Results 121 to 130 of about 6,487 (182)

Spatial Variability of Permafrost and Active Layer Thickness in a Forested Hillslope of the Taiga Shield

open access: yesPermafrost and Periglacial Processes, EarlyView.
ABSTRACT Under continued climate warming, understanding present‐day permafrost distribution and the controls on ground thaw are critical for predicting permafrost thaw trajectories and associated implications. This study presents a high‐resolution investigation of permafrost extent and active layer thickness (ALT) across a coniferous forested hillslope
Alana Muenchrath   +2 more
wiley   +1 more source

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

A new smoother method for treating different timescales in variational data assimilation for coupled systems

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We propose a new method for treating different timescales in coupled variational data assimilation for atmosphere–ocean models. The approach involves a series of short‐window coupled assimilations (red arrows in the schematic) followed by a long‐window correction to the ocean fields (blue arrow).
Amos S. Lawless   +3 more
wiley   +1 more source

Measures and Metrics of Biological Signals. [PDF]

open access: yesFront Physiol, 2018
Kasum O, Perović A, Jovanović A.
europepmc   +1 more source

Stratospheric and tropospheric seasonality and its implications for observation requirements in numerical weather prediction

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Daily time series of zonal‐mean zonal wind (m·s−1) at 10 hPa and 60° N from 1950 to 2021 from the ERA5 reanalysis. This shows huge variability in some seasons and very little in others. We provide evidence that high‐level observations, radiosonde and satellite, are more important during the extended winter season with its very large variability ...
Bruce Ingleby, Inna Polichtchouk
wiley   +1 more source

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