USGS, Denver, Colorado USA

Slides:



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

THE MODULAR MODELING SYSTEM (MMS)
Multi-sensor and multi-scale data assimilation of remotely sensed snow observations Konstantinos Andreadis 1, Dennis Lettenmaier 1, and Dennis McLaughlin.
A MODELING FRAMEWORK FOR IMPROVED AGRICULTURAL WATER- SUPPLY FORECASTING George Leavesley 1, Olaf David 1, David Garen 2, Angus Goodbody 2, Jolyne Lea.
Alan F. Hamlet Andy Wood Dennis P. Lettenmaier JISAO Center for Science in the Earth System Climate Impacts Group and Department of Civil and Environmental.
The Modular Modeling System (MMS): A Toolbox for Water- and Environmental-Resources Modeling and Management G.H. Leavesley, S.L. Markstrom, R.J. Viger,
Coupled Model Exercise Exercise 3 George H. Leavesley, Research Hydrologist, USGS, Denver, CO.
Watershed and River Management Program (WaRSMP) Description of Yakima River Basin and Yakima Storage Project MMS and Yakima River Basin models Global Climate-Change.
The role of spatial and temporal variability of Pan-arctic river discharge and surface hydrologic processes on climate Dennis P. Lettenmaier Department.
Use of Multi-Model Super-Ensembles in Hydrology Lauren Hay George Leavesley Martyn Clark * Steven Markstrom Roland Viger U.S. Geological Survey Water Resources.
Tools For Drought Management Water Management in the face of droughts require Skilful Hydrologic Forecasting/Simulation Tool »Statistical or Hydrologic.
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
A Macroscale Glacier Model to Evaluate Climate Change Impacts in the Columbia River Basin Joseph Hamman, Bart Nijssen, Dennis P. Lettenmaier, Bibi Naz,
Soil Water Assessment Tool (SWAT) Model Input
June 23, 2011 Kevin Werner NWS Colorado Basin River Forecast Center 1 NOAA / CBRFC Water forecasts and data in support of western water management.
Colorado Basin River Forecast Center Water Supply Forecasting Method Michelle Stokes Hydrologist in Charge Colorado Basin River Forecast Center April 28,
Andy Wood, Ted Bohn, George Thomas, Ali Akanda, Dennis P. Lettenmaier University of Washington west-wide experimental hydrologic forecast system OBJECTIVE.
Water Supply Forecast using the Ensemble Streamflow Prediction Model Kevin Berghoff, Senior Hydrologist Northwest River Forecast Center Portland, OR.
The Upper Rio Grande. Multi-objective River and Reservoir System Modeling Flood Control Water Supply Navigation Aquatic/Riparian Habitat Recreational.
MODELING OF COLD SEASON PROCESSES Snow Ablation and Accumulation Frozen Ground Processes.
WaterSmart, Reston, VA, August 1-2, 2011 Steve Markstrom and Lauren Hay National Research Program Denver, CO Jacob LaFontaine GA Water.
Great Valley Water Resources Science Forum
Patrick Broxton (University of Arizona) Michael Schaffner (National Weather Service) Peter Troch (University of Arizona) Dave Goodrich (USDA–ARS–SWRC)
USGS Watershed Model Evolution – RRM(1972) to GSFLOW(2012) USGS Watershed Model Evolution – RRM(1972) to GSFLOW(2012) George Leavesley, USGS Retired and.
Modeling water and biogeochemical cycles in the Front Range, Colorado: effects of climate and landuse changes Landrum, Laura L., Natural Resource Ecology.
Advances in Macroscale Hydrology Modeling for the Arctic Drainage Basin Dennis P. Lettenmaier Department of Civil and Environmental Engineering University.
AWRA Water Resources Conference Jacksonville, FL, November Modeling of Watershed Systems Lauren Hay Steve Markstrom Steve Regan.
Model Parameter Estimation Experimant (MOPEX). Science Issues What models are most appropriate for different climatic and physiographic regions? What.
Formetta et al., CAHMDA IV Lhasa July GEOtop/OMS3 - Model Integration and Case Study. Formetta G. et al., University of Trento (Italy) OR:
