EUMETSAT’s Contribution to COPS Marianne König

Slides:



Advertisements
Similar presentations
EUMETSAT Contribution to Global Ozone Monitoring Rosemary Munro Dieter Klaes.
Advertisements

SAFNWC/GEO package: An overview
A New A-Train Collocated Product : MODIS and OMI cloud data on the OMI footprint Brad Fisher 1, Joanna Joiner 2, Alexander Vasilkov 1, Pepijn Veefkind.
Presenting NWCSAF products, activities by EUMeTrain Mária Putsay and Andreas Wirth Hungarian Meteorological Service ZAMG NWC SAF 2015 Users’ Workshop
Review of Remote Sensing Fundaments IV Infrared at High Spectral Resolution – Basic Principal & Limitations Allen Huang Cooperative Institute for Meteorological.
© Crown copyright Met Office Instrumentation planned for MetOp-SG Bill Bell Satellite Radiance Assimilation Group Met Office.
ATS 351 Lecture 8 Satellites
Slide: 15th COPS Wokshop, Stuttgart, 26 – 28 March 2007 EUMETSAT Contributions to COPS Volker Gärtner Marianne König
Polar Atmospheric Composition: Some Measurements and Products A Report on Action item STG3-A11 Jeff Key NOAA/NESDIS.
Cloud Top Height Retrieval From MIPAS Jane Hurley, Anu Dudhia, Graham Ewen, Don Grainger Atmospheric, Oceanic and Planetary Physics, University of Oxford.
MUG 2010 EUMETSAT NEWS Marianne König
Cooperative Institute for Meteorological Satellite Studies University of Wisconsin - Madison Steve Ackerman Director, Cooperative Institute for Meteorological.
Geostationary Imaging Fourier Transform Spectrometer An Update of the GIFTS Program Geostationary Imaging Fourier Transform Spectrometer An Update of the.
Satellite basics Estelle de Coning South African Weather Service
Diagnosing Climate Change from Satellite Sounding Measurements – From Filter Radiometers to Spectrometers William L. Smith Sr 1,2., Elisabeth Weisz 1,
1 Satellite data assimilation for air quality forecast 10/10/2006.
EUMETSAT METEOROLOGICAL SATELLITE CONFERENCE 15/09/2013 – 20/09/2013, VIENNA EUMETSAT METEOROLOGICAL SATELLITE CONFERENCE 15/09/2013 – 20/09/2013, VIENNA.
1 EUMETSAT SAF NETWORK Lothar Schüller, EUMETSAT SAF Network Manager.
AIRS (Atmospheric Infrared Sounder) Instrument Characteristics.
Lessons on Satellite Meteorology Part VII: Metop Introduction to Metop Instruments The sounders with focus on IASI The GRAS instrument The ASCAT scatterometer.
Slide: 1EUM/MET/VWG/09/135 5 th World Water Forum, Istanbul, Turkey, 21 March 2009 EUMETSAT Monitoring weather and climate from space Dr. Dieter Klaes,
Régis Borde Polar Winds EUMETRAIN Polar satellite week 2012 Régis Borde
CrIS Use or disclosure of data contained on this sheet is subject to NPOESS Program restrictions. ITT INDUSTRIES AER BOMEM BALL DRS EDR Algorithms for.
1 GOES-R AWG Product Validation Tool Development Aviation Application Team – Volcanic Ash Mike Pavolonis (STAR)
1 GOES-R AWG Product Validation Tool Development Aviation Application Team – Volcanic Ash Mike Pavolonis (STAR)
GIST RMIB, Brussels; 8-10 November 2004 Page 1 Plans for EUMETSAT’s Third Generation Meteosat (MTG) Geostationary Satellite Program G. Fowler and.
USING OF METEOSAT SECOND GENERATION HIGH RESOLUTION VISIBLE DATA FOR THE IMPOVEMENT OF THE RAPID DEVELOPPING THUNDERSTORM PRODUCT Oleksiy Kryvobok Ukrainian.
Overview of the “Geostationary Earth Radiation Budget (GERB)” Experience. Nicolas Clerbaux Royal Meteorological Institute of Belgium (RMIB) In collaboration.
Aristeidis K. Georgoulias Konstantinos Kourtidis Konstantinos Konstantinidis AMFIC Web Data Base AMFIC Annual Meeting - Beijing October 2008 Democritus.
COST 723 Training School - Cargese October 2005 OBS 3 Radiative transfer for thermal radiation. Instruments Bruno Carli.
The WMO Space Programme
