Search Results

You are looking at 1 - 10 of 4,653 items for :

  • Interdecadal variability x
  • Refine by Access: All Content x
Clear All
Verónica Martín-Gómez, Emilio Hernández-Garcia, Marcelo Barreiro, and Cristóbal López

passing gain (lose) moisture on average over the 10 days of trajectory toward SESA, and therefore these regions will represent sources (sinks) of moisture. 4. Climate network and synchronization periods Figure 2 shows the network distance (solid black line) and the PCP index on DJF (dashed black line) during the last century. Regarding the mean network distance, the major features are the following: The network distance is characterized by interannual and interdecadal variability. During the last

Full access
Alice M. Grimm and João P. J. Saboia

. Since the hydroelectricity distribution networks are interconnected in Brazil and some countries in the continent share hydropower generation plants that depend on rainfall over large basins, it is useful to know the large-scale, continental modes of interdecadal precipitation variability and how they impact the precipitation regimes. Even the determination of the return period of floods, important for the design of dams, should take into account interdecadal variations. Besides, this low

Full access
Mark Carson and D. E. Harrison

1. Introduction In our previous work, we explored regional long-term temperature trends in the subsurface ocean. We found that there are large-scale coherent trend patterns over 20-yr periods, and that these interdecadal trends change sign for different analysis periods nearly everywhere ( Harrison and Carson 2007 ). These patterns of strong regional interdecadal variability at subsurface levels are robust to varying grid sizes and anomaly versus mean temperature fields ( Harrison and Carson

Full access
Vinu Valsala, Shamil Maksyutov, and Raghu Murtugudde

here is the impact of interannual to interdecadal climate variability on the source waters. This can potentially alter the Indian Ocean freshwater and heat budgets induced by the ITF. Therefore, it is important to clearly identify the source waters of the ITF from the Pacific Ocean supply side and assess its spatial and temporal variability. Establishing a picture of this variability is the primary focus of this study. ITF is the only low-latitude oceanic connection between two large ocean basins

Full access
Zhengyu Liu

by natural interdecadal variability as well as anthropogenic forcing, especially at the regional (continental/basin) scale. (For consistency, in this paper, “interdecadalvariability refers broadly to climate variability on time scales of 10–100 yr, while “decadal” and “multidecadal” variability refer to the variability from ~10 to 20 yr and from 20 yr to several decades, respectively.) A recent study further suggests that for climate changes over the next 10–30 yr, uncertainty in natural

Full access
Yifeng Cheng, Lu Wang, and Tim Li

rainfall variability averaged over SC also exhibits a significant increase around 1992/93 (see the red curve in Fig. 1a ), consistent with summer mean rainfall. To reveal the spatial distribution of the interdecadal rainfall change, the differences in the summer mean rainfall and the standard deviation of 10–30-day filtered rainfall for the 15-yr periods before and after the change is shown in Figs. 1c and 1d , respectively, where the difference is calculated by the later period (i.e., 1994

Free access
Kin Sik Liu and Johnny C. L. Chan

of TC tracks, which has a significant impact on the TC landfalling activity along the coastal areas of East Asia. For example, a record-high number of 10 TCs made landfall in Japan in 2004. Does this represent an increasing trend on the TC landfalling activity in Japan? It is therefore very important to study the interdecadal variability of the TC track patterns over the WNP, which may be helpful in reducing economic and human damage through proper planning and preparation before the typhoon

Full access
Guihua Wang, Chunzai Wang, and Rui Xin Huang

SCS circulation, the Asian monsoon contributes to the seasonal and interannual variability of the eastward jet ( Xie et al. 2003 ; Wang 2004 ). The eastward jet is primarily governed by the wind-driven circulation in the basin interior ( Wang et al. 2006 ; Bayler and Liu 2008 ); in addition, it may be partly regulated by the coastal circulation ( Gan and Qu 2008 ). The Asian monsoon over the SCS (hereafter the SCS monsoon) also shows a strong interdecadal variability, which can be clearly seen

Full access
Yuko M. Okumura, David Schneider, Clara Deser, and Rob Wilson

variability ( Bromwich et al. 2000 ; Fogt and Bromwich 2006 ). Tropical Pacific SST variations on decadal–interdecadal time scales are expected to affect the Southern Hemispheric circulation through similar mechanisms (e.g., Garreaud and Battisti 1999 ; Salinger et al. 2001 ; Mo 2000 ; Villalba et al. 2011 ), but their impact on Antarctic climate is not well documented. Decadal–interdecadal climate variations in the Atlantic basin may also influence Antarctica ( Chylek et al. 2010 ), as suggested

Full access
Jau-Ming Chen, Hui-Shan Chen, and Jin-Shuen Liu

monsoon circulations in modulating local rainfall variability. From summer into fall, TC activity is still active in September and October in the EA–WNP region. However, the prevailing seasonal circulation changes from southwesterly to northeasterly flows. With this circulation change, interactions between seasonal circulations and TCs are expected to differ from summer to fall. To examine this hypothesis, the interdecadal variability of TC rainfall and seasonal rainfall in Taiwan during fall is

Full access