Cooperative Research Program Ingrid Guch CoRP Symposium August 2006.

Slides:



Advertisements
Similar presentations
Chapter 13 Weather Forecasting.
Advertisements

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.
SNPP VIIRS green vegetation fraction products and application in numerical weather prediction Zhangyan Jiang 1,2, Weizhong Zheng 3,4, Junchang Ju 1,2,
Future Plans  Refine Machine Learning:  Investigate optimal pressure level to use as input  Investigate use of neural network  Add additional input.
Future Plans  Refine Machine Learning:  Investigate optimal pressure level to use as input  Investigate use of neural network  Add additional input.
The Utility of GOES-R and LEO Soundings for Hurricane Data Assimilation and Forecasting Jun Timothy J. Schmit #, Hui Liu &, Jinlong and Jing.
The Global Precipitation Climatology Project – Accomplishments and future outlook Arnold Gruber Director of the GPCP NOAA NESDIS IPWG September 2002,
A short term rainfall prediction algorithm Nazario D. Ramirez and Joan Manuel Castro University of Puerto Rico NOAA Collaborator: Robert J. Kuligowski.
1 GOES Users’ Conference October 1, 2002 GOES Users’ Conference October 1, 2002 John (Jack) J. Kelly, Jr. National Weather Service Infusion of Satellite.
Transitioning research data to the operational weather community Use of VIIRS DNB Data to Monitor Power Outages and Restoration for Significant Weather.
Review of Northern Winter 2010/11
CORP Symposium Fort Collins, CO August 16, 2006 Session 3: NPOESS AND GOES-R Applications Tropical Cyclone Applications Ray Zehr, NESDIS / RAMM.
Tianfeng Chai 1,2, Alice Crawford 1,2, Barbara Stunder 1, Roland Draxler 1, Michael J. Pavolonis 3, Ariel Stein 1 1.NOAA Air Resources Laboratory, College.
Chapter 2: Satellite Tools for Air Quality Analysis 10:30 – 11:15.
Weather Satellite Data in FAA Operations Randy Bass Aviation Weather Research Program Aviation Weather Division NextGen Organization Federal Aviation Administration.
Coastal Meteorology and Atmospheric Prediction (COMAP) Research at Stony Brook University Michael Erickson, Brian A. Colle, Sara Ganetis, Nathan Korfe,
1 NOAA’s Environmental Modeling Plan Stephen Lord Ants Leetmaa November 2004.
1 Tropical cyclone (TC) trajectory and storm precipitation forecast improvement using SFOV AIRS soundings Jun Tim Schmit &, Hui Liu #, Jinlong Li.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Science Support for NASA-NOAA Research to Operations (R2O) and GPM Ralph.
UNCLASSIFIED Navy Applications of GOES-R Richard Crout, PhD Naval Meteorology and Oceanography Command Satellite Programs Presented to 3rd GOES-R Conference.
The Satellite Analysis Branch Hazard Mitigation Programs Satellite Analysis Branch 6 th GOES Users’ Conference November 2-5, 2009 Jamie Kibler
STATISTICAL ANALYSIS OF ORGANIZED CLOUD CLUSTERS ON WESTERN NORTH PACIFIC AND THEIR WARM CORE STRUCTURE KOTARO BESSHO* 1 Tetsuo Nakazawa 1 Shuji Nishimura.
Current status of AMSR-E data utilization in JMA/NWP Masahiro KAZUMORI Numerical Prediction Division Japan Meteorological Agency July 2008 Joint.
A Comparison of the Northern American Regional Reanalysis (NARR) to an Ensemble of Analyses Including CFSR Wesley Ebisuzaki 1, Fedor Mesinger 2, Li Zhang.
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,
The GOES-R Algorithm Working Group (AWG) program requests a high quality of proxy data for algorithm developments, testing and assessments. The central.
GOES-R ABI New Product Development Donald W. Hillger NOAA/NESDIS, SaTellite Applications and Research (STAR) Regional And Mesoscale Meteorology Branch.
08/20031 Volcanic Ash Detection and Prediction at the Met Office Helen Champion, Sarah Watkin Derrick Ryall Responsibilities Tools Etna 2002 Future.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Climatology of Hurricane.
The National Hurricane Center and Geostationary Sounders: Needs and Issues NATIONAL HURRICANE CENTER Jack Beven WHERE AMERICA’S CLIMATE AND WEATHER SERVICES.
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.
Weather Forecasting Chapter 9 Dr. Craig Clements SJSU Met 10.
Page 1© Crown copyright 2006 Matt Huddleston With thanks to: Frederic Vitart (ECMWF), Ruth McDonald & Met Office Seasonal forecasting team 14 th March.
The Satellite Analysis Branch Hazard Mitigation Programs – Using Real Time GOES Imagery For Today and Tomorrow The Satellite Analysis Branch Hazard Mitigation.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Improving Hurricane Intensity.
National Polar-orbiting Operational Satellite System (NPOESS) Microwave Imager/Sounder (MIS) Capabilities Pacific METSAT Working Group Apr 09 Rebecca Hamilton,
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Infrared Temperature and.
ISCCP at 30, April 2013 Backup Slides. ISCCP at 30, April 2013 NVAP-M Climate Monthly Average TPW Animation Less data before 1993.
1 Using water vapor measurements from hyperspectral advanced IR sounder (AIRS) for tropical cyclone forecast Jun Hui Liu #, Jinlong and Tim.
Thomas R. Karl Director, National Climatic Data Center, NOAA Editor, Journal of Climate, Climatic Change & IPCC Climate Monitoring Panel Paul D. Try, Moderator.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 The Influences of Changes.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 STAR Science Support Science Support for VISIT and SHyMet Training Mark.
AMSU Product Research Cooperative Institute for Research in the Atmosphere Research Benefits to NOAA: __________________ __________________________________________.
High impact weather studies with advanced IR sounder data Jun Li Cooperative Institute for Meteorological Satellite Studies (CIMSS),
DIRECT READOUT APPLICATIONS USING ATOVS ANTHONY L. REALE NOAA/NESDIS OFFICE OF RESEARCH AND APPLICATIONS.
Doppler Lidar Winds & Tropical Cyclones Frank D. Marks AOML/Hurricane Research Division 7 February 2007.
SeaWiFS Views Equatorial Pacific Waves Gene Feldman NASA Goddard Space Flight Center, Lab. For Hydrospheric Processes, This.
Geostationary Operational Environmental Satellite R- Series GOES-R Proving Ground High Latitude and Arctic Test Bed Dr. Frank P Kelly Director Alaska Region.
Overview of CIRA and NESDIS Global TC Services Presented by John Knaff NOAA/NESDIS Regional and Mesoscale Meteorology Branch Fort Collins, CO USA For The.
High impact weather nowcasting and short-range forecasting using advanced IR soundings Jun Li Cooperative Institute for Meteorological.
J. P. Kossin, 62 nd IHC, Charleston, SC An Objective Tool for Identifying Hurricane Secondary Eyewall Formation Jim Kossin and Matt Sitkowski Cooperative.
CIOSS Working Groups Meeting Corvallis, Oregon September 8-9, 2005.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Combining GOES Observations with Other Data to Improve Severe Weather Forecasts.
ESSL Holland, CCSM Workshop 0606 Predicting the Earth System Across Scales: Both Ways Summary:Rationale Approach and Current Focus Improved Simulation.
“CMORPH” is a method that creates spatially & temporally complete information using existing precipitation products that are derived from passive microwave.
Report by Japan Meteorological Agency (JMA)
LONG RANGE FORECAST SW MONSOON
LONG RANGE FORECAST SW MONSOON
Jianyu Liang (York U.) Yongsheng Chen (York U.) Zhiquan Liu (NCAR)
The GOES-R Proving Ground
Current Satellites, Products, and Activities
LONG RANGE FORECAST SW MONSOON
USING GOES-R TO HELP MONITOR UPPER LEVEL SO2
GOES-R Risk Reduction Research on Satellite-Derived Overshooting Tops
Shuyi S. Chen, Ben Barr, Milan Curcic and Brandon Kerns
Shuhua Li and Andrew W. Robertson
Caribbean Institute for Meteorology and Hydrology
Long Range Forecast Transient Intercomparison Project (LRFTIP-A)
MODIS Polar Winds Forecast Impact (3DVAR) Northern Hemisphere
Presentation transcript:

