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

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

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

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

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OHD-CBRFCMeetings with Hydro Group

April 29, 2010

Page 2: 1 OHD-CBRFC Meetings with Hydro Group April 29, 2010

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Proposed Agenda

• Hydro group projects• Lunch• ET related projects and discussion

Page 3: 1 OHD-CBRFC Meetings with Hydro Group April 29, 2010

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Hydrologic Modeling Group

• Mike Smith• Victor Koren• Ziya Zhang• Zhengtao Cui• Naoki Mizukami• Brian Cosgrove• Eric Anderson (1/4)

Page 4: 1 OHD-CBRFC Meetings with Hydro Group April 29, 2010

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Hydro Group ProjectsDeliverables 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

Page 5: 1 OHD-CBRFC Meetings with Hydro Group April 29, 2010

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Hydro Group ProjectsDeliverables 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

Page 6: 1 OHD-CBRFC Meetings with Hydro Group April 29, 2010

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• 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 ProjectsDeliverables to RFCs

Page 7: 1 OHD-CBRFC Meetings with Hydro Group April 29, 2010

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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

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0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Basin (smallest to largest)

Mod

ified

Cor

rela

tion

Coe

ff r m

od

Parent Basins

DMIP 2 Oklahoma Basins: Modified Corr. Coeff. for all models, all basins.

OHDLumped

Page 9: 1 OHD-CBRFC Meetings with Hydro Group April 29, 2010

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NCDCHourly Daily

NWSRFSPrecipitation Preprocessor (PXPP)-Data QC: double mass, suspect values-Generate monthly station means

NWSRFSMean 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 remainingDaily values

Hourly PointTime 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)

SNOTELDaily

Use existing NWSRFS programs to generate hourly precipitation time series at each NCDC station; input these to MPE

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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

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Precipitation Data QC for DMIP 2

• Missing flags• Wrong flags• Non-disaggregated daily totals• Values on incorrect days

Page 12: 1 OHD-CBRFC Meetings with Hydro Group April 29, 2010

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Wrongly coded as -999In data file: should be -998

Foresthill changed from zero to -998 to agree with Georgetown

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Max Value116.58 mm

00Z1/22/2000

= SnotelD

H

= Daily

= Hourly

Non-distributed daily valueAt Lake Spaulding Station

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Jan 22, 2000Corrected 116.58 mm in one hour at Lake Spaulding.

Corrected Foresthill:changed zero to -998 Jan 18to agree with Georgetown.Corrected Georgetown datato agree with NCDC paper records (-998 not -999 on Jan15-17)

Observed Schaake oldSchaake NewOHD no data QCOHD Data QC

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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

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• HMT experiments 2005-2006 data• Freezing level, precipitation type• Value of ‘gap’ filling radar QPE.

“DMIP 2” Western Basin Experiments

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19902003

20042005

20062007

20081997

19981999

20002001

20021994

19951996

19911992

1993

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 DataESRL, NSSL, OHD

Gridded Precipitationfor each IOP

replaces Basic Data

1 2 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 observationswill be processed after each campaign and inserted intothe 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.