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Dissertations / Theses on the topic 'Model Seasonal Cycle'

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1

Mortin, Jonas. "On the Arctic Seasonal Cycle." Doctoral thesis, Stockholms universitet, Meteorologiska institutionen (MISU), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-100008.

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The seasonal cycle of snow and sea ice is a fundamental feature of the Arctic climate system. In the Northern Hemisphere, about 55 million km2 of sea ice and snow undergo complete melt and freeze processes every year. Because snow and sea ice are much brighter (higher albedo) than the underlying surface, their presence reduces absorption of incoming solar energy at high latitudes. Therefore, changes of the sea-ice and snow cover have a large impact on the Arctic climate and possibly at lower latitudes. One of the most important determining factors of the seasonal snow and sea-ice cover is the
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2

Mongwe, Ndunisani Precious. "The seasonal cycle of CO₂ fluxes in the Southern Ocean: a model spatial scale sensitivity analysis." Master's thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/29014.

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Includes bibliographical references<br>A recent study by Lenton et al., 2013, compared the mean seasonal cycle of air-sea CO₂ flux in the Southern Ocean(SO) over 1990 – 2009 period using five ocean biogeochemical models(BGMs) and atmospheric and ocean inversion models with monthly mean observations for the year 2000. This was done using a set of geographic boundaries to defined sub-domains of the SO consistent with the Regional Carbon Cycle and Assessment and Processes (RECCAP) protocol. Lenton et al., 2013 found that the seasonal cycle anomaly of the five BGMs better resolved observations of
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3

Gordon, Lawrence Joseph. "Analysis of a simulation of the seasonal cycle in the tropical Pacific Ocean in an eddy-resolving global ocean model." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/23537.

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Approved for public release; distribution is unlimited<br>This paper examines the multi-level, primitive equation, global ocean circulation model of Semtner and Chervin for its ability to simulate the seasonal cycle in the tropical Pacific Ocean. The result of a 20-year integration of this model using annual mean wind forcing was reported in Semtner and Chervin (1988). This was the first global eddyresolving ocean calculation and it showed many realistic features of ocean circulation. The phase of the simulation analyzed in this report incorporates seasonally varying wind forcing from th
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4

Gatfaoui, Jamel. "Modeling Chinese provincial business cycles." Thesis, Aix-Marseille, 2012. http://www.theses.fr/2012AIXM1110.

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Cette thèse étudie les cycles économiques provinciaux chinois durant la période 1989-2009. Dans un premier temps, Nous utilisons une variété de techniques afin d'examiner la nature et le degré de comouvement entre les cycles de croissance provinciaux chinois. Nous détectons différentes propriétés des cycles de croissance provinciaux. En utilisant une méthodologie de classification basée sur un modèle, nous constatons que les provinces peuvent être classées parmi cinq classes en fonction des mesures standards des caractéristiques cycliques. Bien que la majorité des provinces a connu la récessio
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5

Van, Damme Martin. "Assessment of global atmospheric ammonia using IASI infrared satellite observations." Doctoral thesis, Universite Libre de Bruxelles, 2015. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209085.

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ENGLISH:<p>The natural nitrogen cycle has been and is significantly perturbed by anthropogenic emissions of reactive nitrogen (Nr) compounds into the atmosphere, resulting from our production of energy and food. In the last century global ammonia (NH3) emissions have doubled and represent nowadays more than half of total the Nr emissions. NH3 is also the principal atmospheric base in the atmosphere and rapidly forms aerosols by reaction with acids. It is therefore a species of high relevance for the Earth's environment, climate and human health (Chapter 1). As a short-lived species, NH3 is hig
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6

Domingues, Catia Motta, and Catia Domingues@csiro au. "Kinematics and Heat Budget of the Leeuwin Current." Flinders University. SOCPES, 2006. http://catalogue.flinders.edu.au./local/adt/public/adt-SFU20060612.211358.

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This study investigates the upper ocean circulation along the west Australian coast, based on recent observations (WOCE ICM6, 1994/96) and numerical output from the 1/6 degree Parallel Ocean Program model (POP11B 1993/97). Particularly, we identify the source regions of the Leeuwin Current, quantify its mean and seasonal variability in terms of volume, heat and salt transports, and examine its heat balance (cooling mechanism). This also leads to further understanding of the regional circulation associated with the Leeuwin Undercurrent, the Eastern Gyral Current and the southeast Indian Subtrop
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7

Hsu, Wei-Ching. "The variability and seasonal cycle of the Southern Ocean carbon flux." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49079.

