This study explores the viability of parameter estimation in the comprehensive general circulation model ECHAM6 using ensemble Kalman filter data assimilation techniques. Four closure parameters of the cumulus-convection scheme are estimated using increasingly less idealized scenarios ranging from perfect-model experiments to the assimilation of conventional observations. Updated parameter values from experiments with real observations are used to assess the error of the model state on short 6 h forecasts and on climatological timescales. All parameters converge to their default values in single parameter perfect-model experiments. Estimating parameters simultaneously has a neutral effect on the success of the parameter estimation, but applying an imperfect model deteriorates the assimilation performance. With real observations, single parameter estimation generates the default parameter value in one case, converges to different parameter values in two cases, and diverges in the fourth case. The implementation of the two converging parameters influences the model state: Although the estimated parameter values lead to an overall error reduction on short timescales, the error of the model state increases on climatological timescales.

In this paper we analyse aerosol loading and its direct radiative effects over the Bay of Bengal (BoB) and Arabian Sea (AS) regions for the Integrated Campaign on Aerosols, gases and Radiation Budget (ICARB) undertaken during 2006, using satellite data from the MODerate Resolution Imaging Spectroradiometer (MODIS) on board the Terra and Aqua satellites, the Aerosol Index from the Ozone Monitoring Instrument (OMI) on board the Aura satellite, and the European-Community Hamburg (ECHAM5.5) general circulation model extended by Hamburg Aerosol Module (HAM). By statistically comparing with large-scale satellite data sets, we firstly show that the aerosol properties measured during the ship-based ICARB campaign and simulated by the model are representative for the BoB and AS regions and the pre-monsoon season. In a second step, the modelled aerosol distributions were evaluated by a comparison with the measurements from the ship-based sunphotometer, and the satellite retrievals during ICARB. It is found that the model broadly reproduces the observed spatial and temporal variability in aerosol optical depth (AOD) over BoB and AS regions. However, AOD was systematically underestimated during high-pollution episodes, especially in the BoB leg. We show that this underprediction of AOD is mostly because of the deficiencies in the coarse mode, where the model shows that dust is the dominant component. The analysis of dust AOD along with the OMI Aerosol Index indicate that missing dust transport that results from too low dust emission fluxes over the Thar Desert region in the model caused this deficiency. Thirdly, we analysed the spatio-temporal variability of AOD comparing the ship-based observations to the large-scale satellite observations and simulations. It was found that most of the variability along the track was from geographical patterns, with a minor influence by single events. Aerosol fields were homogeneous enough to yield a good statistical agreement between satellite data at a 1° spatial, but only twice-daily temporal resolution, and the shipbased sunphotometer data at a much finer spatial, but dailyaverage temporal resolution. Examination of the satellite data further showed that the year 2006 is representative for the five-year period for which satellite data were available. Finally, we estimated the clear-sky solar direct aerosol radiative forcing (DARF). We found that the cruise represents well the regional-seasonal mean forcings. Constraining simulated forcings using the observed AOD distributions yields a robust estimate of regional-seasonal mean DARF of −8.6, −21.4 and +12.9Wm−2 at the top of the atmosphere (TOA), at the surface (SUR) and in the atmosphere (ATM), respectively, for the BoB region, and over the AS, of, −6.8, −12.8, and +6Wm−2 at TOA, SUR, and ATM, respectively.

