Advanced Satellite Products Branch at the Cooperative Institute for Meteorological Satellite Studies (CIMSS) University of Wisconsin-Madison The Advanced.

Slides:



Advertisements
Similar presentations
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 A Cloud Object Based Volcanic.
Advertisements

A fast physical algorithm for hyperspectral sounding retrieval Zhenglong Li #, Jun Li #, Timothy J. and M. Paul Menzel # # Cooperative Institute.
Title: Applications of the AWG Cloud Height Algorithm (ACHA) Authors and AffiliationsAndrew Heidinger, NOAA/NESDIS/STAR Steve Wanzong, UW/CIMSS Topics:
Improved Automated Cloud Classification and Cloud Property Continuity Studies for the Visible/Infrared Imager/Radiometer Suite (VIIRS) Michael J. Pavolonis.
1 6th GOES Users' Conference, Madison, Wisconsin, Nov 3-5 WMO Activities and Plans for Geostationary and Highly Elliptical Orbit Satellites Jérôme Lafeuille.
Satellite based estimates of surface visibility for state haze rule implementation planning Air Quality Applied Sciences Team 6th Semi-Annual Meeting (Jan.
The Utility of GOES-R and LEO Soundings for Hurricane Data Assimilation and Forecasting Jun Timothy J. Schmit #, Hui Liu &, Jinlong and Jing.
1 GOES Users’ Conference October 1, 2002 GOES Users’ Conference October 1, 2002 John (Jack) J. Kelly, Jr. National Weather Service Infusion of Satellite.
Improving Severe Weather Forecasting: Hyperspectral IR Data and Low-level Inversions Justin M. Sieglaff Cooperative Institute for Meteorological Satellite.
GOES-13 First Visible radiances Data from SSEC Data Center T. Schmit ASPB.
Geostationary Imaging Fourier Transform Spectrometer An Update of the GIFTS Program Geostationary Imaging Fourier Transform Spectrometer An Update of the.
Cirrus Cloud Boundaries from the Moisture Profile Q-6: HS Sounder Constituent Profiling Capabilities W. Smith 1,2, B. Pierce 3, and Z. Chen 2 1 University.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Commerce and Transportation.
1 CIMSS Participation in the Development of a GOES-R Proving Ground Timothy J. Schmit NOAA/NESDIS/Satellite Applications and Research Advanced Satellite.
Ingrid Guch Director, NESDIS/STAR Cooperative Research Program 1.
Thanks also to… Tom Wrublewski, NOAA Liaison Office Steve Kirkner, GOES Program Office Scott Bachmeier, CIMSS Ed Miller, NOAA Liaison Office Eric Chipman,
GIFTS - The Precursor Geostationary Satellite Component of a Future Earth Observing System GIFTS - The Precursor Geostationary Satellite Component of a.
Satellite-derived Sea Surface Temperatures Corey Farley Remote Sensing May 8, 2002.
1 CIMSS Participation GOES-R Proving Ground Status January 2011 UW-Madison Contributors to this presentation: Tim Schmit, Wayne Feltz, Jordan Gerth, Scott.
Advanced Baseline Imager (ABI) will be flown on the next generation of NOAA Geostationary Operational Environmental Satellite (GOES)-R platform. The sensor.
GOES–R Applications for the Assessment of Aviation Hazards Wayne Feltz, John Mecikalski, Mike Pavolonis, Kenneth Pryor, and Bill Smith 7. FOG AND LOW CLOUDS.
Systems Design and Applications Branch (SDAB) Hayden Menzel ( Prins) Key Advanced Satellite Products Branch (ASPB) Timothy J. Schmit validating and improving.
P1.85 DEVELOPMENT OF SIMULATED GOES PRODUCTS FOR GFS AND NAM Hui-Ya Chuang and Brad Ferrier Environmental Modeling Center, NCEP, Washington DC Introduction.
On the Use of Geostationary Satellites for Remote Sensing in the High Latitudes Yinghui Liu 1, Jeffrey R. Key 2, Xuanji Wang 1, Tim Schmit 2, and Jun Li.
Chapter 9: Weather Forecasting Surface weather maps 500mb weather maps Satellite Images Radar Images.
60 West – A Wisconsin Perspective Timothy J. Schmit Gary S. Wade NOAA/NESDIS/STAR Advanced Satellite Products Branch (ASPB) Madison, WI GOES-10:
Improvements of the Geostationary Operational Environmental Satellites (GOES)-R series for Climate Applications GOES-R data and products will support applications.
The GOES-10 Overview UW-Madison Tim Schmit and Gary Wade Research Satellite Meteorologist NOAA/NESDIS/ORA(STAR) Advanced Satellite Products Branch (ASPB)
Prediction of Tropical Cyclones Chapter 9. Tropical weather data from traditional sources (surface and radiosonde) is scarce, so remote sensing via other.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Infrared Temperature and.
Hyperspectral Infrared Alone Cloudy Sounding Algorithm Development Objective and Summary To prepare for the synergistic use of data from the high-temporal.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 The GOES-14 Science Test Timothy Schmit (GOVERNMENT PRINCIPAL INVESTIGATOR)
Jinlong Li 1, Jun Li 1, Timothy J. Schmit 2, Fang Wang 1, James J. Gurka 3, and W. Paul Menzel 2 1 Cooperative Institute for Meteorological Satellite Studies.
