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Evaluation of the NASA Land Information System using the Rapid Prototyping Capabilities

Evaluation of the NASA Land Information System using the Rapid Prototyping Capabilities. Valentine Anantharaj * on behalf of LIS Evaluation Team Paul Houser † , Christa Peters-Lidard ** , Georgy Mostovoy * , LIS Team ** * Mississippi State university - GeoResources Institute

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Evaluation of the NASA Land Information System using the Rapid Prototyping Capabilities

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  1. Evaluation of the NASA Land Information System using the Rapid Prototyping Capabilities Valentine Anantharaj* on behalf of LIS Evaluation Team Paul Houser†, Christa Peters-Lidard**, Georgy Mostovoy*, LIS Team** * Mississippi State university - GeoResources Institute † George Mason University ** NASA Goddard Space Flight Center RPC Preliminary Design Review (5/17/06) 1

  2. Outline • The identified federal partner and their decision support needs; and how NASA can meet those needs • Land data assimilation at NASA • Purpose and goals of RPC experiment • Proposed LIS evaluation activities • Expected societal benefits • LIS evaluation team • Risk Analysis RPC Preliminary Design Review (5/17/06) 2

  3. Federal Partner and Decision Support Needs RPC Preliminary Design Review (5/17/06) 3

  4. About our federal partner: USDA NRCS … • NRCS Vision: • “Harmony between people in the land” • Future Goal: • “A globally recognized source for top quality spatial snow, water, climate, and hydrologic network of information and technology” • Mission • Natural resource conservation RPC Preliminary Design Review (5/17/06) 4

  5. About NASA Applied Sciences … • NASA's vision is "to improve life here" and our mission is "to understand and protect our home planet". RPC Preliminary Design Review (5/17/06) 5

  6. About NASA Applied Sciences … • NASA's vision is "to improve life here" and our mission is "to understand and protect our home planet". Applications extend the NASA vision and mission by enabling and facilitating the assimilation of Earth observations and prediction outputs into decision support tools. The purpose is to enhance the performance of the decision support resources to serve society through Earth exploration from space. RPC Preliminary Design Review (5/17/06) 6

  7. irrigation • water supply • nutrients • animal waste • pests • salinity • water quality Partner Activities • Assessment, decision support, management, and conservation natural resources: • Water • Soils key drivers RPC Preliminary Design Review (5/17/06) 7

  8. Identified Partner Need • Routine analysis soil moisture over the continental needs • water • soils • sun • weather • climate • vegetation • terrain observe, model, assimilate RPC Preliminary Design Review (5/17/06) 8

  9. Identified Decision Support Tool RPC Preliminary Design Review (5/17/06) 9

  10. USDA-NRCS SCAN DST • 115 stations across the United States • real time and near real time observations • meteor burst technology for communications • primarily near agricultural regions RPC Preliminary Design Review (5/17/06) 10

  11. SCAN DST: A National Priority • National Research Council recommended priority • NASA and USDA-NRCS are principal partners in National Integrated Drought Information System • NIDIS is envisioned to be a “drought early warning system” • Identified by USGEO as significant component of NIDIS RPC Preliminary Design Review (5/17/06) 11

  12. Relevant NASA Capabilities, Data, and Research Results RPC Preliminary Design Review (5/17/06) 12

  13. NASA Assets and Capabilities RPC Preliminary Design Review (5/17/06) 13

  14. NASA Data Products Useful for LIS RPC Preliminary Design Review (5/17/06) 14

  15. Land Data Assimilation • Energy and moisture fluxes, at different spatial and temporal scales, at the land-atmosphere interface is modulated by the land surface conditions • Hence, accurate initialization is critical • Remotely sensed and in-situ data provide key initial conditions • Land models provide information about land-surface state, essential for improving environmental assessment and prediction and decision support RPC Preliminary Design Review (5/17/06) 15

