Results 231 to 240 of about 25,752 (301)

Optimized MaxEnt modeling predicts the distribution change of <i>Chaenomeles</i> sp<i>eciosa</i> (Sweet) Nakai in China under global climate change. [PDF]

Front Plant Sci
Shen H, Sun S, Cheng Y, Rohani ER, Fang Q, Han R, Tong X.   +6 more
europepmc   +1 more source

Measuring Growth Spillovers

Oxford Bulletin of Economics and Statistics, Volume 88, Issue 2, Page 213-225, April 2026.
ABSTRACT We propose a multilevel econometric model with time‐varying spillover parameters that disentangle within‐country from between‐country growth spillovers. Parameter estimation is carried out by the method of maximum likelihood. The finite‐sample properties of the resulting estimates are validated through a Monte Carlo study.
F. Blasques, P. Gorgi, S. J. Koopman, J. Sampi   +3 more
wiley   +1 more source

Predicting the burden of co-infections in seasonally driven dynamics of pediatric rotavirus and norovirus. [PDF]

Infect Dis Model
Ain MQ, Peace A.
europepmc   +1 more source

How hot is too hot for people? A review of empirical models of perceptual, physiological and functional limits of human heat tolerance

Experimental Physiology, Volume 111, Issue 4, Page 1669-1686, 1 April 2026.
Abstract How hot is too hot for people? This is a question that human thermal physiologists are asked often by a variety of knowledge users across the public and private sectors, who have grown aware of the negative impact of global warming on people's health and quality of life.
Davide Filingeri, Nuno Koch Esteves
wiley   +1 more source

Drivers and metacommunity perspective of differences in regional species richness between main chironomid taxa inhabiting temperate zone rivers. [PDF]

Sci Rep
Głowacki Ł, Leszczyńska J, Dukowska M.   +2 more
europepmc   +1 more source

Physics‐Constrained Network for Enhanced Extended‐Range Precipitation Forecasting in East Asia

Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract The complex summer weather in East Asia poses significant challenges of precipitation forecasting. Despite the promising capabilities of deep learning models in conventional forecasting tasks, their black‐box nature limits physical interpretability.
Yudan Wang, Huimin Chen, Hao Wu, Jane Liu, Huiling Yuan, Shuya Cao, Tijian Wang, Bingliang Zhuang   +7 more
wiley   +1 more source

Seasonally specific model analysis of UK cereals prices [PDF]

John Lingard, Philip Kostov
core   +2 more sources

Data‐Driven Probabilistic Air‐Sea Flux Parameterization

Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract Accurately quantifying air‐sea fluxes is important for understanding air‐sea interactions and improving coupled weather and climate models. This study introduces a probabilistic framework to represent the highly variable nature of air‐sea fluxes, which is missing in deterministic bulk algorithms.
Jiarong Wu, Pavel Perezhogin, David John Gagne, Brandon G. Reichl, Aneesh C. Subramanian, Elizabeth J. Thompson, Laure Zanna   +6 more
wiley   +1 more source

Propagation of the Madden-Julian oscillation as a deterministic chaotic phenomenon. [PDF]

Sci Adv
Takasuka D, Suematsu T, Miura H, Nakano M.   +3 more
europepmc   +1 more source

Assessing Subseasonal Predictions of Stratosphere‐Troposphere Coupling of GraphCast

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 6, 28 March 2026.
Abstract The rapid development of artificial intelligence weather forecasting models (AIWFMs) has revolutionized weather prediction. GraphCast, a leading AIWFM, outperforms state‐of‐the‐art physics‐based numerical models at the surface and in the lower troposphere.
Zheng Wu
wiley   +1 more source