land-surface modeling performance at ncep

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Land-Surface Modeling Performance At NCEP NCEP: Where America's Climate and Weather Services Begin WRF Land Working Group Workshop: 18 June 03 Ken Mitchell NCEP Environmental Modeling Center

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Land-Surface Modeling Performance At NCEP. Ken Mitchell. NCEP Environmental Modeling Center. WRF Land Working Group Workshop: 18 June 03. NCEP : Where America's Climate and Weather Services Begin. GAPP. GCIP. NCEP/EMC. NWS/OHD. NOAA/NESDIS. Dan Tarpley. John Schaake. Ken Mitchell - PowerPoint PPT Presentation

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Page 1: Land-Surface Modeling Performance At NCEP

Land-Surface Modeling PerformanceAt NCEP

NCEP: Where America's Climate and Weather Services Begin

WRF Land Working Group Workshop: 18 June 03

Ken MitchellNCEP Environmental Modeling Center

Page 2: Land-Surface Modeling Performance At NCEP

CollaboratorsGAPP GCIP

Eric WoodJustin Sheffield

Princeton Univ.

Dan TarpleyNOAA/NESDIS

Bruce RamsayAndy Bailey

Soroosh SorooshianJames ShuttleworthLuis Bastidas

Univ. Arizona

Dennis LettenmaierLaura Bowling

Univ. Washington

George GaynoAFWA

Jerry WegielWayne HigginsHuug Van den Dool

NCEP/CPC

Ken MitchellMichael EkDag Lohmann

NCEP/EMC

Rachel PinkerHugo Berbery

Univ. Maryland

Ken CrawfordJeff Basara

Univ. Oklahoma

Alan RobockLifeng Luo

Rutgers Univ.

John SchaakeVictor KorenQingyun Duan

NWS/OHD

Tilden MeyersJon Pliem

NOAA/ARL

AtmosphericResearch

Alan Betts

Paul HouserBrian Cosgrove

NASA/GSFC

Fei ChenJimy Dudhia

NCAR

Mike FennesseyPaul Dirmeyer

COLA

Page 3: Land-Surface Modeling Performance At NCEP

Papers recently submitted to GCIP Special Issue of JGR

(Show vugraphs and pass out CDs)

• Papers on Coupled Eta/Noah and EDAS– Ek et al.

– Berbery et al.

• Papers on Uncoupled NLDAS– NLDAS: N. American Land Data Assimilation System

– Mitchell et al. overview paper

– 9 companion papers by NLDAS collaborators

Page 4: Land-Surface Modeling Performance At NCEP
Page 5: Land-Surface Modeling Performance At NCEP

Systems Using the Noah Land ModelSystems Using the Noah Land ModelOPERATIONAL SYSTEMS

1. Eta/EDAS: NCEP Eta Model and Eta Data Assimilation System

2. GFS/GDAS: NCEP Global Forecast System (older version of Noah)

3. AGRMET: Air Force Agricultural Meteorological Model (USDA)

DEMONSTRATION TESTBED SYSTEMS

1. Eta-RCM: Eta Regional Climate Model, 2-4 month seasonal fore

2. Eta R/R: Eta-based Regional Reanalysis (underway, 1979-2003)

3. GFS: NCEP Global Model (most current Noah version)

4. NLDAS Realtime: N. American Land Data Assimilation System

5. NLDAS Retrospective: 50-year by CPC (for drought monitoring)

6. GLDAS: NASA/NCEP Global Land Data Assimilation System

7. MM5/Noah: at NCAR

8. WRF/Noah: at NCAR and NCEP

9. ARPS/Noah: at Center for Analysis & Prediction of Storms (CAPS)

Page 6: Land-Surface Modeling Performance At NCEP

Improving the NCEP MesoscaleEta Model via Land-Surface Initiatives

• Eta improvement goals

- 2 meter air temperature and humidity

- 10 meter wind vector

- PBL T and Td profiles

- convective stability indices

- integrated moisture flux convergence

- precipitation and cloud cover

Page 7: Land-Surface Modeling Performance At NCEP

Interannual variability of North American Monsoon - interior Southwest

moist

July 1999 July 2000

obs

Eta

00 2412 36 48

29 C

16

23

30

16

24

32

00 2412 36 48

obs

Eta

July 2001

dry semi-dry

33 C

Eta forecast hour

32 C

00 2412 36 4816

24

32

Moist soilin Eta

Dry soilin Eta

Semi-drysoil in Eta

Page 8: Land-Surface Modeling Performance At NCEP

ETA MODEL LAND-SURFACE MODELING MILESTONES

Since 1996, a series of GCIP/GAPP-sponsored land-surface model related advances have been made to the NCEP mesoscale Eta model and its Eta-based 4-D data assimilation system (EDAS).

