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NASA's Land Information System as a Testbed for JCSDA Partners and Investigators

NASA's Land Information System as a Testbed for JCSDA Partners and Investigators Christa D. Peters-Lidard, Ph.D. Physical Scientist and Head, Hydrological Sciences Branch NASA/ Goddard Space Flight Center(GSFC), Code 614.3, Greenbelt, MD 20771 Christa.Peters@nasa.gov, 301-614-5811

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NASA's Land Information System as a Testbed for JCSDA Partners and Investigators

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  1. NASA's Land Information System as a Testbed for JCSDA Partners and Investigators Christa D. Peters-Lidard, Ph.D. Physical Scientist and Head, Hydrological Sciences Branch NASA/ Goddard Space Flight Center(GSFC), Code 614.3, Greenbelt, MD 20771 Christa.Peters@nasa.gov, 301-614-5811 http://lis.gsfc.nasa.gov

  2. Acknowledgements C. D. Peters-Lidard1, P. R. Houser1,2, S. V. Kumar1, Y. Tian1, J. Geiger1, M. Garcia1 , S. Olden1, L. Lighty1, J. L. Eastman1, J. Sheffield3, E. F. Wood3, P. Dirmeyer4, B. Doty4, J. Adams4,K. Mitchell5, J. Meng5,H. Wei6,J. Eylander7 1NASA, Goddard Space Flight Center Hydrological Sciences Branch, Code 614.3, Greenbelt, MD 2George Mason University, Climate Dynamics Program and Center for Research in Environment and Water 3Department of Civil and Environmental Engineering Princeton University, Princeton, NJ 4Center for Ocean Land Atmosphere Studies (COLA) Calverton, MD 5NCEP Environmental Modeling Center NOAA/NWS, Camp Springs, MD 6Air Force Weather Agency Air & Space Sciences Directorate, Offut AFB, NE • LIS was originally funded under NASA ESTO/CT CAN-00-OES-01, with additional support from NASA ESTO/AIST NRA-02-OES-04, and AFWA Award No: NVSHAX05680448

  3. Outline • LIS Background • LIS Uncoupled Benchmarking • CEOP Sites • NOAA/NCEP • AFWA/AGRMET • LIS/WRF/GCE Coupled Benchmarking • IHOP • Ongoing Work and Future Directions

  4. LIS Background Inputs Physics Outputs Applications Topography, Soils Land Surface Models Soil Moisture & Temperature Weather/ Climate Water Resources Homeland Security Military Ops Natural Hazards Land Cover, Vegetation Properties Evaporation Sensible Heat Flux Meteorological Forecasts, Analyses, and/or Observations Runoff Data Assimilation Modules Snow Soil Moisture Temperature Snowpack Properties

  5. LIS Heritage: NLDAS and GLDAS North American LDAS 1/8 Degree Resolution Mitchell et al., JGR, 2004 Global LDAS 1/4 Degree Resolution Rodell et al., BAMS, 2004 Land Information System (http://lis.gsfc.nasa.gov) Multi-Resolution Ensemble LDAS Kumar et al., EMS, 2006

  6. The Value of 1km Land Modeling: Exploit EOS and NPOESS 25km 5km 1km

  7. CEOP Benchmarking at Reference Sites

  8. CEOP Benchmarking • CLM/Noah/Mosaic ensemble energy fluxes • All CEOP reference sites EOP-1 July 1-Sept 30, 2001

  9. CEOP Flux aggregation: Bondville, IL

  10. CONUS Average Europe Average Initial Benchmarking at NCEPAverage Diurnal Cycles, March 2003 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

  11. NCEP Benchmarking with LIS: 25-year T126 Illinois 2-meter Soil Moisture [mm] 1985-2004 Total Vtype 12 Climatology Anomaly Source: Jesse Meng

  12. AFWA/AGRMET Benchmarking • • Benchmark period: 02 December 2005- 28 February, 2006 • Global Intercomparison Dates: • 02 December 2005 • 21 December 2005 • 20 January 2006 • 28 February 2006 • Point Intercomparisons at Sample Locations: • USA, Washington, DC, 38.85N 77.04W • Iraq, Baghdad, 33.20N, 44.30E • Pyongyang, North Korea, 39.03N, 125.78E • Zimbabwe, Harare, 17.43S, 31.02E

  13. AGRMET-LIS Global Intercomparison Downward Shortwave (Wm-2) 21 December 2005, 1200UTC

  14. 3.1 Global Intercomparison (AGR-LIS): 10cm Soil Moisture 21 December 2005, 2100UTC

