Presentation is loading. Please wait.

Presentation is loading. Please wait.

Partition Calibration Strategy for A Fully- Coupled Hydrologic Model---PIHM Xuan Yu, Chris Duffy, Gopal Bhatt Anna Lamacova, Pavel Kram Civil & Environmental.

Published byLucy Charlotte Blankenship Modified over 9 years ago

Similar presentations

Presentation on theme: "Partition Calibration Strategy for A Fully- Coupled Hydrologic Model---PIHM Xuan Yu, Chris Duffy, Gopal Bhatt Anna Lamacova, Pavel Kram Civil & Environmental."— Presentation transcript:

1 Partition Calibration Strategy for A Fully- Coupled Hydrologic Model---PIHM Xuan Yu, Chris Duffy, Gopal Bhatt Anna Lamacova, Pavel Kram Civil & Environmental Engineering @ The Pennsylvania State University Czech Geological Survey Soiltrec Training Event Modelling Workshop - Crete 1

2 Outline Partition Calibration Strategy Long term SSHCZO hydrological reanalysis Spatial parameter transferability (Yong Womans Creek ) SoilTrEC sites application—validated by snow depth(Lysina) Soiltrec Training Event Modelling Workshop - Crete 2

3 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 Soiltrec Training Event Modelling Workshop - Crete 3

4 Partition Calibration Strategy Soiltrec Training Event Modelling Workshop - Crete 4

5 Partition Calibration Strategy Soiltrec Training Event Modelling Workshop - Crete 5

6 Downloads— http://www.pihm.psu.edu/pihm_pcs.html http://www.pihm.psu.edu/pihm_pcs.html Documents— Requirements— Open MPI: A High Performance Message Passing interface Partition Calibration Strategy Soiltrec Training Event Modelling Workshop - Crete 6

7 Outline Partition Calibration Strategy Long term SSHCZO hydrological reanalysis Spatial parameter transferability (Yong Womans Creek ) SoilTrEC site application—validated by snow depth(Lysina) Soiltrec Training Event Modelling Workshop - Crete 7

8 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 Soiltrec Training Event Modelling Workshop - Crete 8

9 SSHCZO Soiltrec Training Event Modelling Workshop - Crete 9 Select relatively simple rain-runoff responses High 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

10 SSHCZO Calibrate event based parameters by the flooding period (2009/6/16-2009/7/1) Soiltrec Training Event Modelling Workshop - Crete 10 24 hours parameter optimization by CMA-ES generation 1generation 2generation 3generation 4 generation 270generation 271generation 272 generation 273

11 SSHCZO Soiltrec Training Event Modelling Workshop - Crete 11 Calibrate seasonal time scale group of parameters by the water budget of 2009 7/1/097/11/097/21/098/1/09 2009 P=1028mm Q=417mm Simulation 1 Q=239mm Simulation 2 Q=366mm Simulation 3 Q=604mm Simple Sensitivity analysis can finish seasonal time scale group of parameters

12 SSHCZO Soiltrec Training Event Modelling Workshop - Crete 12 Final results of 2009 calibration

13 SSHCZO Soiltrec Training Event Modelling Workshop - Crete 13 Calibrated parameters can be directly extended backward(1974) and forward(2011) Irrigation experiment, 1974

14 Multi-scale Hydrological Dynamics Hyporheic Exchange Flow event scale Diel signals in groundwater and discharge sub daily scale Long term simulation for hydrologic reanalysis decades time scale Soiltrec Training Event Modelling Workshop - Crete 14

15 Diel Signals Soiltrec Training Event Modelling Workshop - Crete 15

16 1979-2010 Reanalysis Soiltrec Training Event Modelling Workshop - Crete 16

17 Outline Partition Calibration Strategy Long term SSHCZO hydrological reanalysis Spatial parameter transferability (Yong Womans Creek ) SoilTrEC site application—validated by snow depth(Lysina) Soiltrec Training Event Modelling Workshop - Crete 17

18 Young Womans Creek Soiltrec Training Event Modelling Workshop - Crete 18 Young Womans Creek Kettle Creek

19 Young Womans Creek Soiltrec Training Event Modelling Workshop - Crete 19 230.7 sq. km watershed in Pennsylvania, USA Calibrated parameters in 2004 is extended until 2010

20 Young Womans Creek Soiltrec Training Event Modelling Workshop - Crete 20 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

21 Outline Partition Calibration Strategy Long term SSHCZO hydrological reanalysis Spatial parameter transferability (Yong Womans Creek ) SoilTrEC site application—validated by snow depth(Lysina) Soiltrec Training Event Modelling Workshop - Crete 21

22 Lysina, Czech Soiltrec Training Event Modelling Workshop - Crete 22

23 Lysina, Czech Soiltrec Training Event Modelling Workshop - Crete 23

24 Lysina, Czech Soiltrec Training Event Modelling Workshop - Crete 24 Observed Snow depth is converted into SWE (Mathew et. al. 2010)

25 Thanks for your attention! Soiltrec Training Event Modelling Workshop - Crete 25

Download ppt "Partition Calibration Strategy for A Fully- Coupled Hydrologic Model---PIHM Xuan Yu, Chris Duffy, Gopal Bhatt Anna Lamacova, Pavel Kram Civil & Environmental."

Similar presentations

Improved CanSIPS Initialization from Offline CLASS Simulation and Data Assimilation Aaron Berg CanSISE Workshop.

Improved CanSIPS Initialization from Offline CLASS Simulation and Data Assimilation Aaron Berg CanSISE Workshop.
How will SWOT observations inform hydrology models?

