GPM March 12, 2002 Eric A. Smith 1 1st GPM Workshop on Algorithms & Data Products Eric A. Smith; NASA/Goddard Space Flight Center, Greenbelt, MD [tel: ; fax: ;March 12-13, 2002; Greenbelt, MD Global Precipitation Measurement (GPM) Mission An International Partnership & Precipitation Satellite Constellation for Research on Global Water & Energy Cycle Overview & Preliminary Planning GPM March 12, 2002 Eric A. Smith 2 .Review preliminary planning & define continuing agenda for precipitation algorithms & data products development (Erich Stocker's main concern). .Review & approve conceptual algorithm & data products architecture that enables TSDIS group to make progress now (Ziad Haddad, Chris Kummerow, Bob Meneghini, John Stout, Wai-K. Tao). Connect algorithm/data products program to GV program & continuous error characterization, noting separation of science from requirements (Sandra Yuter). V.Foreword three (3) important recommendations to GPM instrument manager (Mark Flaming) concerning specifications for core satellite radiometer, i.e., GPM Microwave Imager (GMI): (a) exact frequency definitions; (b) contiguity requirements & implications; (c) priorities for high frequency channels -- assuming they are provided. Purpose of Workshop GPM March 12, 2002 Eric A. Smith 3 Primary IPDS Elements Advanced Data System Data Archive & Distribution CalVal Simulator Science Guidance Integrated Precipitation Data Plan (IPDS): Accelerated Plan GPM March 12, 2002 Eric A. Smith 4 IPDS Architecture TRMM Geo IR Testbed I/F Simulator Dual Frequency DPR Synthesizer World Precipitation Data System Experimental Rain Products & Error Characterization Validation / Error Estimates DAAC Field Campaigns Ground Instruments CalVal Simulator Evolving Advanced GPM Algorithms Precipitation Algorithm Release V0V1V2V3V4 V5 V6V7V8V9 V6gV7gV8g TRMMGPM Beta Science Guidance Testbed I/F Stds NewDISS Formulation Initiative Megha Trop EGPM EvolutionTools & Data FormatsGeneric I/F GHCC SSMIS/AMS R SAN Interface GPM March 12, 2002 Eric A. Smith 5 TBD b (ATMI/DPR) GPM Core DMSP-F18/20 DMSP-F19 GCOM-B1 (SSMIS) (AMSR-FO) N-GPM E-GPM FY-3 (E-PMR) Reference Co-Op Drone Partners NPOESS-1 NPOESS-2 NPOESS-3 (CMIS) MEGHA TROPIQUES (MADRAS) Potential New Drones/Partners Strategy for Populating Constellation NPOESS-Lite (CMIS) (C-PMR) (N-PMR) TRMM AQUA ADEOS-IIDMSP-F17 DMSP-F16 GPM March 12, 2002 Eric A. Smith 6 Virtual Ground Station Core NASA Drone Partner Drone DMSP TDRSS GCOM Command Telemetry White SandsIPO Operations NASDA Operations GHCC/MSFC GPM Partner Mission Operations/Data Center GSFC Global Precipitation Data Center (GPDC) Near Real-time Rainfall 3-hr Rain Map Climate Data Per Orbit IR Data (GOES) AMSU (POES) Per Orbit Ancillary Data Streams GP Data Broadcast Network Global Precipitation Network Continuous Real Time Data Links Once Per Orbit Data Links Command/Telemetry Links Continuous Science Data NASA Mission Operations Center Coordination Potential ESA (E-GPM) & ASI (I-GPM) Partnerships EOSDIS GPM Operations & Data Flow GPM March 12, 2002 Eric A. Smith 7 I. How is global Earth system changing? (Variability) 1. How are global precip, evap, & water cycling changing? 2. How is global ocean circulation varying on interannual, decadal, & longer time scales? 3. How are global ecosystems changing? 4. How is stratospheric ozone changing, as abundance of ozone-destroying chemicals decreases & new substitutes increases? 5. What changes are occurring in mass of Earths ice cover? 6. What are motions of Earth & its interior, & what information can be inferred about its internal processes? II. What are primary forcings of Earth system? (Forcing) 1. What trends in atmospheric constituents & solar radiation are driving global climate? 2. What changes are occurring in global land cover & land use, & what are their causes? 3. How is Earths surface being transformed & how can such information be used to predict future changes? III. How does Earth system respond to natural & human-induced changes? (Response) 1. What are effects of clouds & surf hydrology on climate? 2. How do ecosystems respond to & affect global environmental change & carbon cycle? 3. How can climate variations induce changes in global ocean circulation? 4. How do stratospheric trace constituents respond to change in climate & atmospheric composition? 5. How is global sea level affected by climate change? 