Made available in DSpace on 2015-03-26T13:50:12Z (GMT). No. of bitstreams: 1 texto completo.pdf: 11077827 bytes, checksum: bbdd1a123f813f0937be6a88333b1244 (MD5) Previous issue date: 2009-03-26 / Fundação de Amparo a Pesquisa do Estado de Minas Gerais / Based upon numerical experiments lasting for 1500 years long conducted with a coupled model of intermediate complexity, LOVECLIM, and under different CO2 concentrations, changes of the climatic system had been analyzed, through coupled (ocean and atmosphere) and uncoupled simulations (atmosphere). This allows to investigate the role of the ocean on climate changes. The numerical experiment carried out with 700 ppm of CO2 in the atmosphere, delivers an increase in the radiative balance due to the enhancement in the longwave component, moreover air temperature increases up to approximately 3°C, in respect to the control climate. These changes lead to a reduction of the trade winds on the east Pacific and the Atlantic Ocean, and an intensification of westerlies especially on the oceanic areas in the Northern Hemisphere. In the Southern Hemisphere, positive precipitation anomalies occur in the tropical ocean whereas a reduction is found in the tropical lands These results are similar to current patterns in associated with El Niño. Changes of ice thickness show reduction up to 1 m in Weddell and Amuddsen Seas. In east Antarctic, from the Ross Sea to the Indian part of Antarctic Ocean, the absence of sea ice is the most prominent feature in the sensitivity experiments. / Com base em experimentos de sensibilidade numérica de longo prazo conduzidos com um modelo acoplado Oceano-Atmosfera-Vegetação-Gelo (LOVECLIM) e sob diferentes concentrações de CO2, foram analisadas alterações do sistema climático, fazendo uso de experimentos acoplados (oceano e atmosfera) e desacoplados (atmosfera). Isto possibilita investigar o papel do oceano. O experimento numérico para um cenário com 700 ppm de CO2 na atmosfera, mostra um incremento no saldo de radiação devido ao aumento no balanço de ondas longas, bem como um acréscimo médio na temperatura do ar de aproximadamente 3°C. Estas mudanças produzem uma desintensificação dos ventos alísios sobre o Pacífico leste e sobre o Oceano Atlântico, e uma intensificação dos ventos de oeste especialmente sobre as áreas oceânicas no Hemisfério Norte. No Hemisfério Sul, observa-se maior ocorrência de precipitação na faixa tropical oceânica sobre as regiões dos oceanos Pacífico e Atlântico e uma diminuição sobre as regiões continentais. As alterações no vento e precipitação acontecem devido a sensibilidade da temperatura da superfície do mar ao acréscimo de CO2. Estes resultados são similares aos padrões atuais em anos de eventos El Niño. Os resultados no campo gelo marinho mostram a redução em sua espessura de até 1m em particular no mar de Weddell e no mar de Amundsen. Na parte leste da Antártica desde o mar de Ross até a zona Antártica do oceano Índico, a ausência do gelo foi a característica principal dos experimentos de sensibilidade climática.

The subject of this diploma thesis is study of the impacts of different implementations of turbulence and convection in the Regional Climate Model (RegCM, version 4.6) on the ability to predict the chemical pollution of the troposphere in Europe, which was simulated by the chemical transport model CAMx (Comprehensive Air quality Model with extensions, version 6.50) driven by RegCM meteorology using offline coupling of theese two models. Thesis also includes a brief description of the tropospheric chemistry, a discussion of the influence of meteorological conditions on changes in pollutant concentrations in the troposphere, a brief introduction to the regional climate modeling, a description of both models and method of their coupling. The main focus of the thesis is the analysis of the impacts of different parameterizations in RegCM model simulations on some climatic elements, validation of air temperature and precipitation, analysis of the impacts of changes in driving meteorology on ozone, nitrogen dioxide, sulfur dioxide and fine aerosol, validation of model concentrations of these pollutants with measurements at rural monitoring stations and comparison of column concentrations of nitrogen dioxide with satellite measurements.

