Modeling Rainfall Runoff and Snowmelt in the Pine Flat Watershed By Rachael Hersh-Burdick USACE Water Management Sacramento District UC Davis Civil and.

Slides:



Advertisements
Similar presentations
C2 NWS Snow Model. C2 Snow Model Terms  SWE - Snow water equivalent  AESC - Areal extent of snow cover  Heat Deficit - Energy required to bring the.
Advertisements

Figure 1. Storage capacity of the Sierra Nevada snowpack in comparison to dams and reservoirs. Information from the California Department of Water Resouces.
Watershed Hydrology, a Hawaiian Prospective: Evapotranspiration Ali Fares, PhD Evaluation of Natural Resource Management, NREM 600 UHM-CTAHR-NREM.
Sacramento Soil Moisture Accounting Model (SAC-SMA)
Hydrological Modeling for Upper Chao Phraya Basin Using HEC-HMS UNDP/ADAPT Asia-Pacific First Regional Training Workshop Assessing Costs and Benefits of.
U.S. Department of the Interior U.S. Geological Survey Lake Evaporation using Energy Budget Method: Walker Lake, NV - a case study In cooperation with.
Dr. Martin T. Auer Michigan Tech Department of Civil & Environmental Engineering Surface Water Supply.
Hydrologic Abstractions
The Impacts of Climate Change on Portland’s Water Supply Richard Palmer and Margaret Hahn University of Washington Department of Civil and Environmental.
Sandy Deserts Negligible Evaporation Q*  Q H + Q G Not terribly high Instability in afternoon.
Using 925 mb Temperatures to Improve Operational River Forecasts Ronald S. W. Horwood Meteorologist National Weather Service Northeast River Forecast Center.
Lecture ERS 482/682 (Fall 2002) Snow hydrology ERS 482/682 Small Watershed Hydrology.
Hydrological Modeling FISH 513 April 10, Overview: What is wrong with simple statistical regressions of hydrologic response on impervious area?
CNRFC Operational Flood Forecasting Pete Fickenscher Hydrologist California-Nevada River Forecast Center National Weather Service October 18, 2006.
Engineering Hydrology (ECIV 4323)
Outline Background, climatology & variability Role of snow in the global climate system Indicators of climate change Future projections & implications.
CRFS March 30, Virgin River NWS-SWS: 90 NWS-ESP: (+8-15% El Nino weighted) NRCS daily: 80 NRCS statistical: 78 Coordinated: 80 / 195% median.
MODELING OF COLD SEASON PROCESSES Snow Ablation and Accumulation Frozen Ground Processes.
Intervening flow forecasts (inflow between Lake Mead and Lake Powell) Inflow forecasts needs between Davis & Parker – Havasu operational limits Forecast.
One-Dimensional Sea Ice-Ocean Model Applied to SHEBA Experiment in Winter Paper Review One-Dimensional Sea Ice-Ocean Model Applied to SHEBA.
Atmospheric Processes Associated with Snow Cover Ablation Events and their Effect on the Flood Hydroclimatology of the Chesapeake Bay Gina Henderson and.
Flow Estimation in the Wood River Sub-Basin. Study Motivation To estimate an historical record at the mouth of the Wood River. –Enables comparison of.
Hydrologic Modeling with SSARR and HEC-HMS
Distinct properties of snow
These notes are provided to help you pay attention IN class. If I notice poor attendance, fewer notes will begin to appear on these pages Snow Measuring.
Weather Temporary behavior of atmosphere (what’s going on at any certain time) Small geographic area Can change rapidly.
NWS Calibration Workshop, LMRFC March, 2009 Slide 1 Analysis of Evaporation Basic Calibration Workshop March 10-13, 2009 LMRFC.
HEC-HMS Runoff Computation.
LL-III physics-based distributed hydrologic model in Blue River Basin and Baron Fork Basin Li Lan (State Key Laboratory of Water Resources and Hydropower.
IMPROVING MILLERTON LAKE FLOOD CONTROL OPERATIONS TO INCREASE WATER SUPPLY Mr. Antonio M. Buelna, P.E. Mr. Douglas DeFlitch Ms. Katie Lee October 29, 2009.
US Army Corps of Engineers BUILDING STRONG ® Omaha Districts Inflow Forecast Regression Analysis Carrie Vuyovich and Steven Daly ERDC-CRREL Cold Regions.
CE 424 HYDROLOGY 1 Instructor: Dr. Saleh A. AlHassoun.
MODSCAG fractional snow covered area (fSCA )for central and southern Sierra Nevada Spatial distribution of snow water equivalent across the central and.
PRECIPITATION-RUNOFF MODELING SYSTEM (PRMS) SNOW MODELING OVERVIEW.
San Juan Basin. San Juan-Pagosa Springs(PSPC2) Upper ( ) Middle ( ) Lower ( ) San Juan-Pagosa Springs(PSPC2)
Engineering Hydrology (ECIV 4323)
Evaluating Utah Energy Balance Snowmelt Model in Operational Forecasting John A Koudelka David Tarboton Utah State University 3/26/2015.
Remote sensing for surface water hydrology RS applications for assessment of hydrometeorological states and fluxes –Soil moisture, snow cover, snow water.
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.
What Happens to Precipitation?
1 Initial Investigation Red River of the North Floods March, April 2009 OHD Mike Smith, Victor Koren, Ziya Zhang, Naoki Mizukami, Brian Cosgrove, Zhengtao.
Kinetic Energy In The Atmosphere Kinetic Energy is the energy of motion Heat - the total kinetic energy of the atoms composing a substance (atmospheric.
2 009 W ater S upply F orecasting William B. Reed Senior Hydrologist Colorado Basin RFC September 18, W ater S eminar “Dust in the Wind and.
Ground Water Assessment Drought Management Advisory Council Meeting April 1, 2010 Nat Wilson ( or Ground Water Management.
ENVI 412 Hydrologic Losses and Radar Measurement Dr. Philip B. Bedient Rice University.
US Army Corps of Engineers BUILDING STRONG ® Corps of Engineers Omaha District Forecast Update Brian Twombly Kellie Bergman January 2010 Jay Lincoln.
ENVI 412 Hydrologic Losses and Radar Measurement Dr. Philip B. Bedient Rice University.
The hydrologic cycle The story of a drop in the proverbial “bucket”
Watersheds and River Basins
BUILDING AND RUNNING THE HYDROLOGICAL MODEL
The Water Cycle.
GIS in Water Resources Term Project Fall 2004 Michele L. Reba
Continuous runoff simulation model below Red Butte Creek Reservoir including snowmelt Term Project, CEE6440, Fall2016.
Engineering Hydrology (ECIV 4323)
Kootenai Basin Spring/Summer Operations for 2016
Hydrologic Analysis PART 2
Hydrologic River Routing
Flow Prediction on the Yampa River
The Red River Flood of 1997 in Grand Forks, North Dakota
Hydrology CIVL341.
Hydrology CIVL341 Introduction
Kootenai Basin Spring/SummerOperations for 2016
Forests, water & research in the Sierra Nevada
Engineering Hydrology (ECIV 4323)
EVAPORATION MEASURMENTS EVAPORATION MEASURMENTS.
Humidity Absolute Humidity
Hydrology CIVL341 Introduction
Engineering Hydrology (ECIV 4323)
HEC-HMS Runoff Computation Modeling Direct Runoff with HEC-HMS Empirical models Empirical models - traditional UH models - traditional UH models - a.
Presentation transcript:

Modeling Rainfall Runoff and Snowmelt in the Pine Flat Watershed By Rachael Hersh-Burdick USACE Water Management Sacramento District UC Davis Civil and Environmental Engineering Department

Goals of Pine Flat Modeling Project Can HEC-HMS accurately model snowmelt runoff volume? Can HEC-HMS accurately model snowmelt runoff volume? Inflow model for reservoir operators Inflow model for reservoir operators Create comfort and familiarity with HEC-HMS in Corps Sac District Create comfort and familiarity with HEC-HMS in Corps Sac District

Overview Characteristics of Pine Flat Characteristics of Pine Flat Model Structure Model Structure Snow-Melt Modeling with HEC-HMS Snow-Melt Modeling with HEC-HMS

Why model Pine Flat? Pine Flat Reservoir Elev. 970 ft

Central Valley Project Watersheds Pine Flat Basin Pine Flat Basin Mean elevation: 7,635 ftMean elevation: 7,635 ft Elevation Range: 700 – 14,000 ftElevation Range: 700 – 14,000 ft Area = 1,541 mi 2Area = 1,541 mi 2

Why model snowmelt? Average April 1 volume of water stored in the snow pack = 1.8 MAF Average April 1 volume of water stored in the snow pack = 1.8 MAF Reservoir Storage = 1.0 MAF Reservoir Storage = 1.0 MAF

Pine Flat Dam

Pine Flat Precipitation (& Discharge) Gages ’97 Event Kings R Above Trimmer Kings R Below Trimmer Pine Flat Flow in (computed)

Temp Groundmelt Rain on snow vs Sun on snow Snow cold content f(snow density, temp) Wind Basic Snowmelt Modeling Concepts

Numerical Snow Models Energy Budget Components Components WindWind TemperatureTemperature Water VaporWater Vapor Radiation (net)Radiation (net) PrecipitationPrecipitation Advection (rain)Advection (rain) GroundmeltGroundmelt Detailed (layered) snow pack Detailed (layered) snow pack Temperature Index Components Components TemperatureTemperature PrecipitationPrecipitation Single layer snow Single layer snow Calibration of meltrate coefficient implicitly accounts for other factors Calibration of meltrate coefficient implicitly accounts for other factors (Dr. Steve Daly)

Temperature Index Degree-day approach Degree-day approach Fixed amount of snowmelt for each degree above freezingFixed amount of snowmelt for each degree above freezing Primary Equation: Primary Equation: Snowmelt= (Air –Freezing Temp)*C C = time variant factor that includes:Snowmelt= (Air –Freezing Temp)*C C = time variant factor that includes: total heat transfer at snow surface (LW & SW radiation)total heat transfer at snow surface (LW & SW radiation) latent heatlatent heat sensible heatsensible heat wind speed, aspect, slope, vegetationwind speed, aspect, slope, vegetation MeltrateMeltrate

Kings River Below North Fork ’97 Event Blue = Daily observed Flow; Red = Daily modeled flow

Getting a Better Calibration…. Different temperature gage Different temperature gage Adjust number of elevation bands Adjust number of elevation bands Increase baseflow Increase baseflow

Pine Flat SWE & Temperature Gages from ’97 Event

Snow Water Equivalent Blue = Observed; Red= Modeled (in Reynold’s Creek Example)

Getting a Better Calibration…. Different temperature gage Different temperature gage Adjust number of elevation bands Adjust number of elevation bands Increase baseflow Increase baseflow Create more subbasins Create more subbasins

The End