Eastern Venezuela coastal upwelling in context of regional weather and climate variability

2018 ◽  
Vol 18 ◽  
pp. 219-228 ◽  
Author(s):  
Mark R. Jury
2021 ◽  
Author(s):  
Emilia Sanchez ◽  
Marta Martin Rey ◽  
Roland Seferian ◽  
Yeray Santana-Falcon

<p>The interannual climate variability in the Tropical Atlantic is mainly controlled by two air-sea coupled modes denoted as Meridional Mode (MM) and Equatorial Mode (EM). The MM, peaking in boreal spring, is characterized by an anomalous Sea Surface Temperature (SST) interhemispheric gradient associated with anomalous surface cross-equatorial winds blowing to the warmer hemisphere.  On the other hand, the positive phase of the EM exhibits an anomalous warming in the equatorial band and along the African coast, related to a weakening of the climatological trade winds. Both interannual modes illustrate significant SST and surface wind changes in the eastern boundary upwelling systems (EBUS) of the tropical Atlantic: the Senegal-Mauritanian and Angola-Benguela. The EBUS are characterized by wind-induced coastal upwelling of deep cold waters rich in nutrients supporting high primary productivity and an abundance of food resources. Hence, the physical or climate characteristics associated with the MM and EM may have a potential effect on marine organisms and ecosystems. The goal of this study is to understand the links between the main modes of tropical Atlantic variability and biogeochemical (BGC) variables such as oxygen, net primary production and ph. These are known to be the main drivers for marine ecosystems. Firstly we study the influence of MM and AM on the EBUS and how these links are represented by the coupled ESM CNRM-ESM2.1 against observations. Second, we use the ESM to investigate the links between the SST anomalies associated to MM and EM and the main BGC stressors mentioned above. For this purpose, a set of numerical experiments performed with CMIP6 climate models are used. This work is supported by the H2020 TRIATLAS project, whose main goal is to understand and evaluate the future evolution of living marine resources in the Atlantic Ocean.</p>


2020 ◽  
Vol 24 (5) ◽  
pp. 323-339
Author(s):  
Badea M. B. Mahfouz ◽  
Alaa G. M. Osman ◽  
Samy A. Saber ◽  
Hassan M. M. Kanhalaf-Allah

OENO One ◽  
2017 ◽  
Vol 51 (2) ◽  
pp. 99-105 ◽  
Author(s):  
Andrew Sturman ◽  
Peyman Zawar-Reza ◽  
Iman Soltanzadeh ◽  
Marwan Katurji ◽  
Valérie Bonnardot ◽  
...  

Grapevines are highly sensitive to environmental conditions, with variability in weather and climate (particularly temperature) having a significant influence on wine quality, quantity and style. Improved knowledge of spatial and temporal variations in climate and their impact on grapevine response allows better decision-making to help maintain a sustainable wine industry in the context of medium to long term climate change. This paper describes recent research into the application of mesoscale weather and climate models that aims to improve our understanding of climate variability at high spatial (1 km and less) and temporal (hourly) resolution within vineyard regions of varying terrain complexity. The Weather Research and Forecasting (WRF) model has been used to simulate the weather and climate in the complex terrain of the Marlborough region of New Zealand. The performance of the WRF model in reproducing the temperature variability across vineyard regions is assessed through comparison with automatic weather stations. Coupling the atmospheric model with bioclimatic indices and phenological models (e.g. Huglin, cool nights, Grapevine Flowering Véraison model) also provides useful insights into grapevine response to spatial variability of climate during the growing season, as well as assessment of spatial variability in the optimal climate conditions for specific grape varieties.


OENO One ◽  
2017 ◽  
Vol 51 (2) ◽  
pp. 99 ◽  
Author(s):  
Andrew Sturman ◽  
Peyman Zawar-Reza ◽  
Iman Soltanzadeh ◽  
Marwan Katurji ◽  
Valérie Bonnardot ◽  
...  

<p>Grapevines are highly sensitive to environmental conditions, with variability in weather and climate (particularly temperature) having a significant influence on wine quality, quantity and style. Improved knowledge of spatial and temporal variations in climate and their impact on grapevine response allows better decision-making to help maintain a sustainable wine industry in the context of medium to long term climate change. This paper describes recent research into the application of mesoscale weather and climate models that aims to improve our understanding of climate variability at high spatial (1 km and less) and temporal (hourly) resolution within vineyard regions of varying terrain complexity. The Weather Research and Forecasting (WRF) model has been used to simulate the weather and climate in the complex terrain of the Marlborough region of New Zealand. The performance of the WRF model in reproducing the temperature variability across vineyard regions is assessed through comparison with automatic weather stations. Coupling the atmospheric model with bioclimatic indices and phenological models (e.g. Huglin, cool nights, Grapevine Flowering Véraison model) also provides useful insights into grapevine response to spatial variability of climate during the growing season, as well as assessment of spatial variability in the optimal climate conditions for specific grape varieties.</p>


2013 ◽  
Vol 20 (7) ◽  
pp. 1191-1202 ◽  
Author(s):  
Dengpan Xiao ◽  
Juana P. Moiwo ◽  
Fulu Tao ◽  
Yonghui Yang ◽  
Yanjun Shen ◽  
...  

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