Search Results

You are looking at 101 - 105 of 105 items for :

  • Arctic Oscillation x
  • Journal of Hydrometeorology x
  • Refine by Access: All Content x
Clear All
Chul-Su Shin, Bohua Huang, Paul A. Dirmeyer, Subhadeep Halder, and Arun Kumar

prolong period of time) in the United States on seasonal time scales mainly result from sea surface temperature (SST) anomalies in the Pacific associated with El Niño–Southern Oscillation (ENSO) and/or the Pacific decadal oscillation (PDO), with lesser contribution from SST anomalies in the Atlantic and Indian Oceans (e.g., Hoerling and Kumar 2003 ; McCabe et al. 2004 ; Seager et al. 2005 ; Cook et al. 2007 ; Hoerling et al. 2009 ; Seager and Hoerling 2014 ; Schubert et al. 2016 ; Huang et al

Restricted access
Paul J. Neiman, F. Martin Ralph, Benjamin J. Moore, Mimi Hughes, Kelly M. Mahoney, Jason M. Cordeira, and Michael D. Dettinger

Gulf of California ( Fig. 5d ), which were bolstered by areal-averaged sea surface temperature anomalies of ~0.4°–0.8°C during a warm phase of El Niño–Southern Oscillation (ENSO) (i.e., multivariate ENSO index = 1.0–1.5; Wolter and Timlin 1998 ), provided additional water vapor (e.g., Newman et al. 2012 ). Farther south, dry air at 850 hPa (<~4 g kg −1 ) separated the AR from the tropical water vapor reservoir, while cold advection in northwesterly flow occurred poleward of the AR. The freezing

Full access
Camille Garnaud, Stéphane Bélair, Marco L. Carrera, Chris Derksen, Bernard Bilodeau, Maria Abrahamowicz, Nathalie Gauthier, and Vincent Vionnet

and Simmonds 1996 ; Cohen et al. 2001 ), including monsoon climates ( Barnett et al. 1989 ; Vernekar et al. 1995 ) and the North Atlantic Oscillation ( Cohen and Saito 2001 ). Furthermore, with snow’s ability to store water, snowmelt processes are essential to hydrological applications since they control the timing and amount of snowmelt runoff and ultimately streamflow ( Yang et al. 2003 ). Because of its geographical location, Canada is particularly affected by snow processes and their impact

Open access
M. Alves, D. F. Nadeau, B. Music, F. Anctil, and A. Parajuli

the topsoil layer (within ~0.15 m deep from the skin soil surface). Blue, green, and red lines correspond to CTL, RNL, and RNL-ObsP simulations, respectively. The soil moisture simulations at ON-OMW ( Fig. 10c ) show reasonable agreement with observations for only some parts of the snow accumulation period (DJFM) and late snowmelt period (May). For the most part, however, CLASS results greatly disagree with observations, showing many oscillations (peaks) that are not shown by the measurements. Its

Free access
Pingping Xie, Mingyue Chen, Song Yang, Akiyo Yatagai, Tadahiro Hayasaka, Yoshihiro Fukushima, and Changming Liu

– 2046 . 10.1175/1520-0477(2000)081<2035:EOPSSE>2.3.CO;2 Spencer, R. W. , 1993 : Global oceanic precipitation from MSU during 1979–91 and comparisons to other climatologies. J. Climate , 6 , 1301 – 1326 . 10.1175/1520-0442(1993)006<1301:GOPFTM>2.0.CO;2 Su, F. G. , Adam J. C. , Bowling L. C. , and Lettenmaier D. P. , 2005 : Streamflow simulation of the terrestrial Arctic domain. J. Geophys. Res. , 110 . D08112, doi:10.1029/10.1029/2004JD005518 . Susskind, J. , Piraino P

Full access