Search Results

You are looking at 1 - 10 of 11 items for :

  • Decadal variability x
  • Process-Oriented Model Diagnostics x
  • All content x
Clear All
Zhe Feng, Fengfei Song, Koichi Sakaguchi, and L. Ruby Leung

regions east of the Continental Divide (ECONUS; Feng et al. 2019 ; Haberlie and Ashley 2019 ). MCSs consist of an assembly of cumulonimbus clouds on scales of 100 km or greater and produce mesoscale circulations ( Houze 2004 , 2018 ). They are also responsible for over half of the extreme daily rainfall events, trailed by synoptic and tropical systems in the ECONUS ( Stevenson and Schumacher 2014 ). The warming climate in the past three decades has already resulted in an observed increase in the

Open access
Douglas E. Miller and Zhuo Wang

>2.0.CO;2 . 10.1175/1520-0469(1983)040<1363:BWPAIA>2.0.CO;2 Smith , D. M. , A. A. Scaife , R. Eade , and J. R. Knight , 2016 : Seasonal to decadal prediction of the winter North Atlantic Oscillation: Emerging capability and future prospects . Quart. J. Roy. Meteor. Soc. , 142 , 611 – 617 , https://doi.org/10.1002/qj.2479 . 10.1002/qj.2479 Strong , C. , and G. Magnusdottir , 2011 : Dependence of NAO variability on coupling with sea ice . Climate Dyn. , 36 , 1681 – 1689

Full access
James F. Booth, Young-Oh Kwon, Stanley Ko, R. Justin Small, and Rym Msadek

. Nakamura , M. Nonaka , N. Komori , A. Kuwano-Yoshida , K. Takaya , and A. Goto , 2012 : Seasonal evolutions of atmospheric response to decadal SST anomalies in the North Pacific subarctic frontal zone: Observations and a coupled model simulation . J. Climate , 25 , 111 – 139 , doi: 10.1175/JCLI-D-11-00046.1 . 10.1175/JCLI-D-11-00046.1 Thompson , L. , and Y.-O. Kwon , 2010 : An enhancement of low-frequency variability in the Kuroshio–Oyashio Extension in CCSM3 owing to ocean

Full access
Allison A. Wing, Suzana J. Camargo, Adam H. Sobel, Daehyun Kim, Yumin Moon, Hiroyuki Murakami, Kevin A. Reed, Gabriel A. Vecchi, Michael F. Wehner, Colin Zarzycki, and Ming Zhao

– 1162 , https://doi.org/10.1175/1520-0434(2002)017<1152:ITDATO>2.0.CO;2 . 10.1175/1520-0434(2002)017<1152:ITDATO>2.0.CO;2 Camargo , S. J. , and A. Wing , 2016 : Tropical cyclones in climate models . Wiley Interdiscip. Rev.: Climate Change , 7 , 211 – 237 , https://doi.org/10.1002/wcc.373 . Chen , J.-H. , and S.-J. Lin , 2011 : The remarkable predictability of inter-annual variability of Atlantic hurricanes during the past decade . Geophys. Res. Lett. , 38 , L11804 , https

Full access
Eric D. Maloney, Andrew Gettelman, Yi Ming, J. David Neelin, Daniel Barrie, Annarita Mariotti, C.-C. Chen, Danielle R. B. Coleman, Yi-Hung Kuo, Bohar Singh, H. Annamalai, Alexis Berg, James F. Booth, Suzana J. Camargo, Aiguo Dai, Alex Gonzalez, Jan Hafner, Xianan Jiang, Xianwen Jing, Daehyun Kim, Arun Kumar, Yumin Moon, Catherine M. Naud, Adam H. Sobel, Kentaroh Suzuki, Fuchang Wang, Junhong Wang, Allison A. Wing, Xiaobiao Xu, and Ming Zhao

, 2013a : North American climate in CMIP5 experiments. Part I: Evaluation of 20th century continental and regional climatology . J. Climate , 26 , 9209 – 9245 , https://doi.org/10.1175/JCLI-D-12-00592.1 . 10.1175/JCLI-D-12-00592.1 Sheffield , J. , and Coauthors , 2013b : North American climate in CMIP5 experiments. Part II: Evaluation of 20th century intra-seasonal to decadal variability . J. Climate , 26 , 9247 – 9290 , https://doi.org/10.1175/JCLI-D-12-00593.1 . 10.1175/JCLI-D-12

Open access
Jiabao Wang, Hyemi Kim, Daehyun Kim, Stephanie A. Henderson, Cristiana Stan, and Eric D. Maloney

phase 3, and a southward shift after phase 7. A detailed review of various MJO impacts on the extratropics is offered by Stan et al. (2017) . Considering the substantial global impacts of the MJO and its teleconnections, it is crucial to accurately simulate and predict characteristics and variability of the MJO and its teleconnections in global climate models (GCMs). Numerous multimodel comparison studies have been conducted on MJO simulations in recent decades (e.g., Lin et al. 2006 ; Hung et al

Open access
Fiaz Ahmed and J. David Neelin

capture the variability in the shape of the precipitation onset curve across the tropical oceans. These bulk variables were primarily chosen as measures of convenience to capture the leading vertical thermodynamic structure. The efforts of this study will help interpret their behavior in a buoyancy-based framework while taking higher-order variations in the vertical structure into account. The study of convective transition statistics has shown substantial utility in both mechanistic and diagnostic

Full access
Daehyun Kim, Yumin Moon, Suzana J. Camargo, Allison A. Wing, Adam H. Sobel, Hiroyuki Murakami, Gabriel A. Vecchi, Ming Zhao, and Eric Page

frequency and greater intensity of hurricanes? Tellus , 48A , 57 – 73 , https://doi.org/10.3402/tellusa.v48i1.11632 . 10.3402/tellusa.v48i1.11632 Bengtsson , L. , K. I. Hodges , and M. Esch , 2007 : Tropical cyclones in a T159 resolution global climate model: Comparison with observations and re-analyses . Tellus , 59A , 396 – 416 , https://doi.org/10.1111/j.1600-0870.2007.00236.x . 10.1111/j.1600-0870.2007.00236.x Bister , M. , and K. A. Emanuel , 2002 : Low frequency variability

Open access
Alexis Berg and Justin Sheffield

differences in their simulation of land–atmosphere fluxes, including ET (e.g., Mueller and Seneviratne 2014 , and references therein). Much research has been directed over the past decade toward evaluating the representation of ET in climate models, based on global land ET products derived from observations, such as remote sensing data, upscaled in situ measurements, and/or land surface models driven by observations (e.g., Mueller et al. 2013 ). Perhaps less attention has been devoted, until recently

Full access
Yi-Hung Kuo, Kathleen A. Schiro, and J. David Neelin

1. Introduction Despite the ongoing improvement of weather and climate modeling in recent decades in terms of model resolution and number of simulated processes, convective parameterization remains a major contributor to the uncertainty of future projection ( Sanderson 2011 ; Rowell 2012 ; Yokohata et al. 2012 ; Sherwood et al. 2014 ), and systematic biases in precipitation and clouds persist. A nonexhaustive list of persistent biases includes the double ITCZ bias ( Mapes and Neale 2011

Full access