Results 91 to 100 of about 17,970 (234)

Larval Arctic cod (Boreogadus saida) exhibit stronger developmental and physiological responses to temperature than to elevated pCO2

Journal of Fish Biology, EarlyView.
Abstract High‐latitude ecosystems are simultaneously warming and acidifying under ongoing climate change. Arctic cod (Boreogadus saida) are a key species in the Arctic Ocean and have demonstrated sensitivity to ocean warming and acidification as adults and embryos, but their larval sensitivity to the combined stressors is unknown. In a laboratory multi‐
Emily Slesinger, Louise A. Copeman, Benjamin J. Laurel, Mary Beth R. Hicks, Paul J. Iseri, Michelle A. Stowell, Thomas P. Hurst   +6 more
wiley   +1 more source

Application of routine Mehlich‐3 and EC ratio tests for salinity and sodicity management in Delmarva coastal croplands

Crop, Forage &Turfgrass Management, Volume 12, Issue 1, June 2026.
Abstract The Delmarva Peninsula in the Eastern United States faces growing threats from saltwater intrusion, necessitating accurate and timely salinity diagnostics to reduce crop productivity losses. The globally recognized saturated paste (SP) extraction method, which yields critical measures, including electrical conductivity (ECe), is labor ...
Sapana Pokhrel, Jarrod O. Miller, Amy L. Shober, Willow Blew   +3 more
wiley   +1 more source

Pathways to Better Prediction of the MJO: 1. Effects of Model Resolution and Moist Physics on Atmospheric Boundary Layer and Precipitation

Journal of Advances in Modeling Earth Systems, 2022
Despite recent advancements in numerical models, prediction of the Madden‐Julian Oscillation (MJO) remains a major challenge in numerical weather prediction and climate modeling.
Ajda Savarin, Shuyi S. Chen
doaj   +1 more source

Multidimensional Distributional Neural Network Output Demonstrated in Super‐Resolution of Surface Wind Speed

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Accurate quantification of uncertainty in neural network predictions remains a central challenge for scientific applications involving high‐dimensional, correlated data. While existing methods capture either aleatoric or epistemic uncertainty, few offer closed‐form, multidimensional distributions that preserve spatial correlation while ...
Harrison J. Goldwyn, Mitchell Krock, Johann Rudi, Daniel Getter, Julie Bessac   +4 more
wiley   +1 more source

The Role of the Stratosphere in Teleconnections Arising From Fast and Slow MJO Episodes

Geophysical Research Letters
The Madden‐Julian Oscillation (MJO) can influence the extratropical circulation on timescales up to several weeks, with a dependence on the MJO characteristics: MJO episodes that propagate slowly across the Maritime Continent have a stronger impact on ...
Priyanka Yadav, Chaim I. Garfinkel, Daniela I. V. Domeisen   +2 more
doaj   +1 more source

Climate change and the Madden‐Julian Oscillation: A vertically resolved weak temperature gradient analysis

Journal of Advances in Modeling Earth Systems, 2017
WTG balance is used to examine how changes in the moist thermodynamic structure of the tropics affect the MJO in two simulations of the Superparameterized Community Earth System Model (SP‐CESM), one at preindustrial (PI) levels of CO2 and one where CO2 ...
Brandon O. Wolding, Eric D. Maloney, Stephanie Henderson, Mark Branson   +3 more
doaj   +1 more source

Propagation of the Madden–Julian Oscillation and scale interaction with the diurnal cycle in a high-resolution GCM [PDF]

, 2015
The Madden–Julian Oscillation (MJO) is the chief source of tropical intra-seasonal variability, but is simulated poorly by most state-of-the-art GCMs. Common errors include a lack of eastward propagation at the correct frequency and zonal extent, and too
A Slingo, Adrian J. Matthews, AE Gill, AJ Matthews, AJ Matthews, AJ Matthews, B Wang, BS Love, C Zhang, CK Teo, D Gregory, David P. Stevens, GJ Huffman, GM Martin, GN Kiladis, GR North, H Seo, HH Hendon, HH Hsu, J Simpson, JC Collier, JH Qian, JL Lin, K Kikuchi, KE Taylor, KH Seo, LC Shaffrey, M Biasutti, M Hara, M Kanamitsu, MA Ringer, MC Wheeler, MC Wheeler, MP Hung, NP Klingaman, NP Klingaman, R Neale, RA Madden, RA Madden, RA Madden, RH Moss, SC Peatman, Simon C. Peatman, SJ Woolnough, T Crueger, T Matsuno, WC Chao, Y Li   +47 more
core   +1 more source

Mesoscale and Submesoscale Variability in the Indian Ocean

Reviews of Geophysics, Volume 64, Issue 2, June 2026.
Abstract Material transport and air‐sea coupling dynamics associated with monsoon‐related mesoscale and submesoscale processes in the Indian Ocean significantly modulate biogeochemical cycles, the large‐scale energy balance, and both regional and global climate change.
Lei Zhou, Dongxiao Wang, Xuhua Cheng, Lixin Qu, Yun Qiu, Fuan Xiao, Lin Wang, Qiaoyan Wu, Xiaoyi Yang, Zhigang Lai, Danian Liu, Hui Zhao, Lin Liu, Ke Huang, Jianhuang Qin, Baosheng Li, Guangli Zhang, Chunhua Qiu, Haibo Tang, Huaming Huang   +19 more
wiley   +1 more source

Efficacy and Safety of Fixed‐Dose Combinations of Sitagliptin and Empagliflozin as Add‐On to Metformin in Korean Patients With Type 2 Diabetes: A Randomised, Double‐Blind, Multi‐Centre, Placebo‐Controlled, Phase III Trial

Diabetes, Obesity and Metabolism, Volume 28, Issue 6, Page 4847-4859, June 2026.
ABSTRACT Background Type 2 diabetes mellitus (T2DM) is a progressive, multi‐organ disorder that often requires intensive combination therapy. This Phase III, randomised, double‐blind, placebo‐controlled study evaluated the efficacy and safety of two fixed‐dose combinations (FDCs) of sitagliptin 100 mg with empagliflozin 10 mg (DW1026C1) or ...
Soo Lim, Tae Nyun Kim, Ji Oh Mok, Choon Hee Chung, You Cheol Hwang, Ho Chan Cho, Jong Chul Won, Eonju Jeon, Eun Seok Kang, Ki Young Lee, Chong Hwa Kim, Soo Heon Kwak, Cheol Young Park, Kang Seo Park, Sang Yong Kim, Jae Hyuk Lee, Soon Hee Lee, Dong Hyeok Cho, Hyuk‐Sang Kwon, Kyung Ah Han   +19 more
wiley   +1 more source

AI For Whom? Participation, Power and Educational Pathways in the Age of Artificial Intelligence

European Journal of Education, Volume 61, Issue 2, June 2026.
ABSTRACT For four decades, discourses on digital divides have shaped engagement with societal transformation processes in the context of digitality. With the rapid development of AI technologies, these disparities are manifesting in an emerging “AI Divide” that not only reproduces existing social inequalities but potentially amplifies them.
Daniel Autenrieth, Jan‐René Schluchter, Lea Schulz   +2 more
wiley   +1 more source