Transcript 2 Weather Group The AFWA Initial Operational Configuration for the
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Weather Group
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The AFWA Initial Operational Configuration for the NASA Land Information System
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John Eylander Specialized Modeling Teams [email protected]
JCSDA Workshop, May 13 th , 2009
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AFWA mission:
A Global Team for the Global Fight
Maximizing America's power through the exploitation of timely, accurate and relevant weather information; anytime, everywhere.
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Integration Team
Project Leaders
CHRISTA PETERS-LIDARD (NASA) JOHN EYLANDER (AFWA)
NASA Development Team
SUJAY KUMAR (SAIC) James Geiger (GSFC) Yudong Tian (UMBC/GEST) Jing ‘Lily’ Zeng (ERT/SAIC) Ken Harrison (ESSIC)
AFWA Integration Team
Chris Franks (NG) Ted Lewiston (SES) Ryan Ruhge (NG) Marv Freimund (SES) Richard Ritz (AFWA)
Additional LIS Team members and Collaborators
R. H. Reichle 1 , J. Santanello 1 , M. Rodell 1 , H. Kato 1 , D. Mocko 1 , C. Alonge 1 , M. Garcia 1 , K. Arsenault 1 , B. Cosgrove 1 , J. Dong 1 , B. Li 1 , J. L. Eastman 1 , S. Olden 1 , L. Lighty 1 , K. E. Mitchell 2 , J. Meng 2 , H. Wei 2 , P.R. Houser 3 , E.F. Wood 4 , J. Sheffield 4 , B. Doty 5 , P. Dirmeyer 5 , J. Adams 5 , X. Zhan 6 , W. Crow 7
1 NASA Goddard Space Flight Center
3 Center for Research on Environment and Water, Calverton, MD 5 Center for Ocean Land Atmosphere Studies, Calverton, MD
2 NCEP Environmental Modeling Center, NOAA/NWS, Camp Springs, MD
4 Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 6 NOAA-NESDIS Center for Satellite Applications and Research, Camp Springs, MD 7 USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD
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Land Information System
NASA developed Land Information System (LIS)
3 year (FY02 – FY05) NASA ESTO Computational Technologies Project
Goals:
Realistic Land Surface Modeling
High resolution, High performance computing
Efficient data management
Interoperable & Portable
Land Information System
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LIS Design - Extensibility
Highly flexible, configurable framework
multiple domains
LSM options Meteorological forcing options
EnKF data assimilation module (from GMAO)
JCSDA CRTM interface (in progress, tentative FY10 release)
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LIS Integration (IOC) Goals
Goal 1 : LIS to fully replace all AFWA Agriculture Meteorology (AGRMET) model capabilities
Precipitation, radiation, and surface forcing algorithms Grid processing and GriB output software
Goal 2 : Generate LIS products at higher resolution
¼ degree resolution threshold for IOC
Goal 3 : Demonstrate use of software portability, configurability, and retrospective testing capabilities
1-year spin-up of initial conditions prior to IOC; spin up ‘warm-started’ from AGRMET
Common infrastructure enables joint testing/evaluation of software/science changes High Performance Computing Center Program (HPCMP) Navy DoD Supercomputing Resource Center (DSRC) IBM cluster 1600 system (Babbage).
Babbage has 3072 total 1.9 GHz CPU’s Power5+ processors. Babbage uses a proprietary network and IBM's High Performance Switch (HPS), also know as Federation, to communicate between nodes. The switch provides ~7-14 microsecond latency with a raw bandwidth of 2 GBps.
