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Andrea Taschetto   Dr.  Other 
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Andrea Taschetto published an article in November 2017.
Top co-authors See all
Matthew England

108 shared publications

University of New South Wales

I. Wainer

73 shared publications

Institute of Oceanography, University of São Paulo; São Paulo Brazil

Matthew H. England

55 shared publications

Climate Change Research Centre, University of New South Wales, Sydney, New South Wales 2052, Australia

Caroline C. Ummenhofer

39 shared publications

Department of Physical Oceanography, Woods Hole Oceanographic Institution, Woods Hoods, USA

A. Sen Gupta

34 shared publications

Climate Change Research Centre, University of New South Wales Sydney New South Wales Australia

14
Publications
17
Reads
2
Downloads
250
Citations
Publication Record
Distribution of Articles published per year 
(2006 - 2017)
Total number of journals
published in
 
8
 
Publications See all
CONFERENCE-ARTICLE 8 Reads 0 Citations <strong>The role of ocean variability for droughts and wet periods in South America</strong> Andrea Taschetto Published: 06 November 2017
First International Electronic Conference on the Hydrological Cycle, doi: 10.3390/CHyCle-2017-04844
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Interannual precipitation over South America is largely modulated by the large-scale modes of variability in the surrounding oceans. In particular, the El Niño – Southern Oscillation (ENSO) affects South American rainfall generating a dipole pattern of precipitation over the northern and southeastern regions. In this study the role of the oceans for South American rainfall variability is investigated using the National Centre for Atmospheric Research (NCAR) Community Earth System Model (CESM). Multi-century simulations are performed to estimate rainfall mean and variability in South America in a fully coupled climate system and in the absence of ocean variability. Results show that interannual and decadal rainfall variability over South America is primarily associated with sea surface temperature anomalies in the Indo-Pacific region and variations in the extent of the Pacific warm pool. In the absence of ocean variability, droughts tend to last longer, particularly over the northeastern region. Thus, ENSO acts as a restoring mechanism for rainfall deficits and surplus over the continent. Interestingly, ENSO events are not only crucial for modulating rainfall variability, but also for determining mean precipitation over South America.

 

Article 2 Reads 1 Citation Can Australian Multiyear Droughts and Wet Spells Be Generated in the Absence of Oceanic Variability? Andrea S. Taschetto, Alex Sen Gupta, Caroline C. Ummenhofer,... Published: 01 September 2016
Journal of Climate, doi: 10.1175/jcli-d-15-0694.1
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Article 2 Reads 6 Citations How sensitive are the Pacific–tropical North Atlantic teleconnections to the position and intensity of El Niño-related w... A. S. Taschetto, R. R. Rodrigues, G. A. Meehl, S. McGregor, ... Published: 04 June 2015
Climate Dynamics, doi: 10.1007/s00382-015-2679-x
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Article 2 Reads 3 Citations Evaluation of monsoon seasonality and the tropospheric biennial oscillation transitions in the CMIP models Nicolas C. Jourdain, Caroline C. Ummenhofer, Karumuri Ashok,... Published: 26 October 2012
Geophysical Research Letters, doi: 10.1029/2012gl053322
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[1] Characteristics of the Indian and Australian summer monsoon systems, their seasonality and interactions are examined in a variety of observational datasets and in the Coupled Model Intercomparison Project Phase 3 and 5 (CMIP3 and CMIP5) climate models. In particular, it is examined whether preferred monsoon transitions between the two regions and from one year to another, that form parts of the Tropospheric Biennial Oscillation, can lead to improved predictive skill. An overall improvement in simulation of seasonality for both monsoons is seen in CMIP5 over CMIP3, with most CMIP5 models correctly simulating very low rainfall rates outside of the monsoon season. The predictability resulting from each transition is quantified using a Monte Carlo technique. The transition from strong/weak Indian monsoon to strong/weak Australian monsoon shows ∼15% enhanced predictability in the observations, in estimating whether the following monsoon will be stronger/weaker than the climatology. Most models also successfully simulate this transition. However, enhanced predictability for other transitions is less clear.
Article 1 Read 11 Citations Can Indian Ocean SST anomalies influence South American rainfall? Andréa S. Taschetto, Tercio Ambrizzi Published: 20 August 2011
Climate Dynamics, doi: 10.1007/s00382-011-1165-3
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Article 2 Reads 10 Citations The influence of Southern Hemisphere sea-ice extent on the latitude of the mid-latitude jet stream J. Kidston, A. S. Taschetto, D. W. J. Thompson, Matthew Engl... Published: 01 August 2011
Geophysical Research Letters, doi: 10.1029/2011gl048056
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