Results 111 to 120 of about 6,674 (308)
Evaluating anisotropy‐based Monin–Obukhov similarity theory over canopies and complex terrain
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 +3 more
wiley +1 more source
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 +3 more
wiley +1 more source
Forecast‐Error Diagnostics in Neural Weather Models
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan +2 more
wiley +1 more source
The relationship between equatorial wave interaction and heavy rainfall in Southeast Asia
This study examines the statistical relationship between co‐occurring equatorial waves and heavy rainfall in Southeast Asia. Heavy rainfall is more closely related to combined wave activity than to individual waves in many regions of Southeast Asia. The figure shows GPM–IMERG rainfall (shading) and ERA5 850‐hPa winds (vectors) composited on days when ...
Samantha Ferrett +7 more
wiley +1 more source
The gravity wave drag parametrization of the Whole Atmosphere Community Climate Model (WACCM) has been modified to include the wave‐driven atmospheric vertical mixing caused by propagating, non‐breaking, gravity waves.
Maria‐Vittoria Guarino +8 more
doaj +1 more source
Epistemic and aleatoric uncertainty quantification in weather and climate models
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 +1 more
wiley +1 more source
This article provides a first evaluation of land‐surface models at the km‐scale resolutions at which they are used in weather and Earth‐system models. At these resolutions, the lateral transfers of water that organize landscapes play an important role in predicting evaporation correctly. Riparian processes and human water management for irrigation need
Jan Polcher +13 more
wiley +1 more source
Realistic Simulation of Tropical Atmospheric Gravity Waves Using Radar-Observed Precipitation Rate and Echo Top Height. [PDF]
Bramberger M +2 more
europepmc +1 more source
ERA5 hourly 325‐m and 1512‐m (a) convergence and (b) vertical motion (actually pressure change with sign reversed to compare with convergence) over Sable Island around the time of an event. The mist (green) and fog (red) occurrences at the surface station are shown at the bottom of the figures. A 325‐m fitted line convergence was positive for the first
Clive E. Dorman +8 more
wiley +1 more source
MHD mode conversion of fast and slow magnetoacoustic waves in the solar corona
There are three main wave types present in the Sun’s atmosphere: Alfvén waves and fast and slow magnetoacoustic waves. Alfvén waves are purely magnetic and would not exist if it was not for the Sun’s magnetic field.
McDougall-Bagnall, A. M. Dee
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