31 Jan 1996 multi-layer soil/vegetation/snow model introducedinitial soil moisture/temperature from GDAS

18 Feb 1997 new vegetation greenness database from NESDISrefined adjustment of initial GDAS soil moisture refinedevaporation over snow and bare soil

09 Feb 1998 increase from 2 to 4 soil layers (10, 30, 60, 100 cm layers)03 Jun 1998 full self-cycling of EDAS/Eta soil moisture and temperature

new NESDIS daily 23-km snow cover and sea ice15 Mar 1999 "NOAH" name designated for Eta land-surface model01 Apr 1999 GOES vs Eta skin temperature verification24 Mar 2000 Eta near-surface regional Forecast Verification System15 Mar 2001 retrospective NOAH LSM Eta/EDAS testing initiated24 Apr 2001 realtime NOAH LSM Eta/EDAS testing initiated02 July 2001 pre-implementation NOAH LSM testing in parallel

Eta/EDAS24 July 2001 frozen soil physics, patchy snowcover (OHD, V. Koren)12 Feb 2002 improved sub-surface heat flux with snowpack

Page 9: Land-Surface Modeling Performance At NCEP

ETA/NOAH LAND-SURFACE MODEL UPGRADES: 24 Jul 01- assimilation of hourly precipitation -- hourly 4-km radar/gage analysis (Stage V)

-cold season processes(Koren et al 1999) -- patchy snow cover -- frozen soil (new state variable) -- snow density (new state variable)

-- bare soil evaporation refinements -- parameterize upper sfc crust cap on evap

- soil heat flux -- new soil thermal conductivity (Peters-Lidard et al 1998) -- under snowpack (Lunardini, 1981) -- vegetation reduction of thermal cond. (Peters-Lidard et al 1997)

- surface characterization -- maximum snow albedo database (Robinson & Kukla 1985) -- dynamic thermal roughness length refinements

- vegetation -- deeper rooting depth in forests -- canopy resistance refinements

NOAH LSM tested in various land-model intercomparison projects, e.g., GSWP, PILPS 2a, 2c, 2d, 2e, Rhone, and (near-future) DMIP.

Page 10: Land-Surface Modeling Performance At NCEP
Page 11: Land-Surface Modeling Performance At NCEP

July 2001 NOAH LSM improvements in coupled Eta model

Successfully Targeted Impacts:

1 - Cold season processes (snow melt, frozen soil)

*** reduce near-surface cool bias over snow cover

2 - Early spring wet soils (soil heat flux, bare soil evaporation)

*** reduce near-surface moist bias

3 - Summer over non-sparse green vegetation

*** reduce near-surface warm bias

Page 12: Land-Surface Modeling Performance At NCEP

Old model formulation - cool, moist bias in 2-m T, TdNew model formulation – reduced cool, moist biasPhysics change: new soil thermal conductivity, nonlinear vs linear dependence of direct evap on top layer soil moisture

REDUCING SURFACE MOIST-COOL BIASOVER WET-BARE GROUND

12Z, 27 APR 2001, 60-hr model run

36-hr

OLD2-meter

T=>

Td=>

NEW2-meter

T=>

Td=>

Champaign, Illinois

Page 13: Land-Surface Modeling Performance At NCEP

REDUCING SURFACE MOIST-COOL BIAS

OVER WET-BARE GROUND

00Z lowest boundary-layerlevel (~ 100-150

m) dew point

temperature48-km parallel

old formulation

00Z lowest boundary-layerlevel (~ 100-150 m)

dew point temperature48-km parallel

new formulation (NOAH LSM)

