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GEOtop Sisef presentation
GEOtop Sisef presentation
GEOtop Sisef presentation
GEOtop Sisef presentation
GEOtop Sisef presentation
GEOtop Sisef presentation
GEOtop Sisef presentation
GEOtop Sisef presentation
GEOtop Sisef presentation
GEOtop Sisef presentation
GEOtop Sisef presentation
GEOtop Sisef presentation
GEOtop Sisef presentation
GEOtop Sisef presentation
GEOtop Sisef presentation
GEOtop Sisef presentation
GEOtop Sisef presentation
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GEOtop Sisef presentation

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I° Riunione Gruppo di Lavoro SISEF Modellistica Forestale …

I° Riunione Gruppo di Lavoro SISEF Modellistica Forestale
Workshop, Bologna, 18 Dicembre 2009

The GEOtop model: eco-hydrological applications at plot and catchment scale.

G. Bertoldi, S. Della Chiesa, S. Endrizzi, M. Dall’Amico, E. Cordano, S. Simoni, U.Tappeiner, R. Rigon

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  • Ok, non mettere GeoTOP
  • Try to turn temperature map to lastest view
  • Dynamic Vegetation Modeling (DVM) in an Alpine Meadow Geo TOP model validation and development: Land Surface Temperature in an alpine catchment Modeling the water cycle in the Match Valley Stubai Valley : model validation and process understanding. Plot scale Dynamic Vegetation Model (DVM) validation: grassland dynamic in an alpine meadow. 2. Catchment scale hydrological GEOtop model validation: Land Surface Temperature (LST) in an alpine catchment. Match Valley : experimental activities and climate change impacts evaluation. 3. Catchment scale hydrological cycle: modeling the 2003 water in the Match Valley.
  • Dynamic Vegetation Modeling (DVM) in an Alpine Meadow Geo TOP model validation and development: Land Surface Temperature in an alpine catchment Modeling the water cycle in the Match Valley Stubai Valley : model validation and process understanding. Plot scale Dynamic Vegetation Model (DVM) validation: grassland dynamic in an alpine meadow. 2. Catchment scale hydrological GEOtop model validation: Land Surface Temperature (LST) in an alpine catchment. Match Valley : experimental activities and climate change impacts evaluation. 3. Catchment scale hydrological cycle: modeling the 2003 water in the Match Valley.
  • Change the research questions. Update maps with latest results. Add assumptions: Distributed models need distributed data to be validated. only plot scale observations are not enough. 2. LST is a quantity easily measurable trough remote sensing. 3. LST is a key (and very) variable of the energy budget and if the model is able to correctly reproduce observed LST it is likey that it is able to give a good estimation of ET
  • negative skewness
  • Try to turn temperature map to latest view
  • Validation of the hydrological model at the plot scale <-> field activities Development of grassland growth model for different types of grasslands managements <-> field activities Retrospective simulation at catchment scale <-> streamflow, remote sensing data Future scenarios simulation <-> land management and Regional climate model scenarios Identification of critical variations of key parameters: evapo transpiration, soil moisture, groundwater recharge, runoff production, plant water stress, grassland productivity <-> local scale impacts
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    • 1. The GEOtop model: eco-hydrological applications at plot and catchment scale Institute for Alpine Environment G. Bertoldi, S. Della Chiesa, S. Endrizzi, M. Dall’Amico, E. Cordano, S. Simoni, U.Tappeiner, R. Rigon Università di Trento Dip. Ing. Civile ed Ambientale I° Riunione Gruppo di Lavoro SISEF Modellistica Forestale Workshop, Bologna, 18 Dicembre 2009 Università di Bologna, Facoltà di Agraria
    • 2. Modeling: research goals <ul><li>Research </li></ul><ul><li>Land - vegetation - atmosphere interactions. </li></ul><ul><li>Ecohydrology </li></ul><ul><li>Coupled surface energy and hydrological fluxes. </li></ul><ul><li>Different spatial scales (plot, catchments) </li></ul><ul><li>Focus: mountains </li></ul><ul><ul><li>Effect of topography on evapotranspiration and discharge partition. </li></ul></ul><ul><ul><li>Spatial variability (precipitation, land use, vegetation, topography). </li></ul></ul>Goals Hydrological predictions mean and long range. Impacts of land use and climate changes on hydrological cycle and on terrestrial ecosystems . Increasing need of accurate modeling capabilities ! GEO TOP Method SVAT Models Rainfall-Runoff Models DVM Models