  16. Land Surface Model Physics (Houser) RPC Preliminary Design Review (5/17/06) 16

  17. Inputs Outputs Physics Water Supply & Demand, Agriculture, Hydro- Electric Power, Endangered Species, Water Quality Improved Short Term & Long Term Predictions Land Surface Models (LSM) Physical Process Models Noah, CLM, VIC, SiB2, Mosaic, Catchment, etc. Energy Fluxes: Le & H Topography, Soils Land Cover and Vegetation (MODIS, AMSR, TRMM, SRTM) Biogeo-chemistry: Carbon, Nitrogen, etc. Meteorology Modeled & Observed (TRMM, GOES, Station) Water Fluxes: Runoff Observed Land States (Snow, ET, Soil Moisture, Water, Carbon, etc.) Surface States: Moisture, Carbon, Ts Data Assimilation Modules (EnKF, EKF) Rule-based (Peters-Lidard, Houser, Kumar, Tian, Geiger) An Integrated Framework forLand Data Assimilation System Applications RPC Preliminary Design Review (5/17/06) 17

  18. SSM/I Snow Observation Theory Development Soil Moisture Assimilation Assimilation with Bias Correction Observation No Assimilation Assimilation Snow Water Assimilation Skin Temperature Assimilation Land Surface Data Assimilation RPC Preliminary Design Review (5/17/06) 18

  19. Tombstone, AZ 0% 20% Houser et al., 1998 Soil Moisture Assimilation:Walnut Gulch RPC Preliminary Design Review (5/17/06) 19

  20. NASA Land Information System (LIS) RPC Preliminary Design Review (5/17/06) 20

  21. LIS: Introduction • A high-resolution land surface modeling and data assimilation system based on the successful Global Land Data Assimilation System • High-performance parallel computing software that enables near-real time modeling at the scale of Earth Observing System-era observations (1 km2) • Incorporates innovative and sophisticated data management system with Internet technologies • High-quality software technology with a strong, expanding user base • Based on community standards such as ESMF and ALMA RPC Preliminary Design Review (5/17/06) 21

  22. LIS: History and Current Status • Funded by NASA Earth Science Technology Office (ESTO) Computational Technologies Project (CT) CAN for “Grand Challenge Applications” in 2002 • Award Winning Technology • LIS team from 3 GSFC branches and UMBC GEST center • 4 major software releases • Over 150,000 lines of C/Fortran90 code • Over 150 registered users from over 30 countries • A Linux cluster with 200 nodes built as test bed RPC Preliminary Design Review (5/17/06) 22

  23. 25km External LIS 5km Internal 1km LIS: Scalability 200 Node “LIS” Cluster Optimized I/O, GDS Servers RPC Preliminary Design Review (5/17/06) 23

  24. Atmos. Models Ocean Models 12-Hours Ahead Atmospheric Model Forecasts LIS Without LIS WRF-LIS Coupled Modeling Capabilities • Interoperability with standards: • The Earth System Modeling • Framework (ESMF) • Assistance for Land Modeling • Activities (ALMA) Observed Rainfall With LIS RPC Preliminary Design Review (5/17/06) 24

  25. Snow Water Equivalent Retrieval Error vs. Revisit Time Horizontal Resolution (m) Hypothetical Error Requirement 3 7 OSSE Capabilities of LIS – Mission Planning RPC Preliminary Design Review (5/17/06) 25

  26. Purpose of RPC Experiments for LIS Evaluations RPC Preliminary Design Review (5/17/06) 26

  27. Purpose of RPC Experiments … • Goal 1: • Evaluate LIS capabilities and NASA data to support the enhancement USDA-NRCS SCAN decision support tool • Approach: • Evaluate LIS and identified NASA data by performing Observation Sensitivity Experiments (OSE) • Derive physically consistent soil moisture maps at a range of spatial resolutions from 25x25 km2 to 1x1 km2 • Quantify uncertainties at all scales RPC Preliminary Design Review (5/17/06) 27

  28. Purpose of RPC Experiments … • Goal 2: • Evaluate LIS capabilities and NASA data to support the extension USDA-NRCS SCAN network • Approach: • Evaluate LIS and identified NASA data by performing Observing System Simulation Experiments (OSSE) • For a region of interest, define and evaluate network optimization approaches by identifying network configurations for maximum impact • Quantify uncertainties RPC Preliminary Design Review (5/17/06) 28

