The Sampling Variations of Hailstone Size Distributions

Raymond K. W. Wong Resource Technologies Department, Natural Resources Division, Alberta Research Council, Edmonton, Alberta, Canada

Search for other papers by Raymond K. W. Wong in
Current site
Google Scholar
PubMed
Close
,
Norman Chidambaram Resource Technologies Department, Natural Resources Division, Alberta Research Council, Edmonton, Alberta, Canada

Search for other papers by Norman Chidambaram in
Current site
Google Scholar
PubMed
Close
,
Lawrence Cheng Resource Technologies Department, Natural Resources Division, Alberta Research Council, Edmonton, Alberta, Canada

Search for other papers by Lawrence Cheng in
Current site
Google Scholar
PubMed
Close
, and
Marianne English Resource Technologies Department, Natural Resources Division, Alberta Research Council, Edmonton, Alberta, Canada

Search for other papers by Marianne English in
Current site
Google Scholar
PubMed
Close
Full access

Abstract

The use of a shifted gamma size distribution for hailstone samples is proposed. This is shown to provide a better fit than the usual exponential form, using time-resolved Alberta data. It is also concluded that there is a dependence of the shape of hailstone size distributions on the duration of sampling time. Such shape variations are associated with the sampling efficiency of the smaller size categories. The importance of the smaller sizes to the common hail integral estimates is also investigated. The minimum sizes required for sampling accuracy of these integral estimates are also obtained.

Abstract

The use of a shifted gamma size distribution for hailstone samples is proposed. This is shown to provide a better fit than the usual exponential form, using time-resolved Alberta data. It is also concluded that there is a dependence of the shape of hailstone size distributions on the duration of sampling time. Such shape variations are associated with the sampling efficiency of the smaller size categories. The importance of the smaller sizes to the common hail integral estimates is also investigated. The minimum sizes required for sampling accuracy of these integral estimates are also obtained.

Save