Results 101 to 110 of about 4,214 (208)

The non‐hydrostatic option of the ECMWF global weather forecast model: Improvements for kilometre‐scale modelling

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study presents improvements to the non‐hydrostatic version of the European Centre for Medium‐Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS), enabling stable global simulations at 1.4‐km resolution. A systematic comparison with the hydrostatic version at resolutions from 9 to 1.4 km shows that non‐hydrostatic effects emerge in ...
Jozef Vivoda, Inna Polichtchouk, Michail Diamantakis, Filip Váňa   +3 more
wiley   +1 more source

One-dimensional compression behavior of calcareous sand cemented with EICP and coir fiber. [PDF]

Sci Rep
Jiang X, Wang H, Yang H, Yin J, Shen B.
europepmc   +1 more source

Parameter investigation for urban surface‐energy balance: A large‐eddy simulation study

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Large eddy simulation modelling is used to investigate the variation in surface‐energy balance (SEB) across an ensemble of morphometrically identical urban geometries. The geometries have the same plan‐area fraction, vegetated fraction, and frontal‐area index, but are unique in terms of building and green‐space layout.
Christopher E. Wilson, Jonathan K. P. Shonk, Sylvia I. Bohnenstengel, Athanasios Paschalis, Maarten van Reeuwijk   +4 more
wiley   +1 more source

Impact of Air Pollution in Modifying the Relationship Between Climatic Variables and Hand, Foot and Mouth Disease: A Multi-City Time Series Study in Jiangsu Province, China. [PDF]

Geohealth
Liu X, Chen Z, Fan H, Li R, Lou Z, Ji H, Hu J.   +6 more
europepmc   +1 more source

Microphysical chemistry of fog–aerosol interactions over the northwest Atlantic Ocean during Fatima 2022

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Fifteen size‐resolved aerosol samples collected during marine fog, with adjacent ambient observations, show that coarse sea salt aerosol is rapidly grown and lost in the northwest North Atlantic Ocean except when subject to extreme winds. The persistence of fog in the absence of sea salt is determined by available fine‐mode aerosol, where greater ...
Leyla Salehpoor, Leigh R. Crilley, Gianina Giacosa, Lauren Robinson, Rachel Y. W. Chang, David G. Ortiz‐Suslow, Ryan Yamaguchi, Qing Wang, Ed Creegan, Harindra J. S. Fernando, Trevor C. VandenBoer   +10 more
wiley   +1 more source

Fine-tuning large language models for interdisciplinary environmental challenges. [PDF]

Environ Sci Ecotechnol
Zhang Y, Lin S, Xiong Y, Li N, Zhong L, Ding L, Hu Q.   +6 more
europepmc   +1 more source

Feature identification in time series data sets. [PDF]

Heliyon, 2019
Shaw J, Stastna M, Coutino A, Walter RK, Reinhardt E.   +4 more
europepmc   +1 more source

Confronting the Challenge of Modeling Cloud and Precipitation Microphysics. [PDF]

J Adv Model Earth Syst, 2020
Morrison H, van Lier-Walqui M, Fridlind AM, Grabowski WW, Harrington JY, Hoose C, Korolev A, Kumjian MR, Milbrandt JA, Pawlowska H, Posselt DJ, Prat OP, Reimel KJ, Shima SI, van Diedenhoven B, Xue L.   +15 more
europepmc   +1 more source

Recent trends in movement ecology of animals and human mobility. [PDF]

Mov Ecol, 2022
Joo R, Picardi S, Boone ME, Clay TA, Patrick SC, Romero-Romero VS, Basille M.   +6 more
europepmc   +1 more source

Polar‐low track prediction using machine‐learning methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang, Rune Grand Graversen, Filippo Maria Bianchi, Jiping Liu, Ruibo Lei   +4 more
wiley   +1 more source