Results 161 to 170 of about 63,736 (296)

Using Machine Learning to Uncover Ecological Mechanisms Controlling Abundance of Phytoplankton Size Classes From Large‐Scale Observations

Global Biogeochemical Cycles, Volume 40, Issue 4, April 2026.
Abstract Phytoplankton size classes (PSCs) and Phytoplankton functional types (PFTs) determine many fundamental biogeochemical processes including nutrient uptake, energy transfer through marine food webs, ocean carbon export, and gas exchange with the atmosphere. Discerning the causes of spatio‐temporal variability of PSCs is a scientific priority for
Sandupal Dutta, Anand Gnanadesikan
wiley   +1 more source

New Homogeneous Spatial Areas Identified Using Case-Crossover Spatial Lag Grid Differences between Aerosol Optical Depth-PM_2.5 and Respiratory-Cardiovascular Emergency Department Visits and Hospitalizations. [PDF]

Atmosphere (Basel), 2022
Braggio JT, Hall ES, Weber SA, Huff AK.
europepmc   +1 more source

Reassessing Global Atmospheric Flux of Dissolved Inorganic Phosphorus With Machine Learning and Earth System Model Outputs

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Atmospheric deposition of dissolved inorganic phosphorus (DIP) is crucial to nutrient cycling but remains poorly constrained in chemical transport models (CTMs). Large uncertainties in phosphorus emissions and aerosol dissolution processes challenge the reliable estimates of DIP fluxes.
Hongxuan Jiang, Mingxu Liu, Orfeas Karathanasopoulos, Stelios Myriokefalitakis   +3 more
wiley   +1 more source

Downscaling Microwave‐Based Evapotranspiration With a Fourier‐Supervised Multi‐Source Fusion Network in Central‐Southern East Asia

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Evapotranspiration (ET) is a critical component of the land‐atmosphere energy and water cycle. Satellite remote sensing has proven to be highly effective for large‐scale ET estimation across heterogeneous landscapes, but producing high‐resolution, all‐weather ET remains difficult.
Haoyang Li, Dong Li, Yipu Wang, Qingyang Liu, Jiheng Hu, Binbin Song, Shengli Wu, Peng Zhang, Danfeng Hong, Rui Li   +9 more
wiley   +1 more source

Relative Humidity Influences Aureobasidium pullulans Degradation of Polyester Polyurethane Foam

Environmental Microbiology Reports, Volume 18, Issue 2, April 2026.
The plant pathogen Aureobasidium pullulans' ability to degrade polyurethane foam is impacted by Equilibrium Relative Humidity (ERH). These impacts can be observed through foam weight loss, scanning electron microscopy (SEM), fungal growth, and cutinase gene expression.
Amanda Stickney, Nicole Renninger, Dominique Wagner, John Van Dusen, Victor A. Roman, Vanessa Varaljay, Blake W. Stamps, Nancy Kelley‐Loughnane, Karen C. Dannemiller   +8 more
wiley   +1 more source

Estimating Net Sediment Fluxes in Tidal Systems Using Sporadic Data Sets: Implications for Using Remote Sensing to Assess Saltmarsh Resilience

Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract Sediment budgets are diagnostic of saltmarsh resilience, yet quantifying net sediment fluxes remains constrained by limited, asynchronous observations of suspended sediment concentration (SSC) and water flux. Using high‐frequency observations from 15 U.S.
Hangjie Lin, Jordi Palacios, Sergio Fagherazzi, Cédric G. Fichot   +3 more
wiley   +1 more source

Determining the environmental and atmospheric effects of coronavirus disease 2019 (COVID-19) quarantining by studying the total aerosol optical depth, black carbon, organic matter, and sulfate in Blida City of Algeria. [PDF]

Glob Health J, 2021
Zhang Y, Chabane F, Arif A.
europepmc   +1 more source

Measurement of Aerosols at the Pierre Auger Observatory

, 2007
The air fluorescence detectors (FDs) of the Pierre Auger Observatory are vital for the determination of the air shower energy scale. To compensate for variations in atmospheric conditions that affect the energy measurement, the Observatory operates an ...
A. FILIPˇC IˇC, A. GRILLO, A. TONACHINI, B. FICK, B. GARC´IA, B.M. CONNOLLY, C. MACOLINO, D. MELO, D. RODR´I GUEZ-FR´I AS, D. VERBERIˇC, D. ZAVRTANIK, E. VISBAL, F. ARQUEROS, F. GUARINO, F. SALAMIDA, FOR THE PIERRE AUGER COLLABORATION, G. SEQUEIROS, J. MATTHEWS, J. PALLOTTA, J.A.J. MATTHEWS, J.R. RODRIGUEZ ROJO, L. VALORE, L. WIENCKE, M. CHIOSSO, M. HORVAT, M. IARLORI, M. MALEK, M. MICHELETTI, M. MONASOR, M. MOSTAF´A, M. PROUZA, M. ROBERTS, M. SANTANDER, M. ZAVRTANIK, P. SOMMERS, R. CESTER, R. MEYHANDAN, R. MUSSA, S. PETRERA, S. WESTERHOFF, S.Y. BENZVI, V. RIZI   +41 more
core  

Stratospheric Aerosol Particle Size Explains Divergent Limb and Solar Occultation Measurements After the Hunga Eruption

Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract The 2022 Hunga eruption significantly perturbed the stratosphere by injecting substantial water vapor and SO2 ${\text{SO}}_{2}$, drastically changing the Aerosol Optical Depth (AOD) and particle size. Post‐eruption, satellite limb‐scattering retrievals of aerosol extinction from Ozone Mapping and Profiler Suite Limb Profiler (OMPS‐LP) and ...
Cara Remai, Daniel Zawada, Adam Bourassa, Kimberlee Dubé, Alexandre Baron, Kate Smith, Landon Rieger, Douglas Degenstein   +7 more
wiley   +1 more source

Aerosol Optical Depth Prediction Based on Dimension Reduction Methods

Communications for Statistical Applications and Methods, 2023
Jungkyun Lee, Yaeji Lim
openaire   +1 more source