CIMSS Overview Relation to SSEC and AOS Mission Statement Research themes in the CA Relation to ASPB.

Slides:



Advertisements
Similar presentations
ECMWF MetTraining Course- Data Assimilation and use of satellite data (3 May 2005) The Global Observing System Overview of data sources Data coverage Data.
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:
Characterization of ATMS Bias Using GPSRO Observations Lin Lin 1,2, Fuzhong Weng 2 and Xiaolei Zou 3 1 Earth Resources Technology, Inc.
1 GOES Users’ Conference October 1, 2002 GOES Users’ Conference October 1, 2002 John (Jack) J. Kelly, Jr. National Weather Service Infusion of Satellite.
GOES Cloud Products and Cloud Studies Height Techniques Introduction GOES Sounder Currently there are three techniques being used to generate cloud top.
Passive Microwave Rain Rate Remote Sensing Christopher D. Elvidge, Ph.D. NOAA-NESDIS National Geophysical Data Center E/GC2 325 Broadway, Boulder, Colorado.
ATS 351 Lecture 8 Satellites
Using Scatterometers and Radiometers to Estimate Ocean Wind Speeds and Latent Heat Flux Presented by: Brad Matichak April 30, 2008 Based on an article.
Xin Kong, Lizzie Noyes, Gary Corlett, John Remedios, Simon Good and David Llewellyn-Jones Earth Observation Science, Space Research Centre, University.
1 Cooperative Institute for Research in the Atmosphere CIRA Colorado State University An Overview Prepared by: Mary McInnis-Efaw Department Manager, CIRA.
Recent Progress on High Impact Weather Forecast with GOES ‐ R and Advanced IR Soundings Jun Li 1, Jinlong Li 1, Jing Zheng 1, Tim Schmit 2, and Hui Liu.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Wind and Solar Energy Estimation.
Motivation Many GOES products are not directly used in NWP but may help in diagnosing problems in forecasted fields. One example is the GOES cloud classification.
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 Image: MODIS Land Group, NASA GSFC March 2000 Long-Term Upper Air Temperature.
Applications and Limitations of Satellite Data Professor Ming-Dah Chou January 3, 2005 Department of Atmospheric Sciences National Taiwan University.
Retrieving Snowpack Properties From Land Surface Microwave Emissivities Based on Artificial Neural Network Techniques Narges Shahroudi William Rossow NOAA-CREST.
1 CIMSS Participation in the Development of a GOES-R Proving Ground Timothy J. Schmit NOAA/NESDIS/Satellite Applications and Research Advanced Satellite.
The National Hurricane Center and Geostationary Sounders: Needs and Issues NATIONAL HURRICANE CENTER Jack Beven WHERE AMERICA’S CLIMATE AND WEATHER SERVICES.
Advanced Baseline Imager (ABI) will be flown on the next generation of NOAA Geostationary Operational Environmental Satellite (GOES)-R platform. The sensor.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 POES Microwave Products Presented.
Mitch Goldberg National Oceanic & Atmospheric Administration | NOAA JPSS Program Scientist Ingrid Guch and Bill Sjoberg.
US BENEFITS. It Addresses Priorities The US and Canada have common scientific, economic and strategic interests in arctic observing: marine and air transportation.
Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:
Improvements of the Geostationary Operational Environmental Satellites (GOES)-R series for Climate Applications GOES-R data and products will support applications.
National Polar-orbiting Operational Satellite System (NPOESS) Microwave Imager/Sounder (MIS) Capabilities Pacific METSAT Working Group Apr 09 Rebecca Hamilton,
NOAA 101 Sarah Schoedinger NOAA, Office of Education November 2, 2006 An overview of the agency for the NOAA/NSTA Symposium on the Ocean’s Role in Weather.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Infrared Temperature and.