Page 14: Land-Surface Modeling Performance At NCEP

REDUCING NEAR-SURFACE MOIST-COOL BIAS

OVER WET-BARE GROUND IN SPRING

Improved 2-m RH in 48-hour diurnal forecast cycle during Apr-May

oldNOAHLSM

obs

Eta forecast hour00 2412 36 48

57

84

75 newNOAHLSM

2-m

rela

tive h

um

idit

y (

%)

66

USA northern mid-west

Page 15: Land-Surface Modeling Performance At NCEP

Shallow/retreating snow cover in USA northern plain states

North Americasnowcover

01 Feb 2001 02 Feb 2001 03 Feb 2001

04 Feb 2001 05 Feb 2001 06 Feb 2001

Page 16: Land-Surface Modeling Performance At NCEP

old model formulation (upper left)=> bulk of incoming energy melts/sublimates snow => skin temp held at freezing=> 2-m air temp held near freezing

new model formulation (upper right)=> patchy snow cover for snow depth less than threshold depth (veg-type dependent) => reduces surface albedo => more available energy at sfc=> skin temp can exceed 0 C => 2-m air temp rises further above freezing.

REDUCING SURFACE COOL BIAS OVER MELTING SNOWFEB 2001 ETA MODEL RETROSPECTIVE RUNS

warm advection/melting snowpack case: 00Z 02 FEB 2001, 60-hr model run

2-m air temp, current formulation2-m air temp, new formulation

North Platt, Neb.

0 C

=0 C

snowmelt

skintemp

2-m airtemp

model0 C

obs>0 C

18Z

North Platt, Neb.

18Z

0 C

>0 C

obs,model>0 C

Page 17: Land-Surface Modeling Performance At NCEP

The new formulation has less cold bias in 2-m air temp than old operational formulation over this region of shallow melting snowpack.(obs=plotted numbers, model=color-shaded contouring; North Platt, Neb. circled)

REDUCING SURFACE COOL BIAS OVER MELTING SNOW

02 FEB 2001 warm advection/melting snowpack case

18Z 2-m air temp, old formulation18Z 2-m air temp, new formulation

Page 18: Land-Surface Modeling Performance At NCEP

Mean diurnal cycle of 2-m air temperature of observations and Eta model 48-hr forecast from 12Z, averaged over 30-day WINTER period of 01 Feb – 01 Mar 2001 at all surface stations over East U.S.

Station OBS: solid OPS Eta/NOAH: short dash TEST Eta/NOAH: long dash)T

emp

erat

ure

(C)

Forecast Hour0 48

-3

+5

Page 19: Land-Surface Modeling Performance At NCEP

Reducing Summer warm bias over non-sparse green vegetation00Z, 30 AUG 2000, 60-hr Eta model run

OLD2-meter

T=>

Td=>

NEW2-meter

T=>

Td=>

Champaign, Illinois

Solid Line: surface station observationDashed Line: coupled Eta / NOAH model forecastPhysics change: ground heat flux under vegetation, canopy resistance parameters

Page 20: Land-Surface Modeling Performance At NCEP

Forecast Hour0 48

Mean diurnal cycle of 2-m air temperature of observations and Eta model 48-hr forecast from 12Z, averaged over 30-day SUMMER period of 12 Aug –12 Sep 2000 at all surface stations over East U.S.

Station OBS: solid OPS Eta/NOAH: short dash TEST Eta/NOAH: long dash)T

emp

erat

ure

(C)

17

27

Page 21: Land-Surface Modeling Performance At NCEP

2-m Air Temp Bias: 48-hr Ops Eta Forecast valid at 00ZEAST

Page 22: Land-Surface Modeling Performance At NCEP

JULY 2-m Air Temperature: EAST(Monthly mean diurnal cycle over 48-h fcst: Obs solid, model dashed)

Page 23: Land-Surface Modeling Performance At NCEP

JULY 2-m Relative Humidity (percent): EAST(Monthly mean diurnal cycle over 48-h fcst: Obs solid, model dashed)

Page 24: Land-Surface Modeling Performance At NCEP

N-LDAS Design(The Uncoupled Approach)

1. Force models with 4DDA surface meteorology (Eta/EDAS), except use actual observed precipitation (gage-only daily precip analysis disaggregated to hourly by radar product) and hourly downward solar insolation (derived from GOES satellites).