Cooperative Research Program Ingrid Guch CoRP Symposium August 2006

NOAA’s Center for Satellite Applications and Research (STAR) has teamed with academic partners across the country via four Cooperative Institutes and one Cooperative Center. Colorado State University University of Wisconsin Oregon State University University of Maryland CREST – consortium of universities managed by CUNY Three branches of STAR are in the Cooperative Research Program and collocated with a Cooperative Institute The Regional and Mesoscale Meteorology Branch at CIRA/CSU The Advanced Satellite Products Branch at CIMSS/UW The Satellite Climate Studies Branch at CICS/UM NOAA/NESDIS Cooperative Research Program

Desired Research Results for 2025 Dramatic Improvements in Forecasting Extreme Events Highly Skillful Seasonal to Decadal Climate Predictions Improved Understanding of Physical, Chemical, Biological, and Societal Interactions National Suite of Air Quality Services Ocean Exploration for Humankind

Global Earth Observation System of Systems

MODIS Polar Winds in NCEP GFS NCEP began using the MODIS polar winds product in the Global Forecast System (GFS) on November 29, Six other numerical weather prediction centers currently use the MODIS winds in operational forecast system: the ECMWF, NASA GMAO, the Japan Meteorological Agency (JMA), the Canadian Meteorological Centre (CMC), U.S. Navy FNMOC, and the UK Met Office.

