Conceptual Models (CMs): Wave - Upper wave

Slides:

Advertisements

Similar presentations

Creating AEW diagnostics. As seen in case studies and composites, AEWs are characterized by a ‘wavelike’ perturbation to the mid-tropospheric wind field.

Advertisements

1 Introduction into the Absorption Channels Description of characteristics and content of the CO2 channel: Ch11: 13.4  Contact person: Veronika Zwatz-Meise.

Accessing and Interpreting Web-based Weather Data Clinton Rockey National Weather Service Portland, Oregon.

ASII-NG: Developments and outlook NWCSAF 2015 Users Workshop.

1 Conceptual Model: Rapid Cyclogenesis How to use MSG satellite images similarities to and improvements over MTP Contact person: Veronika Zwatz-Meise

Conceptual Models of Cold Fronts: Anacoldfront Katacoldfront.

1 Introduction into the Absorption Channels Description of characteristics and content of the Ozone channel: Ch08: 9.7  Contact person: Veronika Zwatz-Meise.

1 Conceptual Models (CMs): Cold fronts (CF), Ana- and Katatype How to use MSG satellite images similarities to and improvements over MTP Contact person:

Niels Woetmann Nielsen Danish Meteorological Institute

1 Conceptual Models (CMs): Cold Air Cloudiness (CAC), Enhanced Cumulus (EC ) and Comma How to use MSG satellite images similarities to and improvements.

Weismann (1992) Weisman, M. L., 1992: The role of convectively generated rear- inflow jets in the evolution of long-lived mesoconvective systems. J. Atmos.

Conceptual Models of Cold Air Features: Comma. Cloud Structures in Satellite Images.

Water Vapour Imagery and

More on Water Vapor/Clouds Satellite Meteorology/Climatology.

Image Interpretation for Weather Analysis Part 2 26 October 2010 Dr. Steve Decker.

AOS 100: Weather and Climate Instructor: Nick Bassill Class TA: Courtney Obergfell.

Frontal Characteristics

Conceptual Model of: Orographic Cloudiness: Lee cloudiness Lee waves High lee cloudiness.

1 Introduction into the Solar Channels Description of characteristics and content of the channels: Ch01: 0.6  Ch02: 0.8  Ch03: 1.6  Contact person:

1 Introduction into the Absorption Channels Description of characteristics and content of the WV channels: Ch05: 6.2  Ch06: 7.3  Contact person: Veronika.

RGB Airmass and Dust products NASA SPoRT CIRA. RGB Air Mass RED (6.2 – 7.3) –vertical moisture distribution GREEN ( ) – tropopause height based.

Blended Course on the Principles of Satellite Meteorology 21 st April – 15 th July 2009 Classroom June 2009 Final Presentation – Convection – 09May2009.

1 Conceptual Model (CM): Comma (different types) How to use MSG satellite images similarities to and improvements over MTP Contact person: Veronika Zwatz-Meise.

SATELLITE METEOROLOGY BASICS satellite orbits EM spectrum

The Linear and Non-linear Evolution Mechanism of Mesoscale Vortex Disturbances in Winter Over Western Japan Sea Yasumitsu MAEJIMA and Keita IGA (Ocean.

1 Conceptual Models (CMs): Stau (Alps) Lee waves Snow How to use MSG satellite images similarities to and improvements over MTP Contact person: Veronika.

Lessons on Satellite Meteorology Part I : General Introduction Short history Geo versus polar satellite Visible images Infrared images Water vapour images.

Zentralanstalt für Meteorologie und Geodynamik Introduction to Conceptual Models Veronika Zwatz-Meise.

Dynamic tropopause analysis; What is the dynamic tropopause?

Frentes 3ª parte M en C Marcial Orlando Delgado D SENEAM Meteorología Sinóptica y Análisis I Trimestre enero marzo 2010.

1 Conceptual Model: Rapid Cyclogenesis How to use MSG satellite images similarities to and improvements over MTP Contact person: Veronika Zwatz-Meise

1 Conceptual Models (CMs): Cold Air Cloudiness (CAC), Enhanced Cumulus (EC ) and Comma How to use MSG satellite images similarities to and improvements.

Jets Dynamics Weather Systems – Fall 2015 Outline: a.Why, when and where? b.What is a jet streak? c.Ageostrophic flow associated with jet streaks.

Version 1.0, 14 May 2004 Slide: 1 APPLICATIONS OF METEOSAT SECOND GENERATION (MSG) FOG DETECTION Author:Jochen Kerkmann (EUMETSAT)

Purpose To deepen your knowledge to use satellite images for practical nowcasting during situations of summer convection  Model monitoring  Interpretation.

Clouds Ice cloud detection using the 8.7  m channel: areas of ice clouds (in particular thin cirrus) are red (positive difference), clear ground and water.

