Publications of C. Pöhlker
All genres
Meeting Abstract (4)
2015
Meeting Abstract
The Amazon Tall Tower observatory (ATTO) site – Multi-year aerosol observations and scientific key questions. In AGU Fall Meeting 2015, A23H-06. AGU Fall Meeting, San Francisco CA, December 14, 2015 - December 18, 2015. American Geophysical Union, Washington DC (2015)
Thesis - PhD (1)
2013
Thesis - PhD
Microscopic and spectroscopic analysis of biogenic aerosols. Dissertation, Johannes Gutenberg-Universität, Mainz (2013)
Working Paper (24)
2020
Working Paper
Water uptake of subpollen aerosol particles: hygroscopic growth, CCN activation, and liquid-liquid phase separation. Atmospheric Chemistry and Physics Discussions 20 (2020)
Working Paper
Total OH reactivity over the Amazon rainforest: variability with temperature, wind, rain, altitude, time of day, season, and an overall budget closure. Atmospheric Chemistry and Physics Discussions 20 (2020)
Working Paper
Impact of biomass burning aerosols on radiation, clouds, and precipitation over the Amazon during the dry season: dependence of aerosol-cloud and aerosol-radiation interactions on aerosol loading. Atmospheric Chemistry and Physics Discussions 20 (2020)
2019
Working Paper
Understanding nighttime methane signals at the Amazon Tall Tower Observatory (ATTO). Atmospheric Chemistry and Physics Discussions in review (2019)
Working Paper
Influx of African biomass burning aerosol during the Amazonian dry season through layered transatlantic transport of black carbon-rich smoke. Atmospheric Chemistry and Physics Discussions in review (2019)
Working Paper
Microclimatic and ecophysiological conditions experienced by epiphytic bryophytes in an Amazonian rain forest. Biogeosciences Discussions 15 (2019)
2018
Working Paper
Spectral Intensity Bioaerosol Sensor (SIBS): A new Instrument for Spectrally Resolved Fluorescence Detection of Single Particles in Real-Time. Atmospheric Measurement Techniques Discussions 11 (2018), 46 pp.
Working Paper
Artifacts from manganese reduction in rock samples prepared by focused ion beam (FIB) slicing for X-ray microspectroscopy. Geoscientific instrumentation, methods and data systems discussions 7 (2018), 12 pp.
Working Paper
Land cover and its transformation in the backward trajectory footprint region of the Amazon Tall Tower Observatory. Atmospheric Chemistry and Physics Discussions 18 (2018), 69 pp.
2017
Working Paper
Long-term observations of cloud condensation nuclei in the Amazon rain forest – Part 2: Variability and characteristic differences under near-pristine, biomass burning, and long-range transport conditions parameterizations for CCN prediction. Atmospheric Chemistry and Physics Discussions 17 (2017)
Working Paper
Aerosol characteristics and particle production in the upper troposphere over the Amazon Basin. Atmospheric Chemistry and Physics Discussions 17 (2017), 46 pp.
Working Paper
Illustration of microphysical processes in Amazonian deep convective clouds in the Gamma phase space: Introduction and potential applications. Atmospheric Chemistry and Physics Discussions 17 (2017)
Working Paper
Overview: Precipitation Characteristics and Sensitivities to the Environmental Conditions during GoAmazon2014/5 and ACRIDICON-CHUVA. Atmospheric Chemistry and Physics Discussions 17 (2017)
Working Paper
Long-term study on coarse mode aerosols in the Amazon rain forest with the frequent intrusion of Saharan dust plumes. Atmospheric Chemistry and Physics Discussions 17 (2017)
Working Paper
Black and brown carbon over central Amazonia: Long-term aerosol measurements at the ATTO site. Atmospheric Chemistry and Physics Discussions 17 (2017)
Working Paper
African volcanic emissions influencing atmospheric aerosol particles over the Amazon rain forest. Atmospheric Chemistry and Physics Discussions 17 (2017)
Working Paper
Systematic characterization and fluorescence threshold strategies for the wideband integrated bioaerosol sensor (WIBS) using size-resolved biological and interfering particles. Atmospheric Measurement Techniques Discussions 10 (2017)
Working Paper
What do we learn from long-term cloud condensation nuclei number concentration, particle number size distribution, and chemical composition measurements at regionally representative observatories? Atmospheric Chemistry and Physics Discussions 17 (2017)