A Taxonomy of Snow Crystal Growth Behaviors: 2. Quantifying the Nakaya Diagram

TL;DR

This paper introduces a comprehensive dataset of 206 snow crystal growth observations under controlled conditions, extending the Nakaya diagram to enable quantitative comparison with computational models of snow crystal formation.

Contribution

It provides a detailed, quantitative dataset of snow crystal morphologies across various conditions, facilitating the development and validation of predictive growth models.

Findings

Dataset enables comparison with 3D computational models

Extension of Nakaya diagram for quantitative analysis

Initial microphysical growth model discussed

Abstract

This paper presents a matrix of 206 snow crystal growth observations as a function of temperature and water vapor supersaturation in air, each illustrating the morphology and size of a crystal forming on the tip of an isolated c-axis ice needle after a known growth time. Because each complex structure emerged from a simple, well-defined seed crystal under known environmental conditions, this data set is well suited for making comparisons with three-dimensional computational models. These observations thus provide a needed extension of the well-known Nakaya diagram, as they allow a quantitative evaluation of model predictions over a broad range of growth conditions. I also briefly discuss computational methods along with an initial model of the most relevant microphysical processes governing snow crystal growth. My overarching goal with this new data set is to facilitate the development of quantitative computational growth models that can eventually reproduce the remarkable diversity of morphological structures seen in snow crystal formation.