Documenter la variabilité climatique récente est nécessaire à la compréhension des mécanismes en jeu, associés au rôle du bilan de masse de l’Antarctique pour l’élévation du niveau des mers globale. Les enregistrements issus des carottes peu profondes d’Antarctique sont des données précieuses, complémentaires aux observations instrumentales et satellitaires, pour couvrir en continu l’ensemble du continent. Mesurés le long de ces carottes de glace, les isotopes stables de l’eau sont traditionnellement utilisés pour quantifier les changements passés de la température locale.Cette thèse doctorale a été initiée dans le cadre du programme de l’Agence Nationale de la Recherche ASUMA (“Improving the Accurancy of SUrface Mass balance of Antarctica”), ayant pour objectif de reconstruire et identifier les processus contrôlant la variabilité spatio-temporelle du bilan de masse de surface (BMS) de la Terre Adélie. J’ai utilisé des données d’isotopes stables de l’eau enregistrées dans des carottes de névé, des simulations atmosphériques produites par le modèle atmosphérique de circulation générale de haute résolution ECHAM5-wiso équipé des isotopes stables de l’eau, des réanalyses atmosphériques, des rétro-trajectoires, ainsi que des observations instrumentales satellitaires et de surface.Dans une première partie, j’ai évalué les capacités du modèle ECHAM5-wiso à simuler les températures de l’Antarctique, le BMS, le δ18O et le d-excess (ci-après, d-excess), comme prérequis à l’exploitation du modèle pour interpréter les compositions isotopiques. J’ai développé des diagnostics pour les relations δ18O-température et d-excess- δ18O sur l’ensemble du continent de l’Antarctique, en montrant que les différences issues des pentes des relations δ18O-température spatiales, inter-annuelles et saisonnières. Au sein du groupe de travail international de PAGES (Past Global Changes) Antarctica2k, j’ai utilisé des calibrations établies issues du modèle ECHAM5-wiso pour reconstruire la température de 7 régions d’Antarctique à partir d’une synthèse d’enregistrements de δ18O issus de carottes de glace couvrant les 2 000 dernières années.Dans une seconde partie, de nouveaux enregistrements issus de deux carottes de névé extraites en Terre Adélie, la S1C1 et la TA192A, ont été exploités, couvrant respectivement les périodes 1947-2007 et 1998-2014. Les BMS reconstruits décrivent une grande variabilité spatiale (74,11 ± 14,1 cm w.e. y-1 et 21,8 ± 6,9 cm w.e. y-1 pour la TA192A et la S1C1 respectivement), cohérente avec les données de balise disponibles. En utilisant une base de données mise à jour des isotopes stables de l’eau de l’Antarctique, j’ai montré que les valeurs moyennes isotopiques de Terre Adélie appartiennent à l’intervalle des valeurs côtières de l’Antarctique. Des analyses statistiques montrent une absence de relation entre nos enregistrements avec la température de surface locale à l’échelle inter-annuelle, mais des relations significatives avec des rétro-trajectoires atmosphériques et des simulations isotopiques suggérant que les isotopes de l’eau de la Terre Adélie fournissent des indications de la variabilité de la dynamique atmosphérique et du transport d’humidité, aux échelles saisonnière et inter-annuelle.Les analyses de cette thèse ont été limitées par la quantité d’enregistrements isotopiques disponibles pour la Terre Adélie, ainsi que par le manque de compréhension des effets de dépôt et de post-dépôt. Il est donc nécessaire d’exploiter les nouvelles carottes de névé extraites au cours du programme ASUMA, et d’effectuer en continu des mesures de la composition isotopique des précipitations, de la vapeur d’eau et de la neige de surface de Terre Adélie, en combinaison avec des outils de simulations atmosphériques, tels que des rétro-trajectoires associées à un diagnostic des sources d’humidité, et des modèles atmosphériques de circulation générale et régionaux équipés des isotopes stables de l’eau. / Documenting recent Antarctic climate variability is needed in order to understand the mechanisms at play, associated with the role of Antarctic mass balance for global sea level rise. Proxy records from Antarctic shallow firn cores are precious data, which complement instrumental and remote sensing observations to continuously cover the whole continent. Within these ice cores, water stable isotopes are commonly used to quantify past changes in local temperature.This PhD thesis was initiated within the French Agence Nationale de la Recherche “Improving the Accurancy of SUrface Mass balance of Antarctica” (ASUMA) project, which aims to reconstruct and to identify the processes controlling the spatio-temporal variability of the surface mass balance (SMB) in Adélie Land. I used water stable isotopes records from recently drilled shallow firn cores, as well as atmospheric simulations performed with the high resolution atmospheric general circulation model ECHAM5-wiso model, equipped with water stable isotopes, atmospheric reanalyses and back-trajectories, instrumental and remote sensing climate observations.In a first part, I assessed the skills of the ECHAM5-wiso with respect to Antarctic temperature, SMB, δ18O and deuterium excess (hereafter d-excess), as a prerequisite for the exploitation of the model to interpret isotope compositions. I developed Antarctic-wide diagnostics