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dc.contributor.author
Soderholm, Joshua S.
dc.contributor.author
Kumjian, Matthew R.
dc.contributor.author
McCarthy, Nicholas
dc.contributor.author
Maldonado, Paula Soledad
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dc.contributor.author
Wang, Minzheng
dc.date.available
2021-10-15T17:56:07Z
dc.date.issued
2020-02
dc.identifier.citation
Soderholm, Joshua S.; Kumjian, Matthew R.; McCarthy, Nicholas; Maldonado, Paula Soledad; Wang, Minzheng; Quantifying hail size distributions from the sky - Application of drone aerial photogrammetry; Copernicus Publications; Atmospheric Measurement Techniques; 13; 2; 2-2020; 747-754
dc.identifier.issn
1867-1381
dc.identifier.uri
http://hdl.handle.net/11336/143889
dc.description.abstract
A new technique, named "HailPixel", is introduced for measuring the maximum dimension and intermediate dimension of hailstones from aerial imagery. The photogrammetry procedure applies a convolutional neural network for robust detection of hailstones against complex backgrounds and an edge detection method for measuring the shape of identified hailstones. This semi-automated technique is capable of measuring many thousands of hailstones within a single survey, which is several orders of magnitude larger (e.g. 10 000 or more hailstones) than population sizes from existing sensors (e.g. a hail pad). Comparison with a co-located hail pad for an Argentinian hailstorm event during the RELAMPAGO project demonstrates the larger population size of the HailPixel survey significantly improves the shape and tails of the observed hail size distribution. When hail fall is sparse, such as during large and giant hail events, the large survey area of this technique is especially advantageous for resolving the hail size distribution.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Copernicus Publications
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
HAIL SIZE DISTRIBUTION
dc.subject
PHOTOGRAMMETRY
dc.subject
RELAMPAGO
dc.subject.classification
Meteorología y Ciencias Atmosféricas
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dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Quantifying hail size distributions from the sky - Application of drone aerial photogrammetry
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-09-07T18:10:57Z
dc.identifier.eissn
1867-8548
dc.journal.volume
13
dc.journal.number
2
dc.journal.pagination
747-754
dc.journal.pais
Estados Unidos
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dc.description.fil
Fil: Soderholm, Joshua S.. Universitat Bonn; Alemania
dc.description.fil
Fil: Kumjian, Matthew R.. State University of Pennsylvania; Estados Unidos
dc.description.fil
Fil: McCarthy, Nicholas. University of Queensland; Australia
dc.description.fil
Fil: Maldonado, Paula Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
dc.description.fil
Fil: Wang, Minzheng. Northraine Pty. Ltd.; Australia
dc.journal.title
Atmospheric Measurement Techniques
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.5194/amt-13-747-2020
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://amt.copernicus.org/articles/13/747/2020/
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