NOAA GIFTS Demonstration Excerpted from GIFTS Product Assessment Plan P. Menzel May 2002.

Slides:



Advertisements
Similar presentations
1 6th GOES Users' Conference, Madison, Wisconsin, Nov 3-5 WMO Activities and Plans for Geostationary and Highly Elliptical Orbit Satellites Jérôme Lafeuille.
Advertisements

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.
Review of Remote Sensing Fundaments IV Infrared at High Spectral Resolution – Basic Principal & Limitations Allen Huang Cooperative Institute for Meteorological.
Bureau of Meteorology GOES-9 AMVs Generation and Assimilation Bureau of Meteorology GOES-9 AMVs Generation and Assimilation.
Sounders METR280 Satellite Meteorology/Climatology.
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.
Geostationary Imaging Fourier Transform Spectrometer An Update of the GIFTS Program Geostationary Imaging Fourier Transform Spectrometer An Update of the.
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.
Assimilation of GOES Hourly and Meteosat winds in the NCEP Global Forecast System (GFS) Assimilation of GOES Hourly and Meteosat winds in the NCEP Global.
Short Course on Satellite Meteorology 11 January 1998 Phoenix, Arizona Applications and Interpretation: Part 3 - Sounder Products and Applications Donald.
1 CIMSS Participation in the Development of a GOES-R Proving Ground Timothy J. Schmit NOAA/NESDIS/Satellite Applications and Research Advanced Satellite.
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 The Next Generation GOES Instruments: Status and Potential Impact Jim Gurka Team Lead: Geostationary Spacecraft Requirements NOAA/NESDIS/OSD.
SATELLITE METEOROLOGY BASICS satellite orbits EM spectrum
Introducing the Advanced Baseline Sounder (ABS) NOAA/NESDIS/ORA in collaboration with Cooperative Institute for Meteorological Satellite Studies Madison,
1 GOES-R AWG Product Validation Tool Development Aviation Application Team – Volcanic Ash Mike Pavolonis (STAR)
Advanced Baseline Imager (ABI) will be flown on the next generation of NOAA Geostationary Operational Environmental Satellite (GOES)-R platform. The sensor.
Planning for the Hyperspectral Environmental Sensor (HES) Current Sounders 2002 Preparations for the Future AIRS NOAA GIFTS Demonstration Planned Anticipated.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Nearcasting Severe Convection.
Applications - Nowcasting - Short-range weather forecasting - Longer-range numerical weather prediction GOES Sounders: Past and Present NESDIS/ORA/ASPT.
The Need for an Advanced Sounder on GOES The Numerical Weather Prediction Perspective Robert M. Aune Center for Satellite Applications and Research, NESDIS.
Improvements of the Geostationary Operational Environmental Satellites (GOES)-R series for Climate Applications GOES-R data and products will support applications.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Infrared Temperature and.
Advances in Geosynchronous Observations of the Earth and Atmosphere UW-Madison Paul Menzel NESDIS Center for Satellite Applications and Research With considerable.
Advanced Sounder Capabilities- Airborne Demonstration with NAST-I W.L. Smith, D.K. Zhou, and A.M. Larar NASA Langley Research Center, Hampton, Virginia.
Hyperspectral Infrared Alone Cloudy Sounding Algorithm Development Objective and Summary To prepare for the synergistic use of data from the high-temporal.
The Hyperspectral Environmental Suite (HES) UW-Madison Satellite Direct Readout Users Conference for the Americas 12 December 2002 Timothy J. Schmit NOAA/NESDIS/STAR.
AIRS Radiance and Geophysical Products: Methodology and Validation Mitch Goldberg, Larry McMillin NOAA/NESDIS Walter Wolf, Lihang Zhou, Yanni Qu and M.
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),
INFRARED-DERIVED ATMOSPHERIC PROPERTY VALIDATION W. Feltz, T. Schmit, J. Nelson, S. Wetzel-Seeman, J. Mecikalski and J. Hawkinson 3 rd Annual MURI Workshop.
Studies of Advanced Baseline Sounder (ABS) for Future GOES Jun Li + Timothy J. Allen Huang+ W. +CIMSS, UW-Madison.
Future GOES Satellite Product Upgrades Donald G. Gray Office of Systems Development NOAA/NESDIS, Washington, DC Satellite Direct Readout Users Conference.
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,
Early Results from AIRS and Risk Reduction Benefits for other Advanced Infrared Sounders Mitchell D. Goldberg NOAA/NESDIS Center for Satellite Applications.
DIRECT READOUT APPLICATIONS USING ATOVS ANTHONY L. REALE NOAA/NESDIS OFFICE OF RESEARCH AND APPLICATIONS.
Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 At the NOAA/NESDIS Office of Satellite Data Processing and Distribution.
1 Recommendations From the GOES Users’ Conference Jim Gurka Gerald Dittberner NOAA/NESDIS/OSD Advanced Systems Planning Division.
Geostationary Operational Environmental Satellite R- Series GOES-R Proving Ground High Latitude and Arctic Test Bed Dr. Frank P Kelly Director Alaska Region.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Nearcasting Severe Convection.
NOAA Plans for LEO & GEO The long and winding road from TOVS to NPOESS and ATS to ABS Paul Menzel NOAA/NESDIS/ORA TOVS, ATOVS, MODIS, AIRS, VIIRS, CrIMSS.
DETERMINATION OF WIND VECTORS BY TRACKING FEATURES ON SEQUENTIAL MOISTURE ANALYSES DERIVED FROM HYPERSPECTRAL IR SATELLITE SOUNDINGS Christopher Velden.
Satellite Data Assimilation Activities at CIMSS for FY2003 Robert M. Aune Advanced Satellite Products Team NOAA/NESDIS/ORA/ARAD Cooperative Institute for.
Towards Assimilation of GOES Hourly winds in the NCEP Global Forecast System (GFS) Xiujuan Su, Jaime Daniels, John Derber, Yangrong Lin, Andy Bailey, Wayne.
Matthew Lagor Remote Sensing Stability Indices and Derived Product Imagery from the GOES Sounder
High impact weather nowcasting and short-range forecasting using advanced IR soundings Jun Li Cooperative Institute for Meteorological.
GOES-R Sounder: Hyper-spectral Environmental Suite (HES) UW-Madison Timothy J. Schmit SaTellite Applications and Research (STAR) Advanced Satellite Products.
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.
Updates on CMA Meteorological Satellite Programs
IR High Spectral Resolution
Observing System Simulation Experiments at CIMSS
GOES visible (or “sun-lit”) image
NWS Forecast Office Assessment of GOES Sounder Atmospheric Instability
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
Geostationary Sounders
Timothy J. Schmit SaTellite Applications and Research (STAR)
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.
Planning for the Hyperspectral Environmental Sensor (HES)
METR280 Satellite Meteorology/Climatology
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 Simulated GIFTS Datasets
Front page of the realtime GOES-12 site, showing all of the latest Sounder spectral bands (18 infrared and 1 visible) over the central and Eastern US All.
Presentation transcript:

