Gary Jedlovec Evolution SPoRT Products to End Users History and SPoRT paradigm Selected product examples Future products transitioning unique NASA data.

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Presentation transcript:

Gary Jedlovec Evolution SPoRT Products to End Users History and SPoRT paradigm Selected product examples Future products transitioning unique NASA data and research technologies to operations

We don’t just “throw unique data over the fence” to an end user! SPoRT Paradigm Match observations/capabilities to forecast problems Develop / assess solution in “testbed”, transition to decision support system Training, assessment and impact History of SPoRT Products to WFOs First MODIS image in AWIPS in Feb 03; suite of product to disseminate to 3 WFOs LMA data to HSV in Apr 03; improve lead time for occurrence of severe weather MODIS suite expanded to include coastal WFOs who were excited about high resolution SSTs leading to MODIS SST composite Share tools with extended product dissemination efforts (e.g. Univ. of Wisconsin) MODIS SSTs and AIRS profiles and radiances used to improve initializations for weather forecasting models resulting in improved forecasts Current State of SPoRT Products Over 30 products from MODIS, AMSR-E, AIRS, NALMA, GOES in AWIPS - 15 WFOs MODIS SSTs incorporated into V3 of WRF EMS SPoRT Paradigm

SR WFO Forecast Problems NWS Southern Region - common short-term forecast problems morning minimum temperatures (and its local variations) detection and monitoring of fog, smoke, fires coastal weather processes (sea breeze convection / temperatures) development / movement of off-shore precipitation processes – tropical systems gap filler in data void regions – atmospheric rivers of moisture transitioning unique NASA data and research technologies to operations timing and location of thunderstorms and severe weather diagnostic analysis of current conditions (esp. at night)

transitioning unique NASA data and research technologies to operations Products to End Users INSTRUMENT / PRODUCT RESOLUTION END USER DSSFORMAT MODIS Ch. Imagery (vis, 3.9, 6.7, 11 µm) 4 km, 1 km, 500 m (state), 250 m (WFO scale) Selected WFOs AWIPS, AWIPSII netCDF, McIDAS Multispectral composite images –natural/false color 4 km (CONUS), 1km (regional), 500m (state) Selected WFOs AWIPS, AWIPSII netCDF, McIDAS Derived image products clouds (mask, CTP, phase)4 km (CONUS) Selected WFOs AWIPS, AWIPSII netCDF, McIDAS fog / low cloud (11 – 3.9 µm ) 4 km (CONUS), 1 km (regional) Selected WFOs AWIPS, AWIPSII netCDF, McIDAS LST, SST, LI, TPW 4 km (CONUS), 1 km (regional) Selected WFOs AWIPS, AWIPSII netCDF, McIDAS Temporal composite images SST, chlorophyll4 km, 2 km, 1 km HWT, WFOs AWIPS, II, others netCDF, GRiB Non-image data fire and burn areasCONUSWFOsAWIPS IIshape file AMSR-E Rain rate, cloud water5 km (CONUS); 21 kmWFOsAWIPSIInetCDF SSTs38 km (CONUS)WFOsAWIPSnetCDF Total lightning data NALMA/DCLMA total lightning source densities 2 km / 2 minutes 1 km/ 1 minute Selected WFOs AWIPS, AWIPSII netCDF, GRiB

transitioning unique NASA data and research technologies to operations Incident meteorologists at WFOs work closely with other agencies to provide weather support for disaster response hurricanes severe weather local flooding fire weather support Wildfire support and response: fire weather forecasts spot forecasts of conditions MODIS data in AWIPS smoke mapping hot spot and burn area – data from other agencies Fire Weather / Disaster response USFS burn area and MODIS hot spots

transitioning unique NASA data and research technologies to operations MODIS “hot spot” Imagery MODIS thermal imagery alone improves identification / location of fire “hot spots” leading to better incident meteorologist support GOES infrared imagery 1453 UTC poorly isolates fire “hot spots” March 11, 2009 MODIS infrared imagery 1411 UTC isolates fire “hot spots” March 11, 2009

transitioning unique NASA data and research technologies to operations Products to End Users INSTRUMENT / PRODUCTRESOLUTIONEND USERDSSFORMAT Combined Instrument products MODIS/AMSR-E SST composite 1 km (NA coastal regions) Coastal WFOs AWIPS, AWIPSII netCDF, McIDAS POES/GOES SSTs9 km (NH) TWC / WFOs AWIPS, AWIPSII netCDF, McIDAS Blended TPW (from CIRA)16 km (NH) Selected WFOs AWIPS, AWIPSII netCDF, McIDAS MIMIC TPW (from UW)10 (NH) The Weather Channel ---GeoTIFF GOES Channel imagery(vis, IR,WV)1 km, 4 km The Weather Channel ---GeoTIFF Aviation products (fog depth, icing, cloud base -NESDIS) 4 km (CONUS) Selected WFOs AWIPS, AWIPSII netCDF, McIDAS GOES-R GLM proxy extent density10 km / 2 minutesSPoRTAWIPSIIGRiB ABI proxy imagery (vis, IR, WV) 500 m, 1 kmSPoRTAWIPSIIMcIDAS Miscellaneous WRF LIS daily forecasts w/ MODIS SSTs (NSSL/HWT) 4 km (CONUS) Selected WFOs AWIPS, AWIPSII GRiB Surface analysis (T, Td, RH, wind, SSTs) – SPoRT ADAS 2 km Selected WFOs AWIPS, AWIPSII GRiB

Moisture Information in Data Voids transitioning unique NASA data and research technologies to operations Ocean regions, Mexico, and Gulf of Mexico are relatively sparse w.r.t weather observations Heavy precipitation associated with “atmospheric rivers” of moisture from tropics Total precipitable water (TPW) and anomaly product used to monitor moisture sources in data sparse regions combined SSM/I, AMSU, GPS observations (CIRA/CSU & NESDIS) 4 times daily, anomaly is departure from previous week’s values AIRS analyses for 3-dimensional water vapor mapping over Pacific

transitioning unique NASA data and research technologies to operations Future Products and Dissemination Expansion to additional WFOs –AWIPS II makes it a lot easier Roam and zoom “Google Earth” type of environment – one big region Easily make products available to Regions via LDM More flexibility with data and displays in AWIPS II Transition existing EOS observations to AWIPS II NPP / NPOESS observations – CrIS and VIIRS Additional forecast problems – new WFOs and / or new measurements Air quality forecasts – AOD products from MODIS, forecasts Fire weather / disaster response – imagery / active fire and burn areas Land-falling hurricanes – observations and models Observations in data void regions (atmospheric rivers off Pacific coast) Re-occurring problems Convective initiation – nowcasting and WRF / LIS (improve w/ EOS data) Lightning forecasts