Three-dimensional (3D) planetary general circulation models (GCMs) have been derived from global climate models used to project 21st century changes in Earth's climate. GCMs are used to address questions regarding the climate-and habitability aspects of terrestrial planets within the solar system and assess the habitability of planets outside of the solar system, so called exoplanets. The development of GCMs has given rise to various results for concepts essential for determining potential habitable exoplanets such as the Habitable zone, hence intercomparison studies are of interest. In this project, the climate of an exoplanet with a static thermodynamic ocean will be modelled using ROCKE-3D, an open-source (3D) GCM developed at the NASA Goddard Institute for Space Studies. This is done in order to simulate the climate and examine how the simulations compare to other GCMs. The climate simulation will also be applied to an Earth-like planet in order to determine how an Earth-like climate will impact the results. We find that the climate on a rapidly rotating Aquaplanet receiving a G-star spectral energy distribution is surprisingly Earth-like. By contributing to a higher albedo, the ocean ice fraction of a rapidly rotating Aquaplanet was shown to impact the temperature and humidity structure considerably, despite the absence of Ocean Heat Transport. However, small differences between the simulations with and without sea ice were found for a tidally locked Aquaplanet receiving a M-star spectral energy distribution, which indicates that ROCKE-3D is not shutting off sea ice properly. Generally, ROCKE-3D shows similar results as CAM4 for the G-star runs and for the M-star, ROCKE-3D shows similar results to LMDG. / Tredimensionella (3D) planetariska allmänna cirkulationsmodeller (GCM) har härletts från de globala klimatmodeller som används för att projicera 2000-talets förändringar i jordens klimat. GCM används för att bemöta frågor om klimat- och beboelighetsaspekter av jordlika planeter inom solsystemet och bedöma beboeligheten för planeter utanför solsystemet, så kallade exoplaneter. Utvecklingen av GCM har gett upphov till olika resultat för begrepp som är väsentliga för att bestämma potentiella beboeliga exoplaneter såsom den beboerliga zonen, därför är jämförande studier av intresse. I detta projekt kommer klimatet för en exoplanet med ett statiskt termodynamiskt hav att modelleras av ROCKE-3D, en öppen källkod (3D) GCM utvecklad vid NASA Goddard Institute for Space Studies. Detta görs för att simulera klimatet och undersöka hur simuleringarna står sig i jämförelse med andra GCMs. Klimatsimuleringen kommer också att tillämpas på en jordliknande planet för att avgöra hur ett jordliknande klimat kommer att påverka resultaten. Vi finner att klimatet på en snabbt roterande vattenplanet som mottar en G-stjärnig spektral energifördelning är överraskande jordliknande. Genom att bidra till ett högre albedo visade havsisfraktionen av en snabbt roterande Aquaplanet att påverka temperatur- och fuktstrukturen avsevärt, trots frånvaron av havsvärmetransport. Små skillnader mellan simuleringarna med-och utan havsis påvisades för en tidvattenlåst vattenplanet som mottar en M-stjärnig spektral energifördelning, vilket tyder på att ROCKE-3D inte bortser havsis ordentligt. Generellt visar ROCKE-3D liknande resultat som CAM4 för en G-stjärna. För en M-stjärna visar ROCKE-3D liknande resultat som LMDG.

Master of Science / Department of Biological & Agricultural Engineering / Kyle R. Douglas-Mankin / The Great Plains once encompassed 160 million hectares of grassland in the central United States. In the last several decades, conversion of grassland to urban and agricultural production areas has caused significant increases in runoff and erosion. Past attempts to slow this hydrologic system degradation have shown success, but climate change could once again significantly alter the hydrology. The Intergovernmental Panel on Climate Change (IPCC) studies the state of knowledge pertaining to climate change. The IPCC has developed four possible future scenarios (A1, A2, B1 and B2). The output temperature and precipitation data for Northeast Kansas from fifteen A2 General Circulation Models (GCMs) were analyzed in this study. This analysis showed that future temperature increases are consistent among the GCMs. On the other hand, precipitation projections varied greatly among GCMs both on annual and monthly scales. It is clear that the results of a hydrologic study will vary depending on which GCM is used to generate future climate data. To overcome this difficulty, a way to take all GCMs into account in a hydrologic analysis is needed. Separate methods were used to develop three groups of scenarios from the output of fifteen A2 GCMs. Using a stochastic weather generator, WINDS, monthly adjustments for future temperature and precipitation were applied to actual statistics from the 1961 – 1990 to generate 105 years of data for each climate scenario. The SWAT model was used to simulate watershed processes for each scenario. The streamflow output was analyzed with the Indicators of Hydrologic Alteration program, which calculated multiple hydrologic indices that were then compared back to a baseline scenario. This analysis showed that large changes in projected annual precipitation caused significant hydrologic alteration. Similar alterations were obtained using scenarios with minimal annual precipitation change. This was accomplished with seasonal shifts in precipitation, or by significantly increasing annual temperature. One scenario showing an increase in spring precipitation accompanied by a decrease in summer precipitation caused an increase in both flood and drought events for the study area. The results of this study show that climate change has the potential to alter hydrologic regimes in Northeast Kansas.

