Presentation is loading. Please wait.

Presentation is loading. Please wait.

NASA's Land Information System as a Testbed for JCSDA Partners and Investigators Christa D. Peters-Lidard, Ph.D. Physical Scientist and Head, Hydrological.

Published byDarrell Harmon Modified over 8 years ago

Similar presentations

Presentation on theme: "NASA's Land Information System as a Testbed for JCSDA Partners and Investigators Christa D. Peters-Lidard, Ph.D. Physical Scientist and Head, Hydrological."— Presentation transcript:

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 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 C. D. Peters-Lidard 1, P. R. Houser 1,2, S. V. Kumar 1, Y. Tian 1, J. Geiger 1, M. Garcia 1, S. Olden 1, L. Lighty 1, J. L. Eastman 1, J. Sheffield 3, E. F. Wood 3, P. Dirmeyer 4, B. Doty 4, J. Adams 4, K. Mitchell 5, J. Meng 5, H. Wei 6, J. Eylander 7 1 NASA, Goddard Space Flight Center Hydrological Sciences Branch, Code 614.3, Greenbelt, MD 2 George Mason University, Climate Dynamics Program and Center for Research in Environment and Water 3 Department of Civil and Environmental Engineering Princeton University, Princeton, NJ 4 Center for Ocean Land Atmosphere Studies (COLA) Calverton, MD 5 NCEP Environmental Modeling Center NOAA/NWS, Camp Springs, MD 6 Air Force Weather Agency Air & Space Sciences Directorate, Offut AFB, NE

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

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

5 N orth American LDAS 1/8 Degree Resolution Mitchell et al., JGR, 2004 G lobal LDAS 1/4 Degree Resolution L and I nformation S ystem (http://lis.gsfc.nasa.gov) Multi-Resolution Ensemble LDAS LIS Heritage: NLDAS and GLDAS Rodell et al., BAMS, 2004 Kumar et al., EMS, 2006

6 25km 5km1km The Value of 1km Land Modeling: Exploit EOS and NPOESS

7 CEOP Benchmarking at Reference Sites

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

9 CEOP Flux aggregation: Bondville, IL

10 Initial Benchmarking at NCEP Average 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 AverageEurope Average Sensible Heat Ground Heat Latent Heat Net Radiation

11 NCEP Benchmarking with LIS: 25-year T126 Illinois 2-meter Soil Moisture [mm] 1985-2004 Total Anomaly Vtype 12 Climatology 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 Land Surface Models (LIS) Ocean Models Atmos. Models (WRF/GCE/ GFS/GEOS) Coupled: LIS as an Earth System Model Land Component

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

19 Central US, Southern Great Plains Coupled LIS/WRF Case Study: May-June 2002 International H2O Project (IHOP) 1.Radiation Coupling Experiments: June 12, 2002 2.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 X1=6 Seconds X3=18 Seconds X10=60 SecondsX100=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 WRF-LIS forecast Using default soil moisture initialization (WRFSI) WRF-LIS forecast Using LIS soil moisture with 10 year uncoupled spinup using StageII precipitation inputs Soil Moisture Impact on Precipitation Forecast IHOP, June 12-13, 2002 24 Hour Accumulated Precipitation (mm) Observed NOAA/NCEP Stage II Radar+Gauge

26 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)) Land Impact on Precipitation Forecast IHOP, June 12-13, 2002

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

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

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

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

Download ppt "NASA's Land Information System as a Testbed for JCSDA Partners and Investigators Christa D. Peters-Lidard, Ph.D. Physical Scientist and Head, Hydrological."

Similar presentations

Introduction to project objectives Consistent with a vision for seamless climate services, create long time-series gridded rainfall data (CHIRP) based.

Introduction to project objectives Consistent with a vision for seamless climate services, create long time-series gridded rainfall data (CHIRP) based.
THORPEX-Pacific Workshop Kauai, Hawaii Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio David H. Bromwich.

THORPEX-Pacific Workshop Kauai, Hawaii Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio David H. Bromwich.
Globally distributed evapotranspiration using remote sensing and CEOP data Eric Wood, Matthew McCabe and Hongbo Su Princeton University.

Globally distributed evapotranspiration using remote sensing and CEOP data Eric Wood, Matthew McCabe and Hongbo Su Princeton University.
Transitioning unique NASA data and research technologies to the NWS 1 Evaluation of WRF Using High-Resolution Soil Initial Conditions from the NASA Land.

Transitioning unique NASA data and research technologies to the NWS 1 Evaluation of WRF Using High-Resolution Soil Initial Conditions from the NASA Land.
Outline Background, climatology & variability Role of snow in the global climate system Indicators of climate change Future projections & implications.

Outline Background, climatology & variability Role of snow in the global climate system Indicators of climate change Future projections & implications.
Are the results of PILPS or GSWP affected by the lack of land surface- atmosphere feedback? Is the use of offline land surface models in LDAS making optimal.