With a nearly twice as strongly pronounced temperature increase compared to that of the Northern Hemisphere, the Arctic is especially susceptible to global climate change. The effect of clouds on the Arctic warming is especially uncertain, which is caused by misrepresented cloud microphysical processes in atmospheric models. This thesis aims at employing a scale- and definition-aware comparison of models and observations and will propose changes how to better parameterize Arctic clouds in atmospheric models. In the first part of this thesis, ECHAM6, which is the atmospheric component of the MPI-ESM global climate model, is compared to spaceborne lidar observations of clouds from the CALIPSO satellite. This comparison shows that ECHAM6 overestimates Arctic low-level, liquid containing clouds over snow- and ice-covered surfaces, which consequently leads to an overestimated amount of radiative energy received by the surface. Using sensitivity studies, it is shown that the probable cause of the model biases in cloud amount and phase is related to misrepresented cloud microphysical parameterization (i.e., parameterization of the Wegener-Bergeron-Findeisen process and of the cloud cover scheme) in ECHAM6. By revising those processes, a better representation of cloud amount and cloud phase is achieved, which helps to more accurately simulated the amount of radiative energy received by the Arctic in ECHAM6. The second part of this thesis will focus on a comparison of kilometer-scale simulation with the ICON model to aircraft observations from the ACLOUD campaign that took place in May/June 2017 over the sea ice-covered Arctic Ocean north of Svalbard, Norway. By comparing measurements of solar and terrestrial surface irradiances during ACLOUD flights to the respective quantities in ICON, it is shown that the model systematically overestimates the transmissivity of the mostly liquid clouds during the campaign. This model bias is traced back to the way cloud condensation nuclei get activated into cloud droplets in the two-moment, bulk microphysical scheme used. By parameterizing subgrid-scale vertical motion as a function of turbulent kinetic energy, a more realistic CCN activation into cloud droplets is achieved. This consequently results in an improved representation of cloud optical properties in the ICON simulations. Furthermore, the results of two studies to which contributions have been made during the Ph.D. will be summarized. In Petersik et al. 2018, the impact of subgrid-scale variability in clear-sky relative humidity on hygroscopic growth of aerosols in the aerosol-climate model ECHAM6-HAM2 has been explored. It was shown that the revised parameterization of hygroscopic growth of aerosols resulted in a stronger swelling of aerosol particles, which consequently causes an increased backscattering of solar radiation. In the study of Costa-Suros et al. 2019, it is explored whether it is possible to detect and attribute aerosol-cloud interactions in large-eddy simulation over Germany. It was shown that an increase in cloud droplet number concentration could be attributed to an increased aerosol load, while such an attribution was not possible for other cloud micro- and macrophysical variables.

京都大学 / 0048 / 新制・論文博士 / 博士(理学) / 乙第13202号 / 論理博第1561号 / 新制||理||1635(附属図書館) / 京都大学大学院理学研究科・地球惑星科学専攻 / (主査)教授 塩谷 雅人, 准教授 重 尚一, 教授 秋友 和典 / 学位規則第4条第2項該当 / Doctor of Science / Kyoto University / DGAM

Until now, the lack of time-continuous, terrestrial paleoenvironmental data from the Pleistocene Arctic has made model simulations of past interglacials difficult to assess. Here, we compare climate simulations of four warm interglacials at Marine Isotope Stage (MIS) 1 (9ka), 5e (127 ka), 11c (409 ka), and 31 (1072 ka) with new proxy climate data recovered from Lake El’gygytgyn, NE Russia. Climate reconstructions of the Mean Temperature of the Warmest Month (MTWM) indicate conditions 2.1, 0.5 and 3.1 ºC warmer than today during MIS 5e, 11c, and 31 respectively. While the climate model captures much of the observed warming during each interglacial, largely in response to boreal summer orbital forcing, the extraordinary warmth of MIS 11c relative to the other interglacials in the proxy records remain difficult to explain. To deconvolve the contribution of multiple influences on interglacial warming at Lake El’gygytgyn, we isolated the influence of vegetation, sea ice, and circum-Arctic land ice feedbacks on the climate of the Beringian interior. Vegetation-land surface feedback simulations during all four interglacials show expanding boreal forest cover with increasing summer insolation intensity. A deglaciated Greenland is shown to have a minimal effect on Northeast Asian temperature during the warmth of stage 11c and 31 (Melles et al., 2012). A prescribed enhancement of oceanic heat transport into the Arctic ocean has some effect on Beringian climate, suggesting intrahemispheric coupling seen in comparisons between Lake El’gygytgyn and Antarctic sediment records might be related to linkages between Antarctic ice volume and ocean circulation. The exceptional warmth of MIS 11c remains enigmatic however, relative to the modest orbital and greenhouse gas forcing during that interglacial. Large Northern Hemisphere ice sheets during Plio-Pleistocene glaciation causes a substantial decrease in Mean Temperature of the Coldest Month (MTCM) and Mean Annual Precipitation (PANN) causing significant Arctic aridification. Aridification and frigid conditions can be linked to a combination of mechanical forcing from the Laurentide and Fennoscandian ice sheets on mid-tropospheric westerly flow and expanded sea-ice cover causing albedo-enhanced feedback.