<div>In this study, the performance of a flood control reservoir called Brookville Reservoir located in the East fork of the Whitewater River Basin, was analyzed using historic and futuristic data. For that purpose, USEPA HSPF software was used to develop the rainfall runoff modelling of the entire Whitewater River Basin up to Brookville, Indiana. Using uncontrolled flow data, the model was calibrated using 35 years of data and validated using 5 years by evaluating the goodness-offit with R2, RMSE, and NSE. Using historic data, the historic performances were accessed initially.</div><div>Using downscaled daily precipitation data obtained from. GCM for the considered region, flows were generated using the calibrated HSPF model. A reservoir operation model was built using the present operating policies. By appending the reservoir simulation model with HSPF model results, performance of the reservoir was assessed for the future conditions.</div>

A changing climate can severely perturb regional hydrology and thereby affect human societies and life in general. To assess and simulate such potential hydrological climate change impacts, hydrological models require reliable meteorological variables for current and future climate conditions. Global climate models (GCMs) provide such information, but their spatial scale is too coarse for regional impact studies. Thus, GCM output needs to be downscaled to a finer scale either through statistical downscaling or through dynamic regional climate models (RCMs). However, even downscaled meteorological variables are often considerably biased and therefore not directly suitable for hydrological impact modeling. This doctoral thesis discusses biases and other challenges related to incorporating climate model output into hydrological studies and evaluates possible strategies to address them. An analysis of possible sources of uncertainty stressed the need for full ensembles approaches, which should become standard practice to obtain robust and meaningful hydrological projections under changing climate conditions. Furthermore, it was shown that substantial biases in current RCM simulations exist and that correcting them is an essential prerequisite for any subsequent impact simulation. Bias correction algorithms considerably improved RCM output and subsequent streamflow simulations under current conditions. In addition, differential split-sample testing was highlighted as a powerful tool for evaluating the transferability of bias correction algorithms to changed conditions. Finally, meaningful projections of future streamflow regimes could be realized by combining a full ensemble approach with bias correction of RCM output: Current flow regimes in Sweden with a snowmelt-driven spring flood in April will likely change to rather damped flow regimes that are dominated by large winter streamflows.

L'étude de la plasticité cellulaire est un puissant outil pour comprendre le choix du destin cellulaire pendant la différenciation et dans les processus cancéreux lors de la transformation d'une cellule normale en une cellule maligne. Chez la drosophile, le facteur de transcription Gcm contrôle la détermination du destin glial. Dans des mutants gcm, les cellules qui se développent normalement en glie entrent dans la voie de différenciation neuronale alors que l'expression ectopique de gcm dans des progéniteurs neuronaux induit de la glie. Ces données font de Gcm un outil important pour comprendre les bases de la plasticité cellulaire. Mon projet de thèse vise à comprendre les mécanismes contrôlant la plasticité des cellules souches neurales. Nous avons ainsi montré que la capacité des CSNs à se convertir en glie après expression forcée de Glide/Gcm décline avec l'âge et que lors de l'entrée en phase quiescente ou apoptotique, ils ne peuvent plus être convertis. Nous avons aussi découvert que le processus de conversion du destin ne se manifeste pas uniquement par l'expression de marqueurs gliaux mais aussi par des changements spécifiques au niveau de la chromatine. D'une manière intéressante, nous avons aussi montré que la stabilité de la protéine Glide/Gcm est contrôlée par deux voies opposées, où Repo et l'histone acetyltransférase CBP jouent un rôle majeur.

This thesis explores architectural level optimizations to make secure systems more efficient, secure and affordable. It extends prior work for secure architecture in several areas. It proposes a new combined memory encryption and authentication scheme which uses very small on-chip storage area and incurs much less performance overhead compared with prior work. In addition, the thesis studies the issues of applying architectural support for data security to distributed shared memory systems. It presents a scheme which is scalable with large-scale systems and only introduces negligible performance overhead for confidentiality and integrity protection. Furthermore, the thesis also investigates another source of reducing performance overhead in secure systems through optimizing on-chip caching schemes and minimizing off-chip communications.

