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Wei Mei, Shang-Ping Xie, and Ming Zhao

of seasonal predictions and long-term projections of TC activity, which in turn helps the community to be better prepared for TC-imposed threats. Research in this field has received much attention because of the strong rise of TC activity in the North Atlantic (NA) starting in the mid-1990s (e.g., Goldenberg et al. 2001 ; Holland and Webster 2007 ; Klotzbach and Gray 2008 ). There are several measures of TC activity, including genesis; counts; intensity; tracks; and some other derivatives

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Anne S. Daloz, S. J. Camargo, J. P. Kossin, K. Emanuel, M. Horn, J. A. Jonas, D. Kim, T. LaRow, Y.-K. Lim, C. M. Patricola, M. Roberts, E. Scoccimarro, D. Shaevitz, P. L. Vidale, H. Wang, M. Wehner, and M. Zhao

intensity (e.g., Gualdi et al. 2008 ; Knutson et al. 2010 ; Zhao and Held 2010 ; Stocker et al. 2014 ). Recently, a few studies evaluated the impact of climate change on tropical cyclone tracks over the North Atlantic basin. Murakami and Wang (2010) used a high-resolution global atmospheric model (20 km), while Colbert et al. (2013) used a beta advection model with winds from phase 3 of the Coupled Model Intercomparison Project (CMIP3); both studies showed a decrease in straight moving storm

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Wei Mei, Shang-Ping Xie, Ming Zhao, and Yuqing Wang

1. Introduction The western North Pacific (WNP) is the basin where tropical cyclones (TCs) are most active. On average it witnesses more than one-third of global TCs, some being the strongest TCs in individual years. These, together with the large and dense population in East and Southeast Asia, have motivated numerous efforts to understand the variability of WNP TCs (e.g., Chan 1985 ; Lander 1994 ; Wang and Chan 2002 ; Chia and Ropelewski 2002 ; Elsner and Liu 2003 ; Wu et al. 2004

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Young-Kwon Lim, Siegfried D. Schubert, Oreste Reale, Myong-In Lee, Andrea M. Molod, and Max J. Suarez

1. Introduction This article is inspired by a recent research on tropical cyclone (TC) simulation coordinated by the U.S. Climate Variability and Predictability (CLIVAR) Hurricane Working Group ( ) Among various science issues raised in the research, it was found that many current general circulation models (GCMs) seriously underestimate TC activity over the North Atlantic when run at ~0.5° latitude/longitude or coarser horizontal grid spacing as

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Malcolm J. Roberts, Pier Luigi Vidale, Matthew S. Mizielinski, Marie-Estelle Demory, Reinhard Schiemann, Jane Strachan, Kevin Hodges, Ray Bell, and Joanne Camp

hydrological cycle . Climate Dyn. , 42 , 2201 – 2225 , doi: 10.1007/s00382-013-1924-4 . Deser , C. , R. Knutti , S. Solomon , and A. S. Phillips , 2012 : Communication of the role of natural variability in future North American climate . Nat. Climate Change , 2 , 775 – 779 , doi: 10.1038/nclimate1562 . Donlon , C. J. , M. Martin , J. D. Stark , J. Roberts-Jones , E. Fiedler , and W. Wimmer , 2012 : The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA

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Christina M. Patricola, R. Saravanan, and Ping Chang

interannual-to-decadal Atlantic meridional mode (AMM) ( Vimont and Kossin 2007 ; Kossin and Vimont 2007 ), which describes the meridional gradient between northern and southern tropical Atlantic SST ( Chang et al. 1997 ; Servain et al. 1999 ; Chiang and Vimont 2004 ), and the Atlantic multidecadal oscillation (AMO) ( Landsea et al. 1999 ; Goldenberg et al. 2001 ; Vitart and Anderson 2001 ), which describes North Atlantic SST variability. Different phases of the AMO can dampen or amplify the effect of

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