No description available.

This thesis examines the utility of mathematical complexity measures for the analysis of stratospheric dynamics. Through theoretical considerations and tests with artificial data sets, e.g., the iteration of the logistic map, suitable parameters are determined for the application of the statistical entropy measures sample entropy (SE) and Rényi entropy (RE) to methane (a long-lived stratospheric tracer) data from simulations of the SOCOL chemistry-climate model. The SE is shown to be useful for quantifying the variability of recurring patterns in a time series and is able to identify tropical patterns similar to those reported by previous studies of the ``tropical pipe'' region. However, the SE is found to be unsuitable for use in polar regions, due to the non-stationarity of the methane data at extra-tropical latitudes. It is concluded that the SE cannot be used to analyse climate complexity on a global scale. The focus is turned to the RE, which is a complexity measure of probability distribution functions (PDFs). Using the second order RE and a normalisation factor, zonal PDFs of ten consecutive days of methane data are created with a Bayesian optimal binning technique. From these, the RE is calculated for every day (moving 10-day window). The results indicate that the RE is a promising tool for identifying stratospheric mixing barriers. In Southern Hemisphere winter and early spring, RE produces patterns similar to those found in other studies of stratospheric mixing. High values of RE are found to be indicative of the strong fluctuations in tracer distributions associated with relatively unmixed air in general, and with gradients in the vicinity of mixing barriers, in particular. Lower values suggest more thoroughly mixed air masses. The analysis is extended to eleven years of model data. Realistic inter-annual variability of some of the RE structures is observed, particularly in the Southern Hemisphere. By calculating a climatological mean of the RE for this period, additional mixing patterns are identified in the Northern Hemisphere. The validity of the RE analysis and its interpretation is underlined by showing that qualitatively similar patterns can be seen when using observational satellite data of a different tracer. Compared to previous techniques, the RE has the advantage that it requires significantly less computational effort, as it can be used to derive dynamical information from model or measurement tracer data without relying on any additional input such as wind fields. The results presented in this thesis strongly suggest that the RE is a useful new metric for analysing stratospheric mixing and its variability from climate model data. Furthermore, it is shown that the RE measure is very robust with respect to data gaps, which makes it ideal for application to observations. Hence, using the RE for comparing observations of tracer distributions with those from model simulations potentially presents a novel approach for analysing mixing in the stratosphere.

The Himalaya plays a vital role in shaping the hydro-climate of South Asia and beyond, but their climate has not yet been monitored and modelled as well as some other regions. As the summer monsoon is the dominant climate system over South Asia, including the Himalaya, realistic simulation of the South Asian summer monsoon (SASM) should be a prerequisite for the satisfactory simulation of the Himalayan climate. The present research tests the assumption that higher resolution modelling will provide improved representation of the SASM, both regionally and over the Himalaya region. The first part of this research assesses the strength and stability of the temporal relationships between the monsoon rainfall indices (MRIs) and the large-scale monsoon circulation indices (MCIs), as a precursor to using such indices for model evaluation. The remainder of the thesis evaluates model performance in simulating various characteristics of SASM, mainly with regard to precipitation. In particular, the sensitivity of a regional climate model (RCM) simulation to domain size and added value of high resolution RCM simulation are evaluated. For this purpose, the Hadley Centre unified model - HadGEM is utilized in its regional and, in few instances, global configurations. The RCM simulations are performed at 0.44° and 0.11° horizontal resolutions and they are forced by the ERA interim dataset. Results show that i) the MRI-MCI relationship exhibits considerable low-frequency variability, ii) RCM simulation of SASM, particularly precipitation, shows sensitivity to domain size and simulation with a moderately sized domain that partially excludes bias prone equatorial Indian ocean outperform those with larger domains, iii) high resolution RCM simulation adds value in many aspects of SASM precipitation, including the seasonal mean, relative frequency distribution, extremes, and active and break monsoon composites, but the improvements are generally seen over the Indo-Gangetic plain rather than the Himalaya. The findings promote use of a high resolution RCM over a moderate sized domain (~ 25,000,000 sq. km) for the realistic simulation of SASM, but the study needs to be repeated with multiple realizations and different RCMs before arriving at a robust conclusion.

