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1

Van Knowe, Glenn E. (Glenn Earnest), ed. A first course in atmospheric numerical modeling. Sundog Publishing, 2014.

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2

Atmospheric modeling, data assimilation, and predictability. Cambridge University Press, 2003.

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3

Lin, Yuh-Lang. Numerical modeling studies of wake vortex transport and evolution within the planetary boundary layer: FY94 July semi-annual report. Dept. of Marine, Earth and Atmospheric Sciences, North Carolina State University, 1994.

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4

Sigal, Anatoliy. Modeling the economy. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1096081.

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The textbook describes the main sections of the discipline "Modeling of economics", read by students in the master's program in the direction of training 38.04.05 "Business Informatics". The presentation of theoretical information is illustrated by a detailed analysis of specific numerical examples. The textbook contains the tasks of a comprehensive test in the discipline "Modeling of the economy".
 Meets the requirements of the federal state educational standards of higher education of the latest generation.
 For students of higher educational institutions studying for a master's de
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5

Mazo, Aleksandr, and Konstantin Potashev. The superelements. Modeling of oil fields development. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1043236.

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This monograph presents the basics of super-element modeling method of two-phase fluid flows occurring during the development of oil reservoir. The simulation is performed in two stages to reduce the spatial and temporal scales of the studied processes. In the first stage of modeling of development of oil deposits built long-term (for decades) the model of the global dynamics of the flooding on the super-element computational grid with a step equal to the average distance between wells (200-500 m). Local filtration flow, caused by the action of geological and technical methods of stimulation,
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6

Kalnay, Eugenia. Atmospheric Modeling, Data Assimilation and Predictability. Cambridge University Press, 2002.

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7

Kalnay, Eugenia. Atmospheric Modeling, Data Assimilation and Predictability. Cambridge University Press, 2002.

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8

An Introduction to Global Spectral Modeling (Atmospheric and Oceanographic Sciences Library). Springer, 2006.

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9

Williams, Paul D., and Thomas von Larcher. Modeling Atmospheric and Oceanic Flows: Insights from Laboratory Experiments and Numerical Simulations. American Geophysical Union, 2014.

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10

Williams, Paul D., and Thomas von Larcher. Modeling Atmospheric and Oceanic Flows: Insights from Laboratory Experiments and Numerical Simulations. American Geophysical Union, 2014.

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11

Williams, Paul D., and Thomas von Larcher. Modeling Atmospheric and Oceanic Flows: Insights from Laboratory Experiments and Numerical Simulations. American Geophysical Union, 2014.

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12

W, Mote Philip, O'Neill Alan 1950-, North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Study Institute on Numerical Modeling of the Global Atmosphere in the Climate System (1998 : Castelvecchio Pascoli, Italy), eds. Numerical modeling of the global atmosphere in the climate system. Kluwer Academic Publishers, 2000.

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13

Mesinger, Fedor, Miodrag Rančić, and R. James Purser. Numerical Methods in Atmospheric Models. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.617.

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The astonishing development of computer technology since the mid-20th century has been accompanied by a corresponding proliferation in the numerical methods that have been developed to improve the simulation of atmospheric flows. This article reviews some of the numerical developments concern the ongoing improvements of weather forecasting and climate simulation models. Early computers were single-processor machines with severely limited memory capacity and computational speed, requiring simplified representations of the atmospheric equations and low resolution. As the hardware evolved and mem
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14

Behrens, Jörn. Adaptive Atmospheric Modeling: Key Techniques in Grid Generation, Data Structures, and Numerical Operations with Applications (Lecture Notes in Computational Science and Engineering). Springer, 2006.

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15

Atmospheric numerical modeling resource enhancement and model convective parameterization/scale interaction studies: Report number 25. National Aeronautics and Space Administration, 1993.

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16

Pal, Arya S., Kaplan Michael L, and United States. National Aeronautics and Space Administration., eds. Numerical modeling studies of wake vortex transport and evolution within the planetary boundary layer: FY94 July semi-annual report. Dept. of Marine, Earth and Atmospheric Sciences, North Carolina State University, 1994.

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17

Yuh-Lang, Lin, and United States. National Aeronautics and Space Administration., eds. Numerical modeling studies of wake vortex transport and evolution within the planetary boundary layer: NASA grant NCC-1-188 : FY 97 annual report. National Aeronautics and Space Administration, 1998.

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18

United States. National Aeronautics and Space Administration., ed. Atmospheric numerical modeling resource enhancement and model convective parameterization/scale interaction studies, reporting period, October 6, 1987 - December 31, 1993. National Aeronautics and Space Administration, 1993.

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19

Adaptive Atmospheric Modeling: Key Techniques in Grid Generation, Data Structures, and Numerical Operations with Applications (Lecture Notes in Computational Science and Engineering Book 54). Springer, 2007.

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20

Tibaldi, Stefano, and Franco Molteni. Atmospheric Blocking in Observation and Models. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.611.

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The atmospheric circulation in the mid-latitudes of both hemispheres is usually dominated by westerly winds and by planetary-scale and shorter-scale synoptic waves, moving mostly from west to east. A remarkable and frequent exception to this “usual” behavior is atmospheric blocking. Blocking occurs when the usual zonal flow is hindered by the establishment of a large-amplitude, quasi-stationary, high-pressure meridional circulation structure which “blocks” the flow of the westerlies and the progression of the atmospheric waves and disturbances embedded in them. Such blocking structures can hav
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21

Xue, Yongkang, Yaoming Ma, and Qian Li. Land–Climate Interaction Over the Tibetan Plateau. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.592.

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The Tibetan Plateau (TP) is the largest and highest plateau on Earth. Due to its elevation, it receives much more downward shortwave radiation than other areas, which results in very strong diurnal and seasonal changes of the surface energy components and other meteorological variables, such as surface temperature and the convective atmospheric boundary layer. With such unique land process conditions on a distinct geomorphic unit, the TP has been identified as having the strongest land/atmosphere interactions in the mid-latitudes.Three major TP land/atmosphere interaction issues are presented
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22

Räisänen, Jouni. Future Climate Change in the Baltic Sea Region and Environmental Impacts. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.634.

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The warming of the global climate is expected to continue in the 21st century, although the magnitude of change depends on future anthropogenic greenhouse gas emissions and the sensitivity of climate to them. The regional characteristics and impacts of future climate change in the Baltic Sea countries have been explored since at least the 1990s. Later research has supported many findings from the early studies, but advances in understanding and improved modeling tools have made the picture gradually more comprehensive and more detailed. Nevertheless, many uncertainties still remain.In the Balt
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