AWRA Annual Water Resources Conference Nov. 12-15, 2012 Jacksonville, Florida National Hydrologic Model Calibration Lauren Hay US Geological.

Slides:



Advertisements
Similar presentations
PROCESS-BASED, DISTRIBUTED WATERSHED MODELS New generation Source waters and flowpaths Physically based.
Advertisements

U.S. Department of the Interior U.S. Geological Survey Welcome to the USGS Webinar: New Science and Online Management Tools to Help Guide Action on Nutrients.
Model calibration using. Pag. 5/3/20152 PEST program.
American Water Resources Association 2012 Annual Conference Jacksonville, Florida November 13, 2012 Steve Markstrom U.S. Geological Survey.
A MODELING FRAMEWORK FOR IMPROVED AGRICULTURAL WATER- SUPPLY FORECASTING George Leavesley 1, Olaf David 1, David Garen 2, Angus Goodbody 2, Jolyne Lea.
Perched River Seepage ESHMC Meeting January 13-14, 2009 Stacey Taylor.
SPARROW Modeling in the Mississippi River Basin Iowa Science Assessment Davenport, IA Nov. 14, 2012 (608) By Dale M. Robertson*
Calibration: Calibration was sensitive to lateral conductivity and exponential decay in soil conductivity. The sediment module of DHSVM 3.0 was sensitive.
Mel Kunkel & Jen Pierce Boise State University Climatic Indices: Predictors of Idaho's Precipitation and Streamflow.
Use of Multi-Model Super-Ensembles in Hydrology Lauren Hay George Leavesley Martyn Clark * Steven Markstrom Roland Viger U.S. Geological Survey Water Resources.
Apalachicola/Chattahoochee/Flint Focus Area - USGS WaterSMART NIDIS SE Climate Forum Lake Lanier Islands, GA December 2, 2011.
Opportunities for Development of a Global Water Information System David R. Maidment, University of Texas at Austin Definition of an information system.
Impact of Climate Change on Flow in the Upper Mississippi River Basin
WaterSmart, Reston, VA, August 1-2, 2011 Steve Markstrom and Lauren Hay National Research Program Denver, CO Jacob LaFontaine GA Water.
KINEROS (KINematic runoff and EROSion model) Michael Schaffner Senior Service Hydrologist NOAA National Weather Service WFO Binghamton, NY Eastern Region.
Klamath Basin Water Distribution Model Workshop. OUTLINE Brief Description of Water Distribution Models Model Setups Examples of networks and inputs Demand.
Spatial Interpolation of monthly precipitation by Kriging method
USGS Watershed Model Evolution – RRM(1972) to GSFLOW(2012) USGS Watershed Model Evolution – RRM(1972) to GSFLOW(2012) George Leavesley, USGS Retired and.
AWRA Water Resources Conference Jacksonville, FL, November Modeling of Watershed Systems Lauren Hay Steve Markstrom Steve Regan.
Tools for National Hydrologic Model Application Development Steven Markstrom, Lauren Hay, Shannon Poole, and Christopher Ward-Garrison (U.S. Geological.
Forecasting Streamflow with the UW Hydrometeorological Forecast System Ed Maurer Department of Atmospheric Sciences, University of Washington Pacific Northwest.
Coupling of Atmospheric and Hydrologic Models: A Hydrologic Modeler’s Perspective George H. Leavesley 1, Lauren E. Hay 1, Martyn P. Clark 2, William J.
Watershed Hydrology Modeling: What is Considered Calibrated? Presented by: Jeremy Wyss, HIT Tetra Tech Presented by: Jeremy Wyss, HIT Tetra Tech 27 th.
National Weather Service - Southeast River Forecast Center Southeast River Forecast Center North Florida Visit July 17-20, 2006 Southeast River Forecast.
Climate change impact on drought risk and uncertainty in the Willamette River basin Dept. of Geography, Portland State University, Portland, OR Il-Won.
1 Calibration of Watershed Models Why calibrate? –OFS: short term forecasts –ESP: no run time mods –Learn model and hydrology –Good training for forecasting.
Hydrologic Related Activities within the Joint Institute for Caribbean Climate Studies Eric Harmsen, Ph.D., P.E. Dept. of Agricultural and Biosystems Engineering.
Patapsco/Back River SWMM Model Part I - Hydrology Maryland Department of the Environment.
Gridded Rainfall Estimation for Distributed Modeling in Western Mountainous Areas 1. Introduction Estimation of precipitation in mountainous areas continues.
American Water Resources Association 2012 Annual Conference Jacksonville, Florida November 13, 2012 Steve Markstrom U.S. Geological Survey.
