Transcript LPB – HYPE Application of the HYPE model in the La Plata Basin

LPB – HYPE
Application of the HYPE model in the La Plata Basin
Johan Strömqvist, Berit Arheimer, Joel Dahné, Chantal Donnelly, Jörgen Rosberg, Wei Yang
@ 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.
Evapotranspiration
Rainfall, snowmelt
Surface
runoff
S1
Macropore flow
S2
Groundwater
N&P
pools
Groundwater
Groundwater
outflow
Regional groundwater flow
Tile drain
S3
The La Plata Basin application
Example of input data to the model
La Plata Basin was modelled with
HYPE. Sub-basins were automatically
First results from La Plata simulations 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 overestimates 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.
Paraná (Station: Timbues)
Scope for improvements
•Improved precipitation data
•Evapotranspiration
•Regulation strategies of reservoirs
Overestimation due to ERA40 precipitation!
•Wetland dynamics
•Soil characteristics
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.
Climate change impact
RCM
GCM
Dynamical
down scaling
Nhazonia
Frontiera
USGS (2000) Hydro1k (available online at
http://edc.usgs.gov/products/elevation/gtopo30/hydro/index.html
Vunduzi
Pungwe FallsKatiyo
Pungue Sul
Honde Mavonde
Statistical
down scaling
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.
Pungwe
Hydrological
modelling
Tacuraminga
Bue Maria