6. What are effects of regional pollution on global atmosphere, & effects of global chemical & climate changes on regional air quality? How is Earth changing and what are consequences for life on Earth? Tracibility to ESE's Strategic Plan IV. What are consequences of change in Earth system for civilization? (Consequences) 1. How are variations in local weather, precipitation & water resources related to global climate variation? 2. What are consequences of land cover & use change for sustainability of ecosystems & economic productivity? 3. What are consequences of climate & sea level changes & increased human activities on coastal regions? V. How well can we predict future changes in the Earth system? (Prediction) 1. How can weather forecast duration & reliability be improved by new space obs, data assim, & modeling? 2. How well can transient climate variations be understood & predicted? 3. How well can long-term climatic trends be assessed & predicted? 4. How well can future atmospheric chemical impacts on ozone and climate be predicted? 5. How well can cycling of carbon through Earth system be modeled, & how reliable are predictions of future atmospheric concentrations of carbon dioxide & methane by these models? Asrar, G., J.A. Kaye, & P. Morel, 2001: NASA Research Strategy for Earth System Science: Climate Component. Bull. Amer. Meteorol. Soc., 82, GPM March 12, 2002 Eric A. Smith 8 Improved Climate Predictions: through progress in quantifying trends & space-time variations of rainfall & associated error bars in conjunction with improvements in achieving water budget closure from low to high latitudes -- plus focused GCM research on advanced understanding of relationship between rain microphysics/latent heating/DSD properties & climate variations as mediated by accompanying accelerations of both atmospheric & surface branches of global water cycle. Improved Weather Predictions: through accurate, precise, frequent & globally distributed measurements of instantaneous rainrate & latent heat release -- plus focused research on more advanced NWP techniques in satellite precipitation assimilation & error characterization of precipitation retrievals. Improved Hydrological Predictions: through frequent sampling & complete continental coverage of high resolution precipitation measurements including snowfall -- plus focused research on more innovative designs in hydrometeorological modeling emphasizing hazardous flood forecasting, seasonal draught-flood outlooks, & fresh water resources prediction. GPM Mission is Being Formulated within Context of Global Water & Energy Cycle with Foremost Science Goals Focusing On GPM March 12, 2002 Eric A. Smith 9 Is Water Cycle Accelerating? GPM March 12, 2002 Eric A. Smith 10 TRMM-retrieved Radar & Radiometer Rainfall Anomaly Time Series with MSU-retrieved ice index (DCI) ( anomalies normalized by annual mean ) (F.R. Robertson; GHCC) GPM March 12, 2002 Eric A. Smith 11 Atmosphere WaterLand Weather, Climate, & Hydrology (1) Global Water & Energy Cycle Processes & Modeling: Role of Precipitation (Prof. Eric Wood, Princeton) (2) Climate System Variability & Climate Diagnostics: Role of Precipitation (Dr. Franklin Robertson, GHCC) (3) Climate Model Simulations & Reanalysis, NWP Techniques, & Data Assimilation: Role of Precipitation (Dr. Arthur Hou, NASA/GSFC) (4) Land Surface Hydrology & Hydrometeorological Modeling: Role of Precipitation (Dr. Harry Cooper, Fla. State Univ.) (5) Ocean Surface & Marine Boundary Layer Processes: Role of Precipitation (Dr. Vikram Mehta, NASA/GSFC) (6) Coupled Cloud-Radiation Modeling: Physical Interpretation of Precipitation Processes (Prof. Gregory Tripoli, Univ. Wis. & Dr. Wei-K. Tao, NASA/GSFC) (7a) Precipitation Retrieval: Reference Radar-Radiometer Core Algorithm & Radar Simulator (Dr. Ziad Haddad, NASA/JPL) (7b) Precipitation Retrieval: Parametric Radiometer Constellation Algorithm & Radiometer Simulator (Prof. Christian Kummerow, Colo. State Univ.) (7c) Precipitation Retrieval: Cal Transfer, Bias Removal, & Merged Products (Prof. Eric Smith, NASA/GSFC) (8) Calibration & Validation of Satellite Precipitation Measurements (Dr. Sandra Yuter & Prof. Robert Houze, Univ. Washington) (9) Forecast Apps, Public Service, TV, & Educational Outreach (Dr. Marshall Shepherd, NASA/GSFC) GPM Mission's Nine (9) Science Themes USGCRP WCSG, 2001: A plan for a new science initiative on the global water cycle. UCAR Report., sponsored by USDA, DOE, NASA, NOAA, NSF, USGS, ACE, BREC, & EPA, 118 pp. GPM March 12, 2002 Eric A. Smith GPM Disciplinary Research