1 OHD-CBRFC Meetings with Hydro Group April 29, 2010.

Slides:

Advertisements

Similar presentations

COMPARISON OF MEAN AREAL PRECIPITATION ESTIMATES FROM WSR-88D AND HISTORICAL GAGE NETWORKS OVER CHEAT RIVER BASIN, WV David Wang, Michael Smith, D.J. Seo.

Advertisements

Calibration of GOES-R ABI cloud products and TRMM/GPM observations to ground-based radar rainfall estimates for the MRMS system – Status and future plans.

NWS Calibration Workshop, LMRFC March, 2009 Slide 1 Sacramento Model Derivation of Initial Parameters.

Improving Snow Modeling Why should we consider using observations of SCA in the RFC forecasting process? Snowpack is obviously important. Estimates of.

Generating Quantitative Precipitation Forecasts for River Modeling

Hydrologic Outlook for the Pacific Northwest Andy Wood and Dennis P. Lettenmaier Department of Civil and Environmental Engineering for Washington Water.

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.

Development of an Ensemble Gridded Hydrometeorological Forcing Dataset over the Contiguous United States Andrew J. Newman 1, Martyn P. Clark 1, Jason Craig.

CBRFC Updates Michelle Schmidt, Hydrologist in Charge.

Colorado Basin River Forecast Center Water Supply Forecasting Method Michelle Stokes Hydrologist in Charge Colorado Basin River Forecast Center April 28,

Temperature and Precipitation Data CBRFC Stakeholder Forum July 31, 2012.

Jonathan J. Gourley Hydrometeorology Hydrometeorology: Local Testbeds and Field Results.

CPC’s U.S. Seasonal Drought Outlook & Future Plans April 20, 2010 Brad Pugh, CPC.

Water Supply Forecast using the Ensemble Streamflow Prediction Model Kevin Berghoff, Senior Hydrologist Northwest River Forecast Center Portland, OR.

Calibration Mike Smith, Victor Koren, Zhengtao Cui, Seann Reed, Fekadu Moreda DOH Science Conference July 17, 2008.

NWS Calibration Workshop, LMRFC March, Historical Data Access Basic Calibration Workshop March 10-13, 2009 LMRFC.

Assimilation of MODIS and AMSR-E Land Products into the NOAH LSM Xiwu Zhan 1, Paul Houser 2, Sujay Kumar 1 Kristi Arsenault 1, Brian Cosgrove 3 1 UMBC-GEST/NASA-GSFC;

A new prototype AMSR-E SWE operational algorithm M. Tedesco The City College of New York, CUNY, NYC With contributions from : Chris Derksen, Jouni Pulliainen,

A Statistical-Distributed Hydrologic Model for Flash Flood Forecasting International Workshop on Flash Flood Forecasting March 13, 2006 Seann Reed 1, John.

National Weather Service River Forecast System Model Calibration Fritz Fiedler Hydromet 00-3 Tuesday, 23 May East Prospect Road, Suite 1 Fort.

Experimental seasonal hydrologic forecasting for the Western U.S. Dennis P. Lettenmaier Andrew W. Wood, Alan F. Hamlet Climate Impacts Group University.

Streamflow Predictability Tom Hopson. Conduct Idealized Predictability Experiments Document relative importance of uncertainties in basin initial conditions.

1 Mike Smith, Victor Koren, Ziya Zhang, Brian Cosgrove, Zhengtao Cui, Naoki Mizukami OHD/HL Hydrologic Science and Modeling Branch Introduction Lecture.

NWS Calibration Workshop, LMRFC March, 2009 Slide 1 Analysis of Evaporation Basic Calibration Workshop March 10-13, 2009 LMRFC.

Forecasting Streamflow with the UW Hydrometeorological Forecast System Ed Maurer Department of Atmospheric Sciences, University of Washington Pacific Northwest.

Center for Hydrometeorology and Remote Sensing, University of California, Irvine Basin Scale Precipitation Data Merging Using Markov Chain Monte Carlo.

Preliminary Applications of the HL-RDHM within the Colorado Basin River Forecast Center Ed Clark, Hydrologist Presented July 26 th, 2007 as part of the.

1 OHD/HL Distributed Hydrologic Modeling Pedro Restrepo Hydrology Group HIC Conference Jan , 2006.

Integration of SNODAS Data Products and the PRMS Model – An Evaluation of Streamflow Simulation and Forecasting Capabilities George Leavesley 1, Don Cline.

Distributed Model Intercomparison Project Phase 2: Results of the Western Basin Experiments Mike Smith, Victor Koren, Ziya Zhang, Zhengtao Cui, Naoki Mizukami,

National Weather Service Application of CFS Forecasts in NWS Hydrologic Ensemble Prediction John Schaake Office of Hydrologic Development NOAA National.

Gridded Rainfall Estimation for Distributed Modeling in Western Mountainous Areas 1. Introduction Estimation of precipitation in mountainous areas continues.

Overview of the Colorado Basin River Forecast Center Lisa Holts.

Improving seasonal range hydro-meteorological predictions -- Hydrologic perspective Dennis P. Lettenmaier Department of Civil and Environmental Engineering.