Climate change is a global concern as it may affect many aspects of life, including water supply. A tool used to model climate change’s impacts is called a General Circulation Model (GCM). GCMs project future scenarios including temperature and precipitation, but these are designed at a coarse resolution and require downscaling for employment for regional hydrologic modeling. There is a vast amount of research on downscaling and bias-correcting GCMs data, but it is unknown whether these techniques alter precipitation signals embedded in these models or reproduce climate states that are viable for water resource planning and management. Using the Tampa, Florida region for the case study, the first part of the research investigated 1) whether GCM and the downscaled, bias-corrected data were able to replicate important historical climate states; and 2) if climate state and/or transition probabilities in raw GCMs were preserved or lost in translation in the corrected downscaled data. This has an important implication in understanding the limitations of bias-correction methods and shortcomings of future projection scenarios. Results showed that the GCM, and downscaled and bias-corrected data did a poor job in capturing historical climate states for wet or dry states as well as the variability in precipitation including some extremes associated with El Niño events. Additionally, the corrected products ended up creating different cycles compared to the original GCMs. Since the corrected products did not preserve GCMs historical transition probabilities, more than likely similar types of deviations will occur for “future” predictions and therefore another correction could be applied if desired to reproduce the degree of spatial persistence of atmospheric features and climatic states that are hydrologically important. Furthermore, understanding the sustainability of water supply systems in a changing climate is required for undertaking adaptation measures. Many water suppliers employ GCMs to examine climate change’s effect on hydrologic variables such as precipitation, but little is known on the propagation of mismatch errors in downscaled products through cascade of hydrologic and systems models. The second study examined how deviations in downscaled GCMs precipitation propagated into streamflow and reservoir simulation models by using key performance metrics. Findings exhibited that simulations better reproduced the resilience metric, but failed to capture reliability, vulnerability and sustainability metrics. Discrepancies were attributed to multiple factors including variances in GCMs precipitation and streamflow cumulative distribution functions, and divergences in serial correlation and system memory. Finally, the last study examined multiple models, emission scenarios and an ensemble to obtain a range of possible implications on reservation operations for time periods 2030-2053, 2054-2077 and 2077-2100 since the future emission trajectory is uncertain. Currently there are four Representative Concentration Pathways (RCPs) as defined by the IPCC’s fifth Assessment Report which provides time-dependent projections based on different forecasted greenhouse gas emission and land use changes. For this research Representative Concentration Pathways (RCPs) 4.0, 6.0 and 8.5 were examined. Scenarios were evaluated utilizing reliability, resilience, vulnerability and sustainability performance metrics and compared to a historical baseline. Findings exhibited that RCP 4.5, the lower end of emission scenario, improved reservoir reliability and resilience over time. Conversely, RCP 8.5, highest emissions, resulted in a steady decline of all metrics by 2100. Although vulnerability increased by 2100 for all emission scenarios, on average RCP 4.5 was less vulnerable. Investigation of permits and adjustments to capture extreme flows might be necessary to combat climate changes and precipitation inputs along with improvements to atmospheric emissions, which correlated with system recuperation with time.

Kyoto University (京都大学) / 0048 / 新制・論文博士 / 博士(工学) / 乙第12679号 / 論工博第4081号 / 新制||工||1548(附属図書館) / 29812 / (主査)教授 寶 馨, 教授 松岡 譲, 准教授 山敷 庸亮 / 学位規則第4条第2項該当

This thesis deals with the design of hardware unit used for acceleration of the process of securing network traffic within Lawful Interception System developed as a part of Sec6Net project. First aim of the thesis is the analysis of available security mechanisms commonly used for securing network traffic. Based on this analysis, SSH protocol is chosen as the most suitable mechanism for the target system. Next, the thesis aims at introduction of possible variations of acceleration unit for SSH protocol. In addition, the thesis presents a detailed design description and implementation of the unit variation based on AES-GCM algorithm, which provides confidentiality, integrity and authentication of transmitted data. The implemented acceleration unit reaches maximum throughput of 2,4 Gbps.

The influence of anthropogenic emissions on aerosol distributions and the hydrological cycle are examined with a focus on monsoon precipitation over the Indian subcontinent, during January 2001 to December 2005, using the European Centre for Medium-Range Weather Forecasts-Hamburg (ECHAM5.5) general circulation model extended by the Hamburg Aerosol Module (HAM). The seasonal variability of aerosol optical depth (AOD) retrieved from the MODerate Resolution Imaging Spectroradiometer (MODIS) on board the Terra and Aqua satellite is broadly well simulated (R 0.6–0.85) by the model. The spatial distribution and seasonal cycle of the precipitation observed over the Indian region are reasonably well simulated (R 0.5 to 0.8) by the model, while in terms of absolute magnitude, the model underestimates precipitation, in particular in the south-west (SW) monsoon season. The model simulates significant anthropogenic aerosol-induced changes in clear-sky net surface solar radiation (dimming greater than -7 W m-2), which agrees well with the observed trends over the Indian region. A statistically significant decreasing precipitation trend is simulated only for the SWmonsoon season over the central-north Indian region, which is consistent with the observed seasonal trend over the Indian region. In the model, this decrease results from a reduction in convective precipitation, where there is an increase in stratiform cloud droplet number concentration (CDNC) and solar dimming that resulted from increased stability and reduced evaporation. Similarities in spatial patterns suggest that surface cooling, mainly by the aerosol indirect effect, is responsible for this reduction in convective activity. When changes in large-scale dynamics are allowed by slightly disturbing the initial state of the atmosphere, aerosol absorption in addition leads to a further stabilization of the lower troposphere, further reducing convective precipitation.