Partition Calibration Strategy for A Fully- C oupled Hydrologic Model---PIHM
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Transcript of Partition Calibration Strategy for A Fully- C oupled Hydrologic Model---PIHM
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Partition Calibration Strategy for A Fully-Coupled Hydrologic Model---PIHM
Xuan Yu, Chris Duffy, Gopal Bhatt
Anna Lamacova, Pavel KramCivil & Environmental Engineering @ The Pennsylvania State University
Czech Geological Survey
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Outline
• Partition Calibration Strategy
• Long term SSHCZO hydrological reanalysis
• Spatial parameter transferability (Yong Womans Creek )
• SoilTrEC sites application—validated by snow depth(Lysina)
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Hydrological model calibration
• Manual Calibration• set up model for simulation• Decide the range for each calibration parameter• Give a initial guess of each parameter• Compare model results to the observation • Give hydrologic explanations for the simulation error• Give another guess according to parameter sensitivities based
on previous simulations
The calibration processes will cost the modeler’s long time working When can we stop the calibration processes Final results usually depends on the modeler’s experience
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Partition Calibration Strategy
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Partition Calibration Strategy
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• Downloads— http://www.pihm.psu.edu/pihm_pcs.html
• Documents—
• Requirements— Open MPI: A High Performance Message
Passing interface
Partition Calibration Strategy
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Outline
• Partition Calibration Strategy
• Long term SSHCZO hydrological reanalysis
• Spatial parameter transferability (Yong Womans Creek )
• SoilTrEC site application—validated by snow depth(Lysina)
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SSHCZO
• Susquehanna Shale Hills CZO• 0.08 sq. km• Soils: (silt loam, field mapping)• Vegetation :Deciduous (1739), Evergreen (321)• Meteorological forcing observation since 2009• Irrigation experiment in summer 1974
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SSHCZOSelect relatively simple rain-runoff responsesHigh value of discharge rate will minimize the effect of observational error
Relaxation period for spin-up
simulation period for Objective Function Evaluation
6/1/2009 6/15/2009 7/1/2009
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SSHCZO
Calibrate event based parameters by the flooding period (2009/6/16-2009/7/1)
24 hours parameter optimization by CMA-ES
generation 1 generation 2 generation 3 generation 4
generation 270 generation 271 generation 272 generation 273
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SSHCZOCalibrate seasonal time scale group of parameters by the water budget of 2009
7/1/09 7/11/09 7/21/09 8/1/09
2009P=1028mmQ=417mm
Simulation 1Q=239mm
Simulation 2Q=366mm
Simulation 3Q=604mm
Simple Sensitivity analysis can finish seasonal time scale group of parameters
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SSHCZOFinal results of 2009 calibration
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SSHCZOCalibrated parameters can be directly extended backward(1974) and forward(2011)
Irrigation experiment, 1974
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Multi-scale Hydrological Dynamics
• Hyporheic Exchange Flowevent scale
• Diel signals in groundwater and dischargesub daily scale
• Long term simulation for hydrologic reanalysisdecades time scale
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Diel Signals
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1979-2010 Reanalysis
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Outline
• Partition Calibration Strategy
• Long term SSHCZO hydrological reanalysis
• Spatial parameter transferability (Yong Womans Creek )
• SoilTrEC site application—validated by snow depth(Lysina)
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Young Womans Creek
Young Womans
Creek
Kettle Creek
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Young Womans Creek230.7 sq. km watershed in Pennsylvania, USA
Calibrated parameters in 2004 is extended until 2010
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Young Womans Creek
Kettle Creek is next to Young Womans Creek, with drainage area of 352.2 sq. km
Calibrated parameters in Young Womans Creek is extended to Kettle Creek
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Outline
• Partition Calibration Strategy
• Long term SSHCZO hydrological reanalysis
• Spatial parameter transferability (Yong Womans Creek )
• SoilTrEC site application—validated by snow depth(Lysina)
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Lysina, Czech
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Lysina, Czech
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Lysina, Czech
Observed Snow depth is converted into SWE (Mathew et. al. 2010)
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Thanks for your attention!