1 Using water vapor measurements from hyperspectral advanced IR sounder (AIRS) for tropical cyclone forecast Jun Hui Liu #, Jinlong and Tim.
USE OF AIRS/AMSU DATA FOR WEATHER AND CLIMATE RESEARCH Joel Susskind University of Maryland May 12, 2005.
Andrew Heidinger and Michael Pavolonis
Hyperspectral Infrared Alone Cloudy Sounding Algorithm Development Objective and Summary To prepare for the synergistic use of data from the high-temporal.
Evaluation of Passive Microwave Rainfall Estimates Using TRMM PR and Ground Measurements as References Xin Lin and Arthur Y. Hou NASA Goddard Space Flight.
Cloud Mask: Results, Frequency, Bit Mapping, and Validation UW Cloud Mask Working Group.
High impact weather studies with advanced IR sounder data Jun Li Cooperative Institute for Meteorological Satellite Studies (CIMSS),
Science of the Aqua Mission By: Michael Banta ESS 5 th class Ms. Jakubowyc December 7, 2006.
Layered Water Vapor Quick Guide by NASA / SPoRT and CIRA Why is the Layered Water Vapor Product important? Water vapor is essential for creating clouds,
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Applications of AMSU-Based Hydrological Products for Climate Studies Ralph.
Intercomparison of Polar Cloud Climatology: APP-x, ERA-40, Ground-based Observations Xuanji Wang Cooperative Institute for Meteorological Satellite Studies.
Early Results from AIRS and Risk Reduction Benefits for other Advanced Infrared Sounders Mitchell D. Goldberg NOAA/NESDIS Center for Satellite Applications.
Validation of Satellite-derived Clear-sky Atmospheric Temperature Inversions in the Arctic Yinghui Liu 1, Jeffrey R. Key 2, Axel Schweiger 3, Jennifer.
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.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Weather & Water Synthesis.
High impact weather nowcasting and short-range forecasting using advanced IR soundings Jun Li Cooperative Institute for Meteorological.
PRELIMINARY VALIDATION OF IAPP MOISTURE RETRIEVALS USING DOE ARM MEASUREMENTS Wayne Feltz, Thomas Achtor, Jun Li and Harold Woolf Cooperative Institute.
Shaima Nasiri University of Wisconsin-Madison Bryan Baum NASA - Langley Research Center Detection of Overlapping Clouds with MODIS: TX-2002 MODIS Atmospheres.
5th GOES Users’ Conference, New Orleans, January 2008 Geostationary satellites in a WMO perspective Jérôme Lafeuille WMO Space Programme World Meteorological.
Cooperative Institute for Meteorological Satellite Studies.
Microwave Assimilation in Tropical Cyclones
Yinghui Liu1, Jeff Key2, and Xuanji Wang1
Summer 2014 Group Meeting August 14, 2014 Scott Sieron
Surface Pressure Measurements from the NASA Orbiting Carbon Observatory-2 (OCO-2) Presented to CGMS-43 Working Group II, agenda item WGII/10 David Crisp.
Current Satellites, Products, and Activities
Cal/Val Activities at CIRA
Requirements for microwave inter-calibration
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.
Hyperspectral IR Clear/Cloudy
NPOESS Airborne Sounder Testbed (NAST)
Hyperspectral Wind Retrievals Dave Santek Chris Velden CIMSS Madison, Wisconsin 5th Workshop on Hyperspectral Science 8 June 2005.
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.
AVHRR operational cloud masks intercomparison
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.
Andrew Heidinger and Michael Pavolonis
Satellite Foundational Course for JPSS (SatFC-J)
Generation of Simulated GIFTS Datasets
ICWG and Link to Other CGMS Working Groups
Recent activities of the OSVW-VC
CIMSS Regional Assimilation System for
Presentation transcript:

