A5042949406- Pleistocene-Era Hominins and Archaeology
- Archaeology and ancient environmental studies
- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Flood Risk Assessment and Management
- Archaeological and Geological Studies
- Forensic Anthropology and Bioarchaeology Studies
- Geology and Paleoclimatology Research
- Archaeological and Historical Studies
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Climate change and permafrost
- Wildlife Ecology and Conservation
- Cryospheric studies and observations
- Meteorological Phenomena and Simulations
Mott MacDonald (United Kingdom)
2019-2024
Imperial College London
2017-2018
Técnicas y Servicios de Ingeniería (Spain)
2015
Sener (Spain)
2012-2013
Methodological advances in dating the Middle to Upper Paleolithic transition provide a better understanding of replacement local Neanderthal populations by Anatomically Modern Humans. Today we know that this was not single, pan-European event, but rather it took place at different times regions. Thus, conditions could have played role. Iberia represents significant macro-region study process. Northern Atlantic Spain contains evidence both Mousterian and Early occupations, although most them...
Abstract What role did fluctuations play in biomass availability for secondary consumers the disappearance of Neanderthals and survival modern humans? To answer this, we quantify effects stadial interstadial conditions on ecosystem productivity human spatiotemporal distribution patterns during Middle to Upper Palaeolithic transition (50,000–30,000 calibrated years before present) Iberia. First, used summed probability distribution, optimal linear estimation Bayesian age modelling reconstruct...
It has been proposed that climate change and the arrival of modern humans in Europe affected disappearance Neanderthals due to their impact on trophic resources; however, it remained challenging quantify effect these factors. By using Bayesian age models derive chronology European Middle Upper Paleolithic transition, followed by a dynamic vegetation model provides Net Primary Productivity, macroecological compute herbivore abundance, we show continental regions where ecosystem productivity...
Abstract Data assimilation has been widely tested for flood forecasting, although its use in operational systems is mainly limited to a simple statistical error correction. This can be due the complexity involved making more advanced formal assumptions about nature of model and measurement errors. Recent advances definition rating curve uncertainty allow estimating flow that includes both aleatory epistemic uncertainties explicitly rigorously than current practice. The aim this study...
Abstract. A spatiotemporal point process model of rainfall is fitted to data taken from three homogeneous regions in the Basque Country, Spain. The superposition two Neyman–Scott processes, which rain cells are modelled as discs with radii that follow exponential distributions. In addition, includes a parameter for radius storm discs, so only occurs when both cell and disc overlap point. each month, regions, using modified method moments procedure ensures smooth seasonal variation estimates....
Abstract Hydrological data scarcity and uncertainty is a fundamental challenge in hydrology, particularly places with weak or declining investment hydrometric networks. It well established that fully distributed hydrological models can provide robust estimation of flows at ungauged locations, through local calibration regionalisation using spatial datasets physical properties. Even situations where are abundant, the existence inconsistent information not uncommon. The measurement,...
Faunal skeletal profiles from archaeological assemblages have been long analysed regarding differential transport of carcasses to infer hunting preferences, human mobility, or even dietary stress. However, the existence several possible accumulating agents, together with effect bone attrition, is known introduce a potential bias, thus hindering possibilities meaningful concussions. In order overcome this problem, methods were proposed during late 90s and early 2000's, although consensus was...
Abstract. A spatial-temporal point process model of rainfall is fitted to data taken from three homogeneous regions in the Basque Country, Spain. The superposition two Neyman-Scott processes, which rain cells are modelled as discs with radii that follow exponential distributions. In addition, includes a parameter for radius storm discs, so only occurs when both cell and disc overlap point. each month, regions, using modified method moments procedure ensures smooth seasonal variation...
Abstract. This study introduces a novel approach to post-processing (i.e., downscaling and bias-correcting) reanalysis-driven regional climate model daily precipitation that is capable of generalising ungauged mountain locations by leveraging sparse in situ observations probabilistic regression framework. We call this Generalised Probabilistic Regression (GPR), implement it using both generalised linear models artificial neural networks multilayer perceptrons). By testing the GPR across...