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LPB

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USGS (2000) Hydro1k (available online at http://edc.usgs.gov/products/elevation ... automatically delineated using information from the Hydro1k database (USGS 2000) ... – PowerPoint PPT presentation

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Title: LPB


1
LPB HYPEApplication of the HYPE model in the
La Plata BasinJohan Strömqvist, Berit Arheimer,
Joel Dahné, Chantal Donnelly, Jörgen Rosberg, Wei
Yang_at_ Swedish Meteorological and Hydrological
Institute
The HYPE model (Hydrological Predictions for the
Environment)
  • A new daily time-stepping hydrological model for
    small-scale and large-scale assessments of water
    resources and water quality has been developed at
    the SMHI. In the model the landscape is divided
    into classes according to soil type, vegetation
    and altitude. Soils are divided into 1-3 layers
    and the model simulates surface runoff, macropore
    flow, tile drainage and groundwater outflow from
    the individual soil layers. Rivers and lakes are
    described separately. Parameters in the model are
    either general or related to soil type or land
    use.

The La Plata Basin application
  • La Plata Basin was modelled with HYPE. Sub-basins
    were automatically delineated using information
    from the Hydro1k database (USGS 2000). ERA40 data
    was used as driving data (temperature and
    precipitation) and the ECOCLIMAP (Champeaux et
    al. 2005) database was used to obtain landuse and
    soil information. The model over-estimates
    discharge in the western mountainous part of the
    basin, mainly due to too high precipitation
    signal from ERA40. Within the CLARIS project
    local data will be included in the model setup to
    improve the results.
  • Scope for improvements
  • Improved precipitation data
  • Evapotranspiration
  • Regulation strategies of reservoirs
  • Wetland dynamics
  • Soil characteristics

Example of input data to the model
First results from La Plata simulations
Paraná (Station Timbues)
Overestimation due to ERA40 precipitation!
Climate change impact
When calibrated and validated for present
climate, the model will be used to analyse
climate change impact on hydrological variables.
The signal from climate models (RCMs) will be
adjusted to relevant scale and an ensemble of
climate results will be used. Interesting
hydrological variables in a future climate to be
analysed could be soil moisture, low and high
flow conditions, and wetland dynamics.
References Champeaux, J.L., Masson, V. Chauvin,
F. (2005). ECOCLIMAP a global databaseof land
surface parameters at 1 km resolution. Meteorol.
Appl. 12, 29-32. USGS (2000) Hydro1k (available
online at http//edc.usgs.gov/products/elevation/g
topo30/hydro/index.html
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