Abstract The Canary Islands are a leading tourist destination. Their strong economic dependence on this sector makes them vulnerable to climate change. steep orography of the islands causes impact change and their potential influence tourism be spatially heterogenous. To account for variability, regional simulations were computed using Weather Research Forecast (WRF) numerical weather prediction model driven by results three CMIP5 global models as boundary conditions, two different future...

Abstract The complex orography of the Canary Islands favors creation microclimates, which cannot be studied using global climate models or regional with moderate resolution. In this work, WRF is used to perform a dynamic regionalization in archipelago, pseudo–global warming technique compute initial and boundary conditions from reanalysis dataset results 14 models. simulations were performed for three decades, one at present (1995–2004) two future (2045–54 2090–99), different greenhouse gas...

Abstract Climate models project an increase in drought and aridity many regions response to greenhouse gas concentrations the atmosphere. In areas with complex topography, such as Canary Islands, elevation gradients may play important role future changes. Convection-permitting climate simulations driven by data from three global included Coupled Model Intercomparison Project (CMIP5) have been performed for Islands. A significant duration severity of is projected end twenty-first century...

Abstract This study evaluates the performance and portability of Weather Research Forecasting model in high-performance computing environments, comparing traditional baremetal deployments with containerized executions using Singularity. Experiments were conducted on TeideHPC system, focusing execution time, impact different compilers (Intel vs. GCC), parallelization strategies (MPI OpenMP). The results indicate that while Singularity introduces a overhead 11 to 15%, it offers significant...

The invasive alien, African giant snail, Lissachatina fulica, considered as a pest, poses significant threat to ecosystems, human health and agriculture across tropical subtropical regions. Therefore, in order address the challenge posed by presence of this animal outside its original habitat it is essential understand current potential future distribution. Thus, study, which highlights critical role regional bioclimatic datasets improving predictive accuracy species distribution models...

Abstract The ability of the Weather Research and Forecasting (WRF) Model simulations to perform climate regionalization studies in an orographically complex region, Canary Islands, is analyzed. Six different 5-yr were carried out investigate sensitivity several parameterization schemes uncertainties sea surface temperature (SST). simulated maximum minimum temperatures, together with daily rainfall, compared observational data. To take into account climatic differences this archipelago, sites...

Abstract Climate change is expected to enhance weather conditions prone wildfires. regionalized projections for the Canary Islands were performed, using as boundary some of results provided by Coupled Model Intercomparison Project (CMIP5) initiative, and covering recent past (1980–2009) future (2070–2099) periods, under two Representative Concentration Pathways, 4.5 8.5. All fire risk indicators derived from Canadian Forest Fire Weather Index (FWI) are foreseen worsen end century. The season...

Deep Neural Networks (DNNs) lack robustness against imperceptible perturbations to their input. Face Recognition Models (FRMs) based on DNNs inherit this vulnerability. We propose a methodology for assessing and characterizing the of FRMs semantic Our causes malfunction by designing adversarial attacks that search identity-preserving modifications faces. In particular, given face, our find variants face such an FRM fails recognize images belonging same identity. model these via direction-...

Abstract In this work, precipitable water vapour (PWV), its diurnal variability and vertical profiles have been obtained from Weather Research Forecasting (WRF) model simulations. The PWV simulated values validated using observations the Global Navigation Satellite Systems (GNSS) for three locations in an orographically complex region, Canary Islands archipelago, while compared with radiosonde data available region. Initial boundary conditions simulations are given by National Center...

The Weather Research and Forecasting (WRF) model has been used to simulate clouds, their effects on precipitation radiation, in Africa. results have compared with observational databases, mainly based satellite measurements. Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package (COSP) consistently compare simulated clouds data, allowing us evaluate not only the total cloud cover but also amount of different types, classified according optical thickness cloud‐top...

Deep neural networks are vulnerable to small input perturbations known as adversarial attacks. Inspired by the fact that these adversaries constructed iteratively minimizing confidence of a network for true class label, we propose anti-adversary layer, aimed at countering this effect. In particular, our layer generates an perturbation in opposite direction one and feeds classifier perturbed version input. Our approach is training-free theoretically supported. We verify effectiveness...

In island systems with complex orography (e.g. Canary Islands), obtaining projections of climate extremes throughout the 21st century is necessary to evaluate possible adverse effects change. this work, a dynamic downscaling methodology was applied obtain temperature indices. The WRF modeling system properly configured spatial resolution 3 km, for periods: 2030–2059 (MID) and 2070–2099 (END), RCPs 4.5 8.5 scenarios. This spatial-temporal allows better land-surface coupling processes (e.g.,...

This paper proposes a novel approach for rendering pre-trained Neural Radiance Field (NeRF) in real-time on resource-constrained devices. We introduce Re-ReND, method enabling Real-time Rendering of NeRFs across Devices. Re-ReND is designed to achieve performance by converting the NeRF into representation that can be efficiently processed standard graphics pipelines. The proposed distills extracting learned density mesh, while color information factorized set matrices represent scene's light...

Abstract In this work a method for determining the micro- and macrophysical properties of oceanic stratocumulus clouds is presented. It based on inversion radiative transfer model that computes albedos brightness temperatures in NOAA Advanced Very High Resolution Radiometer (AVHRR) channels. This performed using artificial neural networks (ANNs), which are trained optimized by genetic algorithms to fit theoretical computations. A detailed study ANN parameters training demonstrates...

Abstract The marine boundary layer (MBL) is a key component of Earth’s climate system, and its main characteristics (height, entrainment efficiency, energy mass fluxes, cloud formation processes, etc.) are closely linked to the properties inversion layer, which generally determines height. Furthermore, response warmer climate, one sources uncertainty in future projections, highly dependent on changes MBL inversion-layer properties. Long-term trends time series parameters at 32 stations...

This study uses methods recently developed to the complex evolution of atmospheric phenomena which have some similarities with dynamics human brain. In both cases, it is possible record activity particular centers (geographic regions or brain nuclei) but not make an experimental modification their state. The "causality", necessary understand these systems and develop robust models that can predict evolution, hampered by restrictions imposed nature systems. was performed data obtained in...

Modern optical and infrared astronomical sites are getting used to a flexible way of operation, namely queue modes, allowing observations in the most appropriate weather conditions for each specific observing scientific program. The forecast is then mandatory issue plan advance night order exploit efficiently facilities with largest high quality data output exploitation. precipitable water vapour parameter accounting (IR) an site. temporal fluctuation this drastically affects IR recorded at...

A method is presented for determining the optical thickness, effective droplet radius and temperature of oceanic stratocumulus clouds from NOAA-AVHRR infrared channels. The satellite data used in present study correspond to night-time images which large-scale stratiform overlay ocean. procedure based on inversion an atmospheric radiative transfer model that makes use discrete ordinates called DISORT. detailed shows cloud parameter retrieval ambiguous, resulting several possible solutions,...