A5024840324- Climate variability and models
- Meteorological Phenomena and Simulations
- Smart Grid Energy Management
- Distributed and Parallel Computing Systems
- Scientific Computing and Data Management
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Energy Load and Power Forecasting
- Cloud Computing and Resource Management
- Flood Risk Assessment and Management
- Cloud Data Security Solutions
- Energy Efficiency and Management
- Smart Grid Security and Resilience
- Advanced Data Storage Technologies
- Building Energy and Comfort Optimization
- Atmospheric and Environmental Gas Dynamics
- Integrated Energy Systems Optimization
- High-Energy Particle Collisions Research
- Cryospheric studies and observations
- Climate change impacts on agriculture
- Wind Energy Research and Development
- Electric Power System Optimization
- Particle Accelerators and Free-Electron Lasers
- Peer-to-Peer Network Technologies
- Hydrology and Watershed Management Studies
University of Oxford
2016-2025
Science Oxford
2020-2024
Argonne National Laboratory
2022
University of Edinburgh
2022
Utrecht University
2018
Climate Centre
2018
Princeton University
2018
Royal Netherlands Meteorological Institute
2018
University of Bristol
2001-2014
Atos (Spain)
2012
We present an updated measurement of time-dependent CP-violating asymmetries in neutral B decays with the BABAR detector at PEP-II asymmetric Factory SLAC. This result uses additional sample Upsilon(4S) collected 2001, bringing data available to 32 x 10(6) BB macro pairs. select events which one meson is fully reconstructed a final state containing charmonium and flavor other determined from its decay products. The amplitude asymmetry, standard model proportional sin2 beta, derived time...
It has been argued that climate change is the biggest global health threat of 21st century. The extreme high temperatures summer 2003 were associated with up to seventy thousand excess deaths across Europe. Previous studies have attributed meteorological event human influence on climate, or examined role heat waves health. Here, for first time, we explicitly quantify activity and heat-related mortality in an attribution framework, analysing both Europe-wide temperature response 2003,...
Abstract. Disastrous bushfires during the last months of 2019 and January 2020 affected Australia, raising question to what extent risk these fires was exacerbated by anthropogenic climate change. To answer for southeastern where were particularly severe, affecting people ecosystems, we use a physically based index fire weather, Fire Weather Index; long-term observations heat drought; 11 large ensembles state-of-the-art models. We find trends in Index fifth-generation European Centre...
Abstract. The Intergovernmental Panel on Climate Change (IPCC) has accepted the invitation from UNFCCC to provide a special report impacts of global warming 1.5 °C above pre-industrial levels and related greenhouse-gas emission pathways. Many current experiments in, for example, Coupled Model Inter-comparison Project (CMIP), are not specifically designed informing this report. Here, we document design half degree additional warming, projections, prognosis (HAPPI) experiment. HAPPI provides...
Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of marine microbial biodiversity and function world's oceans. It is simultaneous global mega-sequencing campaign aiming generate largest standardized data set in single day. This will be achievable only through coordinated efforts an Consortium, supportive partnerships networks between sites. commentary outlines establishment, aims Consortium...
There is growing interest in discerning behaviors of electricity users both the residential and commercial sectors. With advent high-resolution time-series power demand data through advanced metering, mining this could be costly from computational viewpoint. One popular techniques clustering, but depending on algorithm resolution can have an important influence resulting clusters. This paper shows how temporal profiles affects quality clustering process, consistency cluster membership...
Abstract Summer 2010 saw two simultaneous extremes linked by an atmospheric wave train: a record-breaking heatwave in Russia and severe floods Pakistan. Here, we study this event using large ensemble climate model experiment. First, show that the circulation reflected recurrent train connecting flooding events. Second, occurrence of is favored three drivers: (1) sea surface temperature anomalies increase probability factor 2-to-4 relative to model’s climatology, (2) early-summer soil...
This paper proposes a strategy for managing wildfire risks and preventing blackouts using microgrids. To demonstrate this approach, not seen in previous literature, we use the power network of Victoria, Australia, December 2019 as case study. The Fire Weather Index (FWI) is crucial indicator global fire behaviour both spatially temporally, proved with its robust analysis within many studies. FWI applied to Wildfire-Energy System first time, contributing higher spatial temporal resolution...