NOAA GIFTS Demonstration Excerpted from GIFTS Product Assessment Plan P. Menzel May 2002

The long and winding road from ATS to ABS: Evolving the Geosynchronous Observations of the Atmosphere ATS, SMS, VISSR, METEOSAT, VAS, GOES, GAP, GHIS, GIFTS, ABS Getting Ready for Anticipated Capabilities

establish ground reception site (Wallops with UW backup) establish seasonal suites of routine schedules for GIFTS distribute level 1b radiances in real time to NWP and research centers via ground com lines distribute derived product images to NWS FOs in virtual lab archive all level 1b data and some of the derived products test NWP assimilation approaches of radiances and winds study impact of GIFTS images and derived products on forecasting / nowcasting at NWS FOs establish ABS utilization approaches for day one NOAA GIFTS Demonstration goals are to

NESDIS/ORA to plan/conduct GIFTS science studies NESDIS/OSD to infuse GIFTS technology in ABS NESDIS OSDPD to help plan data distribution NESDIS Coop Insts to develop algorithms and derived products NWS NCEP to test GIFTS impact EMC for data assimilation SPC, AWC, TPC, HPC for derived products FOs for operational real time utilization NCDC for archive management NOAA GIFTS Demonstration will engage

NOAA GIFTS Demonstration plan includes * GIFTS Level 0 Data Acquisition primary ground system at Wallops backup at UW access to full data stream at UW * Data and Metadata Archive some raw data (for NMP team) initially all Level 0 data (for NOAA reprocessing to level 1 with improved algorithms) evolves to Level 1 archive of “golden year” at NCDC * Real Time Data Processing Level 0 to Level 1 using software with real time efficiency provided by NOAA Level 1 to 2+ using algorithms and software developed by largely at UW/CIMSS * Demonstration of Utility of GIFTS Data and Products and Distribution to End-Users participation in cal/val intercomparisons of radiances and products real time distribution of GIFTS radiances (compressed or subset) and winds to EMC for NWP impact studies real time web access by selected NWS FOs to multispectral and derived product images of atmospheric water vapor, stability, cloud properties, land surface temperatures,… research on SST, volcanic ash, ERB, trace gases spans winter storms in eastern Pacific (Feb, Mar), severe storms in Midwest (Apr, May, Jun, Jul), and hurricanes in Atlantic (Aug, Sep, Nov) runs 24 hours per day seven days a week amap during demonstration year * NWP impact & research continues with Australian BofM after drift to Indian Ocean

