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The relationship between precipitation and its spatial organisation in the trades observed during EUREC4A
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Trade wind convection organises into a rich spectrum of spatial
patterns, often in conjunction with precipitation development. This
raises the question of the role of spatial organisation for
precipitation and vice versa. We analyse scenes of trade wind convection
scanned by the C-band radar Poldirad during the EUREC4A field campaign
to investigate how trade wind precipitation fields are spatially
organised, quantified by the cells' number, mean size and spatial
arrangement, and how this matters for precipitation characteristics.
During EUREC4A, a mean rain cell size of about 5 km and a mean distance
to the nearest neighbouring cell of about 14 km were most common. We
find that the amount of precipitation in a scene is influenced in a
different way than the intensity of precipitation by the spatial
organization. While precipitation amount increases with mean cell size
and number, as it scales well with precipitation fraction, precipitation
intensity increases predominantly with mean cell size. The increase of
precipitation intensity with mean cell size, however, differs with the
moisture regime. It is stronger in dry than in moist scenes. Dry scenes
typically contain fewer cells with a higher degree of clustering than
moist scenes. The highest precipitation intensities hence typically
occur in scenes with on average large and few cells and a high degree of
clustering, while the highest precipitation amounts typically occur in
scenes with on average large and numerous cells and a low degree of
clustering. Our analyses suggest that the cells' spatial arrangement is
important for precipitation formation in dry environments, but mainly
weakly correlated with precipitation characteristics and thus of second
order importance across all regimes. Our analyses highlight the
importance of cell size, as it influences both the intensity and amount
of precipitation.
Title: The relationship between precipitation and its spatial organisation in the trades observed during EUREC4A
Description:
Trade wind convection organises into a rich spectrum of spatial
patterns, often in conjunction with precipitation development.
This
raises the question of the role of spatial organisation for
precipitation and vice versa.
We analyse scenes of trade wind convection
scanned by the C-band radar Poldirad during the EUREC4A field campaign
to investigate how trade wind precipitation fields are spatially
organised, quantified by the cells' number, mean size and spatial
arrangement, and how this matters for precipitation characteristics.
During EUREC4A, a mean rain cell size of about 5 km and a mean distance
to the nearest neighbouring cell of about 14 km were most common.
We
find that the amount of precipitation in a scene is influenced in a
different way than the intensity of precipitation by the spatial
organization.
While precipitation amount increases with mean cell size
and number, as it scales well with precipitation fraction, precipitation
intensity increases predominantly with mean cell size.
The increase of
precipitation intensity with mean cell size, however, differs with the
moisture regime.
It is stronger in dry than in moist scenes.
Dry scenes
typically contain fewer cells with a higher degree of clustering than
moist scenes.
The highest precipitation intensities hence typically
occur in scenes with on average large and few cells and a high degree of
clustering, while the highest precipitation amounts typically occur in
scenes with on average large and numerous cells and a low degree of
clustering.
Our analyses suggest that the cells' spatial arrangement is
important for precipitation formation in dry environments, but mainly
weakly correlated with precipitation characteristics and thus of second
order importance across all regimes.
Our analyses highlight the
importance of cell size, as it influences both the intensity and amount
of precipitation.
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