Using the Monte Carlo Markov Chain method to estimate contact parameter temperature dependence

Anni Määttänen 1 M. Douspis 2
1 IMPEC - LATMOS
LATMOS - Laboratoire Atmosphères, Milieux, Observations Spatiales
Abstract : Wide temperature range datasets on deposition mode ice nucleation have revealed a strong dependence of the contact parameter m on temperature. This dependence varies from linear to exponential, depending on the experiment and the temperature range. We have analyzed three datasets using a Monte Carlo Markov Chain (MCMC) method. The used method allows us to test and evaluate different functional forms for the temperature dependence of the contact parameter. This study (Määttänen and Douspis, 2014) provides a new framework, valid even for very small ice nucleus sizes, for analyzing heterogeneous nucleation datasets.
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https://hal-insu.archives-ouvertes.fr/insu-01157912
Contributor : Catherine Cardon <>
Submitted on : Thursday, May 28, 2015 - 7:31:54 PM
Last modification on : Wednesday, May 15, 2019 - 3:52:07 AM

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  • HAL Id : insu-01157912, version 1

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Anni Määttänen, M. Douspis. Using the Monte Carlo Markov Chain method to estimate contact parameter temperature dependence. Proceedings of the NOSA-FAAR Symposium 2015. Report Series in Aerosol Science n° 165, Finnish Association for Aerosol Research FAAR, Mar 2015, Kuopio, Finland. pp.80. ⟨insu-01157912⟩

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