Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Commerce and Transportation.

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Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Commerce and Transportation (C&T) Synthesis and Future Directions Presented by Pablo Clemente-Colón Presented by Pablo Clemente-Colón

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 C&T Highlights & Threads from presentations & posters Science Challenges –Sensor/Data Limitations The resolution and accuracy of products is limited by sensor calibration, observing capabilities, and physical constraints (ex., gravity-depth non-linearity). How can multi-polarization and multi-frequency SAR imagery improve accuracy of oils spills (with minimum false alarms), hard targets, and sea ice algorithms and analysis? Difficulty in separating atmospheric & surface effects on surface solar radiation estimates over snow. –Validation Data The availability of in-situ data for validation and algorithm training (sufficient ground and airborne observations, processing, data management, etc.) is a major issue. How can satellite data products be used to validate and improve forecasts of ash cloud dispersion given the lack of in-situ observations? Visibility retrievals are still affected by PBL height uncertainties, inhomogeneous distributions of aerosols, and aerosol layers in the free troposphere. Need to validate the use of remote sensing and model data to effectively support the detection, beaching prediction, and removal of marine debris. –Model Improvements Improvements on wide temporal and spatial sea ice forecast scales are required. Present models are not capable of predicting extreme winds or sea ice changes. Can predictability of severe convective storm winds, and lead time and accuracy of severe weather warnings be significantly improved? Robust parameterization of wind change from surface observations through the boundary layer, i.e., better model assimilation of surface winds, is needed. 2

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 C&T Highlights & Threads from presentations & posters Research Needs –New techniques, methodologies, and algorithm refinements to improve retrievals Improve assimilation of scatterometer data in NWS wind warning and forecast products Test new algorithms against classified Navy/NGA surveys Improvement of altimeter signal to noise ratio to increase bathymetry resolution Develop automated combination of LEO/GEO global volcanic ash monitoring system Research/Improvement of passive microwave ice concentrations and extent products. –In-Situ Observations and Validation Increase sea ice thickness observations at required spatial and temporal scales Effect of melting season on passive and active algorithms and analysis vs. actual observations. Validation of new products (ex., the Debris Estimated Likelihood Index) Get more in situ data! –Development of improved sea ice forecast models to support navigation as well as weather and climate. 3

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Summary of C&T New Techniques and Technologies Improve the spatial resolution of the altimetry maps by "retracking" the radar returns from the sea surface. Test what new resolution may be obtained by the next-generation altimeters. Exploit multi-sensor and multi-satellite SAR data, including X-band SAR imagery. Pursue research and development of operational products from international scatterometer missions. Implement and Experimental Microburst Windspeed Potential Index (MWPI) for GOES-R. Development a downburst potential nowcasting technique that employs Rapid Update Cycle (RUC) model data and radar reflectivity imagery. Refine the Principal Component GOES Imagery analysis for volcanic ash detection. Develop a fog/low cloud component of the ABI visibility algorithm. Develop an operational version of TCNNA oil spill mapping tool, and train with all available SAR data types. Refine the DELI approach that shows likelihood of encountering debris based on satellite ocean color and sea surface temperature measurements. Improve surface solar radiation retrieval from GOES over snow. Investigate the use of new technologies such as UAS, EMI, etc. Future Directions, Challenges, and Opportunities - I

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 C&T Research to Operations Activities Development, testing, demonstration, feedback, and transitioning new STAR products from research to operations is done in coordination or trough channels such as the SPSRB and algorithm teams. MWPI to be provided to National Weather Service (NWS), Dept. of Defense (DOD), and private sector meteorologists The AVHRR component of the volcanic ash system is scheduled to be fully transitioned into NESDIS operations by May/June 2010 Real time access to the GOES volcanic ash product will be provided to users for feedback into initial operations in Alaska. The Canadian Ice Service interactive oil spill analysis system will be implemented in NESDIS operations. The oil spill mapping tool, SAR wind speed measurements, and vessel detection products will be integrated into the oil spill analysis system. Continue use of Internet, Google, etc. for dissemination to the public and end users. Support the development of navigation products as ENC/DNC chart overlays. Work with partners, users, and stakeholders on requirements for products and future missions sensors. Engage in field campaigns; Science and Cal/Val opportunities. Should always strive to communicate satellite uses and limitations. 5 Future Directions, Challenges, and Opportunities - II

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Future Directions, Challenges, and Opportunities - III High priority missions, observing systems and technologies –NOAA Missions GOES-R – Imager & Sounder NPP/JPSS (Joint Polar Satellite System, formerly NPOESS) – VIS, IR, and MW RAD –International Missions (Access to International Operational Data is Required) OceanSat-2 – Ku-band SCAT HY-2 – Ku-band SCAT, Ku & C-band ALT, MW RAD GCOM-W – MW RAD, Ku-band SCAT CryoSat-2 – Ku-band ALT AltiKa – Ka-band ALT RISAT – C-band SAR Sentinel-1 - C-band SAR RCM - C-band SAR –Decadal Survey Missions ICESat-II – Laser ALT DesDynI – L-band InSAR & Laser ALT SWOT – Ka and C-band ALT

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 New NOAA Arctic Priority –New NOAA Arctic Action Plan –State of the Arctic Conference –NOAA Sea Ice Forecasting Workshop –STAR presence at NIC Canadian Collaborations (NAIS, PCW) International Collaborations (IABP, IICWG) Opening routes and energy development Need for increased and improved ocean and marine weather observations and forecast! Socio-Economic/Human Dimensions Understanding the human dimensions (social, cultural, and economic) of impacts of “ disasters” and response activities [Identified by NOAA as a high priority for research] –CoastWatch – operational surface winds, waves, spills, ship detection, flooding, and coast line change monitoring –Protection of People & the Environment, and Decision Support »SAR (Synthetic Aperture Radar) and SAR (Search and Rescue) C&T External Engagement & Partnerships –Cross-NOAA collaborations (NWS, OAR, NOS, NMFS) –Academic (JHU/APL, UW, U Col., UAF, UDEL, FSU, UCAR) –Inter-Agency collaborations (Navy, NGA, CRREL, NASA, NSF, USCG, DOE) –International Collaboration / Initiatives (ESA, CSA JAXA, NAIS, IICWG, WMO, ISRO) Future Directions, Challenges, and Opportunities - IV