A5042482895- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Historical and Literary Studies
- Meteorological Phenomena and Simulations
- Network Security and Intrusion Detection
- Hydrological Forecasting Using AI
- Renaissance Literature and Culture
- Groundwater flow and contamination studies
- Terrorism, Counterterrorism, and Political Violence
- French Literature and Criticism
- Software-Defined Networks and 5G
- Membrane Separation Technologies
- Opportunistic and Delay-Tolerant Networks
- Historical and Literary Analyses
- Software System Performance and Reliability
- Caching and Content Delivery
- Medieval European Literature and History
- Politics and Conflicts in Afghanistan, Pakistan, and Middle East
- Asian Studies and History
- Mobile Ad Hoc Networks
- Climate variability and models
- Disaster Management and Resilience
- Membrane-based Ion Separation Techniques
- Energy Efficient Wireless Sensor Networks
Lancaster University
2012-2024
Austrian Institute of Technology
2013-2023
Bureau of Meteorology
2022
European Centre for Medium-Range Weather Forecasts
2016-2019
Naval War College
2008-2019
University of Technology Sydney
2005-2017
Leiden University
1997-2016
University of Aberdeen
2016
Royal Society of Arts
2016
Fraunhofer Society
2015
Abstract. Data assimilation (DA) holds considerable potential for improving hydrologic predictions as demonstrated in numerous research studies. However, advances DA have not been adequately or timely implemented operational forecast systems to improve the skill of forecasts better informed real-world decision making. This is due part a lack mechanisms properly quantify uncertainty observations and models real-time forecasting situations conduct merging data way that efficient transparent...
Synchronous island power systems, such as the combined Ireland and Northern system, are facing increasing penetrations of renewable generation. As part a wider suite studies, performed in conjunction with transmission system operators (TSOs) All-Island (AIS), frequency stability challenges at high ultra-high wind were examined. The impact both largest infeed loss network fault induced turbine active dips was examined: latter contingency potentially representing fundamental change risk. A...
Abstract Benchmarking the quality of river discharge data and understanding its information content for hydrological analyses is an important task hydrologic science. There a wide variety techniques to assess uncertainty. However, few studies have developed generalized approaches quantify This study presents framework estimating uncertainty at many gauging stations with different errors in stage‐discharge relationship. The methodology utilizes nonparametric LOWESS regression within novel...
In disaster risk management (DRM), an emerging shift has been noted from broad‐scale, top‐down assessments toward more participatory, community‐based, bottom‐up approaches. Arguably, nonscientist local stakeholders have always played important role in knowledge and resilience building within a hydrological context, such as flood response drought alleviation. However, rapidly developing information communication technologies the Internet, smartphones, social media already demonstrated their...
The European Union has committed to reduce the equivalent carbon dioxide emissions by 8% of 1990 level end 2012. To meet objective, member states have financially encouraged development renewable energy especially wind power. Locally, this results in some highest power penetration levels world. This paper discusses transmission challenges Denmark, Spain, Germany and Ireland. With increasing capacity, system operators (TSOs) became concerned about impact high generation on stability....
The cost of failures within communication networks is significant and will only increase as their reach further extends into the way our society functions. Some aspects network resilience, such application fault-tolerant systems techniques to optical switching, have been studied applied great effect. However, - Internet in particular are still vulnerable malicious attacks, human mistakes misconfigurations, a range environmental challenges. We argue that this is, part, due lack holistic view...
Abstract. Disinformation as a result of epistemic error is an issue in hydrological modelling. In particular the way which colour model residuals resulting from errors should be expected to non-stationary means that it difficult justify spin structure can properly represented by statistical likelihood functions. To do so would greatly overestimate information content set calibration data and increase possibility both Type I II errors. Some principles trying identify periods disinformative...
There remains a great deal of uncertainty about estimation in hydrological modeling. Given that hydrology is still subject limited by the available measurement techniques, it does not appear issue epistemic error data will go away for foreseeable future, and may be necessary to find way allow robust model conditioning more subjective treatments potential errors prediction. In this paper an attempt made analyze how result uncertainties inherent modeling process their impact on hypothesis...
In 2013, the International Association of Hydrological Sciences (IAHS) launched hydrological decade 2013–2022 with theme "Panta Rhei: Change in Hydrology and Society". The recognizes urgency research to understand predict interactions society water, support sustainable water resource use under changing climatic environmental conditions. This paper reports on first Panta Rhei biennium 2013–2015, providing a comprehensive that describes scope direction Rhei. We bring together knowledge all...
ACCESS-S2 is a major upgrade to the Australian Bureau of Meteorology’s multi-week seasonal prediction system. It was made operational in October 2021, replacing ACCESS-S1. The focus addition new weakly coupled data assimilation system provide initial conditions for atmosphere, ocean, land and ice fields. model based on UK Met Office GloSea5-GC2 unchanged from ACCESS-S1, aside minor corrections enhancements. performance skill forecasts have been assessed compared There are improvements...
The objective of this article is to define and validate a mathematical model that desribes the physical biological processes occurring in trickle-bed air biofilter for waste gas treatment. This considers two-phase system, quasi-steady-state processes, uniform bacterial population, one limiting substrate. variation specific surface area with growth included model, its effect on performance analyzed. analysis leads conclusion excessive accumulation biomass reactor has negative contaminant...
Abstract. Part 1 of this paper has discussed the uncertainties arising from gaps in knowledge or limited understanding processes involved different natural hazard areas. Such deficits may include about frequencies, process representations, parameters, present and future boundary conditions, consequences impacts, meaning observations evaluating simulation models. These are epistemic that can be difficult to constrain, especially terms event scenario probabilities, even as elicited...
Abstract. This paper focuses on the use of community-based early warning systems for flood resilience in Nepal. The first part work outlines evolution and current status these systems, highlighting limited lead times currently available warning. second development a robust operational forecasting methodology by Nepal Department Hydrology Meteorology (DHM) to enhance times. uses data-based physically interpretable time series models data assimilation generate probabilistic forecasts, which...
Disaster-based failures can seriously disrupt any communication network, making its services unavailable. Such disruptions may be caused by natural disasters, technology-related failures, or malicious attacks, and they are observably increasing in number, intensity scale. When network that a part of critical infrastructure become unavailable, commercial and/or societal problems inevitable. The issue limiting the impact disaster-based needs to urgently addressed due lack suitable mechanisms...
Reference EPFL-ARTICLE-184119doi:10.1029/2012Wr012282View record in Web of Science Record created on 2013-02-27, modified 2016-08-09
Abstract Part 1 of this study discussed the concept using a form Turing‐like test for model evaluation, together with eight principles implementing such an approach. In part, framing fitness‐for‐purpose as is discussed, example application trying to assess whether rainfall‐runoff might be adequate representation discharge response in catchment predicting future natural flood management scenarios. It shown that variation between event runoff coefficients record can used create some limits...