U.S. Department of the Interior U.S. Geological Survey Estimating water availability at ungaged locations in New England Source:
U.S. Department of the Interior U.S. Geological Survey Using Monitoring Data from Multiple Networks/Agencies to Calibrate Nutrient SPARROW* Models, Southeastern.
River flow modeling of the Mekong River Basin A.W. Jayawardena Department of Civil Engineering The University of Hong Kong
American Water Resources Association 2012 Annual Conference Jacksonville, Florida November 13, 2012 Roland Viger Andrew Bock U.S. Geological.
WaterSmart, Reston, VA, August 1-2, 2011
Streamflow Information in Texas David R. Maidment Director, Center for Research in Water Resources University of Texas at Austin USGS Workshop, Fort Worth,
Analytic Vs Numeric Ground Water Models Ray R. Bennett, PE Colorado Division of Water Resources.
South Platte Decision Support System Colorado Water Conservation Board and Division of Water Resources.
Afghan Water Task Progress Report September 7, 2006 EROS Data Center, Sioux Falls, SD Gregg J. Wiche Doug G. Emerson U. S. Geological Survey Bismarck,
U.S. Department of the Interior U.S. Geological Survey The CRUISE tool - An interactive, GIS-based application to estimate continuous, unimpacted daily.
Relating Surface Water Nutrients in the Pacific Northwest to Watershed Attributes Using the USGS SPARROW Model Daniel Wise, Hydrologist US Geological Survey.
Basic Hydrology: Gauge Analysis. Gage Analysis Gage analysis is use of historical records to construct a frequency curve for a gauging station. This frequency.
Basic Hydrology & Hydraulics: DES 601 Module 6 Regional Analysis.
U.S. Department of the Interior U.S. Geological Survey Montana StreamStats An overview of Montana StreamStats and methods for obtaining streamflow characteristics.
Modeling Stream Flow of Clear Creek Watershed-Emory River Basin Modeling Stream Flow of Clear Creek Watershed-Emory River Basin Presented by Divya Sharon.
Update on A National Water Census * Part of the Initiative U.S. Department of the Interior U.S. Geological Survey.
U.S. Department of the Interior U.S. Geological Survey U.S. Department of the Interior U.S. Geological Survey Scenario generation for long-term water budget.
A Modeling Framework for Improved Agricultural Water Supply Forecasting George Leavesley, Colorado State University, Olaf David,
P B Hunukumbura1 S B Weerakoon1
Effect of Potential Future Climate Change on Cost-Effective Nonpoint Source Pollution Reduction Strategies in the UMRB Manoj Jha, Philip Gassman, Gene.
Streamflow Information for the Next Century A Plan for the National Streamflow Information Program December 2, 1999.
Patapsco and Back River HSPF Watershed Model Part I - Hydrology Maryland Department of the Environment.
G. Formetta, R. Rigon, A. Antonello, Silvia Franceschi, S. Endrizzi NewAge: something more than a common hydrological model 11July 2012 Ispra, Italy G.
Hydrological impacts of climate change over the contiguous United States: Project overview.
Water Census Progress: DRB Focus Area Perspective Bob Tudor Deputy Director Delaware River Basin Commission.
Using the NHDPlus for drainage area delineation and site matching Kirsten Cassingham, NC Water Science Center Silvia Terziotti, NC Water Science Center.
STREAM DRYING IN THE UPPER COLORADO RIVER BASIN: HOW WILL LOW FLOWS SHAPE FUTURE RIPARIAN VEGETATION? Lindsay V. Reynolds 1,2,3, Patrick B. Shafroth 3,
EF5: A hydrologic model for prediction, reanalysis and capacity building Zachary Flamig Postdoctoral Scholar.
Precipitation-Runoff Modeling System (PRMS)
Basic Hydrology & Hydraulics: DES 601
Automation of Input data preparation of TOPNET model using Python
Flow Estimation in Ungaged Basins
Hydrologic Conditions: Surface and Ground Water Resources September 2012 The DNR summarizes the climatic, surface and groundwater resources on a monthly.
GIS FOR HYDROLOGIC DATA DEVELOPMENT FOR DESIGN OF HIGHWAY DRAINAGE FACILITIES by Francisco Olivera and David Maidment Center for Research in Water Resources.
Hydrology.
Model Calibration and Forecast Error for NFIE-Hydro
Regional Hydraulic Model for the City of Austin
Recharge to the Edwards Aquifer in the Nueces Basin
TxRR Model along the coast
Rainfall Runoff in the Guadalupe River Basin
Presentation transcript:

AWRA Annual Water Resources Conference Nov , 2012 Jacksonville, Florida National Hydrologic Model Calibration Lauren Hay US Geological Survey National Research Program (NRP) Modeling of Watershed Systems (MoWS) Denver, Colorado

AWRA Annual Water Resources Conference Nov , 2012 Jacksonville, Florida THEN PRMS model applications with 1 stream gage

AWRA Annual Water Resources Conference Nov , 2012 Jacksonville, Florida THEN PRMS model applications with 1 stream gage NOW PRMS applications with many stream gages HOW TO CALIBRATE??????

AWRA Annual Water Resources Conference Nov , 2012 Jacksonville, Florida The green shaded area indicates area that will be modeled hydrologically. The black and white circle indicates USGS streamflow gage , near Kersey, CO. The green circles mark the 14 seed dispersal phenology field sites. 25,000km 2 S. Platte River Basin Colorado Ungaged HOW TO CALIBRATE?????? THEN PRMS model applications with 1 stream gage NOW PRMS applications with many stream gages PRMS applications in ungaged basins

AWRA Annual Water Resources Conference Nov , 2012 Jacksonville, Florida 4 essential functions: constructs the stream network graph groups segments into rounds draws a schematic generates child parameter files Lumen Used to analyze a stream network represented within PRMS

AWRA Annual Water Resources Conference Nov , 2012 Jacksonville, Florida S. Platte River Basin Ungaged Lumen reads parameter PRMS parameter file and generates schematic

AWRA Annual Water Resources Conference Nov , 2012 Jacksonville, Florida Using Lumen to Setup Parameter Regionalization Scheme Initial parameter file in lumen Parameter file for regionalization in lumen Calibration gage (poi_type=1) Gage (poi_type=0) Stream segment break PRMS parameter poi_type ROUNDS

AWRA Annual Water Resources Conference Nov , 2012 Jacksonville, Florida Using Lumen to Setup Parameter Regionalization Scheme Options for checking out child parameter files Check Out: Parameter File Calibration Session File Climate Input Files

AWRA Annual Water Resources Conference Nov , 2012 Jacksonville, Florida Using Lumen to Setup Parameter Regionalization Scheme Options for checking out child parameter files Check Out: Parameter File Calibration Session File Climate Input Files

AWRA Annual Water Resources Conference Nov , 2012 Jacksonville, Florida Using Lumen to Setup Parameter Regionalization Scheme Check Out Round 1 Calibrate Check In Check in for parameter files

AWRA Annual Water Resources Conference Nov , 2012 Jacksonville, Florida Luca wizard-style user-friendly GUI provides an easy systematic way of building and executing a multiple- objective, stepwise, automated calibration procedure for PRMS uses the Shuffled Complex Evolution global search algorithm Hay, L.E., Leavesley, G.H., Clark, M.P., Markstrom, S.L., Viger, R.J., and Umemoto, M., 2006, Step-Wise, Multiple Objective Calibration Of A Hydrologic Model For A Snowmelt-Dominated Basin, Journal of American Water Resources. Hay, L.E., Umemoto, M., 2006, Multiple-objective stepwise calibration using Luca: U.S. Geological Survey Open-File Report , 25p.

AWRA Annual Water Resources Conference Nov , 2012 Jacksonville, Florida Luca Session File

AWRA Annual Water Resources Conference Nov , 2012 Jacksonville, Florida Using Lumen to Setup Parameter Regionalization Scheme Options for checking out child parameter files Round 2 Check Out: Parameter File Luca Session File Climate Input Files

AWRA Annual Water Resources Conference Nov , 2012 Jacksonville, Florida Using Lumen to Setup Parameter Regionalization Scheme Options for checking out child parameter files Round 2 Check Out: Parameter File Luca Session File Climate Input Files Calibrated in Round 1

AWRA Annual Water Resources Conference Nov , 2012 Jacksonville, Florida Spatially distributed parameters Calibrated in Round 1 Luca Session files generated by lumen

AWRA Annual Water Resources Conference Nov , 2012 Jacksonville, Florida Rodney Knight (TN WSC) Ana Maria Garcia (NC WSC) Jacob LaFontaine (GA WSC) Jeffrey Riley (GA WSC) Rodney Knight (TN WSC) Ana Maria Garcia (NC WSC) Jacob LaFontaine (GA WSC) Jeffrey Riley (GA WSC) WaterSMART Flow Model Comparison Project Time series of estimated daily flows compared using statistically- and physically-based models. 199 gages identified in the study domain as suitable for calibration/validation Leave-one-out cross- validation WaterSMART Flow Model Comparison Project Time series of estimated daily flows compared using statistically- and physically-based models. 199 gages identified in the study domain as suitable for calibration/validation Leave-one-out cross- validation Lumen application: NHM in SE Lumen

AWRA Annual Water Resources Conference Nov , 2012 Jacksonville, Florida Summary Regionalization approach using Luca and Lumen o Ana Maria Garcia – Alabama o Jacob LaFontiane – ACF o Eddie Haj – Upper Missouri o Ana Maria Garcia – Alabama o Ashley Can Beusekom – Puerto Rico o Steve Markstrom – S. Platte Combine with Monthly Water Balance Model (MWBM) and with statistically based methods (SBM) o Bock – MWBM o Session in afternoon on SBM (Kiang, Over, Archfield, and Farmer)

AWRA Annual Water Resources Conference Nov , 2012 Jacksonville, Florida