Themes, Science Requirement Groups, & Main Provisional Science Objectives 5 6 7a 7b 7c GPM March 12, 2002 Eric A. Smith 13 . Level 2 Orbit Swath Products (similar to TRMM) . Level 3 Grid Products (modification to TRMM) arithmetically consistent succession: (1) 0.1 x 0.1 deg; (2) x.25 deg; (3) 1.0 x 1.0 deg; (4) 5.0 x 5.0 deg simplified & integrated parameter set: (1) surface rainrate/rainfall & grid variance; (2) convective-stratiform separation; (3) bulk DSD parameters; (4) latent heating profile; (5) confidence index four (4) types of retrieval results ordered by retrieval quality: (1) core sat result (combined DPR - GMI); (2) constellation sat result (rain radiometers) (3) non-rain radiometer result (e.g., AMSU); (4) geo-infrared result ( GOES, GMS, METEOSAT, MSG ) Full Resolution Pixel Tables (extension to TRMM) tabulates all instantaneous rain pixels from all satellite sources within individual 3-hourly 0.1 x 0.1 deg grid elements, identified in space & time V Level 4 Scale Invariant Blended Products (new) properly transformed to constant space-time scales Proposed GPM Precipitation Products Goal is relatively seamless transition of precipitation products from TRMM to GPM eras, thus minimizing mission change impacts on science community. GPM March 12, 2002 Eric A. Smith 14 .Level 1 Swath Products: Mostly same procedures & definitions, but with greater emphasis on calibration quality assurance -- this is business of both project & science team with project providing continuous quality checking, TSDIS conducting zero-biasing of constellation members relative to core, & science team providing oversight. .Level 2 Swath Products: Mostly same procedures & definitions, but with greater emphasis on accuracy of instantaneous retrievals & validation of "unfolded" physical algorithms -- this is strictly business of science team coordinated with TSDIS. .Level 3 Grid Products & Full Resolution Pixel Tables: Modified procedures & definitions -- this is strictly business of TSDIS because these products are directly derivable from level 2 products, should be user-friendly, & should be arithmetically consistent. V Level 4 Scale Invariant Blended/Gridded Products: New procedures & definitions -- this is a research problem to be addressed by science team and to be implemented on TSDIS when properly mature. How is Seamlessness Achieved? GPM March 12, 2002 Eric A. Smith 15 Accelerated Algorithm Development 1. Design & test GPM-era "precipitation product" generation system, as continuation of level-1 & level-2 "algorithm version" system adopted for TRMM, to enable seamless product transition from TRMM-era to GPM-era [GPM-era products will eventually be brought on-line for routine processing based on approval of "Integrated Precipitation Science Team"]. 2. Develop, code, & test three (3) main new GPM-era precipitation retrieval algorithms: (i) level-2 reference DPR-GMI combined, (ii) level-2 parametric PMW radiometer, & (iii) level-3 merged- gridded products at time-space resolutions of: (a) 3-hour / 0.1'deg (b) 1-day / 0.25'deg (c) 5-day / 0.5'deg (d) 1-month / 5.0'deg to determine computational performance in TSDIS / GPDC environment -- to be ready for implementation in late TRMM era [advanced GPM algorithms will not be vulnerable to drop-outs of any particular satellite, instrument, or channel -- including core satellite instruments]. 3. Develop level-3 merged-gridded products at hierarchy of above space-time scales, all arithmetically consistent, containing 5 types of results: (a) DPR-GMI combined result [#allpix, aveRR allrain, sigRR allrain, #convpix, aveRR conv, sigRR conv, #stratpix, aveRR strat, sigRR strat, #unknpix, aveRR unkn, sigRR unkn, confindexREF, LHREF(4), DSD(3)] (b) constellation rain radiometer result [#allpix, aveRR all, sigRR all, #convpix, aveRR conv, sigRR conv, #stratpix, aveRR strat, sigRR strat, #unknpix, aveRR unkn, sigRR unkn, confindexCON, LHCON(4)] (c) non-rain radiometer (e.g., AMSU) result [#allpix, #rainpix, aveRR rain, sigRR rain, confindexNRR] (d) GEO IR result [#allpix, #rainpix, aveRR rain, sigRR rain, confindexIR] (e) merged-weighted combination of above 4 results [mergeRR, confindexMERGE] 4. Develop pixel-level precipitation table product (sattype, time, lat, lon, RR, raintype, confindex) using all existing satellite rain sources, with pointers to "gridded" 3-hourly level-3 product, to enable detailed/high resolution space-time analysis [must not break TRMM paradigm that precipitation products are sized for "reasonable" communications & computer analysis efficiency, i.e., "no Huge & Unwieldy files"]. GPM March 12, 2002 Eric A. Smith 16 Scientific Challenges for GPM Mission 1.Shift intellectual inquiry paradigm from "curiosity driven" to "quintessential problem driven" -- through GPM science team working group coordination. 