  29. Purpose of RPC Experiments … • Goal 3: • Evaluate the model coupling capabilities of LIS • Approach: • Evaluate the ESMF coupling capabilities for a couple WRF-LIS configuration • For a region of interest, perform case studies for one or more meteorological events • Quantify and qualify impacts of coupling RPC Preliminary Design Review (5/17/06) 29

  30. Purpose of RPC Experiments … • Goal 4: • Evaluate and demonstrate the usefulness of LIS as a customizable and cross-cutting resource that can be readily adopted, proto-typed, and deployed • Approach: • Demonstrate the usefulness of LIS by providing LIS derived data to one or more MRC funded ISS projects • Document the lessons learned for future enhancements of LIS RPC Preliminary Design Review (5/17/06) 30

  31. Purpose of RPC Experiments • Goal 5: • Help enhance the RPC Performance Metric Workbench • Approach: • Help define evaluation metrics • Share existing and new evaluation tools and software • Provide expert consultations to the PMW development team • Integrate relevant PMW capabilities into LIS V&V package RPC Preliminary Design Review (5/17/06) 31

  32. LIS Evaluation Activities RPC Preliminary Design Review (5/17/06) 32

  33. LIS Evaluation Activities • LIS Performance Analysis • Observation Sensitivity Experiments (OSE) • Observing System Sensitivity Experiments (OSSE) • WRF-LIS Model Coupling Evaluation Experiments • Cross-cutting Demonstrations • PMW Evaluation Package RPC Preliminary Design Review (5/17/06) 33

  34. LIS Performance Analysis(technical overhead & supporting activities) • Computational and storage requirements • Reliability and security • Identify optimal LSM configuration for RPC experiments • Data management activities • Elaboration of partner and NASA risks • Evaluation of the incorporation of identified NASA data into LIS (MODIS: LAI, NDVI, albedo) • LIS experiments integration into RPC RPC Preliminary Design Review (5/17/06) 34

  35. Observation Sensitivity Experiments for SCAN Enhancement • Evaluation of data assimilation techniques • EKF, EnKF • Data assimilation (land state) • Soil moisture • Soil moisture stations • AMSR-E • Temperature • MODIS LST • Sensitivity studies • Outcomes: soil moisture analysis product, uncertainty characterization RPC Preliminary Design Review (5/17/06) 35

  36. OSSEs for SCAN Extension • Identify region for pilot study • “Truth” run(s) • Open loop control run(s) • Selective data assimilation run(s) • Network optimization analysis • Network prioritization • Outcomes: evaluation report, identified ISS pathway RPC Preliminary Design Review (5/17/06) 36

  37. WRF-LIS Coupling Experiments • Identification of case studies • Consultations with SPoRT and NOAA • WRF-LIS runs: • Uncoupled WRF • WRF with LIS forcing using Noah LSM • WRF with soil moisture assimilated LIS forcing • Coupled WRF-LIS run(s) • Outcomes: evaluation report, quantitative and qualitative assessment RPC Preliminary Design Review (5/17/06) 37

  38. Cross-Cutting Demonstrations • Evaluate LIS capabilities in conjunction with MRC ISS project on assessment of forest fire risk potential • Region of study to focus on MS Gulf coast and other forests in MS • Evaluate the utility of USFS station data RPC Preliminary Design Review (5/17/06) 38

  39. RPC PMW Evaluation Package • Help integrate any available evaluation tools and packages • Provide expert advice to PMW development team RPC Preliminary Design Review (5/17/06) 39

  40. Deliverables • Evaluation report(s) • Peer-reviewed journal article(s) • ISS recommendation(s) RPC Preliminary Design Review (5/17/06) 40

  41. Risk Analysis • System incompatibilities • Security issues • Intellectual property • Quality, availability, suitability of data • AMSR-E, in-situ data • Validation data • Technical and scientific issues • Data assimilation, inconsistencies • Personnel, political, funding risks RPC Preliminary Design Review (5/17/06) 41

  42. Anticipated Societal Benefits • provides critical information to support drought monitoring and mitigation • provides critical information for predicting droughts based on weather and climate predictions • supports irrigation water management • supports fire risk assessment • supports water supply forecasting and NWS flood forecasting • supplies a critical missing component to assist with snow, climate and associated hydrometeorological data analysis • supports climate change assessment • enables water quality monitoring • supports a wide variety of natural resource management & research activities such as NASA remote sensing activities of soil moisture and ARS watershed studies. RPC Preliminary Design Review (5/17/06) 42