Watershed Assessment and Planning. Review Watershed Hydrology Watershed Hydrology Watershed Characteristics and Processes Watershed Characteristics and.
Streamflow Predictability Tom Hopson. Conduct Idealized Predictability Experiments Document relative importance of uncertainties in basin initial conditions.
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.
Integration of SNODAS Data Products and the PRMS Model – An Evaluation of Streamflow Simulation and Forecasting Capabilities George Leavesley 1, Don Cline.
Center for Science in the Earth System Annual Meeting June 8, 2005 Briefing: Hydrology and water resources.
THE MODULAR MODELING SYSTEM (MMS) and PRMS Tools for the development, application, and analysis of hydrologic and ecosystem models Other components and.
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.
PRECIPITATION-RUNOFF MODELING SYSTEM (PRMS) SNOW MODELING OVERVIEW.
An Adaptive Management Model for the Red River Basin of the North.
Evaluating Utah Energy Balance Snowmelt Model in Operational Forecasting John A Koudelka David Tarboton Utah State University 3/26/2015.
Understanding hydrologic changes: application of the VIC model Vimal Mishra Assistant Professor Indian Institute of Technology (IIT), Gandhinagar
The NOAA Hydrology Program and its requirements for GOES-R Pedro J. Restrepo Senior Scientist Office of Hydrologic Development NOAA’s National Weather.
PRECIPITATION-RUNOFF MODELING SYSTEM (PRMS) SNOW MODELING OVERVIEW.
Additional data sources and model structure: help or hindrance? Olga Semenova State Hydrological Institute, St. Petersburg, Russia Pedro Restrepo Office.
CE 394K.2 Surface Water Hydrology Lecture 1 – Introduction to the course Readings for today –Applied Hydrology, Chapter 1 –“Integrated Observatories to.
INNOVATIVE SOLUTIONS for a safer, better world Capability of passive microwave and SNODAS SWE estimates for hydrologic predictions in selected U.S. watersheds.
1 National HIC/RH/HQ Meeting ● January 27, 2006 version: FOCUSFOCUS FOCUSFOCUS FOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS.
Fine-Resolution, Regional-Scale Terrestrial Hydrologic Fluxes Simulated with the Integrated Landscape Hydrology Model (ILHM) David W Hyndman Anthony D.
Colorado Basin River Forecast Center and Drought Related Forecasts Kevin Werner.
1 Understanding Sources of Error and Uncertainty NOAA’S COLORADO BASIN RIVER FORECAST CENTER.
Hydrologic Forecasting Alan F. Hamlet Dennis P. Lettenmaier JISAO/CSES Climate Impacts Group Dept. of Civil and Environmental Engineering University of.
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,
General Introduction. Developed by USGS Freely available via Internet
DEVELOPMENT OF A CELL BASED MODEL FOR STREAM FLOW PREDICTION IN UNGAUGED BASINS USING GIS DATA P B Hunukumbura & S B Weerakoon Department of Civil Engineering,
Hydrological impacts of climate change over the contiguous United States: Project overview.
SnowSTAR 2002 Transect Reconstruction Using SNTHERM Model July 19, 2006 Xiaogang Shi and Dennis P. Lettenmaier.
An advanced snow parameterization for the models of atmospheric circulation Ekaterina E. Machul’skaya¹, Vasily N. Lykosov ¹Hydrometeorological Centre of.
TOP_PRMS George Leavesley, Dave Wolock, and Rick Webb.
Real-time Sierra Nevada water monitoring system Context & need Importance. Climate change introduces uncertainty into water forecasts that are based on.
Bias in April 1 forecasts (underforecast) for July-April unimpaired runoff for 15 Sierra Nevada basins was about 150% of average accumulation, i.e.
Upper Rio Grande R Basin
Precipitation-Runoff Modeling System (PRMS)
Hydrologic River Routing
Hydrologic Simulation Models
Kostas M. Andreadis1, Dennis P. Lettenmaier1
Hydrology and Water Management Applications of GCIP Research
Real-time Sierra Nevada water monitoring system
Presentation transcript:

