Dynamical Processes during Solidification

1983 ◽  
pp. 237-253
Author(s):  
J. H. Bilgram
Keyword(s):  
Dynamical Processes

Dynamical processes in the lower ionosphere

2003 ◽  
Vol 8 (5-6) ◽  
pp. 76-80 ◽  
Author(s):  
S.V. Panasenko ◽  
◽  
V.T. Rozumenko ◽  
O.F. Tyrnov ◽  
L.F. Chernogor ◽  
...  
Keyword(s):  
Lower Ionosphere ◽  
Dynamical Processes

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
Keyword(s):  
Dynamical Processes ◽  
Software Network

scholarly journals A comparison of the variability of biological nutrients against depth and potential density

2010 ◽  
Vol 7 (4) ◽  
pp. 1263-1269 ◽  
Author(s):  
J. While ◽  
K. Haines
Keyword(s):  
Temporal Variability ◽  
World Ocean ◽  
Biological Productivity ◽  
Potential Density ◽  
Dynamical Processes ◽  
Biogeochemical Models ◽  
Phosphate Silicate ◽  
Nutrient Variability ◽  
Series Study ◽  
Main Pycnocline

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.

scholarly journals The HAMMONIA Chemistry Climate Model: Sensitivity of the Mesopause Region to the 11-Year Solar Cycle and CO2 Doubling

2006 ◽  
Vol 19 (16) ◽  
pp. 3903-3931 ◽  
Author(s):  
H. Schmidt ◽  
G. P. Brasseur ◽  
M. Charron ◽  
E. Manzini ◽  
M. A. Giorgetta ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Solar Cycle ◽  
General Circulation ◽  
Climate Model ◽  
Temperature Response ◽  
Circulation Model ◽  
Max Planck ◽  
Dynamical Processes ◽  
Mesopause Region ◽  
Height Range

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.

GLOBAL PROPERTIES OF MULTIPLICITY DISTRIBUTIONS AND MULTIPLICITY CORRELATIONS IN e+e- ANNIHILATION AT LEP ENERGIES AS A MEASURE OF COHERENT DYNAMICS

1991 ◽  
Vol 06 (01) ◽  
pp. 55-60 ◽  
Author(s):  
SAUL BARSHAY
Keyword(s):  
Multiplicity Distribution ◽  
Dynamical Processes ◽  
Global Properties ◽  
Coherent Dynamics ◽  
Multiplicity Distributions

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.

Effect of the structure of a complex network on the properties of the dynamical processes on it

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

Historical Dynamics

2018 ◽  
Author(s):  
Peter Turchin
Keyword(s):  
Religious Conversion ◽  
Synthetic Approach ◽  
Dynamical Processes ◽  
Factors Affecting ◽  
Historical Processes ◽  
Wide Range ◽  
Historical Dynamics ◽  
State Breakdown ◽  
Political Economic ◽  
High Degree

Many historical processes are dynamic. Populations grow and decline. Empires expand and collapse. Religions spread and wither. Natural scientists have made great strides in understanding dynamical processes in the physical and biological worlds using a synthetic approach that combines mathematical modeling with statistical analyses. Taking up the problem of territorial dynamics—why some polities at certain times expand and at other times contract—this book shows that a similar research program can advance our understanding of dynamical processes in history. The book develops hypotheses from a wide range of social, political, economic, and demographic factors: geopolitics, factors affecting collective solidarity, dynamics of ethnic assimilation/religious conversion, and the interaction between population dynamics and sociopolitical stability. It then translates these into a spectrum of mathematical models, investigates the dynamics predicted by the models, and contrasts model predictions with empirical patterns. The book's highly instructive empirical tests demonstrate that certain models predict empirical patterns with a very high degree of accuracy. For instance, one model accounts for the recurrent waves of state breakdown in medieval and early modern Europe. And historical data confirm that ethno-nationalist solidarity produces an aggressively expansive state under certain conditions (such as in locations where imperial frontiers coincide with religious divides). The strength of the book's results suggests that the synthetic approach advocated can significantly improve our understanding of historical dynamics.

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