Communities and dynamical processes in a complex software network

2011 ◽  
Vol 390 (4) ◽  
pp. 741-748 ◽  
Author(s):  
Luis G. Moyano ◽  
Mary Luz Mouronte ◽  
Maria Luisa Vargas
2003 ◽  
Vol 8 (5-6) ◽  
pp. 76-80 ◽  
Author(s):  
S.V. Panasenko ◽  
◽  
V.T. Rozumenko ◽  
O.F. Tyrnov ◽  
L.F. Chernogor ◽  
...  

2019 ◽  
Vol 68 (3) ◽  
pp. 844-858 ◽  
Author(s):  
Jun Ai ◽  
Wenzhu Su ◽  
Shaoxiong Zhang ◽  
Yiwen Yang

2010 ◽  
Vol 7 (4) ◽  
pp. 1263-1269 ◽  
Author(s):  
J. While ◽  
K. Haines

Abstract. The main biogeochemical nutrient distributions, along with ambient ocean temperature and the light field, control ocean biological productivity. Observations of nutrients are much sparser than physical observations of temperature and salinity, yet it is critical to validate biogeochemical models against these sparse observations if we are to successfully model biological variability and trends. Here we use data from the Bermuda Atlantic Time-series Study and the World Ocean Database 2005 to demonstrate quantitatively that over the entire globe a significant fraction of the temporal variability of phosphate, silicate and nitrate within the oceans is correlated with water density. The temporal variability of these nutrients as a function of depth is almost always greater than as a function of potential density, with he largest reductions in variability found within the main pycnocline. The greater nutrient variability as a function of depth occurs when dynamical processes vertically displace nutrient and density fields together on shorter timescales than biological adjustments. These results show that dynamical processes can have a significant impact on the instantaneous nutrient distributions. These processes must therefore be considered when modeling biogeochemical systems, when comparing such models with observations, or when assimilating data into such models.


2006 ◽  
Vol 19 (16) ◽  
pp. 3903-3931 ◽  
Author(s):  
H. Schmidt ◽  
G. P. Brasseur ◽  
M. Charron ◽  
E. Manzini ◽  
M. A. Giorgetta ◽  
...  

Abstract This paper introduces the three-dimensional Hamburg Model of the Neutral and Ionized Atmosphere (HAMMONIA), which treats atmospheric dynamics, radiation, and chemistry interactively for the height range from the earth’s surface to the thermosphere (approximately 250 km). It is based on the latest version of the ECHAM atmospheric general circulation model of the Max Planck Institute for Meteorology in Hamburg, Germany, which is extended to include important radiative and dynamical processes of the upper atmosphere and is coupled to a chemistry module containing 48 compounds. The model is applied to study the effects of natural and anthropogenic climate forcing on the atmosphere, represented, on the one hand, by the 11-yr solar cycle and, on the other hand, by a doubling of the present-day concentration of carbon dioxide. The numerical experiments are analyzed with the focus on the effects on temperature and chemical composition in the mesopause region. Results include a temperature response to the solar cycle by 2 to 10 K in the mesopause region with the largest values occurring slightly above the summer mesopause. Ozone in the secondary maximum increases by up to 20% for solar maximum conditions. Changes in winds are in general small. In the case of a doubling of carbon dioxide the simulation indicates a cooling of the atmosphere everywhere above the tropopause but by the smallest values around the mesopause. It is shown that the temperature response up to the mesopause is strongly influenced by changes in dynamics. During Northern Hemisphere summer, dynamical processes alone would lead to an almost global warming of up to 3 K in the uppermost mesosphere.


1991 ◽  
Vol 06 (01) ◽  
pp. 55-60 ◽  
Author(s):  
SAUL BARSHAY

We study the possibility of the observable emergence of dynamical forward-backward multiplicity correlations among produced charge hadrons, and of a steadily broadening multiplicity distribution in e+e- annihilation at LEP. It is important to measure three related global properties. These reflect coherent dynamical processes in and among jets.


JETP Letters ◽  
2009 ◽  
Vol 90 (12) ◽  
pp. 775-779 ◽  
Author(s):  
S. L. Ginzburg ◽  
A. V. Nakin ◽  
N. E. Savitskaya

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