Results 191 to 200 of about 237,968 (300)

The Imprint of Southern Ocean Storms on Modeled Surface Chlorophyll, Their Drivers and Satellite Biases

Global Biogeochemical Cycles, Volume 39, Issue 7, July 2025.
Abstract Southern Ocean (SO) phytoplankton chlorophyll is highly variable on sub‐seasonal time scales. Although the SO is the windiest ocean basin globally, it is not conclusively understood how storms impact SO phytoplankton dynamics. Much of our existing knowledge stems from satellites, but biases due to data gaps from cloud cover and low solar ...
Cara Nissen, Genevieve L. Clow, Nicole S. Lovenduski, Katherine E. Turner, Magdalena M. Carranza, Kristen M. Krumhardt   +5 more
wiley   +1 more source

Medical image segmentation by combining feature enhancement Swin Transformer and UperNet. [PDF]

Sci Rep
Zhang L, Yin X, Liu X, Liu Z.
europepmc   +1 more source

Thrive or Wither: Exploring the Impacts of Multiyear Droughts on Vegetation

Journal of Geophysical Research: Biogeosciences, Volume 130, Issue 7, July 2025.
Abstract Multiyear droughts (MYDs), droughts lasting over a year, can have devastating effects on vegetation. Due to climate change, MYDs are expected to become more frequent and intense, making it crucial to assess and understand their impact on vegetation.
Denise Ruijsch, Jonna van Mourik, Hester Biemans, Sandra Margrit Hauswirth, Niko Wanders   +4 more
wiley   +1 more source

Revealing new depths of information with indentation mapping of microstructures. [PDF]

MRS Bull
Rossi E, Tromas C, Liu Z, Zou Y, Wheeler JM.   +4 more
europepmc   +1 more source

Sensitivity of Precipitation Forecast Skill Scores to Bilinear Interpolation and a Simple Nearest-Neighbor Average Method on High-Resolution Verification Grids

, 2003
Christophe Accadia, Stefano Mariani, M. Casaioli, A. Lavagnini, A. Speranza   +4 more
openalex   +1 more source

Enhanced Global Ionospheric Mapping Using Deep Ensemble Neural Networks With Uncertainty Quantification

Space Weather, Volume 23, Issue 7, July 2025.
Abstract Global ionospheric mapping is essential for ionospheric research. However, conventional approaches often struggle to accurately capture small‐scale ionospheric variations. This study proposes a deep ensemble method based on neural networks (NNs) that generates high‐accuracy global vertical total electron content (VTEC) maps along with ...
Shuyin Mao, Yuanxin Pan, Grzegorz Kłopotek, Matthias Schartner, Hana Krásná, Aletha de Witt, Benedikt Soja   +6 more
wiley   +1 more source

Automatic identification and characteristics analysis of crack tips in rocks with prefabricated defects based on deep learning methods. [PDF]

PLoS One
Gao M, Li M, Chen L, Guo Z, Guo C, Li L, Bu C.   +6 more
europepmc   +1 more source

Interpolation of the measure of non-compactness of bilinear operators among quasi-Banach spaces

Journal of Approximation Theory, 2019
Blanca F. Besoy, F. Cobos
semanticscholar   +1 more source

Dimensionality Reduction in Full‐Waveform Inversion Uncertainty Analysis

Geophysical Prospecting, Volume 73, Issue 6, July 2025.
ABSTRACT The uncertainty of model parameters obtained by full‐waveform inversion can be determined from the Hessian of the least‐squares error functional. A description of uncertainty characterisation is presented that takes the null space of the Hessian into account and does not rely on the Bayesian formulation.
W. A. Mulder, B. N. Kuvshinov
wiley   +1 more source

CNN-Transformer gated fusion network for medical image super-resolution. [PDF]

Sci Rep
Qin J, Xiong J, Liang Z.
europepmc   +1 more source