How will SWOT observations inform hydrology models?
4 th International Symposium on Flood Defence Generation of Severe Flood Scenarios by Stochastic Rainfall in Combination with a Rainfall Runoff Model U.

4 th International Symposium on Flood Defence Generation of Severe Flood Scenarios by Stochastic Rainfall in Combination with a Rainfall Runoff Model U.
Active layer depth as a key factor of runoff formation in permafrost: process analysis and modelling using the data of long-tem observations Lyudmila Lebedeva.

Active layer depth as a key factor of runoff formation in permafrost: process analysis and modelling using the data of long-tem observations Lyudmila Lebedeva.
Assessing the impact of a soil surface crust on simulated overland flow at the field scale. N. Chahinian (1, 2), M. Voltz (2), R. Moussa (2), G. Trotoux.

Assessing the impact of a soil surface crust on simulated overland flow at the field scale. N. Chahinian (1, 2), M. Voltz (2), R. Moussa (2), G. Trotoux.
Michael J. Brayton MD/DE/DC Water Science Center Hydrologic Controls on Nutrient and Pesticide Transport through a Small Agricultural Watershed, Morgan.

Michael J. Brayton MD/DE/DC Water Science Center Hydrologic Controls on Nutrient and Pesticide Transport through a Small Agricultural Watershed, Morgan.
Multi-sensor and multi-scale data assimilation of remotely sensed snow observations Konstantinos Andreadis 1, Dennis Lettenmaier 1, and Dennis McLaughlin.

Multi-sensor and multi-scale data assimilation of remotely sensed snow observations Konstantinos Andreadis 1, Dennis Lettenmaier 1, and Dennis McLaughlin.
Plot Scale © Oregon State University Isotope Hydrology Shortcourse Prof. Jeff McDonnell Richardson Chair in Watershed Science Dept. of Forest Engineering.

Plot Scale © Oregon State University Isotope Hydrology Shortcourse Prof. Jeff McDonnell Richardson Chair in Watershed Science Dept. of Forest Engineering.
Investigation of Seasonal Hydrology and Variable Source Areas within Regions of Ontario Ramesh Rudra (R.P. Rudra, B. Gharabaghi, S, Gregori, W.T. Dickinson)

Investigation of Seasonal Hydrology and Variable Source Areas within Regions of Ontario Ramesh Rudra (R.P. Rudra, B. Gharabaghi, S, Gregori, W.T. Dickinson)
Additional Questions, Resources, and Moving Forward Science questions raised in the development of a science assessment Effect of Conservation Tillage.

Additional Questions, Resources, and Moving Forward Science questions raised in the development of a science assessment Effect of Conservation Tillage.
4 th International Symposium on Flood Defence, 6 th – 8 th May 2008, Toronto, Canada Efficiency of distributed flood mitigation measures at watershed scale.

4 th International Symposium on Flood Defence, 6 th – 8 th May 2008, Toronto, Canada Efficiency of distributed flood mitigation measures at watershed scale.
Catchment Scale Streamflow Response to Climate Variability in the Rain-Snow Transition Zone of California's Sierra Nevada Mountains T.C. Harmon [1,2] and.

Catchment Scale Streamflow Response to Climate Variability in the Rain-Snow Transition Zone of California's Sierra Nevada Mountains T.C. Harmon [1,2] and.
Calibration: Calibration was sensitive to lateral conductivity and exponential decay in soil conductivity. The sediment module of DHSVM 3.0 was sensitive.

Calibration: Calibration was sensitive to lateral conductivity and exponential decay in soil conductivity. The sediment module of DHSVM 3.0 was sensitive.
Calibration: Calibration was sensitive to lateral conductivity and exponential decay in soil conductivity. The sediment module of DHSVM 3.0 was sensitive.

Calibration: Calibration was sensitive to lateral conductivity and exponential decay in soil conductivity. The sediment module of DHSVM 3.0 was sensitive.
Hydrological Modeling FISH 513 April 10, 2002. Overview: What is wrong with simple statistical regressions of hydrologic response on impervious area?

Hydrological Modeling FISH 513 April 10, Overview: What is wrong with simple statistical regressions of hydrologic response on impervious area?
Hydrologic/Watershed Modeling Glenn Tootle, P.E. Department of Civil and Environmental Engineering University of Nevada, Las Vegas

Hydrologic/Watershed Modeling Glenn Tootle, P.E. Department of Civil and Environmental Engineering University of Nevada, Las Vegas
Alan F. Hamlet Dennis P. Lettenmaier Center for Science in the Earth System Climate Impacts Group and Department of Civil and Environmental Engineering.

Alan F. Hamlet Dennis P. Lettenmaier Center for Science in the Earth System Climate Impacts Group and Department of Civil and Environmental Engineering.
Hydrology and Water Resources Civil and Environmental Engineering Dept. Physically-based Distributed Hydrologic Modeling.

Hydrology and Water Resources Civil and Environmental Engineering Dept. Physically-based Distributed Hydrologic Modeling.
Abstract In the case of the application of the Soil Moisture and Ocean Salinity (SMOS) mission to the field of hydrology, the question asked is the following:

Abstract In the case of the application of the Soil Moisture and Ocean Salinity (SMOS) mission to the field of hydrology, the question asked is the following:
The Effect of Soil Hydraulic Properties and Deep Seepage Losses on Drainage Flow using DRAINMOD Debjani Deb 26 th April, 2004.

The Effect of Soil Hydraulic Properties and Deep Seepage Losses on Drainage Flow using DRAINMOD Debjani Deb 26 th April, 2004.

Similar presentations

Ads by Google