  43. LIS Evaluation Team & Collaborators • LIS Team: • Valentine Anantharaj and Georgy Mostovoy (MSU GRI) • Paul Houser (GMU CREW) • Christa Peters-Lidard (NASA GSFC HSB) • LIS Team at GSFC • Collaborators • USDA NRCS • NASA MSFC SPoRT (?) and NOAA • NASA GMAO (?) RPC Preliminary Design Review (5/17/06) 43

  44. Data RPC Evaluation of NASA Land Information System for Application in USDA-NRCS SCAN DST Partners EARTH SYSTEM MODELS • NASA Land Information System (Noah, Catchment LSM) • Forcing: [G|N]LDAS (NASA) using [G|E]DAS & CMAP (NCEP), AGRMET (AFWA), ECMWF, NCAR FNL, NARR, RUC • Data Assimilation: EKF, EnKF • Supercomputing: Project Columbia (NASA), HPC2 (MSU) RPC EVALUATIONS, V&V USDA-NRCS SCAN DST Predictions • Soil moisture maps from 12x12 km2 to 1x1 km2 • Sensitivity analyses using OSEs • AMSR-E data assimilation • OSSEs to help optimize DST network • NOAA NIDIS • Coupled WRF-LIS modeling applications • Global/Regional scale model products (1 – 50km) • soil moisture maps • Longer-term outlooks VALUE & BENEFITS • Mitigate drought effects • Support flood analysis • Producer decision making – planting, production, disease, pest management • Crop yield modeling and monitoring • Improved forecasting of severe weather and climate outlook • Ecological forecasting • Policy decisions EARTH OBSERVATIONS • air & land surface temperature, humidity, winds • precipitation • soil moisture, SST • radiation, aerosol • Atmosphere: ground-based measurements (WMO, ARM/CART), MPE (NOAA), NEXRAD, AMSR-E, GOES, MODIS, GPM, TRMM, GOES-R, PERSIANN, NPP, NPOESS • Land :SCAN (USDA), Mesonet, Producer-Cooperator Observations RPC Preliminary Design Review (5/17/06) 44 Uncertainty Analysis and Scientific Rigor *Next Generation Missions

  45. Estimated Level of Effort RPC Preliminary Design Review (5/17/06) 45

  46. Discussions? RPC Preliminary Design Review (5/17/06) 46

  47. Data RPC Evaluation of NASA Land Information System for Cross-Cutting Applications Potential Partners EARTH SYSTEM MODELS • NASA Land Information System (Noah, CLM, Vic) • Forcing: [G|N]LDAS (NASA) using [G|E]DAS & CMAP (NCEP), AGRMET (AFWA), ECMWF; NCAR FNL • Regional Models: WRF; RAMS-AROMA, COAMPS, and RUC (for evaluations) • Supercomputing: Project Columbia (NASA), HPC2 (MSU) RPC EVALUATIONS, V&V DECISION SUPPORT TOOLS Predictions • DHS NARAC/IMAAC at LLNL • USDA USFS Firelab • USDA FAS PECAD • USDA NRCS SCAN & NIDIS • NSSTC SERVIR • Coupled WRF-LIS modeling applications • EPA BASINS • USBR RiverWare • Global/Regional scale model products (1 – 50km) • analysis, hourly & daily forecasts • Longer-term outlooks VALUE & BENEFITS • Atmospheric assessment of emissions and air pollution • Fire risk modeling • Crop yield modeling and monitoring • Improved forecasting of severe weather • Ecological forecasting • Policy decisions EARTH OBSERVATIONS • air & land surface temperature, humidity, winds • precipitation • soil moisture, SST • radiation, aerosol • Atmosphere: ground-based measurements (WMO, ARM/CART), MPE (NOAA), NEXRAD, AMSR-E, GOES, MODIS, GPM, TRMM, Cloudsat, GOES-R, PERSIANN, NPOESS • Land :SCAN (USDA), Mesonet Observations RPC Preliminary Design Review (5/17/06) 47 Uncertainty Analysis and Scientific Rigor *Next Generation Missions

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