Plans for a new land surface model for NCEP operations and for use

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New Directions for WRF

Land Surface Modeling

Michael Barlage

Research Applications Laboratory (RAL)

National Center for Atmospheric Research

Polar WRF Workshop – 3 November 2011

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Noah LSM in NCEP Eta, MM5 and WRF Models

(Pan and Mahrt 1987, Chen et al. 1996, Chen and Dudhia 2001,

Ek et al., 2003)

Precipitation

Condensation on vegetation

Transpiration

Canopy Water

Evaporation

Runoff on bare soil

Soil Moisture

Flux

Interflow

Internal Soil

Moisture Flux

Turbulent Heat Flux to/from

Snowpack/Soil/Plant Canopy

Direct Soil

Evaporation

Evaporation from Open Water

Deposition/

Sublimation to/from snowpack

Snowmelt

D Z

= 10 cm

D Z

= 30 cm

D Z

= 60 cm

Gravitational Flow

D Z

= 100 cm

Soil Heat Flux

Internal Soil

Heat Flux

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Noah LSM in NCEP Eta, MM5 and WRF Models

(Pan and Mahrt 1987, Chen et al. 1996, Chen and Dudhia 2001,

Ek et al., 2003)

Precipitation

Condensation on vegetation

Transpiration

Canopy Water

Evaporation

Runoff on bare soil

Soil Moisture

Flux

Interflow

Internal Soil

Moisture Flux

Turbulent Heat Flux to/from

Snowpack/Soil/Plant Canopy

Direct Soil

Evaporation

Evaporation from Open Water

Deposition/

Sublimation to/from snowpack

Snowmelt

D Z

= 10 cm

D Z

= 30 cm

D Z

= 60 cm

Gravitational Flow

D Z

= 100 cm

Soil Heat Flux

Internal Soil

Heat Flux

3

Noah LSM Performance

• Noah does some things well

– Surface fluxes without snow present

– Summertime simulation in general

– Noah is relatively simple, less parameters

• Noah structure good for satellite-derived surface properties

– Albedo, observed from satellite, is a bulk property (vegetation, snow, soil)

– Vegetation properties like green vegetation fraction are easily used as prescribed vegetation condition

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Noah LSM Deficiencies

• Related to Snow Physics

– Combined snow/vegetation/soil layer

– No explicit canopy or liquid water retention

– Currently one-layer snow

• Results in:

– Under-prediction of snow throughout season

– Snow melts too early in spring

– Surface skin temperature is limited to (near) freezing with snow on ground (cannot produce a “warm” canopy)

– Limits 2m temperature in cases of warm air advection and when significant energy absorbed by canopy

5

Noah LSM Deficiencies

Flagstaff WRF T

2m simulation compared to METAR observations

Courtesy Mike Leuthold, U. Arizona

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Noah LSM Deficiencies

Flagstaff WRF T

2m simulation compared to METAR observations

• Cold bias during the day results from capped surface temperature at freezing

• Bias recovers during the night

• When snow is gone, bias is low

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Noah LSM Deficiencies

Flagstaff WRF T

2m simulation compared to METAR observations

• Cold bias during the day results from capped surface temperature at freezing

• Bias recovers during the night

• When snow is gone, bias is low

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Noah LSM Deficiencies

Flagstaff WRF v3.2

T

2m simulation compared to METAR observations

• Cold bias during the day results from capped surface temperature at freezing

• Bias recovers during the night

• When snow is gone, bias is low

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Simulations compared to SNOTEL observations

Noah v3.0

Modified Noah

SWE, snow melt and sublimation between the control simulation and simulation with all changes

Sublimation reduced consistently throughout simulation

Resulting pack increase melts in spring

Legend legend

GS: GOES SW forcing

ML: model level forcing

LV: Livneh albedo

TA: terrain adjustment

CH: WRF MYJ stability

85: Max albedo = 0.85

ZE: Zo = f(exposed veg)

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Simulations compared to Niwot Ridge observations

Diurnal average sensible heat flux for

January 2007

Both Noah-MP and

Noah-UA do better with fluxes at night

Noah-MP does very well with daytime flux

Noah-UA improves greatly upon both version of current

Noah

Keep snow at the expense of energy

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Addressing with Two Approaches

