Results 231 to 240 of about 117,250 (270)

Machine Learning‐Based Correction of Reanalysis Surface Radiation Fluxes Using Ground‐Measured Data in the Southern Brazilian Pampa Biome

open access: yesInternational Journal of Climatology, EarlyView.
This study demonstrates that ERA5 provides more accurate surface radiation flux estimates than MERRA2 across the Southern Brazilian Pampa. Machine learning models, particularly Random Forest, further improved the precision of reanalysis data for climate applications.
Olusola Samuel Ojo   +5 more
wiley   +1 more source

From Rare to Recurrent: Intensifying Hot–Dry Extremes Across Romania

open access: yesInternational Journal of Climatology, EarlyView.
Romania has undergone a marked shift toward more frequent and spatially extensive compound hot–dry months since the 1990s, with persistent hotspots in the eastern Moldavian Plateau and the lower Danube–Bărăgan–Black Sea lowlands and comparatively buffered conditions at higher elevations.
Viorica Nagavciuc, Monica Ionita
wiley   +1 more source

Excited scalar and pseudoscalar mesons in the extended linear sigma model. [PDF]

open access: yesEur Phys J C Part Fields, 2017
Parganlija D, Giacosa F.
europepmc   +1 more source

ERA5 Can Overstate Changes in the Frequency of Extreme Heat: A New Zealand Case Study

open access: yesInternational Journal of Climatology, EarlyView.
ERA5 reproduces broad patterns of summer warming across New Zealand but underestimates temperature variability and warm‐tail extremes, biasing estimates of extreme heat risk. ABSTRACT Summertime temperature extremes exert profound impacts on human health, ecosystems, and infrastructure, yet their characteristics and drivers remain poorly quantified in ...
Sayed Waseem Iqbal   +2 more
wiley   +1 more source

The waning of the WIMP: endgame? [PDF]

open access: yesEur Phys J C Part Fields
Arcadi G   +9 more
europepmc   +1 more source

Dipole operator constraints on composite Higgs models. [PDF]

open access: yesEur Phys J C Part Fields, 2014
König M, Neubert M, Straub DM.
europepmc   +1 more source

Uninformed consent

open access: yes
Journal of Hospital Medicine, EarlyView.
John Talia
wiley   +1 more source

Raman Spectroscopy and Generative Variational Autoencoders for Metallurgical Coke Quality Prediction

open access: yesJournal of Raman Spectroscopy, EarlyView.
An integrated soft sensor framework combining standardized Raman spectroscopy, synergy‐vector feature selection, variational autoencoder‐based data augmentation, and regression models (kNN, PLS, and SVR) predicts metallurgical coke quality (CSR and DI).
Pedro Henrique Agrimpio Coutinho   +2 more
wiley   +1 more source

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