Affiliation:
1. Cloud Physics and Severe Weather Research Section, Environment Canada, Toronto, Ontario, Canada
2. National Center for Atmospheric Research, Boulder, Colorado
3. Met Office, Exeter, and School of Earth and Environment, Institute for Climate and Atmospheric Science, University of Leeds, Leeds, United Kingdom
Abstract
AbstractIce-phase precipitation occurs at Earth’s surface and may include various types of pristine crystals, rimed crystals, freezing droplets, secondary crystals, aggregates, graupel, hail, or combinations of any of these. Formation of ice-phase precipitation is directly related to environmental and cloud meteorological parameters that include available moisture, temperature, and three-dimensional wind speed and turbulence, as well as processes related to nucleation, cooling rate, and microphysics. Cloud microphysical parameters in the numerical models are resolved based on various processes such as nucleation, mixing, collision and coalescence, accretion, riming, secondary ice particle generation, turbulence, and cooling processes. These processes are usually parameterized based on assumed particle size distributions and ice crystal microphysical parameters such as mass, size, and number and mass density. Microphysical algorithms in the numerical models are developed based on their need for applications. Observations of ice-phase precipitation are performed using in situ and remote sensing platforms, including radars and satellite-based systems. Because of the low density of snow particles with small ice water content, their measurements and predictions at the surface can include large uncertainties. Wind and turbulence affecting collection efficiency of the sensors, calibration issues, and sensitivity of ground-based in situ observations of snow are important challenges to assessing the snow precipitation. This chapter’s goals are to provide an overview for accurately measuring and predicting ice-phase precipitation. The processes within and below cloud that affect falling snow, as well as the known sources of error that affect understanding and prediction of these processes, are discussed.
Publisher
American Meteorological Society
Subject
Atmospheric Science,Oceanography
Reference215 articles.
1. American Meteorological Society, 2016a: Snow. Glossary of Meteorology. [Available at http://glossary.ametsoc.org/wiki/snow.]
2. American Meteorological Society, 2016b: Graupel. Glossary of Meteorology. [Available at http://glossary.ametsoc.org/wiki/graupel.]
3. American Meteorological Society, 2016c: Hail. Glossary of Meteorology. [Available at http://glossary.ametsoc.org/wiki/hail.]
4. Radar and radiation properties of ice clouds;Atlas;J. Appl. Meteor.,1995
Cited by
37 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献