    • 3. Geo TOP model overview (I) Plot scale: Soil Vegetation Atmosphere Transfer (SVAT) Rigon R., Bertoldi G. and Over T.M., GEOtop: A Distributed Hydrological Model with Coupled Water and Energy Budgets, Journal of Hydrometeorology , 7, 371-388, 2006. Soil column water and energy budget Figure adapted from (Liang, X. et al. 1994)
    • 4. GEOtop model overview (II) Land cover / Vegetation Soil moisture Runoff production Topography Evapotranspiration Climate Catchment scale: distributed hydrological model Figure adapted from (Abbott, M. B. et al. 1986) Snow
    • 5. Landscape scale ecohydrological modeling Geo TOP hydrological model Landscape scale : remote sensing Plot scale : ground observations
    • 6. On-going: dynamic vegetation Plot scale : Integration of a DVM model to simulate grassland dynamic in alpine meadows In collaboration with: Georg Wohlfahrt (Institute of Ecology Univ. of Innsbruck) John D. Albertson (CEE, Duke University, USA)
    • 7. Modeling surface fluxes : LST Landscape scale : Land Surface Temperature in an alpine catchment In collaboration with: Riccardo Rigon and his team (CUDAM, Univ. of Trento) Stefano Endrizzi (University of Saskatchewan, Canada) Claudia Notarnicola (EURAC Remote Sensing Institute)
    • 8. LST: spatial distribution comparison GEOtop LST [ o C] R 2 = 0.88 LANDSAT LST [ o C] Model spatial patterns validation
    • 9. LST: land cover controls Topographic and land cover controls on surface energy budget
    • 10. Water cycle modeling Landscape scale : Modeling water cycle in the Matsch Valley Financed by: Province of Bolzano Research Found
    • 11. Matsch valley research area <ul><li>Network of 17 stations for: </li></ul><ul><li>Model validation </li></ul><ul><li>Process analysis </li></ul><ul><li>Scenarios analysis </li></ul>Transect stations Catchment stations Run-off measurements
    • 12. Water cycle components SWC Runoff GEOtop simulations ET SWE <ul><li>SWC </li></ul><ul><li>Soil Water Content </li></ul><ul><li>cm depth </li></ul><ul><li>20th June 2003 ) </li></ul>ET Evapotranspiration (ET mean June 2003 ) 2 w/m 2 286 w/m 2 SWE Snow Water Equivalent ( 1st Apr 2003 ) Runoff ( Hydrographic office Province of Bolzano)
    • 13. Soil water content Soil Water Content Layer 1 5 cm depth (zoom 20th June 2003) <ul><li>Interplay of: </li></ul><ul><li>local climate </li></ul><ul><li>topography </li></ul><ul><li>soil properties </li></ul><ul><li>root water extraction </li></ul>
    • 14. Evapotranspiration ET June 2003 Effect of aspect (N/S) Effect of elevation 1. topography / energy forcing Effect of topographic convergence (hollow) Effect of topographic divergence (dry ridge) 3. water distribution Effect of land cover (forest/grassland) 2. land cover 2 w/m 2 Low High 286 w/m 2
    • 15. GEOtop is an Open Source collaborative projects and other are invited to bring into new components www.geotop.org
    • 16. It is an ongoing group work … University of Trento / Mountain-eering <ul><li>R. Rigon group : </li></ul><ul><li>S. Simoni : hillslope stability . </li></ul><ul><li>S. Endrizzi : snow-melt . </li></ul><ul><li>M. Dall’Amico : permafrost . </li></ul>Spreading World-wide … <ul><li>Xujun Han, Cold and Arid Regions Environmental and Engineering. Research Institute, Chinese Academy of Sciences. </li></ul><ul><li>Cuell Charles, National Hydrology Research Center, Canada. </li></ul><ul><li>Stephan Gruber , University of Z ürich. </li></ul>EURAC research <ul><li>S. Della Chiesa: dynamic vegetation modeling (grasslands) </li></ul>
    • 17. Related publications <ul><li>Peer reviewed GEOtop publications </li></ul><ul><li>Bertoldi G., Notarnicola C., Leitinger G., Endrizzi S., Zebisch M., and Tappeiner U., Morphological and ecohydrological controls on land surface temperature in an Alpine catchment, Ecohydrology, under revision. </li></ul><ul><li>Gebremichael, M., Rigon, R., Bertoldi, G., and Over, T. M.: On the scaling characteristics of observed and simulated spatial soil moisture fields, Nonlin. Processes Geophys., 16, 141-150, 2009. </li></ul><ul><li>Simoni, S., Zanotti, F., Bertoldi, G., Rigon, R., 2006: Modelling the probability of occurrence of shallow landslides and channelized debris flows using GEOtop-SF, Hydrological Processes,. doi: 10.1002/hyp.6886, 2007. </li></ul><ul><li>Rigon R., G. Bertoldi and T. M. Over, GEOtop: A Distributed Hydrological Model with Coupled Water and Energy Budgets., Journal of Hydrometeorology, Vol. 7, No. 3, pages 371-388, 2006. </li></ul><ul><li>Bertoldi, G., R. Rigon and T. M. Over, Impact of Watershed Geomorphic Characteristics on the Energy and Water Budgets, Journal of Hydrometeorology, Vol. 7, No. 3, pages 389-403, 2006. </li></ul><ul><li>Zanotti F., S. Endrizzi, G. Bertoldi and R. Rigon, The GEOTOP snow module, Hydrol. Proc., 18, 3667-3679 (2004), DOI 10.1002/hyp.5794. </li></ul>

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