Jet Propulsion Laboratory California Institute of Technology. ASO In The Tuolumne: 3 Years Of Basin SWE, and PRMS Assimilation Results

Similar documents
ABSTRACT INTRODUCTION

AIRBORNE SNOW OBSERVATORY: NEXT GENERATION OF BASIN SNOW MEASUREMENT, MODELING, AND FORECASTING. Bruce J. McGurk 1 and Thomas H. Painter 2 ABSTRACT

San Francisco Public Utilities Commission Hydrological Conditions Report For April 2014

Real Time (RT) Snow Water Equivalent (SWE) Simulation May 11, 2014 Sierra Nevada Mountains, California

Water information system advances American River basin. Roger Bales, Martha Conklin, Steve Glaser, Bob Rice & collaborators UC: SNRI & CITRIS

San Francisco Public Utilities Commission Hydrological Conditions Report For March 2016

Real Time Snow Water Equivalent (SWE) Simulation March 29, 2015 Sierra Nevada Mountains, California

Real Time Snow Water Equivalent (SWE) Simulation February 5, 2014 Sierra Nevada Mountains, California

Sierra Nevada Hydroclimatology: An Experimental Prediction of Maximum Daily Snowmelt Discharge in 2005

ASO in Colorado: supporting resilient water management through research support & emerging partnerships

Figure 2. April 8, 2011 spatial SWE shown for the Weber, UT watershed.

Snowcover along elevation gradients in the Upper Merced and Tuolumne River basin of the Sierra Nevada of California from MODIS and blended ground data

Lake Tahoe Watershed Model. Lessons Learned through the Model Development Process

Folsom Dam Water Control Manual Update

Forecast Methods, Products, and Services for the San Joaquin River Basin. Mission of NWS Hydrologic Services Program

MODIS True Color Terra image from from NASA WorldView (worldview.earthdata.nasa.gov)

Novel Snotel Data Uses: Detecting Change in Snowpack Development Controls, and Remote Basin Snow Depth Modeling

Operational Perspectives on Hydrologic Model Data Assimilation

WESTERN SNOW CONFERENCE

Mapping the extent of temperature-sensitive snowcover and the relative frequency of warm winters in the western US

Climatic Change Implications for Hydrologic Systems in the Sierra Nevada

A BRIEF HISTORY OF EVALUATIONS PERFORMED ON THE OPERATIONAL KINGS RIVER WINTER OROGRAPHIC CLOUD SEEDING PROGRAM. Don A. Griffith and David P.

NRC Workshop Probabilistic Flood Hazard Assessment (PFHA) Jan 29-31, Mel Schaefer Ph.D. P.E. MGS Engineering Consultants, Inc.

9. PROBABLE MAXIMUM PRECIPITATION AND PROBABLE MAXIMUM FLOOD

Operational Hydrologic Ensemble Forecasting. Rob Hartman Hydrologist in Charge NWS / California-Nevada River Forecast Center

Surface & subsurface processes in mountain environments

Natural Variability in Annual Maximum Water Level and Outflow of Yellowstone Lake

The National Operational Hydrologic Remote Sensing Center Operational Snow Analysis

Colorado River Management under Uncertainty

Management of Natural and Environmental Resources for Sustainable Agricultural Development

QPF? So it s a Land-falling Atmospheric River, Can That Help the Forecaster Make a Better. David W. Reynolds

CW3E Atmospheric River Update

Leveraging new models and data to improve flood stage forecast. Improving Flood Stage Forecasting in the Feather River Watershed. September 11 th 2015

Merced Irrigation District Hydrologic and Hydraulic Operations (MIDH2O) Model

Quenching the Valley s thirst: The connection between Sierra Nevada snowpack & regional water supply

A Review of the 2007 Water Year in Colorado

Integrating Weather Forecasts into Folsom Reservoir Operations

Riverine Modeling Proof of Concept

CW3E Atmospheric River Summary

Snow-fed streamflow timing at different basin scales: Case study of. the Tuolumne River above Hetch Hetchy, Yosemite, California

NRC Workshop - Probabilistic Flood Hazard Assessment Jan 2013

The following information is provided for your use in describing climate and water supply conditions in the West as of April 1, 2003.

