Results 41 to 50 of about 1,778 (188)

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

Permafrost 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, Philip P. Bonnaventure, Nick C. Noad, Madeleine C. Garibaldi, Rabecca Thiessen, Will Kochtitzky   +5 more
wiley   +1 more source

Evaluating the realism of double moment parameterised particle size distributions in a midlatitude frontal ice cloud with complex microphysics

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Uncertainties in the representation of ice particle size distributions (PSDs) cause inaccuracies in parameterisations of clouds. In this study, observed PSDs from a midlatitude frontal case study are compared with gamma PSDs with the same concentration and ice water content.
Rosie M. Mammatt, Christopher D. Westbrook, Jonathan Crosier, Karina McCusker   +3 more
wiley   +1 more source

Assessing CLUBB PDF Closure Assumptions for a Continental Shallow‐to‐Deep Convective Transition Case Over Multiple Spatial Scales

Journal of Advances in Modeling Earth Systems, 2020
Assumed‐PDF (probability density function) higher‐order turbulence closures (APHOCs) are now widely used for parameterizing boundary layer turbulence and shallow convection in Earth system models (ESMs). A better understanding of the resolution‐dependent
Meng Huang, Heng Xiao, Minghuai Wang, Jerome D. Fast   +3 more
doaj   +1 more source

Evaluating anisotropy‐based Monin–Obukhov similarity theory over canopies and complex terrain

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study shows that an anisotropy‐based generalization of Monin–Obukhov surface‐layer scaling (SC23) applies readily across a wide range of atmospheric conditions with variable terrain, canopies, and land‐cover complexity. This work focuses on the scaling of velocity variances for 7 years at the 47 sites in the National Ecological Observation Network
Tyler S. Waterman, Ivana Stiperski, Nathaniel Chaney, Marc Calaf   +3 more
wiley   +1 more source

The benefits of a hybrid‐3DEnVar data assimilation scheme for the convection‐permitting NWP model AROME–Austria

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The climatological‐error covariance matrix used in three‐dimensional variational data assimilation (3DVar) provides smooth and isotropic increments spread to long distances. In contrast, three‐dimensional ensemble variational data assimilation (3DEnVar) with a purely ensemble‐error covariance matrix provides inhomogeneous increments and contains the ...
Kaushambi Jyoti, Philipp Griewank, Florian Meier, Martin Weissmann   +3 more
wiley   +1 more source

Epistemic and aleatoric uncertainty quantification in weather and climate models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield, Hannah M. Christensen   +1 more
wiley   +1 more source

Convective Quasi-Equilibrium Reconsidered

Journal of Advances in Modeling Earth Systems, 2011
The hypothesis of convective quasi-equilibrium states that moist convection reacts almost instantly to drive the atmospheric temperature profile throughout the troposphere to one of a special subset of possible profiles.
David J Raymond, Michael J Herman
doaj   +1 more source

Ensemble reliability and the signal‐to‐noise paradox in ECMWF subseasonal forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We derive a general expression for the ratio of predictable components (RPC) in terms of correlation, spread–error ratio, and total variance ratio. Physical constraints on the admissible solutions (i.e., real‐valued and non‐negative variances) provide a mechanism to identify statistically paradoxical sample combinations of reliability and correlation ...
Christopher D. Roberts, Frederic Vitart
wiley   +1 more source

Numerical simulation and physical understanding of a locally initiated sea fog event over the eastern Yellow Sea with a transition of air–sea temperature difference

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Unexpected sea fog in the west coast of South Korea had a huge impact on the transportations in the Seoul–Incheon metropolitan area. We reproduced successfully the formation and evolution of a sea event with a transition of air–sea temperature difference using the Weather Research and Forecasting model.
Jeonghoe Kim, Jung‐Hoon Kim, Clive E. Dorman, Harindra J. S. Fernando   +3 more
wiley   +1 more source

Using Machine Learning to Parameterize Moist Convection: Potential for Modeling of Climate, Climate Change, and Extreme Events

Journal of Advances in Modeling Earth Systems, 2018
The parameterization of moist convection contributes to uncertainty in climate modeling and numerical weather prediction. Machine learning (ML) can be used to learn new parameterizations directly from high‐resolution model output, but it remains poorly ...
Paul A. O'Gorman, John G. Dwyer
doaj   +1 more source