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![Page 1: 1 High-Resolution Convective Modeling using WRF Coupled to NASA's Land Information System (LIS) Christa D. Peters-Lidard (PI) Hydrological Sciences Branch.](https://reader035.fdocuments.in/reader035/viewer/2022062317/5a4d1b897f8b9ab0599bdd99/html5/thumbnails/1.jpg)
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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 [email protected]
Wei-Kuo Tao (Co-I)Paul R. Houser (Co-I)
Sujay V. KumarJoseph L. EastmanStephen E. Lang
Yudong TianXiping Zeng
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Outline
•LIS Background•LIS-WRF Coupling Design•Computational Aspects•Science Aspects•Future Directions
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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, MD2Department of Civil and Environmental Engineering
Princeton University, Princeton, NJ3Center for Ocean Land Atmosphere Studies (COLA)
Calverton, MD4NCEP Environmental Modeling Center
NOAA/NWS, Camp Springs, MD
Code and Documentation atCode and Documentation athttp://lis.gsfc.nasa.govhttp://lis.gsfc.nasa.gov
Background: LIS Team and Collaborators
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Background: LIS “Plugin” Design
LIS driverdomain-plugin
lsm-plugin
CLM
Noah
VICMosaic
HySSIB
SSIB
Forcing-plugin
Lat/lon
Gaussian
UTM
GEOS
GDAS
AGRM
NLDASECMWF
CMAP
Persiann
Huffman
CMORPHparameter-plugin
soils
LAI
land cover
elevation
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GrADS/DODSServer
WRF
GCELSM EnsembleNoah, CLM2, Mosaic,
HYSSiB, VIC
LIS
ESMF
CoupledUncoupled
Global, Regional (Re-)Analyses or Forecasts
Station Data
Satellite Products
Background: LIS Execution Modes
ESMF
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LIS Background: Initial Benchmarking at NCEPAverage Diurnal Cycles, March 2003
•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
CONUS Average Europe Average
Sen
sibl
e H
eat
Sen
sibl
e H
eat
Gro
und
Hea
t
Gro
und
Hea
t
Late
nt H
eat
Late
nt H
eat
Net
Rad
iatio
n
Net
Rad
iatio
n
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WRF-LIS: WRF Versionhttp://www.wrf-model.orgWRF 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
Not actually ESMF, but a recoded F90 version of ESMF!!
Key project requirement
Built on Message Passing Interface
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Parameters/Processes GCE ModelDynamics Anelastic or Compressible
2D (Slab- and Axis-symmetric) and 3DVertical Coordinate Z (p, terrain)
Microphysics2-Class Water & 3-Class Ice
2-Class Water & 2-Moment 4-Class IceSpectral-Bin Microphysics
Numerical Methods Positive Definite Advection for Scalar Variables;4th-Order for Dynamic Variables
Initialization Initial Conditions with Forcingfrom Observations/Large-Scale Models
FDDA NudgingRadiation k-Distribution and Four-Stream Discrete-Ordinate Scattering (8
bands)Explicit Cloud-Radiation Interaction
Sub-Grid Diffusion TKE (1.5 order)
Surface ProcessesOcean Mixed Layer
7-Layer Soil Model (PLACE)CLM - LIS
TOGA COARE Flux ModuleParallelization OPEN-MP and MPI
Goddard Cumulus Ensemble (GCE) Model
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The Goddard Cumulus Ensemble Modelhttp://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) parallelizationCyclic lateral boundary conditions
GCE V2.0 Release (Expected July, 2005)
What will be in GCE V2.0? Place and all LIS LSMsESMF Virtual Machine-based MPI parallelismCyclic and open boundary conditions2D vs. 3D Key project requirement
Project advancements
Project advancement
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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
The Earth System Modeling Framework (ESMF)
http://www.esmf.ucar.edu
NSIPP Seasonal Forecast
NCAR/LANL CCSM NCEP ForecastGFDL FMS Suite
MITgcmNASA GSFC PSASClimate
Data Assimilation
Weather
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ESMF Status http://www.esmf.ucar.edu
Planned (Actual) Milestone
May 2002 Draft Developer’s Guide and Requirements Document completed1st Community Requirements Meeting and review held in D.C.
