Other Related Activities Gary Jedlovec transitioning unique NASA data and research technologies to operations 12 17 22 27 Single image MODIS Composite.

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Other Related Activities Gary Jedlovec transitioning unique NASA data and research technologies to operations Single image MODIS Composite

transitioning unique NASA data and research technologies to operations Role of Other Funding (Non SPoRT “Core”) Leverage off SPoRT core capabilities to address other forecast issues and / or to extend activities to other users – helps fulfill SPoRT vision Draws on SPoRT expertise (data, remote sensing, AWIPS, etc.) or partner relationship to help others accomplish more for less Diversified funding sources helps maintain core staff (expertise) during valleys in core funding

Loss of Goodman / Lapenta reduced C.S. staff – took two plus years to build up Ramp up at research scientist level much quicker C.S. and liaison loss Manpower and Funding transitioning unique NASA data and research technologies to operations Full Cost Lean EOS Budget Not looking for budget review but provides perspective and insight! Diversified funding source since 2007 to help maintain expertise and build depth in project capabilities

ROSES 07 JPL – Vazquez - Enhanced SST composites product disseminated by the PO DAAC Mecikalski (UAH) – applications of NASA data to improve FAA tactical forecasts of CI ROSES 08 Jones (StormCenterCom.) - NASA data in EVTT collaboration tool for NWS/FEMA Jones (StormCenterCom.) - NASA data in EVTT collaboration tool for GOMA partners Lidard (GSFC) – help integrate / upgrade land representation in coupled WRF / LIS ROSES 09 (pending) Molthan (NASA/SPoRT) - Improve WRF microphysical cloud parm. MODIS / CloudSat Mattocks (UNC) - Storm surge tool for Gulf Coast states for changing climate scenarios Others Valenti (WorldWinds, Inc.) - Generation of a chlorophyll composite product (2008) Jedlovec (NASA) - Enhanced convective forecasts in support of air traffic planning (FAA) Other Related Funded Activities transitioning unique NASA data and research technologies to operations

Motivation Coastal WFOs have identified need for high resolution SST product to help with forecast issues Previous SPoRT composite SST product (MODIS only) has limitations under extended periods of clouds Partnered with the physical oceanography team at JPL (ROSES 2007) – MODIS and AMSR-E, CONUS coverage, bias correction and error weighting Enhanced MODIS /AMSR-E Composite SST Single image MODIS Composite transitioning unique NASA data and research technologies to operations Use near real-time L2P data stream (JPL) for MODIS and AMSR-E passes more passes – expand product coverage – pixel by pixel quality estimates and bias – slight additional delay in data access – tolerable – better cloud / rain detection – Aqua data coarse resolution with no data near coast Algorithm changes - latency, error, and resolution weighted product Operational product disseminated as part of GHRSST data stream at JPL

Enhanced Composite SST Example Enhanced approach combines MODIS and AMSR-E data for the previous week in a latency –weighted compositing scheme Aqua MODIS Day MODIS Composite SST Aqua AMSR-E Day AMSR-E Composite SST – Aqua Day MODIS/AMSR-E OSTIA Fill MODIS/AMSR-E + transitioning unique NASA data and research technologies to operations Enhanced MODIS / AMSR-E composite SST product validated against drifting and fixed buoys in various regions / seasons Biases reduced by over 50% (to ~0.2K) with significant reduction in RMS error BIAS Atlantic Ocean

Enhanced Composite SST Example Enhanced approach combines MODIS and AMSR-E data for the previous week in a latency –weighted compositing scheme Aqua MODIS Day MODIS Composite SST Aqua AMSR-E Day AMSR-E Composite SST – Aqua Day MODIS/AMSR-E OSTIA Fill MODIS/AMSR-E + transitioning unique NASA data and research technologies to operations Enhanced MODIS / AMSR-E composite SST product validated against drifting and fixed buoys in various regions / seasons Biases reduced by over 50% (to ~0.2K) with significant reduction in RMS error BIAS Atlantic Ocean RTGMODIS/AMSR-E Aqua - Day Loop of RTG and MODIS/AMSR-E SSTs for December 2008.

Enhanced SST Composite Summary High resolution SSTs provide a valuable data source for regional weather forecast models and validation studies This collaboration with JPL and its Physical Oceanography DAAC improves on previous technique to generate composite SST product Enhancements include use of GHRSST L2P data stream – access to all EOS passes for MODIS and AMSR-E – cloud masking / confidence flags / bias correction – latency / error / resolution weighted compositing algorithm Near real-time CONUS product available (beta now from SPoRT) from JPL in January 2010 transitioning unique NASA data and research technologies to operations 4x / day product captures major component of the diurnal cycle of SST – use may add value to subsequent forecasts Many requests for real-time and historical product

Partnered with WorldWinds, Inc to apply (SST) compositing approach / technology to MODIS chlorophyll product from USF and available through SPoRT WorldWinds, Inc. disseminates product to public – Transition to PO.DAAC data stream for broader applications in near future transitioning unique NASA data and research technologies to operations NASA Data in EVTT Collaboration Tool High-resolution Chlorophyll Composite Working with Storm center Communications (D. Jones) to bring NASA data and AWIPS II output into the EnviroVision Touch Table (EVTT) collaboration environment for natural disaster preparedness and warning Gulf of Mexico Alliance (GOMA) partners and Texas Governors Division of Environmental Management FEMA / NWS SR

Summary SPoRT seeks other funds to leverage off SPoRT core capabilities to address other forecast issues and / or to extend activities to other users SPoRT is readily becoming recognized as the “go to place” for transition of research capabilities to operations for short- term forecasting activities Draws on SPoRT expertise (data, remote sensing, AWIPS, etc.) or partner relationship to help others accomplish more for less Diversified funding sources helps maintain core staff (expertise) during valleys in core funding transitioning unique NASA data and research technologies to operations