Observation‐Informed Machine Learning Convective Scheme: A New Training Strategy
Abstract Machine learning (ML)‐based schemes face challenges in online stability and biases because of the accumulated errors during long‐term integrations. Here, we propose a new ML training strategy for the convection process that provides online corrections to tendencies in a more systematic way with significant improvements in stability and bias ...
Junjie Huang +7 more
wiley +1 more source
Investigation of the Correlation between Enterovirus Infection and the Climate Factor Complex Including the Ping-Year Factor and El Niño-Southern Oscillation in Taiwan. [PDF]
Yu HW +5 more
europepmc +1 more source
Abstract Understanding the mechanisms linking low‐latitude monsoon variability and high‐latitude ice‐sheet discharge is critical for elucidating past atmospheric teleconnections, yet direct evidence for such linkages during the last glacial period remains limited. Here we present a high‐resolution terrigenous input record from the South China Sea (SCS)
Haosen Wang +6 more
wiley +1 more source
Holocene Climate Changes: Unraveling Processes, Mechanisms, and Impacts Across Spatiotemporal Scales
Abstract As the most recent interglacial period and the timeframe for the development of human civilization, the Holocene provides a critical perspective for understanding future climate under continued global warming. This special collection focuses on Holocene climate changes and features 14 interdisciplinary studies.
Liangcheng Tan, Hai Xu, Xianfeng Wang
wiley +1 more source
A Dynamical Model of the Tropical Pacific Zonal SST Gradient Change Under Global Warming
Abstract How the tropical Pacific mean‐state sea surface temperature (SST) responds to global warming is an ongoing heated debate, as climate models are flawed and their projections are opposite to the observed zonal gradient strengthening. Here, we build a dynamical tropical Pacific air–sea coupled model that incorporates three key mechanisms of the ...
Jun Ying, Masahiro Watanabe
wiley +1 more source
Quantifying Sources of Subseasonal Prediction Skill in CESM2 Within a Perfect Modeling Framework
Abstract The success of numerical weather prediction depends on accurate atmospheric initialization, but at subseasonal lead times, land and ocean initial states become increasingly important. Predictability on these timescales arises from slowly evolving land surface conditions such as soil moisture and snowpack, convectively coupled waves such as the
Judith Berner +3 more
wiley +1 more source
Incidence of the El Niño-Southern Oscillation Cycle on the Existing Fundamental Niche and Establishment Risk of Some Anastrepha Species (Diptera-Tephritidae) of Horticultural Importance in the Neotropics and Panama. [PDF]
Degracia AB +4 more
europepmc +1 more source
El Niño Events Enhance Melting of Sea Ice in the West of Greenland
Abstract Using reanalysis data sets and numerical simulations, this study investigates the linkage between El Niño events and spring Arctic sea ice melt rate (AMR) in the west of Greenland. The results indicate that the accelerated spring AMR often corresponds to the previous winter's El Niño–like sea surface temperature anomalies.
Xuanwen Zhang +3 more
wiley +1 more source
Distribution of the N2 -fixing cyanobacterium Candidatus Atelocyanobacterium thalassa in the Mexican Pacific upwelling system under two contrasting El Niño Southern Oscillation conditions. [PDF]
Vieyra-Mexicano C, Souza V, Pajares S.
europepmc +1 more source