NOAA GIFTS Demonstration tasks are Data reception and processing (OSD/SSEC) Archive (NCDC/SSEC) Data Compression (OSD/ORA/CIMSS) Algorithm development (ORA/CIMSS) Data Assimilation (EMC/ORA/CIMSS) GIFTS ABS Synergy (OSD/ORA) Operational Validation (ORA/CIMSS with NASA) Data Assimilation (EMC/CIMSS) Data Transmission (OSD) Model Impact Tests (EMC/ORA/CIMSS) Nowcasting Development (NWS/CIMSS)

NOAA GIFTS Demonstration partners and activity areas are

Algorithm development will address GOES products soundings winds cloud properties land surface products ocean products earth radiation budget ozone / trace gases / volcanic ash Derived product images will include 3 layers of moisture and total column atmospheric stability cloud temperature and phase land surface temperature diurnal excursions

Java animation: anigli3m.html Evolution of stability seen in GOES LI DPI (12 to 18 UT)

Java animation: anisks3m.html Evolution of profiles retrieved from the GOES Sounder (12 to 18 UT)

View from ground View from space OK tornado 3 May CDT (2330 UTC) 1800 UTC 2300 UTC

GOES axis of high LI indicates subsequent storm track 24 Jul 2000

NWS Forecast Office Assessment of GOES Sounder Total Precipitable Water Summer 99 Forecaster assessment of usefulness of changes in hourly TPW product for precipitation forecast Out of 207 weather cases. - Significant Positive Impact (21.3%) - Slight Positive Impact (50.2%) - No Discernible Impact (27%) - Slight Negative Impact (1%) - Significant Negative Impact (<1%) Figure from the National Weather Service, Office of Services

High Density Winds associated with Hurricane Bonnie

Geo Interferometer creates new opportunities for improved AMVs: Simulated Hurricane Bonnie winds by tracking features in water vapor retrievals from high spectral resolution IR data

Evolving to more capable Geostationary Sounders (# of channels) VAS (experimental) GOES Sounder (operational) GIFTS (experimental) (12) (18) (~1600) Advanced Baseline Sounder (operational) time ABS is next step after GIFTS on path from low spectral resolution to high-spectral resolution operational sounders.

GOES Sounder Spectral Coverage Current sounder has 18 infrared bands; ABS will have more than 1600 Higher spectral resolution leads to improved vertical resolving power.

GIFTS and ABS’ use the shortwave side of the water vapor band.

The advanced sounder has more and sharper weighting functions UW/CIMSS These water vapor weighting functions reflect the radiance sensitivity of the specific channels to a water vapor % change at a specific level (equivalent to dR/dlnq scaled by dlnp). Moisture Weighting Functions Pressure Weighting Function Amplitude Wavenumber (cm-1)

ABS’ LW cm**-1

Current retrieval strategy: use all channels in a regression for first guess then use a sub-set of channels for physical retrieval

Simulation of Geo-Interferometer detection of low level inversion

ABS vs GOES retrieval for low level temperature inversion

Simulated retrieval of low level temperature inversion

Significant Findings from Geo-Interferometer OSSE Geo-Interferometer (Geo-I) sees into Boundary Layer (BL) providing low level (850 RH) moisture information; Geo- Radiometer (Geo-R) only offers information above BL (700 RH) OSSE 12 hr assimilation followed by 12 hr forecast

Possible Nominal Schedules for GIFTS Demo General Schedule Every hour4*GS (40 min), RS (20 min) Winter Pacific Storms Every hour3*GS (30 min), 3*RI (10 min), RS (20 min) Severe Spring Storms Every hour12*RI (40 min), RS (20 min) Atlantic Hurricanes Every hour3*GS (30 min), 3*RI (10 min), RS (20 min) RI - Regional Imaging over 6,000 km box (at 36 cm-1 res) GI - Global Imaging over 10,000 km box (at 36 cm-1 res) RS - Regional Sounding over 6,000 km box (at 0.6 cm-1 res) GS - Global Sounding over 10,000 km box (at 18 cm-1 res) center of coverage for regional scans adjusted for synoptic situation

* depicts water vapor as never before by identifying small scale features of moisture vertically and horizontally in the atmosphere * tracks atmospheric motions much better by discriminating more levels of motion and assigning heights more accurately * characterizes life cycle of clouds (cradle to grave) and distinguish between ice and water cloud ( which is very useful for aircraft routing) and identify cloud particle sizes (useful for radiative effects of clouds) * measures surface temperatures (land and sea) by accounting for emissivity effects (the improved SSTs would be useful for sea level altimetry applications) * distinguishes atmospheric constituents with improved certainty; these include volcanic ash (useful for aircraft routing), ozone, and possibly methane plus others trace gases. Expectations from the Geo-Interferometer