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Both physical circulation and biogeochemical characteristics are unique in the Southern Ocean (SO) region, and are fundamentally different from those of the northern hemisphere. Moreover, according to previous research, the oceanic response to the trend of the Southern Annual Mode (SAM) has profound impacts on the future oceanic uptake of carbon dioxide in the SO. In other words, the climate and circulation of the SO are strongly coupled to the overlying atmospheric variability. However, while we have understanding on the SO physical circulation and have the ability to predict the future chang
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8

Liu, Yongwen, Shilong Piao, Xu Lian, Philippe Ciais, and W. Kolby Smith. "Seasonal Responses of Terrestrial Carbon Cycle to Climate Variations in CMIP5 Models: Evaluation and Projection." AMER METEOROLOGICAL SOC, 2017. http://hdl.handle.net/10150/625331.

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Seventeen Earth system models (ESMs) from phase 5 of the Coupled Model Intercomparison Project (CMIP5) were evaluated, focusing on the seasonal sensitivities of net biome production (NBP), net primary production (NPP), and heterotrophic respiration (Rh) to interannual variations in temperature and precipitation during 1982-2005 and their changes over the twenty-first century. Temperature sensitivity of NPP in ESMs was generally consistent across northern high-latitude biomes but significantly more negative for tropical and subtropical biomes relative to satellite-derived estimates. The tempera
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9

Murray-Tortarolo, Guillermo Nicolas. "Recent trends in the land carbon cycle." Thesis, University of Exeter, 2015. http://hdl.handle.net/10871/18661.

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Land ecosystems absorb about a quarter of all human emissions of carbon (C) by fossil fuel burning and land use change. This percentage varies greatly within years due to the land ecosystem response to climate variability and disturbance. Significant uncertainties remain in our knowledge of the magnitude and spatio-temporal changes in the land C sinks. The aims of my thesis are 1) to evaluate the capacity of different dynamic global vegetation models (DGVMs) to reproduce the fluxes and stocks of the land C cycle and 2) to analyse the drivers of change in the land C over the last two decades (1
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10

Pyeatt, John Samuel. "The seasonal cycle of planetary-scale divergent circulations a comparison of observed fields and model simulations /." 1987. http://catalog.hathitrust.org/api/volumes/oclc/16461301.html.

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Thesis (M.S.)--University of Wisconsin--Madison, 1987.<br>Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 93-97).
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11

Tjiputra, Jerry Fong. "Analysis of seasonal chlorophyll and nutrient distribution using an adjoint three-dimensional ocean carbon cycle model." 2004. http://catalog.hathitrust.org/api/volumes/oclc/56882683.html.

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Thesis (M.S.)--University of Wisconsin--Madison, 2004.<br>Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 39-42).
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12

Behara, Ambica. "Effect of Rainfall and River Discharge on the North Indian Ocean." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4102.

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In the north Indian Ocean, the Bay of Bengal (BoB or bay) and the Eastern Arabian Sea (EAS) receive a huge amount of rainfall during summer. Several rivers along their boundaries discharge enormous amounts of freshwater into the coastal regions. Strong near-surface stratification induced by rainfall and river discharge has been linked to warmer sea surface temperature (SST) of the BoB, which forms as a favourable ground for the formation and intensification of the monsoon disturbances during summer. In this thesis, the influence of rainfall and river discharge on the dynamics and thermo-dynami
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13

Hameed, Saji N. "Simulations Of Tropical Surface Winds : Seasonal Cycle And Interannual Variability." Thesis, 1997. https://etd.iisc.ac.in/handle/2005/1783.

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14

Hameed, Saji N. "Simulations Of Tropical Surface Winds : Seasonal Cycle And Interannual Variability." Thesis, 1997. http://etd.iisc.ernet.in/handle/2005/1783.

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15

Vidyunmala, V. "An Assessment Of The Simulation Of Monsoon And Inter Tropical Convergence Zone In Coupled Ocean-Atmosphere Models." Thesis, 2008. https://etd.iisc.ac.in/handle/2005/903.

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Monsoons and Intertropical Convergence Zones (ITCZ) exhibit variability at various temporal and spatial scales. The temporal scale of variability encompasses scales from the intraseasonal through interannual to interdecadal time scales. Anthropogenic climate change can also have an impact on ITCZ and monsoons. Thus it is necessary to assess the ability of coupled ocean atmospheric models (commonly known as AOGCM) to simulate these aspects of variability of tropical climate. This has been studied with simulations from 20 AOGCMs and their AGCM from IPCCAR4 archive. In addition, we have used our
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16

Vidyunmala, V. "An Assessment Of The Simulation Of Monsoon And Inter Tropical Convergence Zone In Coupled Ocean-Atmosphere Models." Thesis, 2008. http://hdl.handle.net/2005/903.

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Monsoons and Intertropical Convergence Zones (ITCZ) exhibit variability at various temporal and spatial scales. The temporal scale of variability encompasses scales from the intraseasonal through interannual to interdecadal time scales. Anthropogenic climate change can also have an impact on ITCZ and monsoons. Thus it is necessary to assess the ability of coupled ocean atmospheric models (commonly known as AOGCM) to simulate these aspects of variability of tropical climate. This has been studied with simulations from 20 AOGCMs and their AGCM from IPCCAR4 archive. In addition, we have used our
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