Sierra Weather and Climate Update

Inter-linkage case study in Pakistan

NIDIS Intermountain West Drought Early Warning System March 26, 2019

WSWC/NOAA Workshops on S2S Precipitation Forecasting

Flood Forecasting Tools for Ungauged Streams in Alberta: Status and Lessons from the Flood of 2013

Central Asia Regional Flash Flood Guidance System 4-6 October Hydrologic Research Center A Nonprofit, Public-Benefit Corporation

USA National Weather Service Community Hydrologic Prediction System

Section 4: Model Development and Application

Water Year Day 2010

Appendix E Plots from the Evaluation of the CNRFC Operational Hydrologic Model

NIDIS Intermountain West Regional Drought Early Warning System February 7, 2017

DK DM M EMORANDUM D ECEMBER 28, 2018 SUBJECT:

Interaction of North American Land Data Assimilation System and National Soil Moisture Network: Soil Products and Beyond

Operational water balance model for Siilinjärvi mine

Prediction of Snow Water Equivalent in the Snake River Basin

California Nevada River Forecast Center Updates

PERCENT BIAS ASSESSMENT OF WATER-SUPPLY OUTLOOKS IN THE COLORADO RIVER BASIN. Brent Harrison 1 and Roger Bales 2 ABSTRACT INTRODUCTION

Missouri River Basin Water Management

Study 16.5 Probable Maximum Flood (PMF)

HyMet Company. Streamflow and Energy Generation Forecasting Model Columbia River Basin

Webinar and Weekly Summary February 15th, 2011

Open Source ENKI: Dynamic Environmental Model Framework. A possible pre-processor for WRF-Hydro?

Snow-fed streamflow timing at different basin scales: Case study of the Tuolumne River above Hetch Hetchy, Yosemite, California

Speakers: NWS Buffalo Dan Kelly and Sarah Jamison, NERFC Jeane Wallace. NWS Flood Services for the Black River Basin

-Assessment of current water conditions. - Precipitation Forecast. - Recommendations for Drought Monitor

March 1, 2003 Western Snowpack Conditions and Water Supply Forecasts

Lower Tuolumne River Accretion (La Grange to Modesto) Estimated daily flows ( ) for the Operations Model Don Pedro Project Relicensing

A Report on a Statistical Model to Forecast Seasonal Inflows to Cowichan Lake

Hannah Moore CEE Juvenile Bull Trout Distribution in the South Fork Walla Walla River, Oregon

Water, geology, climate & soils: Sierra Nevada, Merced River & Central Valley connections

Watershed simulation and forecasting system with a GIS-oriented user interface

Use of Snow Data from Remote Sensing in Operational Streamflow Prediction

FY 2002 ANNUAL PROJECT REPORT PROJECT NUMBER: 107. I. Project Title: Gunnison River / Aspinall Unit Temperature Model: Phase II

Folsom Dam Water Control Manual Update Joint Federal Project, Folsom Dam

The Stochastic Event Flood Model Applied to Minidoka Dam on the Snake River, Idaho

GUNNISON RIVER / ASPINALL UNIT TEMPERATURE STUDY - PHASE II

CW3E Atmospheric River Update Outlook Strong AR forecast to impact California this weekend - A strong AR with IVT as high as 1000 kg m -1 s -1 is

Detailed Storm Rainfall Analysis for Hurricane Ivan Flooding in Georgia Using the Storm Precipitation Analysis System (SPAS) and NEXRAD Weather Radar

Appendix A Calibration Memos

Weather History on the Bishop Paiute Reservation

Preliminary Runoff Outlook February 2018

Snow, Snowpacks and Runoff. David G Tarboton Charles H Luce

Improving Streamflow Prediction in Snow- fed River Basins via Satellite Snow Assimilation

DRI s Cloud Seeding Program: Tahoe-Truck Project Results for Water Year Jeff Tilley, Arlen Huggins, and Robert David

A spatially distributed energy balance snowmelt model for application in mountain basins

An investigation of sampling efficiency using historical data. Patrick Didier Advisor: Justine Blanford

Modeling of peak inflow dates for a snowmelt dominated basin Evan Heisman. CVEN 6833: Advanced Data Analysis Fall 2012 Prof. Balaji Rajagopalan

Looking for Recent Climatic Trends and Patterns in California s Central Sierra

Workshop: Build a Basic HEC-HMS Model from Scratch

Zachary Holden - US Forest Service Region 1, Missoula MT Alan Swanson University of Montana Dept. of Geography David Affleck University of Montana

Climate Change Impact on Drought Risk and Uncertainty in the Willamette River Basin