of the δ18O-temperature and d-excess- δ18O relationships, showing differences in the spatial, seasonal and interannual δ18O-temperature slopes. Within the international working group of PAGES (Past Global Changes) Antarctica 2k, I used the calibrations inferred from ECHAM5-wiso to reconstruct temperatures over 7 Antarctic regions from a synthesis of ice core δ18O records spanning the past 2,000 years.In a second part, new water stable isotope records from two firn core drilled in Adélie Land, the S1C1 and the TA192A, were investigated, covering the periods 1947-2007 and 1998-2014 respectively. The reconstructed SMB display a high spatial variability (74.1 ± 14.1 cm w.e. y-1 and 21.8 ± 6.9 cm w.e. y-1 for the TA192A and S1C1 respectively), consistent with Adélie Land stake data. Using an updated database of Antarctic water stable isotope datasets, I showed that the mean isotopic values (δ18O and d-excess) in Adélie Land are in line with the range of Antarctic coastal values. Statistical analyses show no relationship between our records and local surface air temperature, at the inter-annual scale, but significant relationships with atmospheric back-trajectories and isotopic simulations, suggesting that water stable isotopes in Adélie Land provide fingerprints of the variability of atmospheric dynamics and moisture transport, at the seasonal and inter-annual scales.The analyses performed during this PhD thesis have been limited by the few available Adélie Land water stable isotope records, and by the lack of understanding of deposition and post-deposition processes. Further work is thus needed to exploit the new firn cores drilled within the ASUMA project, and to monitor continuously Adélie Land water stable isotopes in precipitation, surface water vapour and surface snow, in combination with tools of atmospheric simulations such as back-trajectory simulations provided with moisture sources diagnostics, as well as water stable isotopes-enabled atmospheric general and regional circulation models.

Climatological winds over the equatorial Indian Ocean (EqlO) are westerly most of the year. Twice a year, in April-May ("spring") and October-December ("fall"), strong, sustained westerly winds generate eastward equatorial jets in the ocean. There are several unresolved issues related to the equatorial jets. They accelerate rapidly to speeds over lms"1 when westerly wind stress increases to about 0.7 dyne cm"2 in spring and fall, but decelerate while the wind stress continues to be westerly; each jet is followed by westward flow in the upper ocean lasting a month or longer. In addition to the semi-annual cycle, the equatorial winds and currents have strong in-traseasonal fluctuations. Observations show strong 30-60 day variability of zonal flow, and suggest that there might be variability with periods shorter than 20 days in the central EqlO. Observations from moored current meter arrays along 80.5°E south of Sri Lanka showed a distinct 15 day oscillation of equatorial meridional velocity (v) and off-equatorial zonal velocity (u). Recent observations from current meter moorings at the equator in the eastern EqlO show continuous 10-20 day, or biweekly, oscillations of v. The main motivation for the present study is to understand the dynamics of intraseasonal variability in the Indian Ocean that has been documented in the observational literature. What physical processes are responsible for the peculiar behavior of the equatorial jets? What are the relative roles of wind stress and large scale ocean dynamics? Does intraseasonal variability of wind stress force intraseasonal jets? What is the structure and origin of the biweekly variability? The intraseasonal and longer timescale variability of the equatorial Indian Ocean circulation is studied using an ocean general circulation model (OGCM) and recent in Abstract ii situ observations. The OGCM simulations are validated against other available observations. In this thesis, we document the space-time structure of the variability of equatorial Indian Ocean circulation, and attempt to find answers to some of the questions raised above. The main results are based on OGCM simulations forced by high frequency reanalysis and satellite scatterometer (QuikSCAT) winds. Several model experiments with idealized winds are used to interpret the results of the simulations. In addition to the OGCM simulations, the origin of observed intraseasonal anomalies of sea surface temperature (SST) in the eastern EqlO and Bay of Bengal, and related air-sea interaction, are investigated using validated satellite data. The main findings of the thesis can be summarized as: • High frequency accurate winds are required for accurate simulation of equatorial Indian Ocean currents, which have strong variability on intraseasonal to interannual time scales. • The variability in the equatorial waveguide is mainly driven by variability of the winds; there is some intraseasonal variability near the western boundary and in the equatorial waveguide due to dynamic instability of seasonal "mean" flows. • The fall equatorial jet is generally stronger and longer lived than the spring jet; the fall jet is modulated on intraseasonal time scales. Westerly wind bursts can drive strong intraseasonal equatorial jets in the eastern EqlO during the summer monsoon. • Eastward