Jinlong Li 1, Jun Li 1, Christopher C. Schmidt 1, Timothy J. Schmit 2, and W. Paul Menzel 2 1 Cooperative Institute for Meteorological Satellite Studies.
High impact weather studies with advanced IR sounder data Jun Li Cooperative Institute for Meteorological Satellite Studies (CIMSS),
Atmospheric Research, Australia June 20042nd International Conference on Volcanic Ash and Aviation Safety Alexandria, VA. 1 Detection of upper level.
Hands-on exercise showcasing ABI’s 16 channels with improved spatial resolution and temporal refresh rate (plus Weighting Functions and RGB ABI examples)
1 Numerical Weather Prediction Subcommittee Chairs: Ralph Petersen/Mark DeMaria MEMBERS NESDIS/ORA: Bob Aune, Paul Menzel, Tim Schmit, Dan Tarpley NESDIS/OSD:
1 Recommendations from the 2 nd GOES-R Users’ Conference: Jim Gurka Tim Schmit NOAA/ NESDIS Dick Reynolds Short and Associates.
DIRECT READOUT APPLICATIONS USING ATOVS ANTHONY L. REALE NOAA/NESDIS OFFICE OF RESEARCH AND APPLICATIONS.
GOES Sounder Hyper-spectral Environmental Suite (HES) Data from the HES will revolutionize short-term weather forecasting Impact on short-term weather.
Earth Observing Satellites Update John Murray, NASA Langley Research Center NASA Aviation Weather Satellites Last Year NASA’s AURA satellite, the chemistry.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Weather and Water Theme Introduction.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Image: MODIS Land Group,
Satellite Data Assimilation Activities at CIMSS for FY2003 Robert M. Aune Advanced Satellite Products Team NOAA/NESDIS/ORA/ARAD Cooperative Institute for.
Preliminary results from the new AVHRR Pathfinder Atmospheres Extended (PATMOS-x) Data Set Andrew Heidinger a, Michael Pavolonis b and Mitch Goldberg a.
High impact weather nowcasting and short-range forecasting using advanced IR soundings Jun Li Cooperative Institute for Meteorological.
Radiance Simulation System for OSSE  Objectives  To evaluate the impact of observing system data under the context of numerical weather analysis and.
Cooperative Institute for Meteorological Satellite Studies.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 STAR Enterprise Synthesis.
Ocean Vector Winds Workshop
GOES-R Resources from NOAA, NASA & CIMSS
Are sounding profiles from geostationary satellites helping us yet?
Observing System Simulation Experiments at CIMSS
USING GOES-R TO HELP MONITOR UPPER LEVEL SO2
Cal/Val Activities at CIRA
Preparation for use of the GOES-R Advanced Baseline Imager (ABI)
Who We Are SSEC (Space Science and Engineering Center) is part of the Graduate School of the University of Wisconsin-Madison (UW). SSEC hosts CIMSS (Cooperative.
GOES-R Hyperspectral Environmental Suite (HES) Requirements
William Straka III and Christine Molling
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
Generation of Cloud Products from NOAA’s Operational Satellite Imagers
AIRS/GEO Infrared Intercalibration
Promoting New Satellite Applications Within the AWIPS Environment
Andrew Heidinger and Michael Pavolonis
CRAS Forecast Satellite Imagery Input to AWIPS
Satellite Wind Vectors from GOES Sounder Moisture Fields
Advanced Satellite Products Branch at the Cooperative Institute for Meteorological Satellite Studies (CIMSS) University of Wisconsin-Madison The Advanced.
Available for viewing at
A Local Real-time Mesoscale Prediction System for
Presentation transcript:

Advanced Satellite Products Branch at the Cooperative Institute for Meteorological Satellite Studies (CIMSS) University of Wisconsin-Madison The Advanced Satellite Products Branch (ASPB) develops products from environmental satellites for short-term weather forecasting and monitoring of the earth-atmosphere system. Research activities include the development of algorithms to estimate cloud properties, vertical profiles of temperature and moisture, atmospheric motion, and fire characteristics; the planning and specification of future advanced satellite systems and instrumentation; and the application of procedures to validate the calibration of measured radiances from current satellite sensors. The ASPB performs research on the quantitative use of satellite products in numerical weather prediction systems and assists in the implementation of these new techniques and products into the NESDIS operational product suite, including real-time product demonstrations. Jeff Brad Andy Mike Bob Tim Gary 2008 Bob Aune: satellite data assimilation; modeling. Andy Heidinger: remote sensing of clouds; radiative transfer. Jeff Key (Branch Chief): remote sensing of cloud and surface properties at high latitudes. Mike Pavolonis: remote sensing of clouds; volcanic ash; hyperspectral. Brad Pierce: air quality modeling and data assimilation. Tim Schmit: GOES-R, GOES calibration, temperature and moisture profile, clouds. Gary S. Wade: real-time GOES processing, Derived Product Images.