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HighResolution Convective Modeling using WRF Coupled to NASA's Land Information System LIS

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Title: HighResolution Convective Modeling using WRF Coupled to NASA's Land Information System LIS


1
High-Resolution Convective Modeling using WRF
Coupled to NASA's Land Information System (LIS)
Christa D. Peters-Lidard (PI) Hydrological
Sciences Branch NASA/GSFC, Code 614.3
Christa.Peters_at_nasa.gov Wei-Kuo Tao (Co-I)Paul
R. Houser (Co-I)
Sujay V. Kumar Joseph L. EastmanStephen E.
LangYudong TianXiping Zeng
2
Outline
  • LIS Background
  • LIS-WRF Coupling Design
  • Computational Aspects
  • Science Aspects
  • Future Directions

3
Background LIS Team and Collaborators
  • C. D. Peters-Lidard1, P. R. Houser1, S. V.
    Kumar1, Y. Tian1, J. Geiger1,
  • S. Olden1, L. Lighty1, J. L. Eastman1, J.
    Sheffield2, E. F. Wood2,
  • P. Dirmeyer3, B. Doty3, J. Adams3, K. Mitchell4,
    J. Meng1,4, H. Wei4
  •  1NASA, Goddard Space Flight Center
  • Hydrological Sciences Branch, Code 974,
    Greenbelt, MD
  • 2Department of Civil and Environmental
    Engineering
  • Princeton University, Princeton, NJ
  • 3Center for Ocean Land Atmosphere Studies (COLA)
  • Calverton, MD
  • 4NCEP Environmental Modeling Center
  • NOAA/NWS, Camp Springs, MD

Code and Documentation at http//lis.gsfc.nasa.gov
4
Background LIS Plugin Design
LIS driver
domain-plugin
lsm-plugin
Forcing-plugin
parameter-plugin
elevation
5
Background LIS Execution Modes
LIS
Coupled
Uncoupled
Station Data
ESMF
Global, Regional (Re-)Analyses or Forecasts
LSM Ensemble Noah, CLM2, Mosaic, HYSSiB, VIC
ESMF
Satellite Products
6
LIS Background Initial Benchmarking at
NCEPAverage Diurnal Cycles, March 2003
CONUS Average
Europe Average
Sensible Heat
Sensible Heat
Latent Heat
Latent Heat
Net Radiation
Net Radiation
Ground Heat
Ground Heat
  • LIS with experimental mode of GFS on the gaussian
    horizontal grid of T62
  • Forcing NCEP Global Reanalysis II, AGRMET
    radiation and CMAP precipitation.
  • 30 more efficient in computing time

7
WRF-LIS WRF Version http//www.wrf-model.org
  • WRF V2.0 Release (May 18, 2004 V2.0.2 October,
    2004,

  • V2.0.3.1 December 2004)
  • What is in WRF V2.0?
  • Advanced Research WRF (ARW) dynamical core
  • Eulerian mass coordinate
  • One-way and two-way nesting
  • New physics options, including
  • Noah Land Surface Model (LSM),
  • Rapid Update Cycle (RUC) LSM,
  • Ysu Planetary Boundary Layer (PBL), and
  • Grell-Devenyi ensemble cumulus scheme
  • ESMF time manager
  • Enhanced I/O options
  • Enhanced Runtime System Library (RSL)
  • New Standard Initialization (SI) V2.0
  • WRF 3-Dimensional Variational Assimilation
  • (3DVAR) V2.0

