Results 171 to 180 of about 3,437,660 (362)

Exploration of the use of short‐wave infrared radiances in weather forecasts: Part I. Methodologies for bias correction and quality control

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Methodologies have been developed to bias correct and quality control short‐wave infrared radiance simulation from the community radiative transfer model. Evaluations show that the bias correction and quality control minimize the day/night discrepancies in observation minus background bias over different seasons, satellite zenith angles, and latitudes.
Zhenglong Li   +7 more
wiley   +1 more source

A climatology of trapped lee waves over Britain and Ireland obtained using deep learning on high‐resolution model output

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
This article presents a climatology of trapped lee waves over Britain and Ireland using machine‐learning techniques applied to high‐resolution model output driven by reanalysis data. This climatology builds on previous work and is much more comprehensive and covers a longer time period than previous studies.
Jonathan Coney   +6 more
wiley   +1 more source

A vertical‐slice frontogenesis test case for compressible non‐hydrostatic dynamical cores of atmospheric models

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Our article presents a new vertical‐slice test case for benchmarking atmospheric dynamical cores. The test case is based on the Eady frontogenesis problem, producing sharp fronts that provide a challenge for numerical models. This was not previously possible in a 2D vertical‐slice configuration unless the model is incompressible, so our test case ...
Hiroe Yamazaki, Colin J. Cotter
wiley   +1 more source

The importance of the timing of anchor observations in 4D variational bias correction: Theory and idealised experiments

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The successful assimilation of radiance data in modern numerical weather prediction relies heavily on the correction of radiance biases through the use of VarBC. We introduce a new theory that explains how a network of unbiased “anchor” observations can help mitigate the impact of model biases in VarBC.
Alison M. Fowler   +4 more
wiley   +1 more source

Atlantic–Pacific winter warming as an early indicator of major hurricane activity over the North Atlantic

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Using February sea surface temperature (SST) anomalies in the Atlantic and North Pacific, this study identifies key early predictors for seasonal major hurricane frequency in the North Atlantic. These patterns, derived from Causal‐Effect Networks (CENs), enable accurate forecasts by March, months before the hurricane season peak.
Beata Latos   +3 more
wiley   +1 more source

Effects of the urban land use on a severe convective windstorm

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Numerical simulations with the Weather Research and Forecasting model coupled with the Building Effect Parametrization–Building Energy Model multilayer canopy model were conducted to investigate the impact of urban land use on a severe convective windstorm in Milan, northern Italy, on July 25, 2023.
Francesco De Martin   +2 more
wiley   +1 more source

Analysis and critical assessment of the current and near future plans of the Brazilian satellite applications program and its role in the global space program [PDF]

open access: yes
Brazilian programs using satellites for remote sensing, meteorology and communications are analyzed including their current status and near future plans. The experience gained and available information are used to critically discuss some aspects of great
Parada, N. D. J.
core   +1 more source

Evaluating machine‐learning models for wind‐speed downscaling from ECMWF‐IFS data

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We benchmark recent machine‐learning methods for downscaling wind speeds from a low‐resolution 9‐km model input to 1‐km predictions. We include recent super‐resolution approaches and transformer‐based architectures and propose Windflow‐SRnet. The models are trained with input data from the ECMWF‐IFS numerical weather model to predict label data from ...
William Ericson   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy