Transitioning unique NASA data and research technologies to operations GOES-R Proving Grounds Fifth Meeting of the Science Advisory Committee 18-20 November,

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transitioning unique NASA data and research technologies to operations GOES-R Proving Grounds Fifth Meeting of the Science Advisory Committee November, 2009 Matt Smith, Kevin Fuell, Geoffrey Stano National Space Science and Technology Center, Huntsville, AL

transitioning unique NASA data and research technologies to operations Background GOES-R Proving Grounds Activities Lightning Team at NASA/MSFC LMA SPC Spring Program Proxy needs are key

transitioning unique NASA data and research technologies to operations SPoRT South/Southeast Focus for GOES-R Products Forecast Issues Diagnosing changing weather Diagnosing low clouds and fog Local temperature forecasts Visibility reductions from smoke and fire weather Lead time for severe weather Sea breeze impact Diagnosing severe weather and heavy precipitation Convective weather forecasts Regional precipitation forecasts and off shore weather Relevant GOES-R product/data ABI – high res. imagery and derived products ABI – enhanced channel difference imagery ABI – Land Surface Temperature ABI – Color composites, active fires and burn areas GLM – Total lightning, and lightning threat ABI – Local models initialized with surface parameters and SST ABI & GLM – Blended TPW & Extent Density ABI – Local modeling initialized with veg. parameters, and SSTs, and assimilated cloud track winds T(p), q(p), 3D fields of met. variables from model forecasts improved with radiances or profile information

transitioning unique NASA data and research technologies to operations Proving Ground Objectives Transition Algorithm Working Group results Available to Risk Reduction efforts Transition and evaluate GLM proxy Training for GLM proxy products Provide use in NWS next generation display (AWIPS II) Assist with near-real-time ABI demo

transitioning unique NASA data and research technologies to operations LMA and LDAR networks North Alabama LMA network Lightning Mapping Array

transitioning unique NASA data and research technologies to operations The 2009 Spring Program  Combination of several activities  Experimental Warning Program  Experimental Forecast Program  GOES-R Proving Ground  Used a GLM proxy  Data from DC, North Alabama, and Oklahoma  Source density “smeared” to larger grid  Used in real-time to monitor storms and issue warnings

transitioning unique NASA data and research technologies to operations First Order GLM Proxy Products  Several lessons learned  Need flash-based GLM proxy  Must be available for 2010 program  Great deal of forecaster interest  This is being developed by SPoRT and partners in Huntsville  Access to AWG  Many lightning experts  AWIPS II development efforts AWG: Only flashes with >15 sources used  Incorporate AWG work  Familiarize forecasters  Find additional visualizations

transitioning unique NASA data and research technologies to operations Flash Origin Density – GLM pseudo-Proxy

transitioning unique NASA data and research technologies to operations Flash Extent Density – GLM pseudo-Proxy

transitioning unique NASA data and research technologies to operations Updraft Intensifies Vortex Spin-up Q: Will GLM be able to imitate the powerful results from LMA? A: ? SPoRT is leading the effort to find out. GLM? What is the Practical Benefit?

transitioning unique NASA data and research technologies to operations NALMA Pseudo GLM (Flash Extent w/ Radar) Source density, VIL, Reflectivity 0.5, 1.3 A Training Scenario  Source Density  Updraft velocity  Other products not always indicative of cell intensity  AWIPS II will allow better viz  Electrification forecast value still being explored

transitioning unique NASA data and research technologies to operations Benefits to the Proving Ground Radar NALMA  SPoRT’s efforts to ingest products into AWIPS II are preparing for the future of visualization by NWS (SPoRT core activities)  SPoRT is developing expertise with AWIPS II (McIDAS plug-in)  Training to support Spring Programs

transitioning unique NASA data and research technologies to operations Classic MODIS situation MODIS IR 1km – 1825Z, Oct 12, 2009

transitioning unique NASA data and research technologies to operations The standard: GOES GOES IR 4km – 1815Z, Oct 12, 2009

transitioning unique NASA data and research technologies to operations A solution: MODIS/GOES hybrid MODIS/GOES IR 1km – 1815Z, Oct 12, 2009

transitioning unique NASA data and research technologies to operations AWIPS – Image Combination In AWIPS - a GOES and MODIS image can be combined in D2-d, but transparency of each blurs the high resolution detail from MODIS In AWIPS II, we are able to pan and zoom freely.

transitioning unique NASA data and research technologies to operations MODIS Bowtie Correction Edges of the MODIS swath suffers from “bowtie effect” McIDAS algorithm being used to fix bowtie in near real-time Returns the full image to a usable state at county level scales 1944 Z MODIS 500m VIS after bowtie fix1944 Z MODIS 500m VIS original image

transitioning unique NASA data and research technologies to operations Looping makes the difference GOES IR 4km Z, Oct 12, 2009 MODIS/GOES Hybrid IR 1km Z, Oct 12, 2009

transitioning unique NASA data and research technologies to operations MODIS/GOES Hybrid as proxy to ABI “Near real-time” product being produced half-hourly for o IR (11um): 4km GOES / 1km MODIS o VIS : 1km GOES / 500m (250m) MODIS o Water Vapor: 4km GOES / 1km MODIS Alternate to case-based proxy data work being done by others, but SPoRT is open to other real-time products for PG users Showcases capabilities of AWIPS II 1445Z – 2045 Hybrid with bowtie correction

transitioning unique NASA data and research technologies to operations MODIS/GOES Hybrid as proxy to ABI Image over CO has greater detail - for diagnosis of convection GOES fills in the regional view for continuity 2045Z Hybrid with bowtie correction MODIS GOES

transitioning unique NASA data and research technologies to operations MODIS/GOES Hybrid for Derived Products Presently, producing half-hourly 11µm hybrid Future, look to derived products such as the fog or TPW, etc. Long Range, develop a hybrid of a multi-channel product 0815Z Hybrid of “Fog” product, bowtie fixed MODIS in AWIPS without fix

transitioning unique NASA data and research technologies to operations GOES-R PG Future Work – Transition and evaluation of proxy products from PG members to forecast issues of S/SE WFOs – Contribute expertise on total lightning in operations based on partnerships with AWG and RR and past work over several years with WFOs – Use of proxy data for multi-channel or composite product development, as needed for S/SE forecast issues (comments have been positive) – Lightning threat forecast product from WRF-ABI run – Integrate into new AWIPS II DSS – Use both real and proxy data to understand impacts of data assimilation / model initialization – Assist in SPC Spring Programs

transitioning unique NASA data and research technologies to operations Questions?

transitioning unique NASA data and research technologies to operations Backup slides

transitioning unique NASA data and research technologies to operations Transition Efforts (the SPoRT Paradigm) Match products to problems Make products available to forecasters in their DSS Develop and implement product training Conduct assessment on utility of product in operations Document usefulness of product to address specific forecast need Examples of transitioned products include MODIS SST and Fog products, GOES aviation products, and CIRA TPW.

transitioning unique NASA data and research technologies to operations MODIS/GOES Hybrid as proxy to ABI GOES provides the background to more smoothly loop the data Higher resolution MODIS inserted at closest time to simulate what ABI would provide. Difference in quality from 4km and 1km data is readily apparent MODIS data in 1845Z and 2045Z 1445Z – 2045 Hybrid with bowtie correction