Results 211 to 220 of about 6,450,565 (293)

Enhancing Significant Wave Height Simulations Using Distribution‐Aware Deep Learning and Environmental Predictors

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Numerical wave models are widely used for wave forecasting and hindcast data set construction; however, their outputs frequently exhibit systematic biases stemming from uncertainties in wind forcing, physical parameterizations, and bathymetry. To address this issue, a deep learning–based bias correction approach is applied to significant wave ...
Jiageng Han   +6 more
wiley   +1 more source

A Machine Learning Framework for Retrieving Atmospheric Composition and the Associated Averaging Kernels From a Geostationary Hyperspectral Infrared Sounder

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Geostationary hyperspectral infrared sounders provide hourly observations of the atmospheric composition. However, the conventional optimal estimation method (OEM)‐based retrieval algorithm requires computationally expensive radiative transfer calculations and inverse modeling, making it difficult to monitor in real time. This study presents a
Sirui Wu   +4 more
wiley   +1 more source

Improving coastal water level estimation by merging nadir-only satellite altimetry data into a hydrodynamic model. [PDF]

open access: yesEnviron Monit Assess
Bhuiyan SA   +5 more
europepmc   +1 more source

Riverine Flood Forecasting Using Advanced Deep Learning Approaches

open access: yesJAWRA Journal of the American Water Resources Association, Volume 62, Issue 5, October 2026.
ABSTRACT Accurate riverine flood forecasting is crucial for effective river management. This paper utilized the Time‐Series Dense Encoder (TiDE), Neural Hierarchical Interpolation for Time Series Forecasting (N‐HiTS), and Patch Time Series Transformer (PatchTST) to forecast riverine flood and benchmarked their results against Long Short‐Term Memory ...
Krishna Panthi   +2 more
wiley   +1 more source

26 years of mooring data from Olympic Coast National Marine Sanctuary. [PDF]

open access: yesData Brief
Cervantes BT   +5 more
europepmc   +1 more source

Microbial driver of 2006-2023 CH<sub>4</sub> growth indicated by trends in atmospheric δD-CH<sub>4</sub> and δ<sup>13</sup>C-CH<sub>4</sub>. [PDF]

open access: yesProc Natl Acad Sci U S A
Riddell-Young B   +11 more
europepmc   +1 more source

Humpback Highs and Lows Amid Shifting Seas and a Northeast Pacific Marine Heatwave: Whale Demographics in the Main Hawaiian Islands, 2002–2023

open access: yesMarine Mammal Science, Volume 42, Issue 4, October 2026.
ABSTRACT North Pacific humpback whales are a celebrated conservation success, rebounding from extensive commercial whaling. Yet they remain vulnerable to the impacts of climate change, a multifaceted stressor that can exacerbate existing threats. During 2013–2016, a Northeast Pacific marine heatwave severely reduced forage availability in their feeding
S. M. Barber‐Meyer   +28 more
wiley   +1 more source

Insult to Injury: Population Impacts of Sublethal Entanglement and Vessel Strikes of Common Bottlenose Dolphins (Tursiops truncatus) in Barataria Basin, Louisiana, 2011–2023

open access: yesMarine Mammal Science, Volume 42, Issue 4, October 2026.
ABSTRACT Human interactions, specifically fishery entanglements (FI) and vessel strikes (VI), threaten marine mammals, including the Barataria Bay Estuarine System (BBE) Stock of common bottlenose dolphins (Tursiops truncatus). We reviewed whole‐body photographs to estimate the prevalence of sublethal entanglement and vessel strike scars for 227 ...
Eric S. Zolman   +7 more
wiley   +1 more source

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