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Lukas Strauss, Stefano Serafin, and Manfred Dorninger

paper presents a verification study of the skill and potential economic value of deterministic forecasts of ice growth (also, active icing ; Bredesen et al. 2017b ). The phase of active ice accumulation on blades has been associated with the strongest production losses (e.g., Bernstein et al. 2012 ; Bergström et al. 2013 ); it is also the sensitive phase during which preventive anti-icing can make a difference. Icing forecasts for the range up to day 3 are produced from global and limited

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Tingting Gong and Dehai Luo

( D. S. Park et al. 2015 ; Woods and Caballero 2016 ). Below, we will indicate that changes in the moisture flux convergence, total column water (TCW; liquid water plus ice), and associated downward IR over the BKS depend strongly on the evolution (growth and decay) of the UB pattern from a daily perspective. In particular, it is demonstrated that the intensified UB occurs together with enhanced positive SAT anomaly, downward IR, TCW, and moisture flux convergence over the BKS and its adjacent

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Jason E. Box and William Colgan

). Here, iceberg calving and underwater melting processes are combined into a single parameter termed marine ice loss ( L M ). A semiempirical parameterization of L M as a function of runoff ( R ) enables total ice sheet mass budget closure. Rignot et al. (2008) parameterized L M in terms of a linear function of surface mass balance (SMB). Here, that relation is revisited using updated L M data beginning in 1992 ( Rignot et al. 2011 ). Surface mass balance and runoff data are after Box et al

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Zhuo Wang, John Walsh, Sarah Szymborski, and Melinda Peng

enhanced mixing between the midlatitudes and the Arctic contributes to Arctic sea ice loss. The finding is consistent with previous studies that emphasize the role of moisture transport in hindering sea ice growth in winter and promoting sea ice melt in spring–summer ( Park et al. 2015 ; Hegyi and Taylor 2018 ; Mortin et al. 2016 ; Liu and Schweiger 2017 ). Additionally, increasing local evaporation owing to reduced sea ice cover may help further increase column water vapor ( Screen and Simmonds

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Jeremy G. Fyke, Lionel Carter, Andrew Mackintosh, Andrew J. Weaver, and Katrin J. Meissner

1. Introduction Ice shelves and ice sheets evolve in response to changes in oceanic and atmospheric boundary conditions. Recent dramatic losses of long-lived ice shelves in both hemispheres highlight the uniqueness of recent climate change and have focused attention on causal factors that promote ice shelf retreat. Ice shelves respond dynamically and thermodynamically to changes in underlying ocean temperature ( Holland et al. 2008a ) and surface air temperature (SAT). Several authors (e

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Mengzi Zhou and Huijun Wang

-9895.1994.02.02 . Jia , X. , and Q. Wang , 2006 : Analyses on general circulation character of precipitation anomaly in northeast China flood season . Plateau Meteor. , 25 , 309 – 318 . Kistler , R. , and Coauthors , 2001 : The NCEP–NCAR 50-Year Reanalysis: Monthly means CD-ROM and documentation . Bull. Amer. Meteor. Soc. , 82 , 247 – 268 , doi:10.1175/1520-0477(2001)082<0247:TNNYRM>2.3.CO;2 . Kumar , A. , and Coauthors , 2010 : Contribution of sea ice loss to Arctic amplification . Geophys

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Neil Davis, Andrea N. Hahmann, Niels-Erik Clausen, and Mark Žagar

the aerodynamic properties of the blades themselves and can lead to reduced energy production during the icing season. Homola et al. (2012) showed that the power curve (i.e., the relationship between wind speed and power) for a simulated wind turbine is reduced by around 28% between the cut-in wind speed, where the turbine is able to produce electricity, and the rated wind speed, where the turbine is producing its rated power output, for a turbine blade with moderate ice growth. Barber et al

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Anders A. Jensen, Jerry Y. Harrington, Hugh Morrison, and Jason A. Milbrandt

1. Introduction The complex shapes, various sizes, and liminal nature of ice particles in the atmosphere make it difficult to model microphysical growth processes accurately. Growth equations depend on ice properties like particle shape (habit) and size. Habits develop by preferential vapor-depositional growth along one axis altering the cross-sectional area, fall speed, and collection kernel for liquid drops (riming) and ice (aggregation) ( Mason 1953 ; Hallett 1965 ; Ono 1970 ; Takahashi

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Vaughan T. J. Phillips, Marco Formenton, Aaron Bansemer, Innocent Kudzotsa, and Barry Lienert

1. Introduction Aggregation of ice crystals in collisions to form snowflakes is one of the important processes in the growth of precipitation particles in natural clouds ( Kajikawa et al. 2000 ). Kajikawa and Heymsfield (1989) concluded that aggregation can be important in thunderstorm anvils and trailing stratiform clouds. Generally the collection mechanism depends on both the probability that a collision will occur between two ice particles vertically aligned (“collision efficiency”) and

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Anders A. Jensen and Jerry Y. Harrington

plots. The capacitance is a strong function of the aspect ratio, meaning for platelike crystals, increases in aspect ratio can decrease vapor growth substantially. If riming is not enough to counter the loss in vapor growth due to the increase in aspect ratio for platelike crystals, then riming suppresses overall growth ( Fig. 18 ). While we add the rime mass over the entire face of the ice crystal in our model, in nature, rime mass usually sticks to the edges of branched ice crystals ( Harimaya

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