Artículo
Quantifying hail size distributions from the sky - Application of drone aerial photogrammetry
Soderholm, Joshua S.; Kumjian, Matthew R.; McCarthy, Nicholas; Maldonado, Paula Soledad
; Wang, Minzheng
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Fecha de publicación:
02/2020
Editorial:
Copernicus Publications
Revista:
Atmospheric Measurement Techniques
ISSN:
1867-1381
e-ISSN:
1867-8548
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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.
Palabras clave:
HAIL SIZE DISTRIBUTION
,
PHOTOGRAMMETRY
,
RELAMPAGO
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Colecciones
Articulos(CIMA)
Articulos de CENTRO DE INVESTIGACIONES DEL MAR Y LA ATMOSFERA
Articulos de CENTRO DE INVESTIGACIONES DEL MAR Y LA ATMOSFERA
Citación
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
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