equatorial jets create a westward zonal pressure gradient force by raising sea level, and deepening the thermocline, in the east relative to the west. The zonal pressure force relaxes via Rossby wave radiation from the eastern boundary. • The zonal pressure force exerts strong control on the evolution of zonal flow; the decel eration of the eastward jets, and the subsequent westward flow in the upper ocean in the presence of westerly wind stress, is due to the zonal pressure force. • Neither westward currents in the upper ocean nor subsurface eastward flow (the ob served spring and summer "undercurrent") requires easterly winds; they can be gener ated by equatorial adjustment due to Kelvin (Rossby) waves generated at the western (eastern) boundary. • The biweekly variability in the EqlO is associated with forced mixed Rossby-gravity (MRG) waves generated by intraseasonal variability of winds. The biweekly MRG wave in has westward and upward phase propagation, zonal wavelength of 3000-4500 km and phase speed of 4 m s"1; it is associated with deep off equatorial upwelling/downwelling. Intraseasonal SST anomalies are forced mainly by net heat flux anomalies in the central and eastern EqlO; the large northward propagating SST anomalies in summer in the Bay of Bengal are due to net heat flux anomalies associated with the monsoon active-break cycle. Coherent variability in the atmosphere and ocean suggests air-sea interaction.

Climate change is altering hydrological processes with varying degrees in various regions of the world. This research work investigates the possible impacts of climate change on water resource and Hydropower production potential in central and southern Africa. The Congo, Zambezi and Kwanza, Shire, Kafue and Kabompo basins that lie in central and southern Africa are used as case studies. The review of climate change impact studies shows that there are few studies on impacts of climate change on hydropower production. Most of these studies were carried out in Europe and north America and very few in Asia, south America and Africa. The few studies indicate that southern Africa would experience reduction in precipitation and runoff, consequently reductions in hydropower production. There are no standard methods of assessing the resulting impacts. Two approaches were used to assess the impacts of climate change on water resources and hydropower. One approach is lumping changes on country or regional level and use the mean climate changes on mean annual flows as the basis for regional changes in hydropower production. This is done to get an overall picture of the changes on global and regional level. The second approach is a detailed assessment process in which downscaling, hydrological modelling and hydropower simulations are carried out. The possible future climate scenarios for the region of central and southern Africa depicted that some areas where precipitation are likely to have increases while other, precipitation will reduce. The region northern Zambia and southern Congo showed increases while the northern Congo basin showed reductions. Further south in southern African region, there is a tendency of decreases in precipitation. To the west, in Angola, inland showed increases while towards the coast highlighted some decreases in precipitation. On a global scale, hydropower is likely to experience slight changes (0.08%) due to climate change by 2050. Africa is projected for a slight decrease (0.05%), Asia with an increase of 0.27%, Europe a reduction up to 0.16% while America is projected to have an increase of 0.05%. In the eastern African region, it was shown that hydropower production is likely to increase by 0.59%, the central with 0.22% and the western with a 0.03%. The southern, and northern African regions were projected to have reductions of 0.83% and 0.48% respectively. The basins with increases in flow projections have a slight increase on hydropower production but not proportional to the increase in precipitation. The basins with decreases had even high change as the reduction was further increased by evaporation losses. The hydropower production potential of most of southern African basins is likely to decrease in the future due to the impact of climate change while the central African region shows an increasing trend. The hydropower system in these regions will be affected consequently. The hydropower production changes will vary from basin to basin in these regions. The Zambezi, Kafue and Shire river basins have negative changes while the Congo, Kwanza and Kabompo river basins have positive changes. The hydropower production potential in the Zambezi basin decreases by 9 - 34%. The hydropower production potential in the Kafue basin decreases by 8 - 34% and the Shire basin decreases by 7 - 14 %. The southern region will become drier with shorter rainy seasons. The central region will become wetter with increased runoff. The hydropower production potential in the Congo basin reduces slightly and then increases by 4% by the end of the century. The hydropower production potential in the Kwanza basin decreases by 3% and then increases by 10% towards the end of the century and the Kabompo basin production increases by 6 - 18%. It can be concluded that in the central African region hydropower production will, in general, increase