Noah-UA

• Wang et al. 2010

– Canopy shading effect

– Reduce exchange coefficient under canopy

– Adjust roughness length for snow and vegetation fraction

– Additional snow cover fractions

• Advantages

– Easy to implement

– Maintains Noah structure

(added as namelist option)

• Disadvantages

– Skin temperature still limited

Noah-MP

• Liang/Niu et al. 2011

– Explicit canopy

– Multiple snow layers

– Snow liquid water retention

– Two-stream canopy radiation

– Multiple temperatures

• Advantages

– More physical surface representation

– Surface exchange consistent with LSM

• Disadvantages

– Complexity/cost

– More parameters 12

SW dn

Noah

Noah-UA: Canopy Shading

SH SW dn

Noah-UA

SH + Δ can

Δ

can

Δ can

= solar radiation intercepted by canopy

= f(LAI, canopy reflectance, snow albedo)

(1α)  SW dn

(1α)  SW dn

Δ can

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Noah-MP: Canopy Fluxes

Canopy Fraction Bare Fraction

• Separate exchange coefficients

– Bare ground to atmosphere

– Under-canopy ground to canopy

– Canopy to atmosphere

– Leaf to canopy

• Flux balance

– Iterate leaf and canopy temperatures so that heat flux to atmosphere is balanced with flux from canopy to leaf and canopy to ground

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Simulations compared to SNOTEL observations

Modified Noah

Noah-MP

Noah v3.1+

Noah-MP improves both peak SWE simulation and spring melt timing

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Simulations compared to Niwot Ridge observations

Diurnal average sensible heat flux for

January 2007

Both Noah-MP and

Noah-UA do better with fluxes at night

Noah-MP does very well with daytime flux

Noah-UA improves greatly upon both version of current

Noah

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Simulations compared to Niwot Ridge observations

Diurnal average sensible heat flux for

January 2007

Both Noah-MP and

Noah-UA do better with fluxes at night

Noah-MP does very well with daytime flux

Noah-UA improves greatly upon both version of current

Noah

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Coupling Noah-MP to WRF

• Noah-MP is coupled to WRF and currently going through testing

• 12 Km horizontal resolution with

• NARR data is used as initial condition

• WRF Runs starts 1 March 2008, 12Z

– Using WRFV3.3/Noah

– Using WRFV3.3/Noah-MP

• Models are integrated for 15 days.

• Results are compared

Noah vs Noah-MP

Sensible Heat Flux at Niwot Ridge, CO

Noah-MP Noah Obs

Snow Model Intercomparison

• Coordinated effort by NCAR to compare surface processes within snow components of land models

• Volunteer participation by several universities

• Phase-1a: Control experiment at SNOTEL sites. All forcing comes from WRF simulation except GOES observed solar radiation

• Phase-1b: Same as Phase-1a except daily precipitation from SNOTEL observations

• Phase-1c: Same as Phase-1b except diurnal hourly precipitation distribution is based on WRF monthly-averaged diurnal distribution

• Phase-1d: Same as Phase-1a except that SWE is reset to SNOTEL observed

SWE on the date of maximum

• Phase-2a: 2004-2008 simulations for AmeriFlux sites (Niwot Ridge and

GLEES). Forcing comes from NARR except precipitation(NLDAS) and solar radiation

– Phase-2a1: Replacing the 2m Temperature forcing data with the 21m forcing.

– Phase-2a2: Ameriflux SW/LW replacing GOES/NARR SW/LW (no obs 2004-2005)

– Phase-2a3: 2a1+2a2

– Sensitivity with forcing height (ZLVL)

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Snow Model Intercomparison

LEAF

VIC

SAST

CLM

Noah

NoahMP

LEAF

VIC

SAST

CLM

Noah

NoahMP

Snow Model Intercomparison

Summary

• Other Noah-MP features

– Dynamic vegetation

– Groundwater treatment

– Photosynthesis-based canopy resistance

• A new model (Noah-MP) and new processes within the existing Noah (Noah-UA) are planned to be released in the next WRF release

– Both models attempt to address Noah deficiencies in snow treatment

– Noah-MP contains several options for physical parameterizations within the LSM

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