Results 41 to 50 of about 1,457 (128)

Changes of Long‐Term Exposure to Ultrafine Particles From 2010 to 2019 in High Income Countries in Relation to Cardiovascular Diseases

GeoHealth, Volume 10, Issue 7, July 2026.
Abstract Ultrafine particles (UFPs) are ubiquitous in the atmosphere and occur at high number concentrations. Despite their ability to penetrate deep into the respiratory system, their harmfulness remains insufficiently studied, primarily due to the lack of reliable standardised and harmonized long‐term global exposure data.
F. Costabile, T. Economou, P. Georgiades, J. Lelieveld, T. Münzel, O. Hahad, A. Daiber, A. Pozzer   +7 more
wiley   +1 more source

Derivation of Shortwave Radiometric Adjustments for SNPP and NOAA-20 VIIRS for the NASA MODIS-VIIRS Continuity Cloud Products

Remote Sensing, 2020
Climate studies, including trend detection and other time series analyses, necessarily require stable, well-characterized and long-term data records.
Kerry Meyer, Steven Platnick, Robert Holz, Steve Dutcher, Greg Quinn, Fred Nagle   +5 more
doaj   +1 more source

On the Variability of the Agulhas Bank Circulation

Journal of Geophysical Research: Oceans, Volume 131, Issue 7, July 2026.
Abstract This modeling study investigates the variability of the Agulhas Bank (AB) circulation, focusing on its connections to the local wind forcing and the Agulhas Current (AC) as well as to teleconnections to the tropical South Atlantic. The mean AB circulation is dominated by a westward flow composed of a coastal jet, an outer‐shelf flow influenced
V. Combes, R. P. Matano
wiley   +1 more source

A Novel Ice Cloud Optical Property Model for Passive and Active Remote Sensing Applications

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 12, 28 June 2026.
Abstract A new broad‐spectrum ice cloud optical property model, namely the Passive‐Active Remote Sensing Consistent (PARSC) model, is developed to achieve consistency between passive and active sensor‐based ocean‐occurring ice cloud property retrievals.
J. Coy, P. Yang, K. Meyer, J. Riedi, X. Liu   +4 more
wiley   +1 more source

Contributions of Operational Satellites in Monitoring the Catastrophic Floodwaters Due to Hurricane Harvey

Remote Sensing, 2018
Hurricane Harvey made landfall as a Category-4 storm in the United States on 25 August 2017 in Texas, causing catastrophic flooding in the Houston metropolitan area and resulting in a total economic loss estimated to be about $125 billion.
Mitchell D. Goldberg, Sanmei Li, Steven Goodman, Dan Lindsey, Bill Sjoberg, Donglian Sun   +5 more
doaj   +1 more source

Application and Evaluation of a NOAA GFS‐Driven Air Quality Model Using CMAQv5.4 and High‐Resolution Emissions: FIREX‐AQ 2019

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 9, 16 May 2026.
Abstract The National Air Quality Forecast Capability (NAQFC) provides numerical forecasting guidance of air quality up to 72 hr ahead over the United States. In this study, we evaluate the changes in its prediction skills by updating the Community Multiscale Air Quality (CMAQ) modeling system from version 5.3.1 to 5.4 and utilizing a high‐resolution 1‐
Kiarash Farzad, Yang Zhang, Daniel Tong, Siqi Ma, Youhua Tang, Jianping Huang, Patrick C. Campbell, Havala O. T. Pye, Benjamin Murphy, Fanglin Yang, Barry Baker, Daiwen Kang, Bill Hutzell, Golam Sarwar   +13 more
wiley   +1 more source

Geography of Phytomass, Net Primary and Specific Primary Production of Larch Forests Within Eurasia [PDF]

Сибирский лесной журнал, 2014
Statistically significant transcontinental changes of biomass, net primary production (NPP) and specific primary production (SNPP) of all wood fractions and understory layer of larch forests on the territory from the United Kingdom to the Japan and South
V. A. Usoltsev, D. S. Gavrilin, V. P. Chasovskikh, A. V. Bornikov, Yu. V. Noritsina   +4 more
doaj  

Fusing Multi‐ and Hyperspectral Satellite Data for Harmful Algal Bloom Monitoring With Self‐Supervised and Hierarchical Deep Learning

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract We present a self‐supervised machine learning framework for detecting and mapping the severity and speciation of harmful algal blooms (HABs) using multi‐sensor satellite data. By fusing reflectance data from operational polar‐orbiting satellite‐based instruments (VIIRS, MODIS, OLCI, and OCI) with TROPOMI solar‐induced fluorescence (SIF), our ...
Nicholas J. LaHaye, Kelly M. Luis, Michelle M. Gierach   +2 more
wiley   +1 more source

Characterizing Aerosol Modes and Uncertainty in VIIRS Aerosol Optical Depth Retrievals Over Africa Using AERONET

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract Accurate characterization of aerosol optical depth (AOD) uncertainties is critical for air quality assessment, data assimilation (DA), and environmental studies. In this study, we evaluate two sets of AOD products retrieved from Suomi‐NPP VIIRS over Africa.
Shima Bahramvash‐Shams, Robert C. Levy, Rajesh Kumar, Helen Worden, Pieternel F. Levelt   +4 more
wiley   +1 more source

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