while the southern African region, hydropower production will decrease. In summary, the analysis has shown that the southern African region is expected to experience decreases in rainfall and increases in temperature. This will result in reduced runoff. However the northern part of southern Africa is expected to remain relatively the same with slight increase, moving northwards towards the central African region where mainly increases have been registered. The southern African region is likely to experience reductions up to 5 - 20% while the central African region is likely to experience an increase in runoff in the range of 1 - 5%. Lack of data was observed as a critical limiting factor in modelling in the central and southern Africa region. The designs, plans and operations based on poor hydrological data severely compromise performance and decrease efficiency of systems. Climate change is expected to change these risks. The normal extrapolations of historical data will be less reliable as the past will become an increasingly poor predictor of the future. Better (observed) data is recommended in future assessments and if not better tools and methods for data collection/ should be used. Future designs, plans and operations should include and aspect of climate change, if the region is to benefit from the climate change impacts.

Urbanisation alters the hydrologic response of a catchment, resulting in increased runoff rates and volumes, and loss of infiltration and base flow. Quantification of uncertainties is important in hydrologic designs of urban infrastructure. Major sources of uncertainty in the Intensity Duration Frequency (IDF) relationships are due to insufficient quantity and quality of data leading to parameter uncertainty and, in the case of projections of future IDF relationships under climate change, uncertainty arising from use of multiple General Circulation Models (GCMs) and scenarios. The work presented in the thesis presents methodologies to quantify the uncertainties arising from parameters of the distribution fitted to data and the multiple GCMs using a Bayesian approach. High uncertainties in GEV parameters and return levels are observed at shorter durations for Bangalore City. Twenty six GCMs from the CMIP5 datasets, along with four RCP scenarios are considered for studying the effects of climate change. It is observed that the uncertainty in short duration rainfall return levels is high when compared to the longer durations. Further it is observed that parameter uncertainty is large compared to the model uncertainty. Disaggregation of precipitation extremes from larger time scales to smaller time scales when the extremes are modeled with the GPD is burdened with difficulties arising from varying thresholds for different durations. In this study, the scale invariance theory is used to develop a disaggregation model for precipitation extremes exceeding specified thresholds. A scaling relationship is developed for a range of thresholds obtained from a set of quantiles of non-zero precipitation of different durations. The disaggregation model is applied to precipitation datasets of Berlin City, Germany and Bangalore City, India. From both the applications, it is observed that the uncertainty in the scaling exponent has a considerable effect on uncertainty in scaled parameters and return levels of shorter durations. A Bayesian hierarchical model is used to obtain spatial distribution of return levels of precipitation extremes in urban areas and quantify the associated uncertainty. Applicability of the methodology is demonstrated with data from 19 telemetric rain gauge stations in Bangalore City, India. For this case study, it is inferred that the elevation and mean monsoon precipitation are the predominant covariates for annual maximum precipitation. For the monsoon maximum precipitation, it is observed that the geographic covariates dominate while for the summer maximum precipitation, elevation and mean summer precipitation are the predominant covariates. In this work, variation in the dependence structure of extreme precipitation within an urban area and its surrounding non-urban areas at various durations is studied. The Berlin City, Germany, with surrounding non-urban area is considered to demonstrate the methodology. For this case study, the hourly precipitation shows independence within the city even at small distances, whereas the daily precipitation shows a high degree of dependence. This dependence structure of the daily precipitation gets masked as more and more surrounding non-urban areas are included in the analysis. The geographical covariates are seen to be predominant within the city and the climatological covariates prevail when non-urban areas are added. These results suggest the importance of quantification of dependence structure of spatial precipitation at the sub-daily timescales, as well as the need to more precisely model spatial extremes within the urban areas. The work presented in this thesis thus contributes to quantification of uncertainty in precipitation extremes through developing methodologies for generating probabilistic future IDF relationships under climate change, spatial mapping of probabilistic return levels and modeling dependence structure of extreme precipitation in urban areas at fine resolutions.

