Results 251 to 260 of about 9,183 (293)

Permafrost Distribution in the Canadian Rockies: Key Variables Influencing Patch‐Scale Variability

open access: yesPermafrost and Periglacial Processes, EarlyView.
ABSTRACT The spatial distribution of permafrost in mountainous regions is influenced by various factors such as topography, climate, vegetation, and substrate. Despite the existence of comprehensive permafrost maps at national and global levels, they fail to accurately represent the patch‐scale (e.g., < 25 m) permafrost distribution in characteristic ...
Gerardo Zegers   +2 more
wiley   +1 more source

Wandering of the auroral oval 41,000 years ago. [PDF]

open access: yesSci Adv
Mukhopadhyay A   +8 more
europepmc   +1 more source

The Age and Origin of Block Deposits in the Victorian Alps, Australia

open access: yesPermafrost and Periglacial Processes, EarlyView.
ABSTRACT Large periglacial block deposits are found in the mountains of southeastern Australia. Despite their widespread distribution, their mode of formation and age are poorly understood. These landforms hold considerable potential to shed light on the nature of cooling during glacial periods. In this paper we present a new study of block deposits in
Timothy T. Barrows   +4 more
wiley   +1 more source

Deciphering Freeze–Thaw Dynamics In Rockwalls: A Novel Approach for High Accuracy Regional‐Scale Modeling

open access: yesPermafrost and Periglacial Processes, EarlyView.
ABSTRACT Using a large and novel array of instruments on five rockwalls in northern Gaspesia, their respective surface energy balances were calculated and their thermal regimes were measured and modeled to depths exceeding the seasonal frost penetration.
Tom Birien, Francis Gauthier
wiley   +1 more source

UCanWBGT: urban street canyon heat stress calculation for weather and climate models

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
This work introduces UCanWBGT, a new model to calculate wet‐bulb globe temperature in an urban environment, suitable for use with weather and climate model data. We present the model, then verify its performance against observations made in the streets of Paris during heatwave conditions.
Jonathan K. P. Shonk   +4 more
wiley   +1 more source

Characteristics of diabatically influenced cyclones with high wind damage potential in Europe

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Diabatic processes contribute, on average, 26% to the intensification of European winter storms, with diabatically driven cyclones exhibiting steeper deepening rates, stronger wind gusts, and increased precipitation. These storms are linked to enhanced warm conveyor belt (WCB) activity and develop in a warmer environment with elevated lower ...
Svenja Christ   +2 more
wiley   +1 more source

Dynamics and model representation of two contrasting extreme precipitation events in the Sahel

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Hovmöller diagrams of the two investigated extreme precipitation events in Mali are shown for (i) IMERG observations, and ICOsahedral Nonhydrostatic model (ICON) runs with parameterization of explicit convection (ii) enabled and (iii) disabled. This work highlights that the commonly perceived benefit of using explicit convection in a state‐of‐the‐art ...
Souleymane Sanogo   +4 more
wiley   +1 more source

Characterization of the Surfaces and Near-Surface Atmospheres of Ganymede, Europa and Callisto by JUICE. [PDF]

open access: yesSpace Sci Rev
Tosi F   +46 more
europepmc   +1 more source

Machine‐learning approaches for characterizing the raindrop size distributions in Western Pacific tropical cyclones

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Long‐term disdrometer observations are utilized to derive Z–R relationships for ‐the Western Pacific tropical cyclones. A hybrid moment‐based approach is employed to determine the interrelationships among pairs of gamma distribution parameters. Enhanced estimates of rainfall rate and slope parameter are obtained using machine‐learning techniques ...
Jayalakshmi Janapati   +5 more
wiley   +1 more source

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