Results 31 to 40 of about 7,355 (309)

Effect of Conventional Nitrogen Fertilization on Methane Uptake by and Emissions of Nitrous Oxide and Nitric Oxide from a Typical Cropland During a Maize Growing Season

Atmosphere
Conventional nitrogen fertilization in a maize cropping system enhances the soil’s methane (CH4) sink but exacerbates emissions of nitrous oxide (N2O) and nitric oxide (NO).
Zhenyong Tian, Yimeng Li, Kai Wang, Rui Wang, Yuting Zhang, Yi Sun, Shenghui Han, Zhisheng Yao, Chunyan Liu, Jing Li, Siqi Li, Xiao Chen, Yong Li, Xunhua Zheng   +13 more
doaj   +1 more source

Exploring non-linear associations between atmospheric new-particle formation and ambient variables: A mutual information approach [PDF]

, 2018
Atmospheric new-particle formation (NPF) is a very non-linear process that includes atmospheric chemistry of precursors and clustering physics as well as subsequent growth before NPF can be observed.
Zaidan, Martha A., Haapasilta, Ville, Kerminen, Veli-Matti, Paasonen, Pauli, Kerminen, Veli Matti, Kulmala, Markku, Junninen, Heikki, Relan, Rishi, Foster, Adam S.   +8 more
core   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Powerful Raman Lidar systems for atmospheric analysis and high-energy physics experiments

EPJ Web of Conferences, 2015
In this paper the author presents modern commercial Raman Lidar systems which can be applied to high-energy physics experiments. Raymetrics is a world-leader in laser remote (lidar) sensing applications.
Avdikos George
doaj   +1 more source

OIRF-LEnKF v1.0: a novel data assimilation system by integrating incremental machine learning with a localized EnKF for enhanced PM_2.5 chemical component simulation and reanalysis [PDF]

Geoscientific Model Development
Assimilating observational data into numerical simulation is crucial for accurately estimating the spatiotemporal distribution of PM2.5 chemical components (NH4+, NO3-, SO42-, OC, and BC), which is beneficial to quantifying the impact of aerosols on the ...
H. Li, T. Yang, L. Kong, D. Zhang, G. Tang, X. Tang, X. Tang, Z. Wang, Z. Wang   +8 more
doaj   +1 more source

Fine Particulate Matter Constituents, Ozone, and Systemic Lupus Erythematosus: A Large General‐Population Cohort Analysis With Extended Quantile g‐Computation

Arthritis &Rheumatology, EarlyView.
Objective The aim of this study was to investigate whether exposure to mixture of individual fine particulate matter (PM2.5) chemical constituents is associated with incident systemic lupus erythematosus (SLE) and if ozone modifies this association and/or is associated with SLE onset.
Naizhuo Zhao, Sasha Bernatsky, Sharon Dowell, Brittany Banbury, Jeffrey R. Curtis, Grace C. Wright, Emily E. Holladay, Amy Mudano, Cristiano S. Moura, Gail S. Kerr   +9 more
wiley   +1 more source

Vertically resolved formation mechanisms of fine particulate nitrate in Asian megacities: integrated lidar – aircraft observations and process analysis [PDF]

Atmospheric Chemistry and Physics
The vertical distribution of particulate nitrate is crucial for understanding its formation mechanisms and developing urban haze reduction strategies.
Y. Tian, Y. Tian, T. Yang, H. Li, P. Tian, Y. Song, Y. Song, J. He, J. He, Y. Tan, Y. Tan, Y. Sun, Y. Sun, Z. Wang, Z. Wang   +14 more
doaj   +1 more source

Atmospheric and Ocean Optics: Atmospheric Physics III

, 2022
This Special Issue aimed to collect novel papers presented at the 27th International Conference on “Atmospheric and Ocean Optics: Atmospheric Physics” (AOO—21) held from 5 to 9 July 2021 in Moscow, Russia [...
Oleg A. Romanovskii, Olga V. Kharchenko
core   +1 more source

Scientific collaboration in data‐intensive research networks: PhD fellows' expectations and early experiences

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Collaboration has become important at all stages of research careers. In data‐intensive research fields such as wind energy, many PhD fellows are socialized to such collaboration in networks that train a cohort of PhD fellows. Based on interviews with 23 PhD fellows in four wind‐energy training networks, we investigate their expectations and ...
Grischa Fraumann, Haakon Lund, Frans van der Sluis, Morten Hertzum   +3 more
wiley   +1 more source

The Difference in MODIS Aerosol Retrieval Accuracy over Chinese Forested Regions

Remote Sensing
The updated MODIS Collection 6.1 (C6.1) Dark Target (DT) aerosol optical depth (AOD) is extensively utilized in aerosol-climate studies in China. Nevertheless, the long-term accuracy of this data remains under-evaluated, especially for the forested areas.
Masroor Ahmed, Yongjing Ma, Lingbin Kong, Yulong Tan, Jinyuan Xin   +4 more
doaj   +1 more source