A universally applicable method of calculating confidence bands for ice nucleation spectra derived from droplet freezing experiments

<p>A suite of generally applicable statistical methods based on empirical bootstrapping is presented for calculating uncertainty and testing the significance of quantitative differences in temperature and/or ice active site densities between ice nucleation temperature spectra derived from drop...

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Main Authors: W. D. Fahy, C. R. Shalizi, R. C. Sullivan
Format: Article
Language:English
Published: Copernicus Publications 2022-11-01
Series:Atmospheric Measurement Techniques
Online Access:https://amt.copernicus.org/articles/15/6819/2022/amt-15-6819-2022.pdf
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author W. D. Fahy
W. D. Fahy
C. R. Shalizi
C. R. Shalizi
R. C. Sullivan
author_facet W. D. Fahy
W. D. Fahy
C. R. Shalizi
C. R. Shalizi
R. C. Sullivan
author_sort W. D. Fahy
collection DOAJ
description <p>A suite of generally applicable statistical methods based on empirical bootstrapping is presented for calculating uncertainty and testing the significance of quantitative differences in temperature and/or ice active site densities between ice nucleation temperature spectra derived from droplet freezing experiments. Such experiments are widely used to determine the heterogeneous ice nucleation properties and ice nucleation particle concentration spectra of different particle samples, as well as in studies of homogeneous freezing. Our methods avoid most of the assumptions and approximations inherent to existing approaches, and when sufficiently large sample sizes are used (approximately <span class="inline-formula">&gt;150</span> droplets and <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>&gt;</mo><mo>=</mo><mn mathvariant="normal">1000</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="44pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="31e7f63df9caf37e2f2e0b96a1eef36d"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-15-6819-2022-ie00001.svg" width="44pt" height="10pt" src="amt-15-6819-2022-ie00001.png"/></svg:svg></span></span> bootstrap samples in our system), can capture the full range of random variability and error in ice nucleation spectra. Applications include calculation of accurate confidence intervals and confidence bands, quantitative statistical testing of differences between observed freezing spectra, accurate subtraction of the background filtered water freezing signal, and calculation of a range of statistical parameters using data from a single droplet array freezing experiment if necessary. By providing additional statistical tools to the community, this work will improve the quality and accuracy of statistical tests and representations of uncertainty in future ice nucleation research, and will allow quantitative comparisons of the ice nucleation ability of different particles and surfaces.</p>
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spelling doaj.art-910ec23b4f8c4892a1003f6c840ae4b92022-12-22T04:15:53ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482022-11-01156819683610.5194/amt-15-6819-2022A universally applicable method of calculating confidence bands for ice nucleation spectra derived from droplet freezing experimentsW. D. Fahy0W. D. Fahy1C. R. Shalizi2C. R. Shalizi3R. C. Sullivan4Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA 15213, USAnow at: Department of Chemistry, University of Toronto, Toronto, ON M5S 3H6, CanadaDepartment of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, PA 15213, USASanta Fe Institute, Santa Fe, NM 87501, USADepartment of Chemistry, Carnegie Mellon University, Pittsburgh, PA 15213, USA<p>A suite of generally applicable statistical methods based on empirical bootstrapping is presented for calculating uncertainty and testing the significance of quantitative differences in temperature and/or ice active site densities between ice nucleation temperature spectra derived from droplet freezing experiments. Such experiments are widely used to determine the heterogeneous ice nucleation properties and ice nucleation particle concentration spectra of different particle samples, as well as in studies of homogeneous freezing. Our methods avoid most of the assumptions and approximations inherent to existing approaches, and when sufficiently large sample sizes are used (approximately <span class="inline-formula">&gt;150</span> droplets and <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>&gt;</mo><mo>=</mo><mn mathvariant="normal">1000</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="44pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="31e7f63df9caf37e2f2e0b96a1eef36d"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-15-6819-2022-ie00001.svg" width="44pt" height="10pt" src="amt-15-6819-2022-ie00001.png"/></svg:svg></span></span> bootstrap samples in our system), can capture the full range of random variability and error in ice nucleation spectra. Applications include calculation of accurate confidence intervals and confidence bands, quantitative statistical testing of differences between observed freezing spectra, accurate subtraction of the background filtered water freezing signal, and calculation of a range of statistical parameters using data from a single droplet array freezing experiment if necessary. By providing additional statistical tools to the community, this work will improve the quality and accuracy of statistical tests and representations of uncertainty in future ice nucleation research, and will allow quantitative comparisons of the ice nucleation ability of different particles and surfaces.</p>https://amt.copernicus.org/articles/15/6819/2022/amt-15-6819-2022.pdf
spellingShingle W. D. Fahy
W. D. Fahy
C. R. Shalizi
C. R. Shalizi
R. C. Sullivan
A universally applicable method of calculating confidence bands for ice nucleation spectra derived from droplet freezing experiments
Atmospheric Measurement Techniques
title A universally applicable method of calculating confidence bands for ice nucleation spectra derived from droplet freezing experiments
title_full A universally applicable method of calculating confidence bands for ice nucleation spectra derived from droplet freezing experiments
title_fullStr A universally applicable method of calculating confidence bands for ice nucleation spectra derived from droplet freezing experiments
title_full_unstemmed A universally applicable method of calculating confidence bands for ice nucleation spectra derived from droplet freezing experiments
title_short A universally applicable method of calculating confidence bands for ice nucleation spectra derived from droplet freezing experiments
title_sort universally applicable method of calculating confidence bands for ice nucleation spectra derived from droplet freezing experiments
url https://amt.copernicus.org/articles/15/6819/2022/amt-15-6819-2022.pdf
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