Key project requirement
Not actually ESMF, but a recoded F90 version of
ESMF!!
Built on Message Passing Interface
8
Goddard Cumulus Ensemble (GCE) Model
9
(No Transcript)
10
The Goddard Cumulus Ensemble Model http//rsd.gsfc
.nasa.gov/912/code912/model.html
GCE V1.0 Release (June, 2004) What is in GCE
V1.0? Place Land Surface Model (LSM) Message
Passing Interface (MPI) parallelization Cyclic
lateral boundary conditions GCE V2.0 Release
(Expected July, 2005) What will be in GCE V2.0?
Place and all LIS LSMs ESMF Virtual
Machine-based MPI parallelism Cyclic and open
boundary conditions 2D vs. 3D
Project advancement
Project advancements
Key project requirement
11
The Earth System Modeling Framework
(ESMF)http//www.esmf.ucar.edu
NASA GSFC PSAS
Climate
MITgcm
GFDL FMS Suite
Weather
NCAR/LANL CCSM
NCEP Forecast
Data Assimilation
NSIPP Seasonal Forecast
C. DeLuca/NCAR, J. Anderson/NCAR, V. Balaji/GFDL,
B. Boville/NCAR, N. Collins/NCAR, T. Craig/NCAR,
C. Cruz/GSFC, A. da Silva/GSFC, R. Hallberg/GFDL,
C. Hill/MIT, M. Iredell/NCEP, R. Jacob/ANL, P.
Jones/LANL, B. Kauffman/NCAR, J. Larson/ANL, J.
Michalakes/NCAR, E. Schwab/NCAR, S.
Smithline/GFDL, Q. Stout/U Mich, M. Suarez/GSFC,
A. Trayanov/GSFC, S. Vasquez/NCAR, J.
Wolfe/NCAR, W. Yang/NCEP, M. Young/NCEP and L.
Zaslavsky/GSFC
12
ESMF Status http//www.esmf.ucar.edu
13
ESMF coupling schematic
14
LIS-GCE and LIS-WRF coupling
LIS-GCE
LIS-WRF
15
Evaluation Case Study International H2O Project
(IHOP), May-June 2002
Central US, Southern Great Plains
16
IHOP Golden Day Synthetic Case GOES Imagery
Sounding Data June 6, 2002
1355 UTC
GOESGeostationary Operational Environmental
Satellite
x
17
Synthetic Case Experimental Design
Soil Moisture Condition
Vegetation Condition
18
Synthetic Case Evaluation
Comparison of Input Radiation
19
Synthetic Case Evaluation
Comparison of Energy Terms and Balance for
Grasswet Case
20
Synthetic Case Evaluation
Factor Separation Impact of Wet Soil and Grass
Relative to Bare, Dry
21
Impact of LSM on Uncoupled Performance
Compute nodes used 128
22
Impact of ESMF on Coupled Performance
Weather Research and Forecasting Model (WRF)
Goddard Cumulus Ensemble Model (GCE)
Key conclusion ESMF-compliant coupling adds
minimal computational overhead relative to native
models
23
WRF/LIS and WRF/GCE Performance scaling for the
coupled systems
24
Scientific Evaluation June 12 Real Case
Overview of LIS Spinup Impact on WRFLIS
Precipitation
24 hour accumulated precipitation with default
soil initialization
24 hour accumulated precipitation with LIS 7.5
year spinup soil initialization
25
Scientific Evaluation June 12 Case
Radar Derived Precipitation vs. Modeled
Precipitation (mm) 6GMT June13th, 2002
Observed Radar Derived Surface Precipitation
(Source NOAA/NCEP)
Modeled WRFLIS Precipitation using LIS initial
surface conditions
26
Scientific Evaluation June 12 Case
Observed RadarGauge
WRF/LIS Modeled using RadarGauge precipitation
for LIS uncoupled Spinup
WRF/LIS Modeled using NOAA Model precipitation
(GDAS) for LIS uncoupled Spinup
WRF/LIS Modeled using WRF Standard Initialiation
(WRFSI) w/o LIS spinup
GDASGlobal Data Assimilation System
(NOAA/National Centers for Environmental
Prediction (NCEP))
27
Project Highlights and Future Plans
  • ESMF-Compliant Coupling of WRF-LIS
  • LISv4.0 has been coupled to WRFv.2.0.3.1 using
    ESMF v.2.1.0rp2 and a subcomponent coupling
    design
  • Coupling needs to be generalized to handle
    multiple nests, projections and grids multiple
    PBLs and LSMs other than Noah and CLM2.
  • Recognition
  • LIS selected as co-winner of NASA 2005 Software
    of the Year Award
  • Benchmarking on Columbia
  • We have been allocated 150,000 hours on NASAs
    SGI Altix Supercomputer Columbia for benchmarking
    and additional scaling studies for the LIS/WRF
    and LIS/GCE coupled systems.
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