NOAA, May 2014 Coordination Group for Meteorological Satellites - CGMS NOAA Activities toward Transitioning Mature R&D Missions to an Operational Status 42 nd Coordination Group on Meteorological Satellites Working Group 3 1

NOAA, May 2014 Coordination Group for Meteorological Satellites - CGMS Global satellite observing system is key to assess and predict environmental impacts on society 2 NOAA Product and Services rely on Operational and Research Satellites in an operational environment

NOAA, May 2014 Coordination Group for Meteorological Satellites - CGMS Ongoing NOAA Efforts to Improve Forecast Capabilities Numerical Weather Prediction (NWP) priorities for the Global Observing System Operational: – Joint Polar Satellite System (JPSS) – Next-generation Geostationary Operational Satellite System (GOES-R) Research – Global Precipitation Mission (GPM) – Soil Moisture Active / Passive (SMAP) – Synthetic Aperture Radar (SAR) – Other missions Improving utilization of JPSS and GOES-R in combination with other data (if needed) through NESDIS Satellite Proving Ground efforts. – Proving ground activities include use of AMSR-2 data, use of EUMETSAT data, can include use of future Sentinel 3 data and other research satellites if those data improve the utilization of JPSS and GOES-R data. Development, assessments and implementation recommendations through Joint Center for Satellite Data Assimilation 3

NOAA, May 2014 Coordination Group for Meteorological Satellites - CGMS JPSS and GOES-R Satellite Proving Ground and Risk Reduction Proving Ground – Demonstration and utilization of data products by the end-user operational unit, such as a NWS Weather Forecast Office or Modeling Center. – Promotes outreach and coordination of new products with the end users, incorporating their feedback for product improvements Risk Reduction – Development of new research and applications to maximize the benefits of JPSS and GOES-R satellite data – Encourages fusion of data/information from multiple satellite (including research satellites), models and in-situ data 4

NOAA, May 2014 Coordination Group for Meteorological Satellites - CGMS U.S. Joint Center for Satellite Data Assimilation (JCSDA) 5 5 The JCSDA was established in 2001 to improve and accelerate the use of research and operational satellite data in numerical weather, ocean, and climate analysis and prediction. The goal of the JCSDA is to contribute to the forecast skill of the operational NWP systems of the JCSDA partners by assimilating the satellite observations in the most effective way

NOAA, May 2014 Coordination Group for Meteorological Satellites - CGMS JCSDA Research to Operations Activities Using Non-NOAA Satellites NASA's Aqua Advanced InfraRed Sounder (AIRS) – Radiances assimilated in the Global Forecast System (GFS) NASA's Terra/Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) – Polar Winds assimilated in the GFS NASA's GPM – JCSDA preparing to develop and test assimilation of GPM data via directed research, and possibly via external research NASA's SMAP – JCSDA preparing to develop and test assimilation of SMAP data via directed research, and possibly via external research GCOM-W/Advanced Microwave Scanning Radiometer (AMSR) 2 – JCSDA preparing to develop and test assimilation of GCOM-W data via directed research, and possibly via external research ESA's Atmospheric Dynamics Mission (ADM)/Aeolus (Doppler Wind Lidar) – JCSDA partners have conducted OSSEs; operations-parallel testing of ADM data when these are provided after launch 6

NOAA, May 2014 Coordination Group for Meteorological Satellites - CGMS GPM Use at NOAA - TPW GPM Satellite will be key contributor to this blended product Inter-calibrated radiances should help minimize the discontinuities currently seen when merging multiple data sources 7

NOAA, May 2014 Coordination Group for Meteorological Satellites - CGMS GPM Use at NOAA - CMORPH NCEP/Climate Prediction Center produces a blended satellite, 3-hourly global precipitation product – Based on all available microwave data and combined with a global infrared cloud product GPM data are critical to sustain and enhance this product and expand it to higher latitudes 8

NOAA, May 2014 Coordination Group for Meteorological Satellites - CGMS Priority Research Satellites: Soil Moisture Active Passive (SMAP) Active – High-resolution radar over land Passive High-resolution radiometer Instantaneous soil moisture – More direct, integrated soil moisture – Enhanced CMORPH for land forcing of NWP 9

NOAA, May 2014 Coordination Group for Meteorological Satellites - CGMS Synthetic Aperture Radar (SAR) High-resolution Coastal Winds Product 10 Superstructure Icing SAR-derived Wind Image – Alaska Peninsula 3/19/2013, 16:47 UT, RADARSAT-2. Original SAR image © MDA, Winds processed for the National Ice Center by NOAA/NESDIS

NOAA, May 2014 Coordination Group for Meteorological Satellites - CGMS Transition of ASCAT Ocean Surface Wind Products to Operations Declared operational by SPSRB in June 2008 Advanced scatterometer (ASCAT) flies on EUMETSAT’s MetOp satellites ASCAT surface wind products are produced at 25-km and 50-km resolution Products / Applications – Marine analysis and forecasting – Numerical Weather Prediction 11 STAR’s ocean scientists’ efforts have resulted in the generation and flow of operational ASCAT ocean surface wind products to the user community Available on AWIPS for NWS forecasters Positive impact on NCEP GFS forecast accuracy (Courtesy Jung et al; JCSDA)

NOAA, May 2014 Coordination Group for Meteorological Satellites - CGMS Challenges for Incorporating Future Research Satellite Data into Operations Fully exploiting potential operational value from increasing numbers and sophistication of new research satellite measurements entails tremendous opportunities and challenges. – Increased temporal, spectral and spatial resolution of next generation research satellite systems and sensors, and demonstration of their potential value for operational forecasting and decision support will raise expectations for R2O (opportunity). This requires planning and assessment of expected operational performance vs. resources available for operational infrastructure and associated costs (challenge). – Full exploitation of GPM and SMAP observations in operational NWP requires continued advancements in data assimilation (opportunity and challenge) – End users and supporters are more generally more appreciative to know that satellite investments enable more tailored and confident forecasts and decisions, than hearing about 5-day 500 millibar height anomaly correlations (messaging backed by results!) 12

NOAA, May 2014 Coordination Group for Meteorological Satellites - CGMS Summary Incorporating new research data into weather models and (ultimately) warnings and forecasts benefits society through: – Reduced loss of life and property – Improved understanding of short-term and long-term climate change – Contributions to better planning and decision making 13

NOAA, May 2014 Coordination Group for Meteorological Satellites - CGMS Thank you Any Questions? nd Coordination Group on Meteorological Satellites Working Group 3