Search Results

You are looking at 1 - 10 of 3,501 items for :

  • Ice loss/growth x
  • Refine by Access: All Content x
Clear All
Camille Hankel and Eli Tziperman

convection over open ocean to drive convection and deep convective clouds, the longwave (LW) radiative effect of which suppresses sea ice growth. Interestingly, we find here that downward LW radiation plays a significant role in affecting the abruptness of winter sea ice loss, but that while wintertime Arctic atmospheric convection indeed occurs in all models examined at high enough CO 2 , the LW cloud radiative effect does not seem to be a major player. Bathiany et al. (2016) looked closely at the

Restricted access
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

Free access
Xi Liang, Xichen Li, Haibo Bi, Martin Losch, Yongqi Gao, Fu Zhao, Zhongxiang Tian, and Chengyan Liu

ice volume in all seasons. The 〈 ω io 〉 and 〈 θ io 〉 terms peak in late autumn and early winter, because during this period the sea ice growth rate stays at a high level leaving dense (saline) surface water behind. The dense surface water leads to increased vertical convection and upward oceanic turbulent heat flux yielding more basal ice melt. Note that the enhanced sea ice area and volume losses during 6–10 August are caused by the so-called Great Arctic Cyclone of August 2012, which enhanced

Restricted access
Jerry Y. Harrington and Gwenore F. Pokrifka

1. Introduction Vapor depositional growth is largely responsible for the variety of shapes (or habits) of ice crystals found in atmospheric cold clouds. The crystal sizes, shapes, and surface properties that result from vapor growth can have strong impacts on numerical cloud model simulations of ice-containing clouds ( Gierens et al. 2003 ; Woods et al. 2007 ; Avramov and Harrington 2010 ), on the optical properties of cloud systems ( Mitchell et al. 1996 ; Järvinen et al. 2018 ; van

Full access
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

Full access
Vaughan T. J. Phillips

be enhanced somehow by high positive supersaturations with respect to water (e.g., Fukuta and Schaller 1982 ). Such supersaturations can occur transiently in the vicinity or wakes of falling freezing drops or graupel/hail in wet growth, the surfaces of which remain close to 0°C, much warmer than the ambient air, enhancing ice production (e.g., Gagin 1972 ; Gagin and Nozyce 1984 ; Prabhakaran et al. 2020 ). However, it is unclear whether orders of magnitude of enhancement could be produced by

Restricted access
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

Full access
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

Free access
Marie C. McGraw, Eduardo Blanchard-Wrigglesworth, Robin P. Clancy, and Cecilia M. Bitz

forecast. Section 3 discusses our results, including the biases in sea ice extent in the S2S models, seasonal and regional distribution of very rapid ice loss events (VRILE) days in the S2S models, the forecast skill of sea ice on VRILE days as compared to non-VRILE days, and forecast error growth following VRILEs. In section 4 , we discuss our results and offer concluding remarks. 2. Data and methods a. Observations We use observations of sea ice from passive microwave satellite retrievals

Restricted access
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

Full access