La vitiviniculture est un secteur économique et culturel important en Bourgogne. L’actuel changement climatique soulève diverses questions notamment sur son impact sur les cultures. Dans cette thèse, l’idée est d’élaborer une méthodologie afin de répondre à la problématique : quels seront les impacts possibles des changements de températures sur la phénologie du Pinot noir en Bourgogne à l’horizon 2031-2048 ?L’évolution des températures en Bourgogne depuis 1961 est caractérisée par un saut positif de température à la fin des années 1980 suivi par une période où la température augmente d’environ 1,5°C.L’un des intérêts de cette thèse réside dans l’élaboration, en suivant une stratégie élaborée durant la thèse, d’une base de données spatialisée réalisée sur la période 1989-2009 afin d’estimer la capacité du modèle WRF à reproduire le climat bourguignon en désagrégeant des données climatiques de large échelle. Le modèle reproduit de façon satisfaisante le cycle saisonnier et la variabilité spatiale climatique globale aux biais près (froid sur les Tx et chauds sur les Tn).Pour régionaliser le changement climatique, WRF a été utilisé pour désagréger des données issues du scénario SRES/A2 sur les périodes 1970-1987 et 2031-2048. Après avoir été évalués et intercomparés trois modèles phénologiques utilisant les données de températures moyennes pour simuler les dates d’occurrence des stages phénologiques du Pinot noir, ont été appliqués sur ces désagrégations.L’impact de l’augmentation des températures à l’horizon 2031-2048 (SRES/A2), estimée à 1,35°C en moyenne, se caractérise par une précocité de la floraison d’au moins 7 jours et une précocité de la véraison d’au moins 15 jours. La durée interstade est également diminuée de l’ordre de 5 jours. / The viticulture is an important economic and cultural sector in Burgundy. The current climate change raises a number of issues including its impact on crops. In this thesis, the idea is to develop a methodology to address the problem: what are the potential impacts of changes in temperature on the phenology of Pinot noir in Burgundy for years 2031-2048?The evolution of temperatures in Burgundy since 1961 is characterized by a positive temperature shift at the end of the 1980s followed by a period where the temperature increases of about 1.5 ° C.One of the interests of this thesis is to develop, following a strategy developed during the thesis, a spatial database conducted over the period 1989-2009 to estimate the ability of the WRF model to reproduce the climate Burgundy by disaggregating large scale data. The model reproduces satisfactorily the seasonal and spatial variability in global climate despite bias (cold on the Tx and hot on the Tn).To regionalize the climate change, WRF was used to disaggregate data from the scenario SRES/A2 on the periods 1970-1987 and 2031-2048. After being evaluated and inter-compared three phenological models, using average temperatures data to simulate the dates of occurrence of phenological stages of Pinot Noir, have been applied to these decompositions.The impact of warming temperatures on the horizon 2031-2048 (SRES/A2), estimated at 1.35 ° C on average, is characterized by an earlier flowering and veraison of about 7 and 15 days respectively. The interstadial duration is also reduced of about 5 days.