Abstract Limiting global mean temperature rise to 1.5 °C is increasingly out of reach. Here we show the impact on cooling demand in moving from 2.0 warming. African countries have highest increase requirements. Switzerland, United Kingdom and Norway (traditionally unprepared for heat) will suffer largest relative surges. Immediate unprecedented adaptation interventions are required worldwide be prepared a hotter world.
Abstract. Extreme weather events can have large impacts on society and, in many regions, are expected to change frequency and intensity with climate change. Owing the relatively short observational record, models useful tools as they allow for generation of a larger sample extreme events, attribute recent anthropogenic change, project changes such into future. The modelling system known weather@home, consisting global model (GCM) nested regional (RCM) driven by sea surface temperatures,...
Abstract. Hydro-meteorological extremes such as drought and heavy precipitation can have large impacts on society the economy. With potentially increasing risks associated with events due to climate change, properly assessing uncertainties is critical for adequate adaptation. However, application of risk-based approaches often requires sets extreme events, which are not commonly available. Here, we present a set hydro-meteorological time series recent past future conditions United Kingdom...
Abstract. Disastrous bushfires during the last months of 2019 and January 2020 affected Australia, raising question to what extent risk these fires was exacerbated by anthropogenic climate change. To answer for southeastern where were particularly severe, affecting people ecosystems, we use a physically-based index fire weather, Fire Weather Index, long-term observations heat drought, eleven large ensembles state-of-the-art models. In agreement with previous analyses find that extremes have...
Abstract The year 2014 broke the record for warmest yearly average temperature in Europe. Attributing how much this was due to anthropogenic climate change and it natural variability is a challenging question but one that important address. In study, we compare four event attribution methods. We look at risk ratio (RR) associated with event, over whole European region, as well its spatial distribution. Each method shows very strong influence on However, magnitude of RR strongly depends...
Abstract. In August 2017 Bangladesh faced one of its worst river flooding events in recent history. This paper presents, for the first time, an attribution this precipitation-induced to anthropogenic climate change from a combined meteorological and hydrological perspective. Experiments were conducted with three observational datasets two models estimate changes extreme 10-day precipitation event frequency over Brahmaputra basin up present and, additionally, outlook 2 ∘C warming since...
This paper presents a novel analytical method to optimally size energy storage in microgrid systems. The has fast calculation speeds, calculates the exact optimal, and handles non-linear models. first constructs temporal profile of stored energy, based on how charges discharges response renewable generation load demand. is sized according largest cumulative charge or discharge profile. In essence, represents utilized within given system, sizes optimal maximize that profile, such utilization...
The increasing availability of substantial quantities power-use data in both the residential and commercial sectors raises possibility mining to advantage consumers network operations. We present a Bayesian non-parametric model cluster load profiles from households business premises. Evaluators show that our performs as well other popular clustering methods, but unlike most methods it does not require number clusters be predetermined by user. used so-called ‘Chinese restaurant process’...
Abstract The simultaneous occurrence of extremely wet winters at multiple locations in the same region can contribute to widespread flooding and associated socio‐economic losses. However, spatial extent precipitation extremes (i.e., area which nearby experience simultaneously) its future changes are largely overlooked climate assessments. Employing new multi‐thousand‐year model simulations, we show that under both 2.0 °C 1.5 warming scenarios, wintertime total extreme extents would increase...
Data-driven forecasting techniques have been widely used for building load due to their accuracy and wide availability of operational data. Recent advances underpinned by the increased capability machine learning (ML) algorithms; however, most studies only tested ML on a single or small number buildings over short periods, lacking reliable tests. Moreover, few focused effects characteristics profiles forecast accuracy, interpretation ML-based prediction results. In this study, we investigate...
The expansion of offshore wind farms (OWFs) in the UK has been largely driven by high potential and availability suitable sites, enabling deployment larger, higher-capacity OWFs. This study evaluates projected trends energy production to identify optimal exclusive economic zone (EEZ) regions for future OWF installations, aiming mitigate declines yield ensure power stability at selected sites. Using data from Climate Projections 2018 (UKCP18), this analysis compares conditions across a...
As autonomous vehicle (AV) technology advances towards maturity, it becomes imperative to examine the security vulnerabilities within these cyber-physical systems. While conventional cyber-security concerns are often at forefront of discussions, is essential get deeper into various layers vulnerability that overlooked mainstream frameworks. Our goal spotlight imminent challenges faced by AV operators and explore emerging technologies for comprehensive solutions. This research outlines...