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EUMETSAT’s Contribution to COPS Marianne König

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Presentation on theme: "EUMETSAT’s Contribution to COPS Marianne König"— Presentation transcript:

1 EUMETSAT’s Contribution to COPS Marianne König marianne.koenig@eumetsat.int

2 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 www.eumetsat.int)

3 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

4 SEVIRI: Some “Technical” Details nFull disk scan every 15 minutes nImage size: 3712 x 3712 pixels (5568 x 11136 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)

5 SEVIRI: Some “Technical” Details

6 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 ….

7 Example for Atmospheric Motion Vectors / Divergence

8 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

9 Example for Atmospheric Instability Information (2)

10 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

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

12 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

13 The Metop Satellite

14 The primary mission objective is the provision of temperature and humidity profiles with improved accuracy and vertical resolution (1K and 10% @ 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

15 IASI – Spectral Coverage

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

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

18 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

19 Retrieval Simulation (Arctic Atmosphere)

20 EUMETSAT Data Access: Registration necessary Contact ops@eumetsat.int Thank you


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