Results 191 to 200 of about 11,686 (251)

Evaluating Testability of Permafrost Models Through Physical and Thermal Testing in Complex Mountain Terrain, Yukon, Canada

open access: yesPermafrost and Periglacial Processes, EarlyView.
ABSTRACT Due to its subsurface nature, permafrost cannot be directly observed with the naked eye or optical remote sensing. Consequently, accurately describing its distribution and thermal state is challenging. This is especially true in vast, remote environments, where obtaining comprehensive field data is demanding or improbable.
Ria Nicholson   +5 more
wiley   +1 more source

Polar‐low track prediction using machine‐learning methods

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang   +4 more
wiley   +1 more source

NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part I: Methods

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
In this work we present the methods of the areal precipitation nowcasting system NowPrecip version 2. In this version a new methodology is introduced, which, although it shares philosophy and techniques with the original methodology of NowPrecip version 1, can be considered as distinct from that.
I. V. Sideris   +7 more
wiley   +1 more source

Forearm Radiomyography for Character and Writer Identification in Air Writing. [PDF]

open access: yesIEEE J Electromagn RF Microw Med Biol
Delay UH, Zhang Z, Kan EC.
europepmc   +1 more source

NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part II: Verification

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
In this work we present the verification of the NowPrecip precipitation nowcasting systems (version 1 and version 2). Using 3.5 years of data over the period 2020–2023, their performance is compared with PySTEPS and the ICON numerical weather prediction ensemble by computing deterministic and probabilistic metrics.
A. Ntoumos   +8 more
wiley   +1 more source

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