2009
DOI: 10.1175/2008waf2222141.1
|View full text |Cite
|
Sign up to set email alerts
|

The MSG Global Instability Indices Product and Its Use as a Nowcasting Tool

Abstract: The European geostationary Meteosat Second Generation (MSG) satellite offers a variety of channels to use for various purposes, including nowcasting of convection. A number of applications have also been developed to make use of these new capabilities for nowcasting, especially for the detection and prediction of severe weather. The MSG infrared channel selection makes it possible to assess the air stability in preconvective, that is, still cloud-free, conditions. Instability indices are traditionally derived … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
25
0
1

Year Published

2010
2010
2017
2017

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 38 publications
(26 citation statements)
references
References 17 publications
0
25
0
1
Order By: Relevance
“…7.2 Atmospheric stability index product JMA plans to produce a stability index product for cloud-free conditions. This will be similar to the Legacy Atmospheric Profile (LAP) product for GOES-R developed by NOAA/NESDIS (Lee et al 2014) and the Global Instability Index (GII) for MSG developed by EUMETSAT (Koenig and Coning 2009). The product will provide atmospheric stability indices such as Convective Available Potential Energy (CAPE), K-Index, and precipitable water values.…”
Section: Optimal Cloud Analysismentioning
confidence: 99%
“…7.2 Atmospheric stability index product JMA plans to produce a stability index product for cloud-free conditions. This will be similar to the Legacy Atmospheric Profile (LAP) product for GOES-R developed by NOAA/NESDIS (Lee et al 2014) and the Global Instability Index (GII) for MSG developed by EUMETSAT (Koenig and Coning 2009). The product will provide atmospheric stability indices such as Convective Available Potential Energy (CAPE), K-Index, and precipitable water values.…”
Section: Optimal Cloud Analysismentioning
confidence: 99%
“…We hypothesize that the sudden increase at 1200 UTC corresponds with a new first-guess moisture field from the ECMWF. Koenig and de Coning (2009) acknowledge that ''the retrieved profiles tend to retain features of the first guess,'' so our hypothesis is a reasonable possibility. If true, this suggests that the retrieval in this case is more sensitive to the model first guess than to the SWD observations.…”
Section: Example From Meteosat Second Generationmentioning
confidence: 79%
“…7. Column 3 is the MSG total precipitable water retrieval (Koenig and de Coning 2009); it uses the European Centre for Medium-Range Weather Forecasts (ECMWF) model 6-h forecast moisture profiles as a first guess and then adjusts the profiles based on SEVIRI-observed radiances in order to retrieve the TPW. At 1000 UTC, some high clouds can be seen in the HRV image in the northwestern portion of the black polygon, but otherwise the area is free of clouds.…”
Section: Example From Meteosat Second Generationmentioning
confidence: 99%
“…En outre, les observations d'IRS compléteront les produits des imageurs couramment utilisés pour surveiller l'instabilité atmosphérique (Koenig et de Coning, 2009) et l'initiation de la convection (Mecikalski et al, 2015).…”
Section: L'imageur D'éclairs LIunclassified