Diurnal to annual variability of the Atmospheric Boundary Layer over West Africa: A comprehensive view by remote sensing observations

Weather and climate in West Africa are determined by the pronounced contrast between tropical, moist air masses over the Gulf of Guinea in the south and the dry desert climate over the Sahara in the north. The sharp border between the two air masses exhibits a pronounced meridional annual cycle and follows the path of the sun northward. This circulation system is called "West African monsoon". In the past, the knowledge about the factors that control the monsoon and its strength was limited due to the small number of high-quality observations. Therefore, little is known about the reasons for the significant decline of annual rainfall over the Sahel area during the past 40 years which represents the most pronounced climatic signal worldwide. During the past few years, intensive atmospheric observations were performed in the framework of the international project "African Monsoon Multidisciplinary Analyses" (AMMA) in order to obtain high-quality data and to improve the process understanding. This work gathered and analyzed ground-based remote sensing observations which were performed in Benin and Niger during the AMMA field campaigns. These data give an insight into diurnal and annual cycles of atmospheric parameters, such as water vapor, temperature profiles, cloud cover, cloud liquid water content, or wind with a temporal resolution never reached before. Particular attention is paid to the atmospheric water which is recognized to be a critical parameter for many other atmospheric variables, e.g. the vertical temperature distribution, the long-wave radiation balance, and many more. The new type of observations revealed a diurnal cycle of the position of the Intertropical Discontinuity (ITD) prior to the start of the rainy season. The ITD represents the convergence zone at the surface between the dry and hot north-easterly trade winds and the moist and cooler south-westerly monsoon flow. Associated with this sharp front between the two air masses, strong water vapour changes occurred which could be observed in detail. This data set was then used for a comparison with the mesoscale atmospheric model Méso-NH which was run for a case study in April 2006. It is shown that the model reproduces the observed processes quite well, despite the low number of in-situ data which were assimilated in the model. Therefore, the model is suited to describe the processes in the lower atmospheric layers around the ITD

Evidence of volcanic ash at a K-T boundary section: Ocean drilling program hole 690 C, Maud Rise, Weddell Sea off East Antarctica

Rare vitric volcanogenic ash but more abundant clay minerals considered volcanogenic in origin are associated with an expanded and essentially complete K-T boundary sequence from Ocean Drilling Project (ODP) Hole 690 C on Maud Rise in the Weddell Sea off East Antarctica. Results at this writing are preliminary and are still based to some extent on shipboard descriptions. Further shore-based studies are in progress. It would appear, however, that the presence of volcanic ash and altered ash in the Danian section beginning at the biostratigraphically and paleomagnetically determined K-T boundary on Maud Rise can be cited as evidence of significant volcanic activity within the South Atlantic-Indian Ocean sector of the Southern Ocean coincident with the time of biotic crises at the end of the Maestrichtian. This is a postulated time of tectonic and volcanic activity within this Southern Hemisphere region, including possible initiation of the Reunion hot spot and a peak in explosive volcanism on Walvis Ridge (1) among other events. A causal relationship with the biotic crisis is possible and volcanism should be given serious consideration as a testable working hypothesis to explain these extinctions

The predictability of precipitation episodes during the West African dry season

Precipitation episodes in tropical West Africa (7-15°N, 10°W-10°E) during the dry season from November to March are rare, but can have significant impacts on human activities reaching from greening of pastures to spoiling harvests and health implications. Previous work has shown a link between these unseasonal rainfalls and extratropical disturbances via a decrease of surface pressure over the Sahara/Sahel and a subsequent inflow of moist air from the Gulf of Guinea. This paper supports the previously stated hypothesis that the extratropical influence leads to a high rainfall predictability through a careful analysis of operational 5 day forecasts from the European Centre for Medium-Range Weather Forecasts' (ECMWF) ensemble prediction system (EPS), which are evaluated using Global Precipitation Climatology Project (GPCP) and Tropical Rainfall Measuring Mission (TRMM) precipitation estimates for the 11 dry seasons 1998/99-2008/09. The long-term regional average of ensemble-mean precipitation lies between the two observational datasets, with GPCP being considerably wetter. Temporal correlations between the ensemble mean and observations are 0.8. Standard probabilistic evaluation methods such as reliability and relative operating characteristic (ROC) diagrams indicate remarkably good reliability, sharpness and skill across a range of precipitation thresholds. However, a categorical verification focusing on the most extreme ensemble mean values indicates too many false alarms. Despite the considerable observational uncertainty the results show that the ECMWF EPS is capable of predicting winter rainfall events in tropical West Africa with good accuracy, at least on regional spatial and synoptic time-scales, which should encourage West African weather services to capitalize more on the valuable information provided by ensemble prediction systems during the dry season

Evolutionary algorithm-based analysis of gravitational microlensing lightcurves

A new algorithm developed to perform autonomous fitting of gravitational microlensing lightcurves is presented. The new algorithm is conceptually simple, versatile and robust, and parallelises trivially; it combines features of extant evolutionary algorithms with some novel ones, and fares well on the problem of fitting binary-lens microlensing lightcurves, as well as on a number of other difficult optimisation problems. Success rates in excess of 90% are achieved when fitting synthetic though noisy binary-lens lightcurves, allowing no more than 20 minutes per fit on a desktop computer; this success rate is shown to compare very favourably with that of both a conventional (iterated simplex) algorithm, and a more state-of-the-art, artificial neural network-based approach. As such, this work provides proof of concept for the use of an evolutionary algorithm as the basis for real-time, autonomous modelling of microlensing events. Further work is required to investigate how the algorithm will fare when faced with more complex and realistic microlensing modelling problems; it is, however, argued here that the use of parallel computing platforms, such as inexpensive graphics processing units, should allow fitting times to be constrained to under an hour, even when dealing with complicated microlensing models. In any event, it is hoped that this work might stimulate some interest in evolutionary algorithms, and that the algorithm described here might prove useful for solving microlensing and/or more general model-fitting problems.Comment: 14 pages, 3 figures; accepted for publication in MNRA