2.Shift research paradigm from "measuring takes precedent" to "prediction takes precedent" -- through mandate for GPM science team. 3.Shift derived products paradigm (e.g., latent heating, DSDs, macro/microphysical cloud properties, error characterization, solid precipitation, vertical rain mass flux) from "cautious release" to "aggressive release" -- through modeler involvement in product assessment. 4.Shift fast delivery data paradigm from "only operational users need them" to "research users need them too" -- through transfer of specialized data products from GPM-WPDC to research partners conducting prediction experiments. 5.Shift validation paradigm from "comparison scatter diagrams" to "physical error modeling" involving inverting flow of data from & to validation center and deploying new ground instruments at various validation supersites. 6.Shift cloud/precipitation paradigm from "these are separate & distinct problems" to "this is microphysical continuum" leading to integrated cloud-precipitation missions, research programs, textbooks, and teaching. Coordinate GPM Science Implementation Plan with GEWEX GPM March 12, 2002 Eric A. Smith 17 Backup Slides GPM March 12, 2002 Eric A. Smith 18 Error Characterization 1 based on: physical error model ( passive-active RTE model ) matched satellite radiometer/radar instrument on ground with continuous calibration ( eyeball ) independent measurements of observed inputs needed for error model Bias & Bias Uncertainty all retrievals from constellation radiometers & other satellite instruments are bias adjusted according to bias estimate for reference algorithm from core satellite GPM March 12, 2002 Eric A. Smith 19 based on: ground Radars ( polarization diversity enables cross-checking ) high-quality, uniformly distributed, dense, & hi-frequency sampled raingage networks Precision & Space-Time Error Covariance Error Characterization 2 GPM March 12, 2002 Eric A. Smith 20 Radiance Tube TOA meteorology & microphysics characterization volume observed by independent instruments Doppler Profilers (2) for precip/cloud hydrometeor profiles Radiosonde for T(z)/q(z) profiles Downward-pointing Radiometer for surface emissivity Raingage & Disdrometer Network for cross-checking TOA Surface Principles of Physical Error Modeling matched core satellite radiometer/Radar ground instrument Eyeball [with active target calibration] difference between retrieved & RTE modeled hydrometeor profiles yields retrieval "bias" mismatch in 2-ended RTE model solution based on absorption-scattering properties assigned to characterization volume yields retrieval "bias uncertainty" Note: ground Radars & regional raingage networks in conjunction with coincident satellite retrievals can generate "space-time correlation structure functions" & "space-time error covariance matrices". Surface GPM March 12, 2002 Eric A. Smith 21 GPM Validation Strategy Tropical Continental Confidence sanity checks GPM Satellite Data Streams Continuous Synthesis error variances precip trends Calibration Mid-Lat Continental Tropical Oceanic Extratropical Baroclinic High Latitude Snow Research Quality Data Algorithm Improvements Research cloud macrophysics cloud microphysics cloud-radiation modeling FC Data Supersite Products II. GPM Supersites Basic Rainfall Validation hi-lo res gauge/disdrometer networks polarametric Radar system Accurate Physical Validation scientists & technicians staff data acquisition & computer facility meteorological sensor system upfacing multifreq radiometer system D o /DSD variability/vertical structure convective/stratiform partitioning III. GPM Field Campaigns GPM Supersites cloud/ precip/radiation/dynamics processes GPM Alg Problem/Bias Regions targeted to specific problems I. Basic Rainfall Validation Raingauges/Radars new/existing gauge networks new/existing radar networks GPM March 12, 2002 Eric A. Smith 22 Potential GPM Validation Sites Supersite Regional Raingage Site Supersite & Regional Raingage Site Australia NASA Ocean Japan South Korea India France (Niger & Benin) Italy Germany Brazil England Spain NASA KSC NASA Land Canada Taiwan ARM/UOK