msg indian ocean data coverage (iodc) - world ... · 1 eum/stg-swg/42/17/vwg/03 v1, 7 – 8 mach...

1 EUM/STG-SWG/42/17/VWG/03 v1, 7 – 8 Mach 2017

Jochen Grandell & Sauli Joro

MSG Indian Ocean Data Coverage (IODC)


Topics

• Introduction

• MSG-IODC Overall Project Schedule – Status

• Product validation

• Products examples and opportunities


Indian Ocean Data Coverage (IODC) – Introduction

• At its 78th 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 2017.

• 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 85th 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


Indian Ocean Data Coverage (IODC) – Introduction

Met-8

Met-10

Met-7

Processing areas

View from 41.5°E.


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. 2016 – 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


Meteosat – 8 First operational IODC image

Metesat-8 Vis08 channel 01 February 2017 – 10:00 (UTC)


Product examples – AMV

AMV animations for channel 5: Filtered by QI (> 40) and pressure (< 450 hPa);

R. Borde (RSP division)


Product examples – AMV

AMV animations for channel 9: Filtered by QI (> 40)

R. Borde (RSP division)


Topics

• Introduction





Challenges in product verification

Sub-satellite longitudes: Met-10 0°, Met-8 41.5°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 land-

sea distributions)

Products were reprojected to a common grid at 20.75°E for

product difference analysis

Differences between Meteosat 10 and Meteosat 8 products are

to be expected


Atmospheric Motion Vectors

Meteosat-8 Meteosat-10

IR10.8 winds, rectified to 21.0°E,

no QI filtering

WV6.2 winds, rectified to 21.0°E,

no QI filtering

Difference in the wind field density

due to different satellite viewing

angles


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


Cloud Mask

Cloud Mask 15 NOV 2016

Time (UTC) No difference 0DEG cloudy vs. IODC clear

0DEG clear vs. IODC cloudy

00 87.2 6.3 6.5

03 85.2 6.9 7.9

06 86.2 7.5 6.3

09 85.6 6.5 7.9

12 85.2 7.3 7.5

15 84.5 7.9 7.6

18 86.1 7.8 6.1

21 87.8 6.7 5.5

Statistical analysis

Stability analysis Reprojection artefacts


Clear Sky Radiance

Statistical analysis

Stability analysis

IR10.8 brightness temperature [K] for 23 NOV 2016 10:45 UTC

IODC 0DEG 0DEG - IODC diff.

min 244.2 253.4 -18.7

max 329.2 329.0 24.4

mean 293.7 294.2 -0.2

median 294.1 293.1 0.0

stddev 11.5 9.7 3.2


Topics

• Introduction





Viewing geometry...

GOES-8 East

Courtesy of Martin Setvak

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

Courtesy of Martin Setvak

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

Viewing geometry...


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., 1981. Stereographic observations from geosynchronous satellites — an important new tool for the atmospheric science. Bull. Am. Meteorol. Soc. 62, 194–212.

• Fujita, T.T., 1982. Principle of stereoscopic height computations and their applications to stratospheric cirrus over severe thunderstorms. J. Meteorol. Soc. Jpn. 60, 355–368.

• Negri, A.J., 1982. Cloud-top structure of tornadic storms on 10 April 1979 from rapid scan and stereo satellite observations. Bull. Am. Meteorol. Soc. 63, 1151–1159.

• Mack, R.A., Hasler, A.F., Adler, R.F., 1983. Thunderstorm cloud top observations using satellite stereoscopy. Mon. Weather Rev. 111, 1949–1964.


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

monitors with 3D capability.


Example stereoscopic image

(Ján Kaňák)

Despite December date, in this Mediterranean region close to Tunisia strong convection was observed. Using stereoscopic images, one can clearly recognize some storm top features


Proposed Service – Meteorological Products

Product Name Product Acronym

Number/ Day

Product Name Product Acronym

Number/ Day

Active Fire Monitoring FIR 96 Divergence DIV 24

Aerosol Over Sea AES 1 Global Instability Index GII 96

Atmospheric Motion Vectors AMV 24 High Resolution Precipitation Index

HPI 1

All-Sky Radiances ASR 24 Multisensor Precipitation Estimate

MPE 96

Clear-Sky Radiances CSR 24 Normalized Difference Vegetation Index

NDVI 1

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

Volcanic Ash VOL

0 96 (netCDF) (CAP-on request)

Cloud Top Height CTH 96

(Italic: only to Data Centre)


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

msg indian ocean data coverage (iodc) - world ... · 1 eum/stg-swg/42/17/vwg/03 v1, 7 – 8 mach...

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