Circumventing Control

My creative process emerges from the struggle between two contrasting impulses: a habitual desire to control my internal and external environments, and an instinctive need to overcome these constraints. The discoveries I have made in the studio have fostered my desire to confront anxiety and make critical decisions in the face of uncertain outcomes. For me, the process of making has become a mode of thinking. It has become a way of remembering the past, envisioning the future, and experiencing the present moment. I find that working with collage in combined analog and digital formats, allows me to experiment with images and materials in an immediate way. As a result, my studio practice has provided a way for me to circumvent the controlling mind, and to re-examine some of the old, outdated paradigms I have about life and art

Optimal estimation of water vapour profiles using a combination of Raman lidar and microwave radiometer

In this work, a two-step algorithm to obtain water vapour profiles from a combination of Raman lidar and microwave radiometer is presented. Both instruments were applied during an intensive 2-month measurement campaign (HOPE) close to Julich, western Germany, during spring 2013. To retrieve reliable water vapour information from inside or above the cloud a two-step algorithm is applied. The first step is a Kalman filter that extends the profiles, truncated at cloud base, to the full height range (up to 10 km) by combining previous information and current measurement. Then the complete water vapour profile serves as input to the one-dimensional variational (1D-VAR) method, also known as optimal estimation. A forward model simulates the brightness temperatures which would be observed by the microwave radiometer for the given atmospheric state. The profile is iteratively modified according to its error bars until the modelled and the actually measured brightness temperatures sufficiently agree. The functionality of the retrieval is presented in detail by means of case studies under different conditions. A statistical analysis shows that the availability of Raman lidar data (night) improves the accuracy of the profiles even under cloudy conditions. During the day, the absence of lidar data results in larger differences in comparison to reference radiosondes. The data availability of the full-height water vapour lidar profiles of 17% during the 2-month campaign is significantly enhanced to 60% by applying the retrieval. The bias with respect to radiosonde and the retrieved a posteriori uncertainty of the retrieved profiles clearly show that the application of the Kalman filter considerably improves the accuracy and quality of the retrieved mixing ratio profiles

Ross Dam Micro Hydropower Project

In 2020, Utica Water and Power Authority (UWPA) commissioned the development and installation of a micro hydropower system for Ross Dam in northern California. The micro-hydro system was intended to serve as a reliable source of renewable energy to power on-site equipment for monitoring the Ross Reservoir. Despite its innovative approach, the system encountered operational shortcomings, including frequent mechanical failures, rapid wear, and an inability to adapt to variable flow rates. To address these challenges, UWPA has commissioned interdisciplinary teams of Mechanical Engineering (ME) and Electrical Engineering (EE) students to redesign the micro hydropower system. The ME team was entrusted with designing and prototyping a turbine to convert the kinetic energy of the water outflow of the dam into rotational kinetic energy for driving a generator. Meanwhile, the EE team was tasked with engineering an electrical system that integrates with the ME team’s turbine design to continuously generate and deliver 150W of electrical power to the MPPT charge controller for charging on-site, 24V batteries. Additionally, the EE team was assigned with redesigning and implementing a new method of battery overcharge protection. Working in collaboration with the ME team, EE team was able to successfully design, construct, test, and deliver a reliable electrical system that integrates with the ME team’s new Pelton wheel turbine, generates and delivers at least 150W of electrical power to existing MPPT charge controller for charging the on-site batteries, and diverts excess electrical power through a dump load as a form of battery overvoltage protection. Based on the expected operating conditions at Ross Dam and results from full system integration between the two teams, the micro-hydro system is expected to produce approximately 220W, satisfying the 150W requirement put forth by UWPA. On June 9, 2024 the turbine and electrical system were collected by UWPA and are now ready for installation at Ross Dam

Measurement of the top quark-pair production cross section with ATLAS in pp collisions at \sqrt{s}=7\TeV

A measurement of the production cross-section for top quark pairs(\ttbar) in $pp$ collisions at \sqrt{s}=7 \TeV is presented using data recorded with the ATLAS detector at the Large Hadron Collider. Events are selected in two different topologies: single lepton (electron $e$ or muon $\mu$) with large missing transverse energy and at least four jets, and dilepton ($ee$, $\mu\mu$ or $e\mu$) with large missing transverse energy and at least two jets. In a data sample of 2.9 pb-1, 37 candidate events are observed in the single-lepton topology and 9 events in the dilepton topology. The corresponding expected backgrounds from non-\ttbar Standard Model processes are estimated using data-driven methods and determined to be $12.2 \pm 3.9$ events and $2.5 \pm 0.6$ events, respectively. The kinematic properties of the selected events are consistent with SM \ttbar production. The inclusive top quark pair production cross-section is measured to be \sigmattbar=145 \pm 31 ^{+42}_{-27} pb where the first uncertainty is statistical and the second systematic. The measurement agrees with perturbative QCD calculations.Comment: 30 pages plus author list (50 pages total), 9 figures, 11 tables, CERN-PH number and final journal adde