  15. AGRMET-LIS Point Intercomparisons: Iraq, Baghdad

  16. AGRMET-LIS Point Intercomparisons: Zimbabwe, Harare

  17. Atmos. Models (WRF/GCE/ GFS/GEOS) Ocean Models Land Surface Models (LIS) Coupled: LIS as an Earth System Model Land Component

  18. LSM Initial Conditions The Land Information System (LIS) and Weather Forecasting Uncoupled or Analysis Mode Coupled or Forecast Mode Station Data WRF Global, Regional Forecasts and (Re-)Analyses ESMF LSM Physics (Noah, Catchment, CLM, VIC, HYSSiB) Satellite Products

  19. Coupled LIS/WRF Case Study: May-June 2002 International H2O Project (IHOP) Central US, Southern Great Plains • Radiation Coupling Experiments: June 12, 2002 • IHOP Case Studies: June 12, 2002 and May-June 2002

  20. WRF/ARW Model Setup • 500x500 Horizontal Points at 1km ΔX • 47 Vertical Levels from 10m to 18km AGL • Lin et al microphysics (Rain, Ice, Graupel, Snow, Cloud Water) • RRTM longwave, Dudhia Shortwave (Account for different water phases) • NOAH LSM from the Land Information System (LIS) • Ingested North American Regional Reanalysis (32km mesh size) into WRFSI to create initial and boundary meteorological conditions for a 24 hour integration at 3 hour intervals

  21. WRF-LIS Precipitation vs. Radiation Coupling Time Step X3=18 Seconds X1=6 Seconds X10=60 Seconds X100=600 Seconds Total accumulated 24-hour precipitation (mm) for update frequencies at every (6 seconds), every 3 (18 seconds), every 10 (60 seconds), and every 100 (600 seconds) time steps. Eastman et al., GRL, 2006, submitted.

  22. Rain Rate PDF vs. Radiation Coupling Time Step

  23. Computational Overhead of Increased Radiation Updates

  24. WRFSI Initial Soil State LIS Initial Soil State (NLDAS+STATSGO) Soil Temperature (K) Soil Moisture (kg/kg)

  25. Soil Moisture Impact on Precipitation ForecastIHOP, June 12-13, 2002 24 Hour Accumulated Precipitation (mm) WRF-LIS forecast Using LIS soil moisture with 10 year uncoupled spinup using StageII precipitation inputs Observed NOAA/NCEP Stage II Radar+Gauge WRF-LIS forecast Using default soil moisture initialization (WRFSI)

  26. Land Impact on Precipitation ForecastIHOP, June 12-13, 2002 Observed: Radar+Gauge WRF/LIS Modeled using Radar+Gauge precipitation for LIS uncoupled Spinup WRF/LIS Modeled using NOAA Model precipitation (GDAS) for LIS uncoupled Spinup WRF/LIS Modeled using WRF Standard Initialization (WRFSI) w/o LIS spinup GDAS=Global Data Assimilation System (NOAA/National Centers for Environmental Prediction (NCEP))

  27. Ongoing Work and Future Directions • Ongoing • Continued work with AFWA on EnKF Support, Precipitation enhancements, WRF Coupling (NCAR) • Collaboration with NCEP on NLDAS Phase 2, NLDAS-E • Collaboration with NOAA/OHD on SAC/Snow-17 • Collaboration with GMAO on shared subsystems (L-ANA, CATCH) • Future • Coupling CRTM and MEM • Coupling to GFS/CFS and GEOS-5 via ESMF • Provide LIS testbed to all JCSDA land partners to facilitate R2O

  28. GEOS-5 GCM STRUCTURE HISTORY CAP COUPLED Data AGCM Data OGCM AGCM Ocean OANA Ocean analysis COLUMN PHYSICS DYNAMICS MOIST RADIATION DYNAMICS CICE OGCM TURB SOLAR FVCORE GWD IR SURFACE SURFACE Poseidon OBIO CHEM LAKE LAND ICE (Ts,Fi...) OCEAN SKIN L-ANA EnKF CATCH VEGDYN

  29. GEOS-5 ”Intermediate SCM” STRUCTURE HISTORY CAP G5-LIS COUPLER LIS Data System COLUMN PHYSICS TURB SURFACE LAND L-ANA EnKF CATCH VEGDYN

  30. LIS Offline Forcing of G5 Components LIS L-ANA EnKF CATCH LIS Data System CATCH CLM GEOS-5 components

  31. Extensions to perturbation component Extensions to perturbation component Queries a state instead of a component Each component is self-consistent

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