USGS, Denver, Colorado USA PRMS/MMS: A Model and Modeling Framework for Use in Water- and Environmental-Resources Management George Leavesley USGS, Denver, Colorado USA

Overview PRMS MMS Focus Areas in Model Development Summary Model Processes Toolbox Summary

PRMS

PRMS Features Modular Design Deterministic Distributed Parameter Daily and Storm Mode User Modifiable

Distributed Parameter Approach Hydrologic Response Units - HRUs HRU Delineation Based on: - Slope - Aspect - Elevation - Vegetation - Soil - Precip Distribution

HRU DELINEATION AND CHARACTERIZATION Grid Cell Hydrologic Response Units (HRUs) Polygon Hydrologic Response Units (HRUs)

PRMS -- HRU Delineation Topographic Pixelated

CASCADING FLOW PLANES Overland Flow Path Channel Segment 1 2 3 1 7 8 Overland Flow Path 10 9 1 Channel Segment 3 Channel Junction 4 3 6 2 Overland Flow Plane 2 4 width Grass/Agriculture Bare Ground/Rock 5 12 11 Trees length Shrubs

The Modular Modeling System (MMS) An integrated system of computer software developed to: Provide a common framework for model development and operational applications Facilitate the integration of multi-disciplinary modeling approaches for use in addressing complex, multi-objective, resource-management problems Provide a toolbox-approach to the development of resource-management, decision-support systems

MODULAR MODELING SYSTEM (MMS) Model Builder MMS Interface Object User Interface

LEVELS OF MODULAR DESIGN PROCESS MODEL FULLY COUPLED MODELS LOOSELY COUPLED MODELS RESOURCE MANAGEMENT DECISION SUPPORT SYSTEMS ANALYSIS AND SUPPORT TOOLS

PRMS

WEBMOD PRMS National Weather Service - Hydro17 TOPMODEL

Use Chemical and Isotopic Tracers to Evaluate Simulated Flow Paths and Residence Times Next step: Use tracers to constrain the hydrologic solutions Chloride Potassium DOC Oxygen Isotopes Bedrock Alkalinity Equifinality vs uncertainty in time and place.

Coupled WEBMOD and PHREEQC

LEVELS OF MODULAR DESIGN PROCESS MODEL FULLY COUPLED MODELS LOOSELY COUPLED MODELS RESOURCE MANAGEMENT DECISION SUPPORT SYSTEMS ANALYSIS AND SUPPORT TOOLS

GSFLOW -- Coupled PRMS, MODFLOW, SFR, and Unsaturated Zone Models PRMS to SFR Unsaturated Zone Model: PRMS to UNSAT UNSAT to MODFLOW PRMS to MODFLOW MODFLOW to SFR Streamflow

2x vertical exaggeration Sagehen Creek Model 2x vertical exaggeration Springs Stream gage

Ground-Water Discharge & Saturation Excess

LEVELS OF MODULAR DESIGN PROCESS MODEL FULLY COUPLED MODELS LOOSELY COUPLED MODELS RESOURCE MANAGEMENT DECISION SUPPORT SYSTEMS ANALYSIS AND SUPPORT TOOLS

Aquatic Habitat Models Watershed Model Hydraulics Model Fish Model

Aquatic Habitat Models Results ft3/s ft2

LEVELS OF MODULAR DESIGN PROCESS MODEL FULLY COUPLED MODELS LOOSELY COUPLED MODELS RESOURCE MANAGEMENT DECISION SUPPORT SYSTEMS ANALYSIS AND SUPPORT TOOLS