Are the results of PILPS or GSWP affected by the lack of land surface- atmosphere feedback? Is the use of offline land surface models in LDAS making optimal.
Land Surface Fluxes in Coupled Land/Atmosphere Analysis Systems Michael Bosilovich, NASA GSFC And Collaborators.

Land Surface Fluxes in Coupled Land/Atmosphere Analysis Systems Michael Bosilovich, NASA GSFC And Collaborators.
Christa D. Peters-Lidard Head, Hydrological Sciences Branch NASA Goddard Space Flight Center Workshop Objectives 1.Describe the LIS-WRF Coupled System.

Christa D. Peters-Lidard Head, Hydrological Sciences Branch NASA Goddard Space Flight Center Workshop Objectives 1.Describe the LIS-WRF Coupled System.
1 An Overview of the NARCCAP WRF Simulations L. Ruby Leung Pacific Northwest National Laboratory NARCCAP Users Meeting NCAR, Boulder, CO April 10 - 11,

1 An Overview of the NARCCAP WRF Simulations L. Ruby Leung Pacific Northwest National Laboratory NARCCAP Users Meeting NCAR, Boulder, CO April ,
CPC’s U.S. Seasonal Drought Outlook & Future Plans April 20, 2010 Brad Pugh, CPC.

CPC’s U.S. Seasonal Drought Outlook & Future Plans April 20, 2010 Brad Pugh, CPC.
1 Youlong Xia 1, Mike Ek 1, Eric Wood 2, Justin Sheffield 2, Lifeng Luo 2,7, Dennis Lettenmaier 3, Ben Livneh 3, David Mocko 4, Brian Cosgrove 5, Jesse.

1 Youlong Xia 1, Mike Ek 1, Eric Wood 2, Justin Sheffield 2, Lifeng Luo 2,7, Dennis Lettenmaier 3, Ben Livneh 3, David Mocko 4, Brian Cosgrove 5, Jesse.
The NASA Modeling, Analysis and Prediction (MAP) Modeling Environment Don Anderson NASA HQ Sience Mission Directorate Earth-Sun Division Manager, Modeling,

The NASA Modeling, Analysis and Prediction (MAP) Modeling Environment Don Anderson NASA HQ Sience Mission Directorate Earth-Sun Division Manager, Modeling,
Assimilation of MODIS and AMSR-E Land Products into the NOAH LSM Xiwu Zhan 1, Paul Houser 2, Sujay Kumar 1 Kristi Arsenault 1, Brian Cosgrove 3 1 UMBC-GEST/NASA-GSFC;

Assimilation of MODIS and AMSR-E Land Products into the NOAH LSM Xiwu Zhan 1, Paul Houser 2, Sujay Kumar 1 Kristi Arsenault 1, Brian Cosgrove 3 1 UMBC-GEST/NASA-GSFC;
GEOS-5: An ESMF-based Modeling and Assimilation System ESMF Community Meeting 23 May 2006.

GEOS-5: An ESMF-based Modeling and Assimilation System ESMF Community Meeting 23 May 2006.
WRF-VIC: The Flux Coupling Approach L. Ruby Leung Pacific Northwest National Laboratory BioEarth Project Kickoff Meeting April 11-12, 2011 Pullman, WA.

WRF-VIC: The Flux Coupling Approach L. Ruby Leung Pacific Northwest National Laboratory BioEarth Project Kickoff Meeting April 11-12, 2011 Pullman, WA.
National Space Science and Technology Center, Huntsville, AL Assimilation of AMSR-E soil moisture into a coupled land surface-mesoscale model in the Land.

National Space Science and Technology Center, Huntsville, AL Assimilation of AMSR-E soil moisture into a coupled land surface-mesoscale model in the Land.
Rongqian Yang, Ken Mitchell, Jesse Meng Impact of Different Land Models & Different Initial Land States on CFS Summer and Winter Reforecasts Acknowledgment.

Rongqian Yang, Ken Mitchell, Jesse Meng Impact of Different Land Models & Different Initial Land States on CFS Summer and Winter Reforecasts Acknowledgment.
NCA-LDAS Meeting, Sept 23, 2014 NCA-LDAS: An Integrated Terrestrial Water Analysis System for the National Climate Assessment “Water Indicators” Hiroko.

NCA-LDAS Meeting, Sept 23, 2014 NCA-LDAS: An Integrated Terrestrial Water Analysis System for the National Climate Assessment “Water Indicators” Hiroko.
Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 1 American Meteorological Society 21 st Conference.

Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 1 American Meteorological Society 21 st Conference.
UMAC data callpage 1 of 11NLDAS EMC Operational Models North American Land Data Assimilation System (NLDAS) Michael Ek Land-Hydrology Team Leader Environmental.

UMAC data callpage 1 of 11NLDAS EMC Operational Models North American Land Data Assimilation System (NLDAS) Michael Ek Land-Hydrology Team Leader Environmental.

Similar presentations

Ads by Google