effect of soil
thickness
Effect of Centralized archival of environmental data, both spatial and non spatial, retrieval of all involved data from remote and local data sources, validation
topographic
of the incoming data, temporal interpolation for filling gaps of missing data, exposure of a service towards modeling applications (JGrass), spatial
convergence
Triggering of natural data analysis through an embedded subset of the JGrass framework
(wetland)
hazards (shallow 84 96 108 120 W/m2
0 12 24 36 48 60 72
FUTURE STEPS
Effect of land use
landslides and debris VISUALIZATION TOOL
(lake)
Rn + P − H − L − G = 0
flow) First Steps into GEOFRAME: First Componentization
3D visualization module in JGrass based on Nasa World Wind dedicated
to the visualization of suitable input and output data of the models
Meteo Energy Water
- Stability analysis incorporates the dynamic description of soil - GEOtop calculates the radiation forcing Rn and solves the turbolence in I/O + + +
moisture and tackles the heterogeneity of soil mechanical properties Forcing budget Budget
the ABL to calculate the heat gained or lost by the soil;
through a probabilistic approach;
- H and L are calculated according to the vegetation type and fraction in a
- one can map the failure probability for a given area, and also
pixel, in order to derive the evapotranspiration in the catchment
€
estimate sediment volume available for failure. First Steps into GEOFRAME: Second Componentization
What’s under the hood Input Meteo Water
Energy
I/O + +
+
Forcing Budget
budget
 Point (profiles) and distributed (maps) : Temperature, water content, ice
 CT ∂T − ρi Lf ∂θi + ρw cw Jw (ψT ) • T+ • G + Sen = 0
 content, pore water pressure, snow height, snow density, glacier height,
∂t ∂t
(2) glacier density, surface energy fluxes (G, H, L, TE, Rn), water discharge Further splitting will follow

 at an outlet
θw (ψT ) ρi ∂θi
+ + • Jw (ψT ) + Sw = 0
∂t ρw ∂t
Data Subsurface Surface
Output I/O
Assimilation Flows Flows
Maps: DTM, land use map, topographical features, channel network,
drainage directions, soil type Snow /
Vegetation
I/O Radiation
Parameters: soil hydraulic properties,thermal proprties, geothermal heat glacier
flux, surface properties, vegetation
Meteo: Rainfall, Wind Speed, Air Temperature, Relative Humidity, SW References
Bertoldi, G., R. Rigon & T. M. Over, Impact of watershed geomorphic characteristics on the energy and water budgets, Jour. of Hydromet., Vol. 7, No. 3, p. 371- 388. Vol. 7, No. 3, pages 389 - 394, 2006.
Beam and Diffusive Radiation, Lapse Rate Bertoldi G., Dietrich W.E., Miller N. L., Rigon R.. Bedrock and soil contribution to the formation of sub-surface runoff by saturation in headwater catchments: observations and simulation using a distributed hydrological model, Atti del XXIX Convegno di Idraulica e
Costruzioni Idrauliche, Trento, Settembre 2004.
A detailed descrition of necessary input data of GEOtop is available in the Bertoldi G., Notarnicola C., Leitinger G., Zebisch M., and Tappeiner U. (in preparation) Morphological and eco-hydrological controls on land surface temperature in an Alpine catchment
Bertoldi G., Wohlfahrt G., Della Chiesa S.,Tappeiner U., Endrizzi S. (in preparation): Biotic and a-biotic controls on energy and water partitioning in a mountain grassland
documentation page at www.geotop.org. Further input meteorological Lanni C., Tarantino A., Cordano E., Rigon R., 2009: Analysis of the effect of normal and lateral subsurface water flow on the triggering of shallow landslides with a distributed hydrological modelquot; - International Conference quot;Landslides Processesquot; ,Strasbourg,
France
data can be requested if GEOtop is coupled with MicroMet. Rigon R., Bertoldi G e T. M. Over, GEOtop: A distributed hydrological model with coupled water and energy budgets, Jour. of Hydromet., Vol. 7, No. 3, pages 371- 388., Vol. 7, No. 3, pages 371-388.
Simoni, S., F. Zanotti, G. Bertoldi and R. Rigon, Modelling the probability of occurrence of shallow landslides and channelized debris flows using GEOtop-FS, accepted for Hydrol. Proc., published on-line, Dec 2007
Zanotti F, Endrizzi S, Bertoldi G, Rigon R. 2004. The GEOTOP snow module. Hydrological Processes 18: 3667–3679. DOI:10/1002/hyp.5794.