L'augmentation du bilan de masse en surface de la calotte polaire Antarctique causée par celle des chutes de neige est la seule contribution négative à l'élévation du niveau de mer attendue dans le courant du 21ème siècle dans le cadre du réchauffement climatique causé par les activités humaines. La régionalisation dynamique de projections climatiques issues de modèles couplés océans-atmosphère est la méthode la plus couramment utilisée pour estimer les variations futures du climat Antarctique. Néanmoins, de nombreuses incertitudes subsistent suite à l'application de ces méthodes, en particulier en raison des biais conséquents sur les conditions océaniques de surface et sur la circulation atmosphérique aux hautes latitudes de l’Hémisphère Sud dans les modèles couplés.Dans la première partie de ce travail, différentes méthodes de corrections de biais des conditions océanique de surface ont été évaluées. Les résultats ont permis de retenir une méthode quantile-quantile pour la température de surface de l'océan et une méthode d'analogues pour la concentration en glace de mer. En raison de la forte sensibilité du climat future Antarctique aux variations de couverture de glace de mer dans l'Océan Austral, les conditions océaniques issues de deux modèles couplés, NorESM1-M et MIROC-ESM, présentant des diminutions d’étendues de glace de mer hivernales largement différentes (-14 et -45%) ont été retenues. Les conditions océaniques provenant d'un scénario RCP8.5 de ces deux modèles ont été corrigées afin de forcer le modèle atmosphérique global ARPEGE.Par la suite, ARPEGE a été utilisé dans une configuration grille-étirée, permettant d'atteindre une résolution horizontale de 40 kilomètres sur l'Antarctique. Il a été contraint aux limites par les conditions océaniques de surface observées et celles issues des simulations historiques des modèles NorESM1-M et MIROC-ESM pour la période récente (1981-2010). Pour la fin du 21ème siècle (2071-2100), les forçages océaniques originaux et corrigés issus de ces deux derniers modèles ont été utilisés. L'évaluation pour le présent a permis de mettre en évidence, la capacité du modèle ARPEGE de reproduire le climat et le bilan de masse de surface Antarctique ainsi que la persistance d'erreurs substantielles sur la circulation atmosphérique y compris dans la simulation forcée par les conditions océaniques observées. Pour le climat futur, l'utilisation des forçages océaniques MIROC-ESM corrigés a engendré des augmentations supplémentaires significatives à l'échelle continentale pour les températures hivernales et le bilan de masse annuel.Enfin, ARPEGE a été corrigé en ligne, à l'aide d'une climatologie des termes de rappel du modèle issus d'une simulation guidée par les réanalyses climatologiques. L'application de cette méthode sur la période récente a très largement amélioré la modélisation de la circulation atmosphérique et du climat de surface Antarctique. L'application pour le climat futur suggère des augmentations de températures (+0.7 à +0.9 C) et de précipitations (+6 à +9%) supplémentaires par rapport à celles issues des scénarios réalisés sans correction atmosphérique. Le forçage de modèles climatiques régionaux ou de dynamique glaciaire avec les scénarios ARPEGE corrigés est à explorer au regard des impacts potentiellement importants pour la calotte Antarctique et sa contribution à l'élévation du niveau des mers. / The increase of the Antarctic ice-sheet surface mass balance due to rise in snowfall is the only expected negative contribution to sea-level rise in the course of the 21st century within the context of global warming induced by mankind. Dynamical downscaling of climate projections provided by coupled ocean-atmosphere models is the most commonly used method to assess the future evolution of the Antarctic climate. Nevertheless, large uncertainties remain in the application of this method, particularly because of large biases in coupled models for oceanic surface conditions and atmospheric large-scale circulation at Southern Hemisphere high latitudes.In the first part of this work, different bias-correction methods for oceanic surface conditions have been evaluated. The results have allowed to select a quantile-quantile method for sea surface temperature and an analog method for sea-ice concentration. Because of the strong sensitivity of Antarctic surface climate to the variations of sea-ice extents in the Southern Ocean, oceanic surface conditions provided by two coupled models, NorESM1-M and MIROC-ESM, showing clearly different trends (respectively -14 and -45%) on winter sea-ice extent have been selected. Oceanic surface conditions of the ``business as usual" scenario (RCP8.5) coming from these two models have been corrected in order to force the global atmospheric model ARPEGE.In the following, ARPEGE has been used in a stretched-grid configuration, allowing to reach an horizontal resolution around 40 kilometers on Antarctica. For historical climate (1981-2010), the model was driven by observed oceanic surface conditions as well as by those from MIROC-ESM and NorESM1-M historical simulation. For late 21st century (2071-2100), original and bias corrected oceanic conditions from the latter two model have been used. The evaluation for present climate has evidenced excellent ARPEGE skills for surface climate and surface mass balance as well as large remaining errors on large-scale atmospheric circulation even when using observed oceanic surface conditions. For future climate, the use of bias-corrected MIROC-ESM oceanic forcings has yielded an additionally significant increase in winter temperatures and in annual surface mass balance at the continent-scale.In the end, ARPEGE has been corrected at run-time using a climatology of tendency errors coming from an ARPEGE simulation driven by climate reanalyses. The application of this method for present climate has dramatically improved the modelling of the atmospheric circulation and antarctic surface climate. The application for the future suggests significant additional warming (~ 0.7 to +0.9 C) and increase in precipitation (~ +6 to +9 %) with respect to the scenarios realized without atmospheric bias correction. Driving regional climate models or ice dynamics model with corrected ARPEGE scenarios is to explored in regards of the potentially large-impacts on the Antarctic ice-sheet and its contribution to sea-level rise.