No description available.

No description available.

Implementing a nonlinear gravity wave (GW) parameterization into a mechanistic middle and upper atmosphere model, which extends to the lower thermosphere (160 km), we study the response of the atmosphere in terms of the circulation patterns, temperature distribution, and migrating terdiurnal solar tide activity to the upward propagating smallscale internal GWs originating in the lower atmosphere. We perform three test simulations for the Northern Hemisphere winter conditions in order to assess the effects of variations in the initial GWspectrum on the climatology and tidal patterns of the mesosphere and lower thermosphere. We find that the overall strength of the source level momentum flux has a relatively small impact on the zonal mean climatology. The tails of the GW source level spectrum, however, are crucial for the lower thermosphere climatology. With respect to the terdiurnal tide, we find a strong dependence of tidal amplitude on the induced GW drag, generally being larger when GW drag is increased.

I present herein an ensemble of ROCKE-3D aqua-planet simulations which I compare with the simulations presented in the work of Yang et al. (2019) and other similar works. The focus was on contrasting differences in the greenhouse effect between the models. In contrast to their work, I examined simulations with a dynamic ocean instead of a slab ocean, as well as the inclusion of dynamic sea ice for 2 out of 4 of them. A subset of the simulations examined prevented the formation of sea ice to make them more comparable to Yang et al. (2019), but they never reached radiative equilibrium and this made it difficult to utilize their results. When contrasting the sea ice simulations of ROCKE-3D with the CAM4_Wolf/ExoCAM simulation of Komacek & Abbot(2019), I found that the inclusion of ocean heat transport through a dynamic ocean increases the ice-free region around the sub-tropics for the rapidly rotating aqua-planet around a G-star, thus, resulting in a lower Bond albedo and more surface warming. Supporting previous intercomparisons (Sergeevet al. 2021), ROCKE-3D produces less low- to midlevel clouds toward the equator/substellar point, compared to other models. Consequently, this leads to less cooling through the shortwave cloud radiative forcing. Lastly, I looked at the specific humidity. ROCKE-3D produced the highest stratospheric water vapor content in the M-star scenario, which suggests that ROCKE-3D is closer to the moist greenhouse limit of Kasting et al. (1993); although, the model is still far off. / I detta arbete så presenterar jag vattenplanet simulationer producerade med hjälp av ROCKE-3D, som jag sedan jämför med simulationerna som presenteras i Yang et al. (2019). Fokuset för jämförelsen låg på att jämföra skillnader gällande den producerade växthuseffekten. Alla simulationer utnyttjade ett dynamiskt hav i stället för ett enklare "platt hav", varav 2 utav 4 av dom simulationer som presenteras tillåter havsis att formas. De simulationer som inte tillät is uppnådde aldrig termisk jämvikt vilket gjorde det svårt att antyda något utifrån dom. Vid jämförelse av is-simulationerna som producerades av ROCKE-3D med de is-simulationer producerade med hjälp av CAM4/ExoCAM i Komacek & Abbot (2019), så visades det sig att den is-fria regionen runtomkring de subtropiska områderna vart större för den snabbt roterande vattenplaneten runt en G-klassad stjärna om man inkluderar ett dynamiskt hav i stället för ett "platt hav". Vidare, så stödjer detta arbete dom resultat presenterade i Sergeev et al. (2021), där ROCKE-3D producerar mindre låg- och medelhöga molnformationer runtom ekvatorn/substellära regionen, jämfört med andra modeller. Vidare, så leder detta till en mindre kylningseffekt genom molnens reflektion av kortvågsstrålning. Sist, så undersökte jag den specifika fuktigheten, där ROCKE-3D visar på ett högre värde av stratosfärisk vattenånga i fallet av en tidsvattenlåst havsplanet runt en M-stjärna. Detta tyder på att ROCKE-3D är närmare den fuktiga växthusgränsen som presenteras i Kasting et al. (1993). Dock, så är den fortfarande långt ifrån att uppnås.