Results 21 to 30 of about 27,752,256 (308)

Spatiotemporal analysis of atmospheric aerosols in African environments using MERRA-2 data (1980–2024): Impacts on climate extremes

open access: yesiScience
Summary: This study investigates atmospheric aerosol trends and their climatic impacts across Africa from 1980 to 2024 using MERRA-2 reanalysis data.
Daniel O. Omokpariola
doaj   +1 more source

Statistics in Atmospheric Science

open access: yesStatistical Science, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Atmospheric and Oceanic Computational Science [PDF]

open access: yes, 2009
The first workshop on Atmospheric and Oceanic Computational Science brings together computational and domain scientists who develop computational tools for the study of the atmosphere and oceans. These tools are essential for understanding and prediciting weather, air and water pollution, and the evolution of the planet's climate.
Adrian Sandu   +2 more
openaire   +2 more sources

Discussion and analysis on key words indexing and abstract writing methods of atmospheric science academic papers

open access: yes暴雨灾害, 2021
Random statistics samples of 605 papers in 50 issues including 18 core journals and 15 provincial journals of atmospheric science show that there are about 38% of the key words or abstract writing is not standardized.
Wen DENG, Yishan LIAO, Airong MIN
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

open access: yesFEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler   +2 more
wiley   +1 more source

A detailed parameterization of the atmospheric boundary layer [PDF]

open access: yes, 1978
December, 1978.Sponsored by NASA NRC-04-75-197.Sponsored by NASA NSG 1023 Supp #1.Sponsored by NASA NSG 5105.Sponsored by National Science Foundation ATM 77-09770.Sponsored by NOAA 04-5-022-8.Sponsored by the National Center for Atmospheric Research NCAR-
Department of Atmospheric Science, Colorado State University, publisher   +1 more
core  

Translophagy—A potential link between autophagy impairment and translational errors

open access: yesFEBS Letters, EarlyView.
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk   +11 more
wiley   +1 more source

Surface Chlorophyll-a Concentration Spatio-Temporal Variations in the Northern South China Sea Detected Using MODIS Data

open access: yesTerrestrial, Atmospheric and Oceanic Sciences, 2015
This study examines the spatio-temporal variations in the sea-surface chlorophyll-a (Chl-a) concentration and their associated underlying driving forces in the northern South China Sea (SCS) from 2004 - 2010. A stratified analysis method and the Moderate
Meihong Fang   +4 more
doaj   +1 more source

Chiral separation of chloroalkanes with the chromatographic column onboard Martian rovers

open access: yesFEBS Letters, EarlyView.
Computer image of the Rosalind Franklin Rover of ESA's ExoMars mission. ExoMars is scheduled to land on planet Mars in Oxia Planum in 2029. This area represents an interesting spot to look for biosignatures. Investigations of ExoMars include measurement on molecular chirality. We show that chiral chloroalkanes, that have been identified on Mars, can be
Asma Merzougui   +4 more
wiley   +1 more source

Polynomial representation of 6.3 mu m water vapor and 4.3 mu m CO2 atmospheric transmissivities [PDF]

open access: yes, 1976
Includes bibliographical references (page 19).December 1976.The research reported in this paper describes a polynomial model formulated for the depiction of 6.3 μm H2O and 4.3 μm CO2 transmissivities in the atmosphere.
Department of Atmospheric Science, Colorado State University, publisher   +2 more
core  

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