Results 201 to 210 of about 1,814,299 (311)
Compound drivers of Antarctic sea ice loss and Southern Ocean destratification. [PDF]
Narayanan A +8 more
europepmc +1 more source
Propagation of the Madden-Julian oscillation as a deterministic chaotic phenomenon. [PDF]
Takasuka D +3 more
europepmc +1 more source
Wildlife mortality investigations are important toward understanding health threats to wildlife and management considerations. The who, what, why and how are critical pieces of these investigations. Wildlife pathologists play a central role in this process in elucidating causes and contributors to mortality. Abstract To effectively recognize and manage
Nicole M. Nemeth
wiley +1 more source
Operational tropical cyclone forecasting with AI. [PDF]
Alet F +31 more
europepmc +1 more source
An interactive X‐ray absorption spectroscopy (XAS) simulation/fitting platform for atomic 3D structure characterization integrates machine‐learning‐driven XAS simulation, 3D structure visualization and editing, and experimental XAS fitting into one unity for fast and user‐friendly analysis.We present XAS3DLive, an integrated platform for X‐ray ...
Xueqi Song, Haodong Yao, Haifeng Zhao
wiley +1 more source
Global stalled tropical cyclones in a changing climate. [PDF]
Deng Z +4 more
europepmc +1 more source
Using Structure‐from‐Motion photogrammetry in a longitudinal study, we show that although coral reef habitat complexity had declined significantly by the end of the most prolonged tropical marine heatwave on record, no further losses were detected and 3 years later the reef had begun to recover this critical ecosystem function.
Kevin A. Bruce +4 more
wiley +1 more source
Records of compass heading for long-distance ocean migrators show mid-ocean reorientation. [PDF]
Hays GC +8 more
europepmc +1 more source
Graph‐Laplacian modeling of spatiotemporal effects for house price estimation
Abstract Many variables involve the modeling of spatial effects, and their dynamics over time. This article presents a linear model in which spatiotemporal random effects are modeled by graph‐Laplacians. A graph‐Laplacian flexibly encodes adjacency in both space and time, in our case not depending on unknown parameters. The graph‐Laplacian can be input
Willem P Sijp, Marc K. Francke
wiley +1 more source

