WRF/LSM Implementation and Verification Fei Chen, Mukul Tewari, and Wei Wang (NCAR) John Smart (NOAA/FSL) Collaborators: Ken Mitchell, Mike Ek (NCEP), George Gayno, Jerry Wegiel (AFWA), JinWon Kim (UCLA), QingYun Duan (OH) Sponsored by AFWA and NSF - PowerPoint PPT Presentation

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WRF/LSM Implementation and Verification Fei Chen, Mukul Tewari, and Wei Wang (NCAR) John Smart (NOAA/FSL) Collaborators: Ken Mitchell, Mike Ek (NCEP), George Gayno, Jerry Wegiel (AFWA), JinWon Kim (UCLA), QingYun Duan (OH) Sponsored by AFWA and NSF

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WRF/LSM Implementation and Verification Fei Chen, Mukul Tewari, and Wei Wang (NCAR) John Smart (NOAA/FSL) Collaborators: Ken Mitchell, Mike Ek (NCEP), George Gayno ... – PowerPoint PPT presentation

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Title: WRF/LSM Implementation and Verification Fei Chen, Mukul Tewari, and Wei Wang (NCAR) John Smart (NOAA/FSL) Collaborators: Ken Mitchell, Mike Ek (NCEP), George Gayno, Jerry Wegiel (AFWA), JinWon Kim (UCLA), QingYun Duan (OH) Sponsored by AFWA and NSF


1
WRF/LSM Implementation and Verification Fei
Chen, Mukul Tewari, and Wei Wang (NCAR)John
Smart (NOAA/FSL)Collaborators Ken Mitchell,
Mike Ek (NCEP), George Gayno, Jerry Wegiel
(AFWA), JinWon Kim (UCLA), QingYun Duan
(OH)Sponsored by AFWA and NSF
  • Current Status of WRF/LSM implementation
  • Verification Framework
  • Issues and Future work

2
Unique and complex aspects of implementation of
land surface models in WRF
  • Selection of land surface models (NOAH/OSU LSM,
    CLM, RUC LSM, )
  • Background surface fields (landuse, soil texture)
  • Initialization of soil state (soil moisture,
    sea-ice)
  • Initialization of vegetation state (fractional
    coverage, leaf area index, albedo)
  • Requirements from other physics routine
  • Coupling strategy and verification
  • Need coordination among several working groups

3
Tasks Completed
  • Introduce background fields (SI) 1) 30-second
    global USGS 24-category landuse map 2) 30-second
    global hybrid (30-sec for CONUS and 5-min
    elsewhere) top and bottom soil texture 3) 1-deg
    annual mean air temperature as lower boundary
    temperature 4) NESDIS 0.144-deg monthly 5-year
    climatology green vegetation fraction 5)NESDIS
    0.144-deg monthly 5-year climatology albedo
  • Initialize soil moisture, temperature, snow, and
    sea-ice from AVN and Eta (SI, mass and height
    version)
  • Implementation of OSULSM (Physics, WRF release
    1.2 Beta)
  • Inclusion of OSULSM for idealized WRF cases (now
    available for mass version)

4
Work in Progress
  • Implement the FSL LSM (by Tanay Smirnova, FSL)
  • Implement the Common Land Surface Model (by
    XinZhong Liang, U. Illinois)
  • Pre-release of the unified NOAH/OSU LSM (UNO?) by
    NCEP in Feb. 2002 for internal test at NCEP,
    NCAR, AFWA, and UCLA
  • A new version of the unified LSM is expected to
    be released soon

5
Work in Progress (Con.)
  • Upgrade the unified NOAH/OSULSM to F90 (the
    current WRF/OSULSM coupler is in F90)
  • Include a four-layer sea-ice model
  • Introduce a few new variables ( total and liquid
    soil water content, fractional snow coverage)
  • A few changes in the interface
  • Expect to implement the unified LSM by September
    2002

6
LSMs verification framework
  • Idealized case (completed)
  • theoretical partition of net radiation into
    latent, sensible, and ground heat fluxes, phase
    of soil temperature, etc.
  • land-surface/atmospheric interactions (e.g.,
    simple 2-D simulations of sea-breeze like
    circulations)
  • Document and provide data for LSMs test
  • Uncoupled test (long-term PILPS type data)
  • Coupled test (LSM and PBL classic cases
  • Select cases (CASES97 and IHOP02)
  • model set up provide initial soil and veg
    conditions, complete verification data
  • Long-term statistics from real-time and
    retrospective tests
  • Get this in standard WRF verification data set

7
An example CASES97 verification
  • Three golden cases
  • 29 April homogeneously dry soil, heterogeneous
    landuse (green Winter Wheat vs dormant grass) in
    the Walnut watershed, KS,70x74 km2
  • 10 May heterogeneous soil, both WW and grass
    green
  • 20 May homogeneously wet soil, green WW and
    grass
  • CASES97 Data
  • 9 surface stations (near surface weather, surface
    heat and radiation fluxes) located over different
    landuse
  • enhanced sounding at 3 sites every 90 minute,
    Beaumont site grass Oxford and White Water
    sites wheat
  • Aircraft sounding and heat fluxes along flight
    legs
  • WRF 10km, 244x214x35, MRF PBL, OSULSM, Dudhia
    shortwave, RRTM longwave, new Kain-Fritcsh
    cumulus, initialized by EDAS 40-km output