Applying GIS to Hydraulic Analysis

DEVELOPMENT OF A LARGE-SCALE HYDROLOGIC PREDICTION SYSTEM

CW3E Atmosphere River Update - Summary

THE ROLE OF MICROSTRUCTURE IN FORWARD MODELING AND DATA ASSIMILATION SCHEMES: A CASE STUDY IN THE KERN RIVER, SIERRA NEVADA, USA

NIDIS Intermountain West Drought Early Warning System April 18, 2017

Napa County Comprehensive Groundwater Monitoring Program 2015 Annual Report and CASGEM Update

California Water Supply Outlook Report

Transcription:

ASO In The Tuolumne: 3 Years Of Basin SWE, and PRMS Assimilation Results Bruce J. McGurk and Thomas H. Painter & ASO Team Hydroclimate Workshop, 8 Oct. 2015

Need frequent, dense SWE data at all elevations Manual measurement of SWE (snow water equivalent), started in the Sierra Nevada in 1910

Snow Measurement - Tuolumne 17 snow courses, 5 below 7000 ft, 3 > 9000 ft Only 8 snow sensors, 5 co-located 80 sq ft/sensor, 20 sq ft/course =.06 millionth of a percent of the basin is measured

Landsat Snowcover, 1/18/2015

MODSCAG from MODIS, 3/05/15

ASO scan configuration: Riegl Q1560 scanning LiDAR, Itres CASI-1500 imaging spectrometer

ASO footprint, Merced Basin, 3/05/2015

LiDAR & Spectrometer Pipeline

ASO SWE - Tuolumne Basin 2014

Jump to folder! Tuolumne basin SWE video

Basin SWE, Inflow, & Storage-2013 400,000 2013 Tuolumne ASO Basin SWE, HH Inflow & Storage 4,500 350,000 4,000 SWE & Storage (Acre Feet) 300,000 250,000 200,000 150,000 100,000 Basin SWE(AF) HH Storage(AF) HH Capacity(AF) HH inflow cfs 3,500 3,000 2,500 2,000 1,500 1,000 Inflow (cfs) 50,000 500 0 0

Basin SWE, Inflow, & Storage-2014 400,000 2014 Tuolumne ASO Basin SWE, HH Inflow & Storage Basin SWE (AF) 3,500 350,000 HH Storage (AF) 3,000 SWE & Storage (AF) 300,000 250,000 200,000 150,000 100,000 HH Capacity (AF) HH inflow cfs 2,500 2,000 1,500 1,000 Inflow (cfs) 50,000 500 0 0

Basin SWE, Inflow, & Storage-2015 400,000 350,000 300,000 2015 Tuolumne ASO Basin SWE, HH Inflow & Storage Basin SWE (AF) HH Storage (AF) HH Capacity (AF) HH inflow cfs 2,400 1,900 SWE & Storage (AF) 250,000 200,000 150,000 100,000 50,000 1,400 900 400 Inflow (cfs) 0-100

3 Years of ASO SWE and HH Inflow Rates ASO HH Basin SWE & Inflow - Tuolumne - 2013 vs 2014 vs 2015 ASO Basin SWE (AF) 225,000 200,000 175,000 150,000 125,000 100,000 75,000 2013 Basin SWE (AF) 2014 Basin SWE (AF) 2015 Basin SWE (AF) 2013 HH Inflow (cfs) 2014 HH Inflow (cfs) 2015 HH Inflow (cfs) 10,000 9,000 8,000 7,000 6,000 5,000 4,000 3,000 Hetch Hetchy Inflow (cfs) 50,000 2,000 25,000 1,000 0 0 2/16 2/23 3/2 3/9 3/16 3/23 3/30 4/6 4/13 4/20 4/27 5/4 5/11 5/18 5/25 6/1 6/8 6/15

ASO SWE Here USGS PRMS Hydrologic Budget

Hetch Hetchy Basin Stations & PRMS HRUs SWE (Meters)

PRMS Screens

3750 3250 2750 2250 1750 1250 750 250 Obs. HH Inflow (cfs) Raw PRMS basin_cfs ASO PRMS basin_cfs CNRFC basin_cfs 5/15/2013 5/16/2013 5/17/2013 5/18/2013 5/19/2013 5/20/2013 5/21/2013 5/22/2013 5/23/2013 5/24/2013 5/25/2013 5/26/2013 5/27/2013 5/28/2013 5/29/2013 5/30/2013 5/31/2013 6/1/2013 6/2/2013 6/3/2013 6/4/2013 6/5/2013 6/6/2013 6/7/2013 6/8/2013 6/9/2013 6/10/2013 6/11/2013 6/12/2013 6/13/2013 6/14/2013 6/15/2013 6/16/2013