CIMSS Overview Relation to SSEC and AOS Mission Statement Research themes in the CA Relation to ASPB

CIMSS/SSEC/AOS

CIMSS Mission Foster collaborative research among NOAA, NASA, and the University in those aspects of atmospheric and earth system science which exploit the use of satellite technology. Serve as a center at which scientists and engineers working on problems of mutual interest may focus on satellite related research in atmospheric studies and earth system science. Stimulate the training of scientists and engineers in the disciplines involved in the atmospheric and earth sciences.

CA Research Themes Weather Nowcasting and Forecasting Clouds and Radiation Global Hydrological Cycle Environmental Trends Climate

Weather and Forecasting

Corresponding NOAA/NESDIS CLAVR cloud fraction product derived from AVHRR data 16 Oct 2003 NOAA-16 AMSU- B 150 GHz 1 o gridded brightness temperature product (ascending passes only) Simulated 150 GHz brightness temperatures (gas + cloud water only) Prepare for the assimilation of observed radiance of current and future passive microwave satellite sensors in the framework of NCEP’s Global Data Assimilation System under cloudy and precipitating conditions. Clear sky 89 GHz comparison between Eddington model and NCEP’s operational absorption-only RT model (both models used OPTRAN & FASTEM as input) 15 Oct 2003 Simulated 150 GHz brightness temperatures including gas, cloud water and precipitation Clouds and Radiation

Global Hydrological Cycle

Environmental Trends

N11 and N14 show gradual increase of cloud detection in tropics in part due to orbit drift from 14 to 18 LST N11N14

Winter 1998/99Summer 1999 Time (LST) Frequency of Occurrence Thin (0<ECA<50) Thick (50<ECA  95) Opaque (95<ECA  100) Central Plains includes 31N to 45N and 92W to 107W. High Cloud is defined as layer from 300 to 100 hPa Climate

MAS and SHIS data sets collected on the NASA ER-2 aircraft have been key for directly assessing MODIS L1B accuracy. MODIS spec. given by box, comparison is star symbol. Along Track Profile Campaigns include SAFARI-2000, TX-2001, TX-2002, and THORpex PTOST. Climate

CIMSS & NOAA Strategic Plan Protect, Restore and Manage Coastal and Ocean Resources (#1) Understanding Climate Variability and Change (#2) Needs for Weather and Water Information (#3) Support the Nation’s Commerce with Information (#4) Provide Organizational Excellence (#5).

Protect, Restore, Manage Coastal and Ocean Resources

Water motion and sediment transport vectors depict the fine scale transport processes in the sediment- rich Atchafalaya Bay region of Louisiana. Sediment is transported primarily by wind-driven currents and deposited either in coastal bays (shown here in weak post-frontal conditions), along shore, or offshore, depending on wind direction. Protect, Restore, Manage Coastal and Ocean Resources

Results show that the Arctic has warmed and become more cloudy in spring and summer, but has cooled and become less cloudy in winter. Climate Variability and Change

Weather and Water Information The TC program at CIMSS is a good example of how a successful research program can evolve, maintaining a vigorous research program. A chronology of CIMSS research on tropical cyclone, including student involvement.

Support Nation’s Comm. With Info Detection of volcanic plumes is important for air traffic safety. The GOES Sounder is capable of detecting some upper-level SO 2. Spatial resolution of the instrument is 10 km at the satellite sub-point.

Provide Organizational Excellence CIMSS provides NOAA with a strong link to the university research environment. The NOAA ASPB located at CIMSS provides continuous communication of issues important to NOAA.

Measures of Success …collaborative research among NOAA, NASA, and the University… Baum on site ITOVS, IMAPP algorithms AODT to TPC

Measures of Success …center at which scientists and engineers working on problems of mutual interest… Workshops International visitors

Measures of Success Publications

Measures of Success …training of scientists.. VISITView Undergraduates Education workshops

Graduate Former Students Working within NOAA (1988) Elaine Prins (now back with CIMSS) Daphne Zaras Yanni Qu Lan Ge Fred Wu Rhett Grauman Jason Dunion Nick Nalli Greg Gallina

High profile research programs High profile programs GOES – current and ABS/HES Biomass Burning, Winds, Sounding Retrieval Science and Applications Tropical Cyclones High-spectral resolution program (a/c, ground- based, satellite) Calibration and Validation Polar Satellites – AVHRR, TOVS, MODIS Clouds, Polar winds

Science What research areas are we growing? Processing of polar orbiter data Retrieval Science Center Microwave observations Data assimilation Air quality

Education and Outreach Graduate Undergraduate K-12 Professional Training Public outreach

Undergraduate Kris Karnauskas NWAS Met-Sat award

K-12

CIMSS 25 th Anniversary July 11-13; satellite meteorology symposium July NOAA CoRP Cal/Val Symposium

backup