8
00Z 29 Apr 00Z 30 Apr 1997averaged over 4
grass sites red model, green obs
Longwave downward
shortwave downward
?
Sensible heat
Latent heat
9
Profile of Potential T from 1000-600 mb 30 April
1997 at Beaumont (grass) model oobs
1530Z
0030Z
2030Z
1835Z
10
Profile of Mixing Ratio from 1000-600 mb 30
April 1997 at Beaumont (grass)
1530Z
0030Z
2030Z
1835Z
11
00Z 29 Apr 00Z 30 Apr 1997averaged over 3
wheat sites
12
Profile of Potential T from 1000-600 mb 30 April
1997 at Oxford (wheat)
1530Z
0030Z
2030Z
1835Z
13
Profile of Mixing Ratio from 1000-600 mb 30
April 1997 at Oxford (wheat)
1530Z
0030Z
2030Z
1835Z
14
IHOP02 Case 12Z 15 12 Z 16 June 2002
Stage IV Radargauge
WRF
IHOP NCAR Surface stations
15
Obs 18Z 48 hour WRF 12Z, 36 hour
St. 3
Green sfc pressure (mb) Purple mxing ratio
(g/kg) Red rain rate (mm/hr)
St. 2
St. 1
16
Central leg 3 stations southwest to Wichita
St. 4
Green sfc pressure (mb) Purple mxing ratio
(g/kg) Red rain rate (mm/hr)
St. 5
St. 6
17
Eastern Leg 2 Stations southeast to Wichita
Green sfc pressure (mb) Purple mxing ratio
(g/kg) Red rain rate (mm/hr)
St. 7
St. 8
18
Initialization of Soil State
  • Ultimate solution combine LSM, data assimilation
    techniques, and remote sensing data
  • AFWA AGRMET System
  • Use observed rainfall, solar radiation, and
    analyzed wind, T, and Q
  • Same background field as WRF
  • Simulate long-term evolution of soil and
    vegetation state at global scale (40 km, upgrade
    to 20 km)
  • NCEP plans to unify the background fields in
    NLDAS
  • High-Resolution Land Data Assimilation System
    (HRLDAS) running at the same grid of WRF, using
    HR analysis of surface weather variables,
    landuse, etc.

19
4-month (1998) HRLDAS soil moisture vs Oklahoma
Mesonet observation
5-cm
25-cm
20
Summary and Future work
  • Good news
  • Tight surface-PBL link valuable for verifying and
    adjusting LSM and PBL schemes
  • When underlying surface conditions are correctly
    specified, the temperature profile is well
    simulated
  • Temporal and spatial distribution of WRF
    rainfall, surface pressure, low-level T and Q are
    reasonable (compared to 8 stations for two IHOP02
    cases)
  • Not so good news
  • The mixing layer structure for moisture is not
    well captured (MRF seems too efficient)
  • Cannot take everything off the shelf for case
    study (soil condition, vegetation condition,
    etc.)
  • Urgent need for WRF realtime runs
  • Use AGRMET, or NLDAS, or HRLDAS to initialize
    soil state
  • Use weekly quasi-realtime green vegetation
    fraction

21
Future work
  • Complete LSM/PBL verification data sets
  • SI tasks
  • Initialize from ARGMET or EDAS or HRLDAS
  • global fixed max albedo over deep snow, annual
    minimum greenness, realtime weekly greenness,
    surface slope index, annual maximum greenness,
    frozen soil empirical derivation
  • Interface issues
  • A LANDRIVER separated from current PBLDRIVER to
    treat land and inland water body (lake) possibly
    on different grid configuration
  • Albedo and roughness length need to pass into
    radiation and PBL schemes
  • Need precipitation type, convective and
    non-convective rainfall rate

22
Future Plan
  • Real data tests (case studies, Using IHOP data,
    etc.)
  • NCAR, NCEP, AFWA work on unified NOAH/OSU LSM
  • Release of WRF/Unified LSM by August 2002

23
Combining two NCEP rainfall analysis Utilizing
0.25 gauge-only daily rainfall as primary product
and use hourly Stage IV rainfall to partition the
former into hourly timestep as input to LSM
24-hr rainfall accumulated from 4-km hourly
NCEP Stage IV product
0.25 degree NCEP gauge-only daily rainfall
24
24-h rainfall ending 12Z 20 June 1998
MM5 Control
Stage-II Obs
Eta Forecast
MM5 Wet soil
25
Surface layer (top 10 cm soil)
volumetric soil moisture 180
x 180 km2
Initial time From coarse resolution of Eta
field
46 days later Heterogeneity was developed in
the 3-km domain
26
OSU LSM in the PSU/NCAR MM5 and WRF(Pan and
Mahrt, 1987 Ek and Mahrt, 1991 Chen and Dudhia,
2001)
Canopy Water Evaporation
Transpiration
Turbulent Heat Flux to/from Snowpack/Soil/Plant
Canopy
Precipitation
Condensation
on vegetation
Deposition/ Sublimation to/from snowpack
Direct Soil Evaporation
Evaporation from Open Water
on bare soil
Runoff
Snowmelt
D Z 10 cm
Soil Heat Flux
Soil Moisture Flux
D Z 30 cm
Internal Soil Moisture Flux
Internal Soil Heat Flux
D Z 60 cm
Interflow
D Z 100 cm
Gravitational Flow
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