4,000.0 Jet Propulsion Laboratory 2014 Hetch Hetchy Observed & Forecasted Inflow 5/17 PRMS Forecast 3,500.0 5/17 ASO Forecast HH Estimated Inflow 3,000.0 2,500.0 Inflow (cfs) 2,000.0 1,500.0 1,000.0 500.0 0.0 5/1/2014 5/2/2014 5/3/2014 5/4/2014 5/5/2014 5/6/2014 5/7/2014 5/8/2014 5/9/2014 5/10/20 5/11/20 5/12/20 5/13/20 ASO SWE Results Assimilated into PRMS 5/14/20 5/15/20 5/16/20 5/17/20 5/18/20 5/19/20 5/20/20 5/21/20 5/22/20 5/23/20 5/24/20 5/25/20 5/26/20 5/27/20 5/28/20 5/29/20 5/30/20 5/31/20 6/1/2014

2014 Hetch Hetchy Observed & Forecasted Inflow 3,500.0 5/27 PRMS Forecast 3,000.0 5/27 ASO Forecast HH Estimated Inflow 2,500.0 Inflow (cfs) 2,000.0 1,500.0 1,000.0 500.0 0.0 ASO SWE Results Assimilated into PRMS

2014 Hetch Hetchy Observed & Forecasted Inflow 3,500 5/31 PRMS Forecast 3,000 2,500 5/31 ASO Forecast HH Observed Inflow Inflow (cfs) 2,000 1,500 1,000 500 0 ASO SWE Results Assimilated into PRMS

2,500 2,000 2015 Hetch Hetchy Observed & Forecasted Inflow ASO SWE Results Assimilated into PRMS Inflow (cfs) 1,500 1,000 500 0 4/09 PRMS Forecast 4/09 ASO Forecast HH Estimated Inflow

2,500 2,000 2015 Hetch Hetchy Observed & Forecasted Inflow ASO SWE Results Assimilated into PRMS Inflow (cfs) 1,500 1,000 500 0 4/15 PRMS Forecast 4/15 ASO Forecast HH Estimated Inflow

Modeling Needs ASO results are gridded (3-50 m 2 ), and PRMS polygons (HRU s) are 1,000 to 10,000 acres. Further discretization is desired. Advanced snowmelt routines now exist that use long- and shortwave radiation. Current version of PRMS uses a temperature-index algorithm, calibrated with shortwave radiation records. Albedo (percentage of reflected shortwave insolation) is measured by ASO, but is not able to be input into PRMS. Assimilation of ASO Data is possible, but best procedure that guarantees stable predictions has not been identified. Good model predictions depend on good upper elevation forcing data, and most basins have minimal climate stations at high elevations, most particularly precipitation information.

ASO IN 2015 In California, flights over Tuolumne, Merced, Big Pine, Lone Pine, Rush Creek, Kings, a some forest fire sites In Colorado, flights over Uncompaghre Basin and parts of the rest of Colo. River Basin In Washington, flights over Olympic Park In Idaho, flights over Reynolds Creek Exp. Watershed

Sierra Nevada in the future Base airport: Dryden/Edwards Air Force Base - California, USA Total Flight time: 9 hrs 9 min Time taking data (includes turns): 7 hrs 56 min Number of flights: 2 All airports used: Dryden/Edwards Air Force Base - California, USA Mammoth June Lakes (MMH) - Mammoth Lakes, California, USA

ASO Summary ASO provides a more complete picture of basin snow water storage for water management End-to-end ASO operations (hardware, software, data products) have been demonstrated An operational system would benefit CA and.. In both 2014 and 2015, ASO information confirmed DRY forecasts, no water was released for power or ecological benefits. ASO operations expanding in 2016 and beyond.

WISKI in Forecasting WISKI aids forecasting by gathering climate and flow data in single place, common format While some QA/QC is possible in WISKI, more advanced QC recommended before model runs WISKI can produce reports of stations in useredited list, and text/csv can be imported into Excel Routine multi-station plotting routines can be implemented is WISKI as part of a QC process Need for simple export tools, and then tool to import modified data.

Questions?