Results 71 to 80 of about 471 (203)
Assessment of subgrid-scale models for the incompressible Navier–Stokes equations
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Yan Zhang 0024, Yinnian He
openaire +1 more source
The introduction of adaptive parameter tuning in the numerical weather prediction models of DWD in 2022 substantially improved the forecast quality of near‐surface variables like 2‐m temperature and 2‐m humidity. Since 2023, refinements and extensions, primarily affecting the surface evaporation and its diurnal cycle, have led to further advances ...
Günther Zängl
wiley +1 more source
Abstract Atmospheric wind‐pressure covariances (e.g., vertical wind‐pressure covariance, w′p′‾ $\overline{{w}^{\mathit{\prime }}{p}^{\mathit{\prime }}}$) affect boundary‐layer energetics and pressure‐related corrections, yet their sign and vertical structure are inconsistently reported.
Yanzhao Zhou, Heping Liu, Xin Li
wiley +1 more source
A Deep‐Learning‐Based Wind Gust Estimation Scheme in Complex Terrain
Abstract Accurate prediction of gusts is critical for risk mitigation, but the turbulent processes that generate gusts are unresolved in conventional numerical weather prediction models. Here we introduce a deep‐learning‐based wind gust estimation scheme (DL‐GUST) that uses archived diagnostics from the Weather Research and Forecasting (WRF) model ...
Aiwei Li +6 more
wiley +1 more source
The Role of Lightning in Atmospheric Chemistry
Abstract Lightning has important effects on atmospheric constituents in primarily the middle and upper troposphere. We summarize the effects of lightning on atmospheric chemistry that have been published since the last major review in 2007. The estimates of NOx production by lightning (LNOx) are based on five methods: theoretical/laboratory estimates ...
Kenneth E. Pickering +2 more
wiley +1 more source
Air pollution mapping and variability over five European cities
Mapping urban pollution is essential for assessing population exposure and addressing associated health impacts. High urban concentrations are due to the proximity of sources such as traffic or residential heating, and to urban density with the presence ...
Karine Sartelet +17 more
doaj +1 more source
Gray‐Zone Simulation of the Dry Convective Boundary Layer Using Fourier Neural Operator
Abstract Previous machine learning (ML) weather prediction models primarily focus on global mesoscale forecasting. This study develops three‐dimensional Fourier neural operator (FNO) models for simulating the dry convective boundary layer (CBL) at 800‐m grid spacing, which is a resolution in the gray zone. The filtered large‐eddy simulation data of the
Tengfei Luo +5 more
wiley +1 more source
Abstract Biomass‐burning smoke drives large uncertainty in climate projections of the Earth's radiative balance. This is due to the chemical and physical evolution of smoke and its impact on clouds and radiation. Here we focus on the southeastern Atlantic region and its inflow of African biomass‐burning smoke during August 2017.
Calvin Howes +10 more
wiley +1 more source
Impact of a Stratocumulus Scheme on Clouds and Feedbacks in MIROC7
Abstract Marine stratocumulus (Sc) clouds exert a strong cooling effect on climate by reflecting solar radiation, yet many climate models underestimate their amount and cause uncertainty in equilibrium climate sensitivity (ECS). Herein, we show that incorporating a physically based Sc parameterization into the seventh version of the Model for ...
N. Hirota +6 more
wiley +1 more source
Abstract This study demonstrates the high‐resolution profiling of cloud microphysics in a laboratory chamber using Time‐Correlated Single Photon Counting (TCSPC) LiDAR. We present a novel retrieval method to derive vertical extinction (σ) $(\sigma )$ profiles, constrained by in situ measurements, to diagnose responses to dry‐air entrainment.
Jae Min Yeom +9 more
wiley +1 more source