Operational Issues from NCDC Perspective Steve Del Greco, Brian Nelson, Dongsoo Kim NOAA/NESDIS/NCDC Dongjun Seo – NOAA/NWS/OHD 1 st Q2 Workshop Archive,

Variational Assimilation (VAR) Presented by: Jerry Nunn Hydrologist In Charge West Gulf River Forecast Center October 28, 2003.

Eric Jones Senior Hydrologist Lower Mississippi River Forecast Center 89 th AMS Meeting.

1 Mike Smith OHD/HL Hydrologic Science and Modeling Branch Introduction Lecture 1 DHM/HL-RDHM Workshop ABRFC June 7, 2007.

Current and Future Data Requirements Chandra Kondragunta Hydrometeorology Group Hydrology Laboratory Office of Hydrologic Development NOAA/National Weather.

Stage IV Multi-sensor Mosaic Development, production and Application at NCEP/EMC Ying Lin NOAA/NWS/NCEP/EMC Jan 2011.

July 31, 2012 Kevin Werner NWS Colorado Basin River Forecast Center Tim Bardsley Western Water Assessment 1 Future Colorado Basin Observing System.

CPC Unified Precipitation Project Pingping Xie, Wei Shi, Mingyue Chen and Sid Katz NOAA’s Climate Prediction Center

Hydrologic Modeling on a 4km Grid over the Conterminous United States (CONUS) 1. INTRODUCTION The Hydrology Laboratory (HL) of the NOAA/National Weather.

1 National HIC/RH/HQ Meeting ● January 27, 2006 version: FOCUSFOCUS FOCUSFOCUS FOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS.

Colorado Basin River Forecast Center and Drought Related Forecasts Kevin Werner.

NWS Calibration Workshop, LMRFC March, 2009 slide - 1 Analysis of Temperature Basic Calibration Workshop March 10-13, 2009 LMRFC.

RFC Climate Requirements 2 nd NOAA Climate NWS Dialogue Meeting January 4, 2006 Kevin Werner.

Preliminary Applications of the HL-RDHM within the Colorado Basin River Forecast Center Ed Clark, Hydrologist Presented July 26 th, 2007 as part of the.

Application of DHSVM to Hydrologically Complex Regions as Part of Phase 2 of the Distributed Model Intercomparison Project Erin Rogers Dennis Lettenmaier.

1 Understanding Sources of Error and Uncertainty NOAA’S COLORADO BASIN RIVER FORECAST CENTER.

1 Initial Investigation Red River of the North Floods March, April 2009 OHD Mike Smith, Victor Koren, Ziya Zhang, Naoki Mizukami, Brian Cosgrove, Zhengtao.

Hydrologic Forecasting Alan F. Hamlet Dennis P. Lettenmaier JISAO/CSES Climate Impacts Group Dept. of Civil and Environmental Engineering University of.

FY07 Hydro Group Proposals to AHPS SLF Theme Team Mike Smith October 12, 2006.

Fritz Fiedler Calibration 2290 East Prospect Road, Suite 1 Fort Collins, Colorado National Weather Service River Forecast System Cooperative Program.

Real Time Nowcasting In The Western Us OR Why you can’t use nodes C0-2 George Thomas Andy Wood Dennis Lettenmaier Department of Civil and Environmental.

NWRFC CHPS Forcing Study Goal of Forcings Study Compare the current operational process with the calibration Mean Areal Precipitation (MAP). Create a historical.

Performance Comparison of an Energy- Budget and the Temperature Index-Based (Snow-17) Snow Models at SNOTEL Stations Fan Lei, Victor Koren 2, Fekadu Moreda.

1 Estimating Empirical Unit Hydrographs (and More) Using AB_OPT LMRFC Calibration Workshop March 10-13, 2009.

SnowSTAR 2002 Transect Reconstruction Using SNTHERM Model July 19, 2006 Xiaogang Shi and Dennis P. Lettenmaier.

Soil type Vegetation type / Forest density Land Use Fire activity Slopes Support NWS Flash Flood Warning Program: Development of Flash Flood Potential.

Overview of CBRFC Flood Operations Arizona WFOs – May 19, 2011 Kevin Werner, SCH.

EF5: A hydrologic model for prediction, reanalysis and capacity building Zachary Flamig Postdoctoral Scholar.

Use of Extended Daily Hydroclimatalogical Records to Assess Hydrologic Variability in the Pacific Northwest Department of Civil and Environmental Engineering.

Challenges in western water management: What can science offer?