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Current LIS Development
Initial Operational Configuration
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LIS - AFWA
Initial Operational Configuration
LIS AFWA IOC defined as:
Global ¼ degree resolution, Latitude & Longitude grid ‘AGRMET’ surface meteorological forcing
‘AGRMET’ precipitation forcing
Surface observations
METAR precipitation reports & present weather estimates
Geostationary Infrared Precipitation estimate (GEOPRECIP)
SSMI & SSMIS rain rate environmental data record
AFWA World Wide Merged Cloud Analysis-based estimate
Poleward of 50 degrees
Climatology
‘AGRMET’ radiation forcing
Relies upon AFWA World Wide Merged Cloud Analysis
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IOC LIS initialization
LIS implemented ‘warm’
AGRMET input data archive starting December, 2005
Dual archive, AFWA dev/test & Navy DSRC on-line storage
Enables retrospective testing of current and upgraded AFWA-LIS configuration by NASA and AFWA
Month prior to IOC, completed 1-year retrospective test of LIS in AFWA configuration
Test also ‘warm-started’ from ½ degree AGRMET data
Week before implementation, ran in real-time mode on test system to support implementation
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LIS IOC Meteorological Surface Forcing
Lower troposphere temperature and humidity profile
NCEP GFS blended with synoptic observations
Near surface winds derived from 10-meter GFS winds
If GFS is not available, NOGAPS used as a backup
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LIS IOC ‘AGRMET’ Precipitation Forcing AFWA Blended Global Precipitation Estimate
Barnes analysis method blends observations from:
Gauge reports AFWA Geostationary IR satellite precipitation estimate AFWA CDFSII precipitation estimate DMSP SSM/I & SSMI/S rainrate estimates (Tropics only) Climatology
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LIS IOC ‘AGRMET’ Radiation Forcing
Cloud information (coverage, top, types) from the AFWA CDFSII
References: Idso (1981) and Wachtmann (1975)
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Reference: Shapiro (1987)
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LIS Final Operational Configuration (FOC)
FOC defined as
AGRMET turned off
Only ¼ degree LIS products available
Support for WRF initialization
Separate LIS domain for each AFWA WRF domain
LIS domains match resolution/projection (grid) of WRF domain
FOC tentatively scheduled for February, 2010
After FOC, plan to continually increase resolution of global system as input data resolution increases
Coupled LIS-WRF system to be completed FY2009 (April 2010), implemented late CY2010 (tentative)
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Current LIS R&D
Current LIS development efforts
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LIS Data Assimilation
The generic LIS-DA framework already includes the NASA/GMAO EnKF module, and has been demonstrated for soil moisture and snow examples (Kumar et al., AWR 2008): Added Tskin EnKF plug-in and NASA/GMAO bias estimation module.
EnKF and direct insertion algorithms already included in latest LIS Version 6.0 release Fly - Fight - Win
LIS-CRTM Coupling
New RTM Forward mode Computes Tb, emissivity by channel Planned Radiance Assimilation mode Will invoke LIS DA routines to assimilate Tb
Architecture Changes
to force LSM RTM requires Atmospheric Profile (N layers ) Implemented as Supplemental Forcing GFS data options need to be discussed with AFWA New RTM extensible interface To add RTM, implement required interfaces CRTM added as first RTM to LIS Simulates satellite-observed radiance Supports numerous sensors
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LIS-WRF Coupling
AFWA, NASA & NCAR joint study Fly - Fight - Win
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Snow Cover/Depth Analysis
AFWA-NASA Snow Algorithm (ANSA)
Improves upon the science contained within the AFWA Snow Depth Analysis (SNODEP) model
Merges microwave snow depth measurements (e.g. AMSR-E) with visible NDSI snow cover (e.g. MODIS)
Current model uses primarily Synoptic Observations of Snow Depth, SSMI snow mask EDR, and climatology
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AFWA-NASA Snow Algorithm (ANSA)
ANSA snow map 15 January 2007
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(575) MODIS snow 80-100% and SWE 2-480 mm (550) MODIS snow 21-79% and SWE 2-480 mm (450) MODIS snow 1-20% and SWE 2-480 mm (390) MODIS snow 80-100% and SWE 0 mm (370) MODIS snow 21-79% and SWE 0 mm (360) MODIS snow 1-20% and SWE 0 mm (375) MODIS snow 1- 100% and SWE water mask (355) MODIS snow 0% and SWE 2-480 mm (350) MODIS cloud and SWE 2-480 mm (330) MODIS cloud and SWE 0 mm (300) MODIS cloud in AMSR-E swath gap (345) MODIS snow1-100% in AMSR-E swath gap (305, 290) MODIS no data SWE 2-480 mm (295) MODIS in darkness and SWE 2-480mm (250) MODIS in darkness and SWE 0 mm (253) AMSR-E Permanent Snow/Ice (201) MODIS snow 1-100% and SWE land not processed (200) MODIS snow 1-100% and SWE no data (0) Land (1508) Ocean (1498) Fill 19
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Summary
NASA-AFWA LIS project resulted in successful integration of LIS into operations
February 24, 2009 Initial Operational Configuration
Joint LIS development system aids “bridging the gap” between research and operational communities
Recent advances key enablers to further science development of land data assimilation, land surface modeling, forecasting of land surface characteristics
Advanced data assimilation architecture Community Radiative Transfer Model (CRTM) interface LIS-WRF coupling Advanced global snow characterization
FOC targeted for February, 2010
AGRMET decommissioned, enable LIS support for WRF domains
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