Novel estimation of aerosol processes with particle size distribution measurements: a case study with the TOMAS algorithm v1.0.0
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Novel estimation of aerosol processes with particle size distribution measurements: a case study with the TOMAS algorithm v1.0.0 ; volume:14 ; number:3 ; year:2021 ; pages:1821-1839 ; extent:19
Geoscientific model development ; 14, Heft 3 (2021), 1821-1839 (gesamt 19)
- Creator
- DOI
-
10.5194/gmd-14-1821-2021
- URN
-
urn:nbn:de:101:1-2021040805235633762838
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:51 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- McGuffin, Dana L.
- Huang, Yuanlong
- Flagan, Richard C.
- Petäjä, Tuukka
- Ydstie, B. Erik
- Adams, Peter J.
Other Objects (12)
Modelling Ag-particle activation and growth in a TSI WCPC model 3785
Pushing nano-aerosol measurements towards a new decade – technical note on the Airmodus particle size magnifier 2.0
Pushing nano-aerosol measurements to a new decade – Technical note on Airmodus Particle Size Magnifier 2.0
Atmospheric new particle formation in China
Neural network modelling to estimate particle size distribution based on other particle sections and meteorological parameters
Understanding the formation of biogenic secondary organic aerosol from α-pinene in smog chamber studies: role of organic peroxy radicals
Influence of vegetation on occurrence and time distributions of regional new aerosol particle formation and growth
Influence of vegetation on occurrence and time distributions of regional new aerosol particle formation and growth
Improved counting statistics of an ultrafine differential mobility particle size spectrometer system
How to reliably detect molecular clusters and nucleation mode particles with Neutral cluster and Air Ion Spectrometer (NAIS)
Data imputation in in situ-measured particle size distributions by means of neural networks
Multiyear statistics of columnar ice production in stratiform clouds over Hyytiälä, Finland
Modelling Ag-particle activation and growth in a TSI WCPC model 3785
Pushing nano-aerosol measurements towards a new decade – technical note on the Airmodus particle size magnifier 2.0
Pushing nano-aerosol measurements to a new decade – Technical note on Airmodus Particle Size Magnifier 2.0
Atmospheric new particle formation in China
Neural network modelling to estimate particle size distribution based on other particle sections and meteorological parameters
Understanding the formation of biogenic secondary organic aerosol from α-pinene in smog chamber studies: role of organic peroxy radicals
Influence of vegetation on occurrence and time distributions of regional new aerosol particle formation and growth
Influence of vegetation on occurrence and time distributions of regional new aerosol particle formation and growth
Improved counting statistics of an ultrafine differential mobility particle size spectrometer system
How to reliably detect molecular clusters and nucleation mode particles with Neutral cluster and Air Ion Spectrometer (NAIS)
Data imputation in in situ-measured particle size distributions by means of neural networks
Multiyear statistics of columnar ice production in stratiform clouds over Hyytiälä, Finland
Modelling Ag-particle activation and growth in a TSI WCPC model 3785
Pushing nano-aerosol measurements towards a new decade – technical note on the Airmodus particle size magnifier 2.0
Pushing nano-aerosol measurements to a new decade – Technical note on Airmodus Particle Size Magnifier 2.0
Atmospheric new particle formation in China
Neural network modelling to estimate particle size distribution based on other particle sections and meteorological parameters
Understanding the formation of biogenic secondary organic aerosol from α-pinene in smog chamber studies: role of organic peroxy radicals
Influence of vegetation on occurrence and time distributions of regional new aerosol particle formation and growth
Influence of vegetation on occurrence and time distributions of regional new aerosol particle formation and growth
Improved counting statistics of an ultrafine differential mobility particle size spectrometer system
How to reliably detect molecular clusters and nucleation mode particles with Neutral cluster and Air Ion Spectrometer (NAIS)
Data imputation in in situ-measured particle size distributions by means of neural networks