2. Use 4 different land surface models: – NOAH (NOAA/NWS/NCEP)– MOSAIC (NASA/GSFC)– VIC (Princeton U./ U. Washington)– Sacramento (NOAA/OHD)

3. Evaluate results with all available observations, including soil moisture, soil temperature, surface fluxes, satellite skin temperature, snow cover and runoff.

Page 25: Land-Surface Modeling Performance At NCEP

1) REALTIME: 15 Apr 1999 to 15 Dec 2001

-- NCEP realtime forcing

2) RETROSPECTIVE: 01 Oct 1996 to 30 Sep 99

-- Mandated largely by spin-up issues

-- NASA-assembled retrospective forcing

--- Higgins NCEP/CPC reprocessed precipitation forcing:

---- more gages obs, more QC

--- Pinker U.Md reprocessed solar insolation forcing

---- better cloud screening, more QC

Rutgers University compared the soil moisture, soil temperature, surface flux results from the retrospective LDAS runs to observations over Oklahoma/Kansas for last retro year.

LDAS Run Modes:1) Realtime, 2) Retrospective

Page 26: Land-Surface Modeling Performance At NCEP

LDAS Model Mean Annual Evaporation (mm) over Oct 97 – Sep 99

Page 27: Land-Surface Modeling Performance At NCEP

LDAS Model Mean Annual Runoff (mm) over Oct 97 – Sep 99

Page 28: Land-Surface Modeling Performance At NCEP

NLDAS Simulated River SystemNLDAS Simulated River SystemUpstream area [log10(km^2)] Travel time to outlet [days]

Large River basins River flow direction mask

Page 29: Land-Surface Modeling Performance At NCEP

East Fork of White River at Columbus, IN

Page 30: Land-Surface Modeling Performance At NCEP

Mean annual modeled normalized model runoff bias: Oct 97-Sep 99

Page 31: Land-Surface Modeling Performance At NCEP

*

**

*

Page 32: Land-Surface Modeling Performance At NCEP

LDAS Monthly Evaporation Over Northeast CONUS

0

20

40

60

80

100

120

140

160

180

Oct

-96

Jan-

97

Apr

-97

Jul-9

7

Oct

-97

Jan-

98

Apr

-98

Jul-9

8

Oct

-98

Jan-

99

Apr

-99

Jul-9

9

Mon

thly

Eva

pora

tion

(mm

)

Mosaic

NOAH

VIC

Sacramento

LDAS Monthly Evaporation Over Southwest CONUS

0

20

40

60

80

100

120

140

160

180

Oct

-96

Jan-

97

Apr

-97

Jul-9

7

Oct

-97

Jan-

98

Apr

-98

Jul-9

8

Oct

-98

Jan-

99

Apr

-99

Jul-9

9

Mon

thly

Eva

pora

tion

(mm

)

Mosaic

NOAH

VIC

Sacramento

LDAS Monthly Evaporation Over Northwest CONUS

0

20

40

60

80

100

120

140

160

180O

ct-9

6

Jan-

97

Apr

-97

Jul-9

7

Oct

-97

Jan-

98

Apr

-98

Jul-9

8

Oct

-98

Jan-

99

Apr

-99

Jul-9

9

Mon

thly

Eva

pora

tion

(mm

)

Mosaic

NOAH

VIC

Sacramento

LDAS Monthly Evaporation Over Southeast CONUS

0

20

40

60

80

100

120

140

160

180

Oct

-96

Jan-

97

Apr

-97

Jul-9

7

Oct

-97

Jan-

98

Apr

-98

Jul-9

8

Oct

-98

Jan-

99

Apr

-99

Jul-9

9

Mon

thly

Eva

pora

tion

(mm

)

Mosaic

NOAH

VIC

Sacramento

Page 33: Land-Surface Modeling Performance At NCEP

Fig. 16From Robock et al.

Page 34: Land-Surface Modeling Performance At NCEP

July 1999 April 1999

Fig. 22 SGP ARM/CART Monthly Mean Diurnal Cycle of Surface Energy Fluxes

Page 35: Land-Surface Modeling Performance At NCEP

April 1999July 1999

Fig. 24 Monthly Mean Diurnal Cycle of Surface Skin Temperature

Page 36: Land-Surface Modeling Performance At NCEP

July 1998