GOES-R Baseline Instruments

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Presentation transcript:

GOES-R Baseline Instruments Timothy J. Schmit James J. Gurka and Thomas M. Renkevens NOAA/NESDIS/STAR (Satellite Applications and Research) NOAA/NESDIS/GPO (GOES-R Program Office) Steve Goodman Steven Hill Mathew M. Gunshor NOAA/NESDIS/STAR NOAA SEC (Space Environment Center ) CIMSS (Cooperative Institute for Meteorological Satellite Studies) NOAA Goals GOES-R Baseline Instruments: ABI Advanced Baseline Imager GLM Geostationary Lightning Mapper SUVI Solar UV Imager EXIS Extreme UV/X-Ray Irradiance Sensor SEISS Space Environmental In-Situ Suite MAG Magnetometer Unique Payload Services: LRIT--Low Rate Information transmission EMWIN--Emergency Managers Weather Information Network DCS--Data Collection System SAR-- Search and Rescue GRB-- GOES Re-Broadcast Protect, restore, and manage the use of coastal and ocean resources through ecosystem-based management Serve society’s needs for weather and water information Understand climate variability and change to enhance society’s ability to plan and respond Support the Nation’s commerce with information for safe, efficient, and environmentally sound transportation GOES-R measurements can help fulfill each goal Isabelle. Figure courtesy of C. Schmidt, CIMSS ABI – Advanced Baseline Imager GOES-R Space Weather Instruments Space Environmental In Situ Suite (SEISS) proton, electron, and heavy ion fluxes Extreme UV/ X-Ray Irradiance Sensor (EXIS) solar X-ray flux magnitude solar EUV flux from 5 to 129 nm Solar extreme UV Image (SUVI) coronal holes locations solar flares coronal mass ejections Magnetometer GOES-R Improvements Solar UV image dynamic range, resolution, and sensitivity EUV measurements using 3 channels in improved modeling of ionosphere and thermosphere Low energy radiation environment responsible for spacecraft charging. ABI covers the earth approximately five times faster than the current Imager. Figure courtesy of ITT Industries Corresponding Simulated GOES Imager Spectral Bands: Simulated “ABI” Spectral Bands: Payload Services Additional GOES-R services include GOES-R ReBroadcast (GRB), Search and Rescue (SAR), Data Collection System (DCS), Emergency Managers Weather Information Network and Low Rate Information Transmission (LRIT). Simulated SUVI (Solar extreme UV Imager) GOES-R will produce multi-band "color" images at the same rate as GOES N/P produces single band images. Cougar Ace incident off of Alaska (24 rescued) was detected by GOES-11 at 0830UTC (and NOAA-17 at 0831UTC). Figure courtesy of Thomas. M. Wrublewski. “More than one-half of the currently operating [streamflow] stations have equipment that permits immediate transmission of data by means of satellite from the data-collection site. By using the telemetry, data are transmitted around the clock by means of two geostationary operations environmental satellites (GOES).” http://water.usgs.gov/nsip/ http://pubs.usgs.gov/circ/circ1123/collection.html#HDR12 The great amount of information from GOES-R will both offer a continuation of current product and services, but also allow for improved or new capabilities. These products will cover a wide range of phenomena, relating to: weather, climate, ocean, land, hazards, solar and space. The instruments and services on GOES-R will enable much improved monitoring compared to current capabilities. Images courtesy of SOHO EIT, a joint NASA/ESA program GOES-R Observational Requirements: GLM – Geostationary Lightning Mapper Detects Total Strikes: In Cloud, Cloud To Cloud, And Cloud To Ground Complements land based Systems that only measures cloud to ground (about 15% of the total lightning) Increased Coverage Over Land and Ocean Currently limited land coverage in “dead zones”, and no ocean coverage * = Products degraded from original GOES-R requirements (e.g.; now no HES) ABI – Advanced Baseline Imager Continuity of GOES Legacy Sounder Products from ABI SEISS – Space Env. In-Situ Suite EXIS – EUV and X-Ray Irradiance Sensors GLM – Geostationary Lightning Mapper Magnetometer SUVI – Solar extreme UltraViolet Imager Aerosol Detection (including Smoke and Dust) Aerosol Particle Size Volcanic Ash * Aircraft Icing Threat Cloud Imagery: Coastal Cloud & Moisture Imagery Cloud Layers / Heights & Thickness * Cloud Ice Water Path * Cloud Liquid Water Cloud Optical Depth Cloud Particle Size Distribution Cloud Top Phase Cloud Top Height * Cloud Top Pressure * Cloud Top Temperature * Cloud Type Convection Initiation Enhanced “V” / Overshooting Top Detection Hurricane Intensity Low Cloud & Fog Lightning Detection Turbulence Visibility Suspended Matter / Optical Depth Geomagnetic Field Probability of Rainfall Rainfall Potential Rainfall Rate / QPE Legacy Afm. Vertical Moisture Profile * Legacy Afm. Vertical Temperature Profile * Derived Stability Indices * Total Precipitable Water * Total Water Content * Clear Sky Masks Radiances * Absorbed Shortwave Radiation: Surface Downward Longwave Radiation: Surface Downward Solar Insolation: Surface Reflected Solar Insolation: TOA Upward Longwave Radiation *: Surface & TOA Ozone Total * SO2 Detection * Derived Motion Winds * Fire / Hot Spot Characterization Flood / Standing Water Land Surface (Skin) Temperature * Surface Albedo Surface Emissivity * Vegetation Index Currents Sea & Lake Ice / Age Sea & Lake Ice / Concentration Sea & Lake Ice / Extent & Edge Sea & Lake Ice / Motion Ice Cover / Landlocked Snow Cover Snow Depth Sea Surface Temps Energetic Heavy Ions Mag Electrons & Protons: Low Energy Mag Electrons & Protons: Med & High Energy Solar & Galactic Protons Solar Flux: EUV Solar Flux: X-Ray Solar Imagery: extreme UV / X-Ray Vegetation Fraction: Green Combined 10-yr LIS/OTD for July GLM Applications and Benefits Predict the onset of tornadoes, hail, microbursts, flash floods; Tornado lead time -13 min national average, improvement desired Track thunderstorms and warn of approaching lightning threats; Lightning strikes responsible for >500 injuries per year, 90% of victims suffer permanent disabilities and long term health problems, chiefly neurological in nature Lightning responsible for 80 deaths per year (second leading source after flooding) The potential GLM full-disk coverage area with two satellites. Improve airline routing around thunderstorms; improving safety, saving fuel, and reducing delays; Provide real-time hazardous weather information, improving the efficiency of emergency management; NWP/Data Assimilation; Locate lightning strikes known to cause forest fires and reduce response times; Multi-sensor precipitation algorithms; Thunderstorms and deep convection in global climate; Seasonal to interannual variability Provide a new data source to improve air quality / chemistry forecasts.