Frentes 3ª parte M en C Marcial Orlando Delgado D SENEAM Meteorología Sinóptica y Análisis I Trimestre enero marzo 2010.

Case study of a gust front passing the Danish island Funen on 9 November 2008 Majken Demant Meteorologist, aviation forecaster, DMI Eumetcal.

Page 1© Crown copyright 2006 Boundary layer mechanisms in extra-tropical cyclones Bob Beare.

Weather phenomena associated with local energy budgets (mist, fog, dew, temperature inversions, land and sea breezes).

SO254 Extratropical cyclones

METEOSAT SECOND GENERATION (MSG) NIGHT-TIME CONVECTION

METEOSAT SECOND GENERATION (MSG) NIGHT-TIME CONVECTION

AOS 101 Cyclone Structure April 22/24 April 29/May 1.

A Probabilistic Nighttime Fog/Low Stratus Detection Algorithm

INTERPRETATION OF LARGE SCALE CUMULUS CLOUD PATTERNS

Diffraction through a single slit

METEOSAT SECOND GENERATION (MSG)

INTERPRETING FEATURES ASSOCIATED WITH BAROCLINIC TROUGHS

Interference of EM Waves

CONCEPT OF CONVEYER BELT IN FRONTS AND WAVES

METEOSAT SECOND GENERATION (MSG)

GOES visible (or “sun-lit”) image

Jets Dynamics Weather Systems – Fall 2017

INTERPRETATION OF LARGE SCALE CIRRUS PATTERNS

Cyclogenesis in Polar Airstreams

Weather phenomena associated with local energy budgets (mist, fog, dew, temperature inversions, land and sea breezes).

Validation of PGE 10 Automatic Satellite Image Interpretation

Conceptual Models (CMs): Wave - Upper wave

Comparison Ch01 and 03 Development of deep convection

Weather phenomena associated with local energy budgets (mist, fog, dew, temperature inversions, land and sea breezes).

METEOSAT SECOND GENERATION (MSG)

Detection and nowcasting of fog

Image Interpretation for Weather Analysis

Conceptual Models (CMs): Stau (Alps) Lee waves Snow

Water Vapour Imagery and

Introduction into the Absorption Channels

MPEF DIVergence product Interpretation scheme

METEOSAT SECOND GENERATION (MSG)

Presentation transcript:

Conceptual Models (CMs): Wave - Upper wave How to use MSG satellite images similarities to and improvements over MTP Contact person: Veronika Zwatz-Meise zwatz-meise@zamg.ac.at Version 1.0. 13 July 2004

CM: Wave - Upper wave MTP channels in comparison with the corresponding MSG channels CM Wave: IR image + relevant NWP parameters MSG additional channels + Channel combinations WV and WV difference images

MTP: ir As the image time between MTP and MSG differs, a shift between the cloud systems can be noticed in the two images

MSG: ch09 Sharper contours through improved space resolution

MTP: vis

MSG: ch01 Looks relatively similar; but: somewhat coarser space resolution

MTP:VIS(2x)+IR

MSG:129 Sharper contours and more detailed grey-shades through improved space resolution in IRand additional information from 2 different VIS channels

CM: Wave - Upper wave CM Wave: IR image + relevant NWP parameters MTP channels in comparison with the corresponding MSG channels CM Wave: IR image + relevant NWP parameters MSG additional channels + Channel combinations WV and WV difference images

H1000 Upper wave: No or only very weak surface minimum

H500 Wave and upper wave: Upper level trough at rear side of front

Equ. Thickness + TFP Thickness gradient and TFP; transition from Kata to Anatype; TFP at leading edge typical for upper wave

TFP + TA 700 hPa Upper wave: CA at 700 hPawithin whole cloud band

H500 + PVA Upper level trough at rear side of front PVA max along as well as above frontal cloud band

CM: Wave - Upper wave MSG additional channels + Channel combinations MTP channels in comparison with the corresponding MSG channels CM Wave: IR image + relevant NWP parameters MSG additional channels + Channel combinations WV and WV difference images

CH03 Recognition of water and ice clouds: dark grey: ice clouds white: water clouds CH03

134 4 different colours within upper wave: different cloud layers and stages

149 4 different colours within upper wave: different cloud layers and stages

139 4 different colours within upper wave: different cloud layers and stages; best separation between colours

139 + Shear vorticity 300 hpa

CM: Wave - Upper wave WV and WV difference images MTP channels in comparison with the corresponding MSG channels CM Wave: IR image + relevant NWP parameters MSG additional channels + Channel combinations WV and WV difference images

Ch05

Ch06

Ch05 Distinct black stripe only in upper layers grey area in both levels; darker in the lower layer No big difference between the two channels: cloud edge

Example for dry air in lower levels below frontal surface and jet axis wet dry wet dry