Improving Volcanic Cloud Warnings From the 1544 UTC VAAC message: “REMARKS: WE HAVE RECEIVED A REPORT FROM NAVY AVIATION IN THE AREA INDICATING AN ERUPTION OF SANTA ANA TO FL460. THE ERUPTION CANNOT BE SEEN IN THE 1515Z IMAGE POSSBILY BECAUSE OF WEATHER CLOUDS IN THE AREA. MODEL DATA SUGGESTS ANY ASH NEAR FL460 WILL MOVE TOWARD THE WEST ” From the 1601 UTC VAAC message: “REMARKS: THE ERUPTION IS NOW BELIEVED TO HAVE STARTED AT ABOUT 1400Z AND AN AREA PREVIOUSLY THOUGHT TO BE THUNDERSTORMS IS NOW IDENTIFIED AS THICK ASH. A FORECAST WILL BE ISSUED AS SOON AS POSSIBLE” The automated Pavolonis et al. technique (JTECH) would have identified the Santa Ana ash cloud in the 1445 UTC image (one of the first images capturing the eruption). This product would have likely helped the Washington Volcanic Ash Advisory Center (VAAC) issue a more timely warning statement. IR imageAsh product

SSMI Climate Time Series Monthly mean products derived from SSM/I since July 1987: –Precipitation rate and frequency –Snow cover frequency –Sea-ice concentration –Oceanic total precipitable water –Oceanic cloud liquid water and frequency –Ocean surface wind speed Products are archived at NCDC Used by NCEP/CPC, JMA, GEWEX/GPCP Warm Phase Cold Phase Neutral Phase

Chesapeake Bay Ecosystem Modeling Initiate development of fully integrated ecosystem model of Chesapeake Bay –Implement Regional Ocean Modeling System for bay –Implement NCEP Weather Research & Forecast (wRF) Modeling System for Bay Chair IOCCG Working Group to finalize “Why Ocean Color?” Report Upcoming Events –AGU Ocean Sciences Meeting, Honolulu, HI February 20 – 24, 2006 SeaWiFS true-color image of Mid-Atlantic Region from April 12, Image provided by the SeaWiFS Project, NASA/Goddard Space Flight Center and ORBIMAGE

Global Precipitation Climatology Project GPCP is a project that is part of the WCRP/GEWEX program –Comprises of various “centers”, several of which are NOAA/Climate Program supported Current product suite (1979 – present) –Monthly mean 2.5°x2.5° latitude/longitude –Merged satellite and gauge, error estimates –Satellite components: microwave and infrared estimates, error estimates –Gauge analysis, error estimates –Intermediate analysis products, e.g., merged satellite estimates –Daily 1 x 1 degree, Pentad

RAMM / CIRA TROPICAL CYCLONE IR ARCHIVE -- IR images, 640 x 480 with 4 km resolution in Mercator projection -- began in 1998 with goal of documenting entire hurricane life cycles at 30-min interval -- all Atlantic hurricanes since 1995, all named storms since all eastern Pacific named storms since automated, global coverage since late 2004, with 2 complete SH seasons -- as of 15 March 2006: 464 tropical cyclones 125,000+ images APPLICATIONS: - improvements to the Statistical Hurricane Intensity Prediction Scheme (SHIPS) - inner core wind algorithm for the CIRA/RAMM tropical cyclone satellite surface wind analysis - objective wind radii estimates - long period animations and TC comparison studies - center relative average images - development on improved Objective Dvorak Technique intensity estimates < Atlantic hurricanes 4-km X 2 zoom 4-km: NWPac, EPac, > SPac, NIO, SIO

GOES-R ABI Product Development New product development for GOES-R Risk Reduction Initial focus on fog/stratus and dust detection products Thee-color techniques Utilizing MODIS and MSG data Web-based demonstration planned Quasi-operational forum Thee-Color Product Name Red component Green component Blue component MSG “natural” color product 1.6 µm0.86 µm0.6 µm MSG “day snow- fog” product 0.8 µm*1.6 µm*3.9 µm (solar/reflected part only)* Modified thee- color fog/stratus product 0.6 µm albedo1.6 µm albedoShortwave (3.9 µm) albedo

Expected Data Growth