MSG Indian Ocean Data Coverage (IODC) Jochen Grandell & Sauli Joro
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1 MSG Indian Ocean Data Coverage (IODC) Jochen Grandell & Sauli Joro 1 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017
2 Topics Introduction MSG-IODC Overall Project Schedule Status Product validation Products examples and opportunities 2 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017
3 Indian Ocean Data Coverage (IODC) Introduction At its 78 th meeting, EUMETSAT Council endorsed the proposed strategy for long term continuation of IODC services. At CGMS 42 a roadmap was presented for the future provision of Indian Ocean Data Coverage (Services) after re-orbiting of Meteosat-7 in One potential component of the CGMS roadmap was the relocation of the Meteosat-8 Satellite to 41.5 E longitude, taking over the Meteosat-7 IODC service, assuming there were no major MSG anomalies that would affect the capability to provide 0 and RSS services. At its 85 th meeting (June 2016) Council approved the move of Meteosat-8 to 41.5 E, on the assumption that the Meteosat-8 IODC services will be provided on a best efforts basis 3 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017
4 Indian Ocean Data Coverage (IODC) Introduction Met-8 Met-10 Met-7 Processing areas View from 41.5 E. 4 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017
5 MSG-IODC Overall Project Schedule - History 1. Preparation Phase [January 2016 June 2016] completed 2. Satellite Drift Phase [July 2016 September 2016] completed Meteosat-8 successfully relocated to 41.5 E 3. Parallel Operations Phase [Oct end Jan. 2017] completed System verification and E2E system validation (3 17 Nov. 2016) Meteosat-7 and Meteosat-8 parallel operations and final MSG IODC service validation 4. Start of Operations [February 2017 onwards] implemented Meteosat-8 providing IODC service from 41.5 East 5 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017
6 Meteosat 8 First operational IODC image Metesat-8 Vis08 channel 01 February :00 (UTC) 6 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017
7 Product examples AMV AMV animations for channel 5: Filtered by QI (> 40) and pressure (< 450 hpa); R. Borde (RSP division) 7 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017
8 Product examples AMV AMV animations for channel 9: Filtered by QI (> 40) R. Borde (RSP division) 8 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017
9 Topics Introduction MSG-IODC Overall Project Schedule Status Product validation Products examples and opportunities 9 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017
10 Challenges in product verification Sub-satellite longitudes: Met-10 0, Met E Different sun-satellite angles (VIS channels) Different atmospheric paths from a specific scene towards each of the spacecraft (VIS & IR channels) Full disk statistics not directly comparable (e.g., different landsea distributions) Products were reprojected to a common grid at E for product difference analysis Differences between Meteosat 10 and Meteosat 8 products are to be expected 10 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017
11 Atmospheric Motion Vectors Meteosat-8 Meteosat-10 IR10.8 winds, rectified to 21.0 E, no QI filtering Difference in the wind field density due to different satellite viewing angles WV6.2 winds, rectified to 21.0 E, no QI filtering 11 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017
12 Atmospheric Motion Vectors QI > 60 filtering, very good agreement with only a few obvious differences QI > 80 filtering, correlation coefficients above 0.98 for every channel 12 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017
13 Cloud Mask Statistical analysis Cloud Mask 15 NOV 2016 Time (UTC) No difference 0DEG cloudy vs. IODC clear 0DEG clear vs. IODC cloudy Reprojection artefacts Stability analysis 13 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017
14 Clear Sky Radiance Statistical analysis IR10.8 brightness temperature [K] for 23 NOV :45 UTC IODC 0DEG 0DEG - IODC diff. min max mean median stddev Stability analysis 14 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017
15 Topics Introduction MSG-IODC Overall Project Schedule Status Product validation Products examples and opportunities 15 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017
16 Viewing geometry... Simultaneous views (GOES-E/W) of tops of tornadic storms above Nebraska showing how a different viewing angle shows the 3D vertical structure of the storm-top features GOES-8 East 16 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017 Courtesy of Martin Setvak
17 Viewing geometry... Simultaneous views (GOES-E/W) of tops of tornadic storms above Nebraska showing how a different viewing angle shows the 3D vertical structure of the storm-top features GOES-9 West 17 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017 Courtesy of Martin Setvak
18 Stereoscopic viewing possibilities Example on previous slides had a somewhat larger difference in viewing angles (60 deg) compared to IODC (41.5 deg) same principles still apply Stereoscopic observations from GEO not a new idea: Hasler, A.F., Stereographic observations from geosynchronous satellites an important new tool for the atmospheric science. Bull. Am. Meteorol. Soc. 62, Fujita, T.T., Principle of stereoscopic height computations and their applications to stratospheric cirrus over severe thunderstorms. J. Meteorol. Soc. Jpn. 60, Negri, A.J., Cloud-top structure of tornadic storms on 10 April 1979 from rapid scan and stereo satellite observations. Bull. Am. Meteorol. Soc. 63, Mack, R.A., Hasler, A.F., Adler, R.F., Thunderstorm cloud top observations using satellite stereoscopy. Mon. Weather Rev. 111, EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017
19 Stereoscopic imagery and application to MSG HRV data Inputs from Ján Kaňák, January 2017: While 3D monitors are using polarization glasses to select proper picture for left and right eye, anaglyph method required usage of anaglyph glasses with red filter for left and cyan filter for right eye. An example provided by Ján Kaňák on the next slide Left: Met-10 at 0 deg longitude, Right: Met-8 at 41.5E longitude. Both images are acting as stereo pair, which can be used to create anaglyph image or can be displayed by special 19 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017 monitors with 3D capability.
20 Example stereoscopic image (Ján Kaňák) Despite December date, in this Mediterranean region close to Tunisia strong convection was 20 observed. EUM/STG-SWG/42/17/VWG/03 Using v1, stereoscopic 7 8 Mach 2017 images, one can clearly recognize some storm top features
21 Proposed Service Meteorological Products Product Name Product Acronym Number/ Day Product Name Product Acronym Active Fire Monitoring FIR 96 Divergence DIV 24 Aerosol Over Sea AES 1 Global Instability Index GII 96 Atmospheric Motion Vectors AMV 24 All-Sky Radiances ASR 24 Clear-Sky Radiances CSR 24 High Resolution Precipitation Index Multisensor Precipitation Estimate Normalized Difference Vegetation Index HPI 1 MPE 96 NDVI 1 Number/ Day Clear Sky Reflectance Map CRM 1 Normalized Difference Vegetation Index decadal NDVI-D 1/10 days Climate Data Set CDS 96 Optimal Cloud Analysis OCA 24 Cloud Analysis CLA 24 Tropospheric Humidity TH 24 Cloud Analysis Image CLAI 8 Total Ozone TOZ 96 Cloud Mask CLM 96 Cloud Top Height CTH 96 Volcanic Ash VOL 0 96 (netcdf) (CAP-on request) (Italic: only to Data Centre) 21 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017
22 Summary Meteosat-8 is providing the IODC service since February 2017 MSG MPEF IODC product verification carried out successfully Products between Meteosat-10 (at 0 ) and Meteosat-8 (at 41.5 ) compared generally well Tropospheric humidity (THU) WV7.3 channel bias still under investigation. A source of the bias has been found in the differences in calibration of Met-8 and Met-10. Two similar sensors with a clear separation offers the chance to investigate also stereoscopic applications 22 EUM/STG-SWG/42/17/VWG/03 v1, 7 8 Mach 2017
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