Watershed and River Systems Management Program Recreation Watershed and River Systems Management Program Municipal & Industrial Irrigation Hydropower Research and development of decision support systems and their application to achieve an equitable balance among water resource issues. Riparian Habitat Endangered Species

WARSMP Basins Currently Active Gunnison, Truckee, Upper Rio Grande, Yakima Under Development San Juan, Umatilla, Upper Columbia Future Bitterroot, Carson, Central Platte, Lower Rio Grande, Salmon WARSMP Basins

Generic DSS Framework for a Wide Range of Management Issues Any Resource Management Model Climate Data Source Any Database DMI DMI DMI MMI Object User Interface Interface for data visualization and modeling Modular Modeling System Physical Process Models

Database-Centered Decision Support System Hydromet Real-time climate data feed Hydrologic Database DMI DMI USBR RiverWare Reservoir and River System Operations Model DMI DMI USGS Object User Interface Interface for data visualization and modeling USGS Modular Modeling System Precipitation/Runoff Model (PRMS)

OBJECT USER INTEFACE (OUI)

Environmental Database-Centered Decision Support System (DSS) Resource Database Resource Management Alternatives SIMPPLLE Vegetation Dynamics Models (USFS) Object User Interface Interface for data visualization and modeling Modular Modeling System Physical Process Models DMI

Focus Area Model Processes Precipitation Distribution Snow accumulation and melt proceses Parameter estimation in ungauged basins

Precipitation Interpolation Methods Inverse distance weighting Kriging Multiple linear regression Climatological multiple linear regression Locally weighted polynomial k nearest neighbor …

PRMS Snowpack Energy Balance Components

Evaluating MM5 Output Using PRMS

Nested Domains for MM5

HRU Configurations Polygon Grid

HRU Configurations

(Climate Station Data) Effects of HRU Configuration and Data Source (Yampa River @Steamboat Springs) Grid Polygon (Climate Station Data) 20 5 1.7 HRU Type/ Data Size

Satellite vs Modeled Snow Covered Area east

Animas Basin Snow-covered Area Year 2000 Simulated Measured (MODIS Satellite) Error Range <= 0.1

NOHRSC Snow Modeling Framework Data Assimilation 2 Temperature Relative Humidity Wind Speed Solar Radiation Atmos. Radiation Precipitation Precipitation Type Hourly Input Gridded Data (1 km) Soils Properties Land Use/Cover Forest Properties Static Gridded Data (1 km) Snow Energy and Mass Balance Model Blowing Snow Model Radiative Transfer Model State Variables for Multiple Vertical Snow & Soil Layers Snow Water Equivalent Snow Depth Snow Temperature Liquid Water Content Snow Sublimation Snow Melt 1 Snow Observations Snow Water Equivalent Snow Depth Snow Cover 3 NSA Product Generation Interactive Maps Digital Data Discussions

NOHRSC Snow Model Physics

National Snow Analyses (NSA) Data Products Interactive Maps Time Series Plots Text Discussions Snow Information Products High-resolution Daily and Hourly Gridded Snow Data Sets of Fused Model and Observations Local Information (1 km2) Continental U.S. Information Snow Water Equivalent Snow Depth Snow Density Snow Sfc. Temperature Snow Avg. Temperature Snow Melt Sublimation Snow Wetness Archived at NCDC, NSIDC, and NDFD (soon)

Animas River @ Durango 1805 km2

Animas River Basin, CO

Predicted and Measured Streamflow Animas Basin, CO 1990 - 2005 PREDICTED MEASURED

