TY - JOUR
T1 - Habit-Dependent Vapor Growth Modulates Arctic Supercooled Water Occurrence
AU - Silber, Israel
AU - McGlynn, Paul S.
AU - Harrington, Jerry Y.
AU - Verlinde, Johannes
N1 - Publisher Copyright:
© 2021. American Geophysical Union. All Rights Reserved.
PY - 2021/5/28
Y1 - 2021/5/28
N2 - We present an analysis of long-term data collected at Utqiaġvik, Alaska, to explore the impacts of cloud processes on the probability of finding supercooled water given cloud temperature, P(L|T), in the topmost unseeded liquid-bearing layers. P(L|T) has local minima at temperatures around −6°C and −15°C. Simulations using habit-evolving ice microphysics models suggest that these minima are the result of efficient vapor growth by non-isometric habits found at these temperatures. We conclude that habit-dependent vapor growth of ice crystals modulates the macrophysical occurrence of supercooled water in polar clouds, the effect of which should be included in model parametrizations to avoid biases and/or error compensation. Our methodology is adaptable for spherical ice treatments implemented in models (example parametrizations provided), amenable for use with satellite measurements to give global impartial observational targets for model evaluations, and may allow empirical characterization of bulk responses to seeding and possibly secondary ice effects.
AB - We present an analysis of long-term data collected at Utqiaġvik, Alaska, to explore the impacts of cloud processes on the probability of finding supercooled water given cloud temperature, P(L|T), in the topmost unseeded liquid-bearing layers. P(L|T) has local minima at temperatures around −6°C and −15°C. Simulations using habit-evolving ice microphysics models suggest that these minima are the result of efficient vapor growth by non-isometric habits found at these temperatures. We conclude that habit-dependent vapor growth of ice crystals modulates the macrophysical occurrence of supercooled water in polar clouds, the effect of which should be included in model parametrizations to avoid biases and/or error compensation. Our methodology is adaptable for spherical ice treatments implemented in models (example parametrizations provided), amenable for use with satellite measurements to give global impartial observational targets for model evaluations, and may allow empirical characterization of bulk responses to seeding and possibly secondary ice effects.
UR - http://www.scopus.com/inward/record.url?scp=85106879525&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85106879525&partnerID=8YFLogxK
U2 - 10.1029/2021GL092767
DO - 10.1029/2021GL092767
M3 - Article
AN - SCOPUS:85106879525
SN - 0094-8276
VL - 48
JO - Geophysical Research Letters
JF - Geophysical Research Letters
IS - 10
M1 - e2021GL092767
ER -