Articles | Volume 14, issue 16
https://doi.org/10.5194/acp-14-8559-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-14-8559-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Aug 2014
Research article |
| 25 Aug 2014
Characterisation of bioaerosol emissions from a Colorado pine forest: results from the BEACHON-RoMBAS experiment
I. Crawford
Centre for Atmospheric Science, SEAES, University of Manchester, Manchester, UK
N. H. Robinson
Met Office, Exeter, UK
M. J. Flynn
Centre for Atmospheric Science, SEAES, University of Manchester, Manchester, UK
V. E. Foot
Defence Science and Technology Laboratory, Porton Down, Salisbury, SP4 0JQ, UK
M. W. Gallagher
Centre for Atmospheric Science, SEAES, University of Manchester, Manchester, UK
J. A. Huffman
Department of Chemistry & Biochemistry, University of Denver, 2190 E. Illif Ave., Denver, CO, 80208, USA
W. R. Stanley
Science and Technology Research Institute, University of Hertfordshire, Hatfield AL10 9AB, UK
P. H. Kaye
Science and Technology Research Institute, University of Hertfordshire, Hatfield AL10 9AB, UK
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- Influence of moisturizer and relative humidity on human emissions of fluorescent biological aerosol particles J. Zhou et al. 10.1111/ina.12349
- Review: The Use of Real-Time Fluorescence Instrumentation to Monitor Ambient Primary Biological Aerosol Particles (PBAP) M. Fennelly et al. 10.3390/atmos9010001
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- Real-time detection of airborne fluorescent bioparticles in Antarctica I. Crawford et al. 10.5194/acp-17-14291-2017
- Characterization of bacterial diversity and ice-nucleating ability during different monsoon seasons over a southern tropical Indian region M. Akila et al. 10.1016/j.atmosenv.2018.08.026
- Evaluation of machine learning algorithms for classification of primary biological aerosol using a new UV-LIF spectrometer S. Ruske et al. 10.5194/amt-10-695-2017
- Fluorescent bioaerosol particle, molecular tracer, and fungal spore concentrations during dry and rainy periods in a semi-arid forest M. Gosselin et al. 10.5194/acp-16-15165-2016
- Measurements and modeling of surface–atmosphere exchange of microorganisms in Mediterranean grassland F. Carotenuto et al. 10.5194/acp-17-14919-2017
- Observations of fluorescent aerosol–cloud interactions in the free troposphere at the High-Altitude Research Station Jungfraujoch I. Crawford et al. 10.5194/acp-16-2273-2016
- Land-use patterns and fungal bioaerosols in the Brazilian Atlantic Forest biome M. Mantoani et al. 10.1007/s44274-024-00049-x
- Summertime fluorescent bioaerosol particles in the coastal megacity Tianjin, North China B. Cheng et al. 10.1016/j.scitotenv.2020.137966
- Bioaerosols in the Earth system: Climate, health, and ecosystem interactions J. Fröhlich-Nowoisky et al. 10.1016/j.atmosres.2016.07.018
- Biogenic cloud nuclei in the central Amazon during the transition from wet to dry season J. Whitehead et al. 10.5194/acp-16-9727-2016
- The aeromicrobiome: the selective and dynamic outer-layer of the Earth’s microbiome P. Amato et al. 10.3389/fmicb.2023.1186847
- Detection of Airborne Biological Particles in Indoor Air Using a Real-Time Advanced Morphological Parameter UV-LIF Spectrometer and Gradient Boosting Ensemble Decision Tree Classifiers I. Crawford et al. 10.3390/atmos11101039
- Ambient measurement of fluorescent aerosol particles with a WIBS in the Yangtze River Delta of China: potential impacts of combustion-related aerosol particles X. Yu et al. 10.5194/acp-16-11337-2016
- A comparison of on-line and off-line bioaerosol measurements at a biowaste site P. Feeney et al. 10.1016/j.wasman.2018.02.035
- Evaluation of hierarchical agglomerative cluster analysis methods for discrimination of primary biological aerosol I. Crawford et al. 10.5194/amt-8-4979-2015
- Model simulations of fungal spore distribution over the Indian region T. Ansari et al. 10.1016/j.atmosenv.2015.10.020
- Abundance of fluorescent biological aerosol particles at temperatures conducive to the formation of mixed-phase and cirrus clouds C. Twohy et al. 10.5194/acp-16-8205-2016
- Overview of primary biological aerosol particles from a Chinese boreal forest: Insight into morphology, size, and mixing state at microscopic scale W. Li et al. 10.1016/j.scitotenv.2020.137520
- Airborne observations of bioaerosol over the Southeast United States using a Wideband Integrated Bioaerosol Sensor L. Ziemba et al. 10.1002/2015JD024669
- Characterisation and source identification of biofluorescent aerosol emissions over winter and summer periods in the United Kingdom E. Forde et al. 10.5194/acp-19-1665-2019
- Drivers of the fungal spore bioaerosol budget: observational analysis and global modeling R. Janssen et al. 10.5194/acp-21-4381-2021
- Assessing residential indoor and outdoor bioaerosol characteristics using the ultraviolet light-induced fluorescence-based wideband integrated bioaerosol sensor Y. Addor et al. 10.1039/D2EM00177B
- Quantifying bioaerosol concentrations in dust clouds through online UV-LIF and mass spectrometry measurements at the Cape Verde Atmospheric Observatory D. Morrison et al. 10.5194/acp-20-14473-2020
- Spectroscopic detection of bioaerosols with the wibs-4+: Anthropogenic and meteorological impacts E. Markey et al. 10.1016/j.scitotenv.2024.173649
- Bioaerosol field measurements: Challenges and perspectives in outdoor studies T. Šantl-Temkiv et al. 10.1080/02786826.2019.1676395
- Fluorescence calibration method for single-particle aerosol fluorescence instruments E. Robinson et al. 10.5194/amt-10-1755-2017
- Fluorescent biological aerosol particle measurements at a tropical high-altitude site in southern India during the southwest monsoon season A. Valsan et al. 10.5194/acp-16-9805-2016
- Daily behavior of urban Fluorescing Aerosol Particles in northwest Spain A. Calvo et al. 10.1016/j.atmosenv.2018.04.027
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