Animas Basin SWE - 2004 April 1 (in.) May 1 SNODAS PRMS

Animas Basin SWE - 2005 (in.) April 1 May 1 SNODAS PRMS

SWE Difference on Selected HRUs SWE_diff = SNODAS - PRMS

PRMS OBS Q (cfs) Animas PRMS SNODAS melt (in) PRMS SNODAS swe (in)

a priori Parameter Estimation IAHS Predictions in Ungauged Basins (PUBs) predict the fluxes of water and associated constituents from ungauged basins, along with estimates of the uncertainty of predictions Model Parameter Estimation Experiment (MOPEX) develop techniques for the a priori estimation of the parameters used in land surface parameterization schemes of atmospheric models and in hydrologic models

Gauged Subbasins in the Upper Gunnison Basin, CO East River Taylor River Tomichi Creek Lake Fork Cochetopa Creek

Forecasting at Internal Nodes Hunter Creek nr Aspen, Colorado Hunter Midway No Name Gage Trans-mountain Diversion Points HRUs

GIS WEASEL Delineation: Only requires elevation Grid as input Interactively delineate Area of Interest Many kinds of features Streams Elevation bands Landuse Contributing areas Topographic index ……

Satellite SW Radiation (U Md) Vegetation Type (USFS) Vegetation Density (USFS) Land Use-Land Cover (USGS) DIGITAL DATABASES STATSGO Soils (USDA) Satellite SW Radiation (U Md) Monthly PET

AUTOMATED PARAMETER ESTIMATION USING THE GIS WEASEL

MOPEX US Basin Locations Workshop I Workshop II: 20 basins in France Workshop ? 438 basins

Participants MOPEX Workshop I NWS (SWB & SAC) Meteo France (ISBA) Russian Academy of Science (SWAP) UC Berkeley / Princeton (VIC) Cemagref, France (GR4J) NCEP (NOAH) USGS (PRMS) Yamanashi University (BTOPMC) Swedish Meteor. and Hydro. Institute, Sweden (HBV) University of Alberta, Canada (SAC) University of Newcastle, Australia University of Arizona Centre for Ecology and Hydrology, UK Oregon State University Wageningen University, The Netherlands National Institute of Hydrology, Canada University of New Hampshire

MOPEX Workshop I Results Average daily Nash-Sutcliffe CE for all 12 basins Uncalibrated Calibrated PRMS NWS VIC PRMS NWS VIC

Ensemble Modeling 10 Model Ensemble

Dill Basin, Germany Topography 750 km2 Sub-basins Land Use

Bias & Efficiency of Model Simulations Original Precip Data Set

Focus Area Toolbox

TOOLBOX TOOL PITCH Parameterizer (GIS Weasel)

TOOLBOX TOOL PITCH Parameterizer (GIS Weasel) Optimizer (Luca)

Statistical and graphical sensitivity and uncertainty analysis tools TOOLBOX Statistical and graphical sensitivity and uncertainty analysis tools TOOL PITCH Parameterizer (GIS Weasel) Optimizer (Luca) Analyzer

OMS

Integrated Framework Development Collaborative effort to integrate the Object Modeling System (OMS) and the Modular Modeling System (MMS) OMS Platform ModelCore ModelBuilder RZWQM PRMS Database Netbeans IDE, Sun Forte,… Java Compiler XML Testing C++ Other… - ARS - USGS - NRCS - (NWS) -Friedrich Schiller University, Germany Branding http://oms.ars.usda.gov

Working with the NRCS and NWS to develop a Modular Modeling System forecasting toolbox using MMS/OMS and PRMS

Integrated Adaptive-Modeling and Decision-Support System Summary Facilitates multi-disciplinary integration of models and tools to address the issues of water and environmental-resource management. Allows rapid evaluation of the effects of decision and management scenarios. Allows incorporation of continuing advances in physical, social, and economic sciences. Provides an effective means for sharing scientific understanding with stakeholders and decision makers. Open source software design allows many to share resources, expertise, knowledge, and costs.

MORE INFORMATION http://wwwbrr.cr.usgs.gov/mms http://wwwbrr.cr.usgs.gov/weasel http://wwwbrr.cr.usgs.gov/warsmp http://oms.ars.usda.gov