Diagnosis of supercooled large drop conditions using cloud water content and drop concentration

Ben C. Bernstein; Frank McDonough; Cory A. Wolff; Marcia K. Politovich; Roy M. Rasmussen; Stewart G. Cober

Diagnosis of supercooled large drop conditions using cloud water content and drop concentration

Ben C. Bernstein, Frank McDonough, Cory A. Wolff, Marcia K. Politovich, Roy M. Rasmussen, Stewart G. Cober

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11 Scopus citations

Abstract

Supercooled large drop (SLD) conditions were investigated using cloud water content and drop concentration. A range of combinations of liquid water content (LWC) and drop concentration in which SLD and small-drop icing occurs was studied. The synoptic- and meso-scale forcing associated with them were also studied. The results show that there are key features in observational data and model output which can be used to help differentiate between the regimes. Once the regime is identified, it is possible to accurately forecast the size of the drop.

Original language	English
Pages	445-450
Number of pages	6
State	Published - 2004
Event	11th Conference on Aviation, Range, and Aerospace Meterology - Hyannis, MA, United States Duration: Oct 4 2004 → Oct 8 2004

Conference

Conference	11th Conference on Aviation, Range, and Aerospace Meterology
Country/Territory	United States
City	Hyannis, MA
Period	10/4/04 → 10/8/04

Cite this

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title = "Diagnosis of supercooled large drop conditions using cloud water content and drop concentration",

abstract = "Supercooled large drop (SLD) conditions were investigated using cloud water content and drop concentration. A range of combinations of liquid water content (LWC) and drop concentration in which SLD and small-drop icing occurs was studied. The synoptic- and meso-scale forcing associated with them were also studied. The results show that there are key features in observational data and model output which can be used to help differentiate between the regimes. Once the regime is identified, it is possible to accurately forecast the size of the drop.",

author = "Bernstein, \{Ben C.\} and Frank McDonough and Wolff, \{Cory A.\} and Politovich, \{Marcia K.\} and Rasmussen, \{Roy M.\} and Cober, \{Stewart G.\}",

year = "2004",

language = "English",

pages = "445--450",

note = "11th Conference on Aviation, Range, and Aerospace Meterology ; Conference date: 04-10-2004 Through 08-10-2004",

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TY - CONF

T1 - Diagnosis of supercooled large drop conditions using cloud water content and drop concentration

AU - Bernstein, Ben C.

AU - McDonough, Frank

AU - Wolff, Cory A.

AU - Politovich, Marcia K.

AU - Rasmussen, Roy M.

AU - Cober, Stewart G.

PY - 2004

Y1 - 2004

N2 - Supercooled large drop (SLD) conditions were investigated using cloud water content and drop concentration. A range of combinations of liquid water content (LWC) and drop concentration in which SLD and small-drop icing occurs was studied. The synoptic- and meso-scale forcing associated with them were also studied. The results show that there are key features in observational data and model output which can be used to help differentiate between the regimes. Once the regime is identified, it is possible to accurately forecast the size of the drop.

AB - Supercooled large drop (SLD) conditions were investigated using cloud water content and drop concentration. A range of combinations of liquid water content (LWC) and drop concentration in which SLD and small-drop icing occurs was studied. The synoptic- and meso-scale forcing associated with them were also studied. The results show that there are key features in observational data and model output which can be used to help differentiate between the regimes. Once the regime is identified, it is possible to accurately forecast the size of the drop.

UR - https://www.scopus.com/pages/publications/23944473792

M3 - Paper

AN - SCOPUS:23944473792

SP - 445

EP - 450

T2 - 11th Conference on Aviation, Range, and Aerospace Meterology

Y2 - 4 October 2004 through 8 October 2004

ER -

Diagnosis of supercooled large drop conditions using cloud water content and drop concentration

Abstract

Conference

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