July 2002 ESMF VAlidation (EVA) suite assembled
August 2002 Architecture Document: major classes and their relationshipsImplementation Report: language strategy and programming modelSoftware Build and Test Plan: sequencing and validation
May 2003 ESMF Version 1.0 release, 2nd Community Meeting at GFDL
November 2003 First 3 interoperability experiments completed
April 2004 (July 2004) Second API and Version 2.0 software release, 3rd Community Meeting (Version 2.0.2 released in October 2004; and Version 2.1.0rp2 released in March 11, 2005)
November 2004 (Expected Nov 2005)
All interoperability experiments complete; all testbed applications compliant
January 2005 (Expected Jan 2006)
Final delivery of source code and documentation
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ESMF coupling schematic
Low Level Utilities
Fields and Grids Layer
Model Layer
Components Layer:Gridded ComponentsCoupler Components
External Libraries
ESMF Infrastructure
Model Component
ESMF Superstructure
BLAS, MPI, NetCDF, …
ESMF Infrastructure
Model Sub-component
ESMF Superstructure
BLAS, MPI, NetCDF, …
Component Coupling:e.g., LIS-GCE
Component Coupling:e.g., LIS-WRF
ESMF ConceptualDesign
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LIS-GCE and LIS-WRF couplingLIS-GCE LIS-WRF
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Evaluation Case Study:Evaluation Case Study: International HInternational H22O Project (IHOP), May-June 2002O Project (IHOP), May-June 2002
Central US, Southern Great Plains
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IHOP “Golden Day” Synthetic CaseIHOP “Golden Day” Synthetic CaseGOES Imagery & Sounding Data June 6, 2002GOES Imagery & Sounding Data June 6, 2002
13:55 UTC
x
GOES=Geostationary Operational Environmental Satellite
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Synthetic Case Experimental Design
Dry Wet Half Wet/Half Dry
Bare Soil Baredry Barewet Barewetdry
Vegetated (Grassland)
Grassdry Grasswet Grasswetdry
Soil Moisture Condition
Vege
tati
on C
ondi
tion
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Comparison of Input Radiation
Synthetic Case Evaluation
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Comparison of Energy Terms and Balance for Grasswet Case
Synthetic Case Evaluation
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Factor Separation: Impact of Wet Soil and Grass Relative to Bare, DryVariable Wet Soil Grass Interaction
GLW (Wm-2)Longwave Radiation
-4.7 3.1 1.4
SWDOWN (Wm-2)Shortwave Radiation
-2.0 4.3E-02 -1.6
HFX (Wm-2)Sensible Heat Flux
-155 39 -54
LH (Wm-2)Latent Heat Flux
176 -5.8E-03 116
Q2 (kg/kg)2-m Air Humidity
3.82E-03 -1.80E-04 1.54E-03
T2 (K)2-m Air Temperature
-5.49 0.26 -0.72
PBLH Planetary Boundary Layer Height (m)
-490 191 -149
Synthetic Case Evaluation
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Compute nodes used: 128
Impact of LSM on Uncoupled Performance
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Impact of ESMF on Coupled Performance
0
2
4
6
8
10
12
14
16
18
0 20 40 60 80
Num ber of Processors
Tota
l ela
psed
tim
e (h
rs)
Default WRF
LIS-WRF
0
2
4
6
8
10
12
14
16
18
0 20 40 60 80
Num ber of ProcessorsTo
tal e
laps
ed ti
me
(hrs
)
Default GCE
LIS-GCE
Key conclusion: ESMF-compliant coupling adds minimal computational overhead relative to native models
Weather Research and Forecasting Model (WRF)Goddard Cumulus Ensemble Model (GCE)
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WRF/LIS and WRF/GCE Performance scaling for the coupled systems
0
1
2
3
4
5
6
7
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9
0 10 20 30 40 50 60 70
Num ber of Processors
Spee
dup
WRF (100x100)
WRF (200x200)
GCE (128x128)
GCE (256x256)
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Overview of LIS Spinup Impact on WRF+LIS Precipitation24 hour accumulated precipitation with
default soil initialization24 hour accumulated precipitation with LIS 7.5 year spinup soil initialization
Scientific Evaluation: June 12 “Real” Case
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Radar Derived Precipitation vs. Modeled Precipitation (mm) 6GMT June13th, 2002
Observed Radar Derived Surface Precipitation (Source: NOAA/NCEP)
Modeled WRF+LIS Precipitation using LIS initial surface conditions
Scientific Evaluation: June 12 Case
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Domain Integrated Precipitation versus Time
0.00E+00
5.00E+04
1.00E+05
1.50E+05
2.00E+05
2.50E+05
3.00E+05
3.50E+05
12:00
14:00
16:00
18:00
20:00
22:00 0:0
02:0
04:0
06:0
08:0
010
:00
Hour Starting on June12
Inte
grat
ed P
reci
pita
tion
(mm
)
WRFSI GDAS NLDAS RADAR
Scientific Evaluation: June 12 Case
Observed: Radar+Gauge
WRF/LIS Modeled using Radar+Gauge precipitation for LIS
uncoupled SpinupWRF/LIS Modeled using NOAA
Model precipitation (GDAS) for LIS uncoupled Spinup
WRF/LIS Modeled using WRF Standard Initialiation (WRFSI) w/o
LIS spinup
GDAS=Global Data Assimilation System (NOAA/National Centers for Environmental Prediction (NCEP))
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Project Highlights and Future Plans
1. 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.
2. Recognition• LIS selected as co-winner of NASA 2005 Software of
the Year Award3. Benchmarking on Columbia
• We have been allocated 150,000 hours on NASA’s SGI Altix Supercomputer Columbia for benchmarking and additional scaling studies for the LIS/WRF and LIS/GCE coupled systems.