Zobrazeno 1 - 10
of 26
pro vyhledávání: '"T P, Garrett"'
Publikováno v:
Nonlinear Processes in Geophysics, Vol 31, Pp 497-513 (2024)
The deterministic motions of clouds and turbulence, despite their chaotic nature, have nonetheless been shown to follow simple statistical power-law scalings: a fractal dimension D relates individual cloud perimeters p to a measurement resolution, an
Externí odkaz:
https://doaj.org/article/99c76e057d3e40beb882d8c668b07b52
Publikováno v:
Atmospheric Measurement Techniques, Vol 17, Pp 4581-4598 (2024)
It is a challenge to obtain accurate measurements of the microphysical properties of delicate, structurally complex, frozen, and semi-frozen hydrometeors. We present a new technique for the real-time measurement of the density of freshly fallen indiv
Externí odkaz:
https://doaj.org/article/20886215d99349d8af54ce95eb071ff0
Autor:
T. D. DeWitt, T. J. Garrett
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 8457-8472 (2024)
A significant uncertainty in assessments of the role of clouds in climate is the characterization of the full distribution of their sizes. Order-of-magnitude disagreements exist among observations of key distribution parameters, particularly power la
Externí odkaz:
https://doaj.org/article/4f7fad761a9849f3a7cfbb6649beb83b
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 109-122 (2024)
Cloud area distributions are a defining feature of Earth's radiative exchanges with outer space. Cloud perimeter distributions n(p) are also interesting because the shared interface between clouds and clear sky determines exchanges of buoyant energy
Externí odkaz:
https://doaj.org/article/b5c72c4398794cda8b9da6cb79a6eae2
Publikováno v:
Earth System Dynamics, Vol 13, Pp 1021-1028 (2022)
Global economic production – the world gross domestic product (GDP) – has been rising steadily relative to global primary energy demands, lending hope that technological advances can drive a gradual decoupling of society from its resource needs a
Externí odkaz:
https://doaj.org/article/b30992cfa6e74d6a9fb3aef0555b55ef
Autor:
K. N. Rees, T. J. Garrett
Publikováno v:
Atmospheric Measurement Techniques, Vol 14, Pp 7681-7691 (2021)
Due to the discretized nature of rain, the measurement of a continuous precipitation rate by disdrometers is subject to statistical sampling errors. Here, Monte Carlo simulations are employed to obtain the precision of rain detection and rate as a fu
Externí odkaz:
https://doaj.org/article/0a1bcf81d96246f3bd1363347d037183
Publikováno v:
Atmospheric Measurement Techniques, Vol 14, Pp 6973-6990 (2021)
The Differential Emissivity Imaging Disdrometer (DEID) is a new evaporation-based optical and thermal instrument designed to measure the mass, size, density and type of individual hydrometeors as well as their bulk properties. Hydrometeor spatial dim
Externí odkaz:
https://doaj.org/article/5ebb3749d7f34ec4ab80f0583b5fc0dc
Publikováno v:
Atmospheric Chemistry and Physics, Vol 21, Pp 14235-14250 (2021)
A new precipitation sensor, the Differential Emissivity Imaging Disdrometer (DEID), is used to provide the first continuous measurements of the mass, diameter, and density of individual hydrometeors. The DEID consists of an infrared camera pointed at
Externí odkaz:
https://doaj.org/article/63deee4e97fb41d48473397cd6ddeb09
Publikováno v:
Atmospheric Measurement Techniques, Vol 14, Pp 1127-1142 (2021)
Ground-based measurements of frozen precipitation are heavily influenced by interactions of surface winds with gauge-shield geometry. The Multi-Angle Snowflake Camera (MASC), which photographs hydrometeors in free-fall from three different angles whi
Externí odkaz:
https://doaj.org/article/63b142ab96344074b263be6ec070234e
Publikováno v:
Atmospheric Chemistry and Physics, Vol 17, Pp 12011-12030 (2017)
The snowflake microstructure determines the microwave scattering properties of individual snowflakes and has a strong impact on snowfall radar signatures. In this study, individual snowflakes are represented by collections of randomly distributed
Externí odkaz:
https://doaj.org/article/0e90c6d1d3b54eac988be050c0b29edb