POLAR MULTI-SENSOR AEROSOL PROPERTIES OVER LAND Michael Grzegorski, Rosemary Munro, Gabriele Poli, Andriy Holdak and Ruediger Lang.
1 Using water vapor measurements from hyperspectral advanced IR sounder (AIRS) for tropical cyclone forecast Jun Hui Liu #, Jinlong and Tim.
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.
EUMETSAT Geostationary Programmes
Lessons on Satellite Meteorology Part I : General Introduction Short history Geo versus polar satellite Visible images Infrared images Water vapour images.
The Rapid Developing Thunderstorm (RDT) product CDOP to CDOP2
High impact weather studies with advanced IR sounder data Jun Li Cooperative Institute for Meteorological Satellite Studies (CIMSS),
R. T. Pinker, H. Wang, R. Hollmann, and H. Gadhavi Department of Atmospheric and Oceanic Science, University of Maryland, College Park, Maryland Use of.
RMIB involvement in the Geostationary Earth Radiation Budget (GERB) and Climate Monitoring SAF projects Nicolas Clerbaux Remote sensing from Space Division.
Studies of Advanced Baseline Sounder (ABS) for Future GOES Jun Li + Timothy J. Allen Huang+ W. +CIMSS, UW-Madison.
Satellite based instability indices for very short range forecasting of convection Estelle de Coning South African Weather Service Contributions from Marianne.
Rutherford Appleton Laboratory Requirements Consolidation of the Near-Infrared Channel of the GMES-Sentinel-5 UVNS Instrument: Task 1: Initial trade-off:
Introduction GOES-R ABI will be the first GOES imaging instrument providing observations in both the visible and the near infrared spectral bands. Therefore.
ISCCP SO FAR (at 30) GOALS ►Facilitate "climate" research ►Determine cloud effects on radiation exchanges ►Determine cloud role in global water cycle ▬
IPWG, 4 th Workshop, Beijing, October UPDATE ON THE STATUS OF PRECIPITATION PRODUCTS IN THE EUMETSAT SATELLITE APPLICATION FACILITY ON HYDROLOGY.
METEOSAT SECOND GENERATION FROM FIRST TO SECOND GENERATION METEOSAT
Meteorological dissemination HRI A and B Format.
Early Results from AIRS and Risk Reduction Benefits for other Advanced Infrared Sounders Mitchell D. Goldberg NOAA/NESDIS Center for Satellite Applications.
GRAS-SAF User Workshop June The H umidity C omposite P roduct of the CM-SAF Helga Nitsche Deutscher Wetterdienst, D Offenbach Content: The.
Visible optical depth,  Optically thicker clouds correlate with colder tops Ship tracks Note, retrievals done on cloudy pixels which are spatially uniform.
US-Europe Data Exchange Meeting May Page 1 EUMETSAT Status Report Simon Elliott EUMETSAT Operations Department
Retrieval of cloud parameters from the new sensor generation satellite multispectral measurement F. ROMANO and V. CUOMO ITSC-XII Lorne, Victoria, Australia.
Interactions: atmosphere EG2234 Earth Observation.
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.
Geostationary surface albedo retrieval error estimation Y. Govaerts (1) and A. Lattanzio (2) (1) EUMETSAT, Germany (2) Makalumedia, Germany 2nd CEOS/WGCV/Land.
Data Distribution/dissemination Method
Methane Retrievals in the Thermal Infrared from IASI AGU Fall Meeting, 14 th -18 th December, San Francisco, USA. Diane.
12 th International Winds Workshop Copenhagen, June 2014 Manuel Carranza Régis Borde Marie Doutriaux-Boucher Recent Changes in the Derivation of.
Updates on CMA Meteorological Satellite Programs
GSICS Web Meeting, 17 November 2011
China’s FengYun Meteorological Satellite Programs
Meteosat Third Generation (MTG)
Winds in the Polar Regions from MODIS: Atmospheric Considerations
Geostationary Sounders
NPOESS Airborne Sounder Testbed (NAST)
Monitoring weather and climate from space
Early calibration results of FY-4A/GIIRS during in-orbit testing
Presentation transcript:

EUMETSAT’s Contribution to COPS Marianne König

EUMETSAT’s Satellite Programmes in 2007 nGeostationary Satellite Programme nMeteosat Second Generation (Meteosat-8 or -9) nTwo satellites already in orbit, one is operational nImaging instruments SEVIRI (and GERB) nSuite of meteorological parameters routinely extracted nPolar Satellite Programme nEuropean contribution to the Joint Polar System (EPS) (09:30 orbit) nImagers, sounders (IR, MW, RO), scatterometer, chemistry nLatest confirmed launch date for Metop-A: 17 July 2006 nDissemination: nReal-time via EUMETCast nArchive retrieval (online from

SEVIRI: 12 Channel Instrument - Overview 0.6  m0.8  m1.6  m HRVIS 3.9  m6.2  m7.3  m8.7  m 9.7  m10.8  m12.0  m13.4  m

SEVIRI: Some “Technical” Details nFull disk scan every 15 minutes nImage size: 3712 x 3712 pixels (5568 x for HRV) nResulting pixel sampling distance: 3 km at subsatellite point (1 km HRV) nPlanned scenario: One of the two MSG satellites will always be the operational satellite (15 min / full disk) while the other one is the hot stand-by. The stand-by satellite can be used for “rapid scans” (planned for 2008, but could be done for COPS upon written request to Director of Operations)

SEVIRI: Some “Technical” Details

SEVIRI: Meteorological Products of Interest nPixel Cloud Mask (cloud/no cloud flag + quality) nAtmospheric Motion Vectors and Divergence nAtmospheric Instability (pre-convective) nFurther Cloud Parameters: phase, effective radius, optical depth, cloud top pressure n ….

Example for Atmospheric Motion Vectors / Divergence

Example for Atmospheric Instability Information (1) Lifted Index: Temperature difference of air temperature at 500 hPa and temperature of air parcel lifted to 500 hPa

Example for Atmospheric Instability Information (2)

Additional Cloud Products Possible with SEVIRI Quantitative: An optimal estimation algorithm has been developed to derive parameters like r eff, optical depth, cloud phase, and cloud top pressure from the multispectral image data (VIS and IR) The example shows ship tracks in the South Atlantic (i.e. smaller cloud particles) in a colour combination of VIS0.8, IR3.9, IR10.8

Additional Cloud Products: Example of a Life Cycle of a Convective Cell of Moderate Strength LNB Tropopause

Some Remarks about the Meteorological Parameters nWithin the operational processing, the products are done on a certain spatial and temporal resolution (depending on user requirements, CPU constraints, …) nThe development team, however, can support COPS by reprocessing certain dates of interest on a finer scale (POC here: Marianne König) nThat would also support ongoing validation of the products

The Metop Satellite

The primary mission objective is the provision of temperature and humidity profiles with improved accuracy and vertical resolution (1K and 1 km vertical resolution, respectively) Further mission objectives are related to the measurement of trace gases (ozone, methane, carbon monoxide,...) as well as surface and cloud properties IASI is based on a Michelson interferometer. Selected spectral range: 3.6 to 15.5 µm (645 to 2760 cm-1) Spectral sampling: 0.25 cm-1 giving 8461 spectral samples IASI is nadir-viewing and across track scanning. 30 fields-of view along the scan line are sampled in 2  2 matrices of circular fields of view with a diameter of 12 km IASI Mission and Measurement Principles

IASI – Spectral Coverage

Instrument Field-of-Views IASI AMSU-A MHS HIRS/4 AVHRR/3

Mapping of AVHRR and IASI IFOV 12Km 18Km 12Km 18Km 50 Km

IASI Level 2 Products nFor a best use of IASI measurements the level 2 processing can combine IASI with concurrent measurements of AVHRR, AMSU-A, MHS, and ATOVS level 2 products nFinal level 2 products: nTemperature profile at a minimum of 40 levels nHumidity profile at a minimum of 20 levels nLand/Sea surface temperature nSurface emissivity at 12 spectral positions nOzone columns in 3 deep layers and total column nColumnar amounts of N 2 O, CO, CH 4, CO 2 nCloud amount (up to three cloud formations) nCloud top temperature (up to three cloud formations) nCloud phase nAvailability: via EUMETCast within 3h, via EUMETSAT Archive

Retrieval Simulation (Arctic Atmosphere)

EUMETSAT Data Access: Registration necessary Contact Thank you