Dennis P. Lettenmaier, Andrew W. Wood, Ted Bohn, George Thomas

Kostas M. Andreadis1, Dennis P. Lettenmaier1

Hydrologic Forecasting

Andy Wood and Dennis Lettenmaier

A. Wood, A.F. Hamlet, M. McGuire, S. Babu and Dennis P. Lettenmaier

Hydrologic issues in the measurement of snowfall

Presentation transcript:

1 OHD-CBRFC Meetings with Hydro Group April 29, 2010

2 Proposed Agenda Hydro group projects Lunch ET related projects and discussion

3 Hydrologic Modeling Group Mike Smith Victor Koren Ziya Zhang Zhengtao Cui Naoki Mizukami Brian Cosgrove Eric Anderson (1/4)

4 Hydro Group Projects Deliverables to RFCs DMIP 2 (Oklahoma, Sierra Nevada) –Confidence in model; calibration schemes; procedure for gridded hourly historical QPE; new ET for SAC-SMA HMT West – evaluation of new data SAC-HT with new ET –New model and parameter grids Parameterization –Snow-17 (CONUS mfmax, mfmin grids) –SAC-SMA (CONUS, Alaska STATSGO, SSURGO with climate adjustment and new ZPERC) DHM-TF implementation : with CBRFC; Pittsburgh, Binghamton; visualization tools; CONUS a priori routing parameters Migrate HL-RDHM into CHPS –Supported operational distributed model

5 Hydro Group Projects Deliverables to RFCs NASA Goddard: assimilation of MODIS snow covered area into Snow-17 NASA Marshall: use of ASOS/MODIS cloud ‘mask’ data for daily PE computation –Daily PE approach using SYNTRAN NASA: SMAP NCEP/EMC 30-year Reanalysis using SAC-HT and Snow-17: CONUS water resources products such as soil moisture climatology

6 U. Hawaii: Comparison of models for flash flood forecasting in tropics. U. New Mexico: Linkage of hydro and met models for improved forecasting UCLA: SNOTEL data characteristics to improve SNODAS (improved SWE) U. Washington: ‘Unified Model’ Hydro Group Projects Deliverables to RFCs

7 DMIP 2 Participants Oklahoma Experiments U. Arizona CEMAGREF DHI EMC U. Illinois U. Neb OHD U. Alberta Vrije U. Brussels U. Ok Wuhan U., China U. Ca. Irvine Imperial College of London

8 Parent Basins DMIP 2 Oklahoma Basins: Modified Corr. Coeff. for all models, all basins. OHD Lumped

9 NCDC Hourly Daily NWSRFS Precipitation Preprocessor (PXPP) -Data QC: double mass, suspect values -Generate monthly station means NWSRFS Mean Areal Precip. Processor (MAP) - Check data consistency -Estimate missing hourly, daily data -Disaggregate all station data to hourly values -Non disaggregated daily obs put into one hour -Print out hourly time series (new enhancement) Multi-Sensor Precip. Estimator (MPE) -Uses PRISM values in interpolation -Generate gauge-only gridded QPE -Manual QC: Fix ‘non-distributed’ daily precipitation values -Script to uniformly distribute remaining Daily values Hourly Point Time Series -42 Total for North Fork test -Select Optimal Procedure for OHD Gauge-Only Gridded QPE for DMIP-2 (Developed by Hydro and Hydromet Groups) SNOTEL Daily Use existing NWSRFS programs to generate hourly precipitation time series at each NCDC station; input these to MPE

10 Gridded Historical QPE Uses existing data QC methods Uses existing RFC MAP input files –No changes needed! New MAP and scripts available from AWIPS LAD Gridded historical temperature may follow same path

11 Precipitation Data QC for DMIP 2 Missing flags Wrong flags Non-disaggregated daily totals Values on incorrect days

12 Wrongly coded as -999 In data file: should be -998 Foresthill changed from zero to -998 to agree with Georgetown

13 Max Value mm 00Z 1/22/2000 = Snotel D H = Daily = Hourly Non-distributed daily value At Lake Spaulding Station

14 Jan 22, 2000 Corrected mm in one hour at Lake Spaulding. Corrected Foresthill: changed zero to -998 Jan 18 to agree with Georgetown. Corrected Georgetown data to agree with NCDC paper records (-998 not -999 on Jan 15-17) Observed Schaake old Schaake New OHD no data QC OHD Data QC

15 DMIP 2 Western Basin Experiments NCEP/EMC: J. Dong HRC: K. Georgakakos U. Washington: J. Lundquist with DHSVM CEMAGREF: V. Andreassian UCI: Sorooshian U. Illinois: Sivapalan U. Bologna: E. Todini

16 HMT experiments data Freezing level, precipitation type Value of ‘gap’ filling radar QPE. “DMIP 2” Western Basin Experiments

Step 1: ‘Basic’ DMIP 2 Data: Time series of gridded precipitation and temperature from NCDC, Snotel sites to Dec. 2002; Step 2: Extend ‘Basic’ Data: gridded precip. and temp. from NCDC, Snotel sites HMT-West Observations Gathered Analysis of Data ESRL, NSSL, OHD Gridded Precipitation for each IOP replaces Basic Data 12 3 Step 3 ‘Advanced’ DMIP 2 Data: Multi-year time series of gridded data comprised of 1) ‘Basic’ data and 2) Processed and gridded HMT data for each IOP Year Note: the time scale describes the attributes of the time series, not the schedule for processing the HMT data. The HMT observations will be processed after each campaign and inserted into the Basic Data time series. HMT QPE Data Processing for Use in DMIP 2 -Represent what the RFC uses for current Forecast operations. -Used for the initial lumped and distributed DMIP 2 simulations in the western basins.