Ráðstefnugreinar - HÍ

Varanleg URI fyrir þennan undirflokkhttps://hdl.handle.net/20.500.11815/714

Skoða

Niðurstöður 1 - 20 af 38

Syntactic and semantic agreement in coordinated clauses
(Graduate Linguistics Student Association, 2023) Sigurðsson, Einar Freyr; Snorrason, Oddur; Wood, Jim; Stofnun Árna Magnússonar í íslenskum fræðum; The Árni Magnússon Institute for Icelandic Studies; Hugvísindasvið (HÍ); School of Humanities (UI)
How to Draw Commands? An Elicitation Study for Sketching on Spreadsheets
(Association for Computing Machinery (ACM), 2025-04) Hesenius, Marc; Krvavac, Mak; Valbjörnsson, Valbjörn Jón; Theresia Mita Erika; Book, Matthias; Iðnaðarverkfræði-, vélaverkfræði- og tölvunarfræðideild (HÍ); Faculty of Industrial Eng., Mechanical Eng. and Computer Science (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
Sketching is one of the oldest techniques humans use to express themselves. We sketch to visualize concepts, externalize memory, and communicate ideas. However, we barely use sketching to interact with computers. Given how naturally sketching comes to humans, we believe untapped potential exists in being able to simply draw commands onto a user interface. In this paper, we present results of an elicitation study about expressing common operations in spreadsheets through sketching. Spreadsheets are an interesting class of applications because they are widely used, support complex data and operations, and are available on touch-enabled devices. Our results show that despite considerable variation in syntactic details, participants gravitate towards recurring patterns (e.g., enclosures and arrows, examples and cross-references, and temporal sequences of strokes). The sketch patterns we identified can be a first step towards developing interpreters of sketched commands, and thus enable new means of interacting with spreadsheets and other applications.
Adapting Agricultural Virtual Environments in Game Engines to Improve HPC Accessibility
(Springer, 2024) Baker, Dirk Norbert; Bauer, Felix Maximilian; Schnepf, Andrea; Scharr, Hanno; Riedel, Morris; Göbbert, Jens Henrik; Hvannberg, Ebba Thora; Iðnaðarverkfræði-, vélaverkfræði- og tölvunarfræðideild (HÍ); Faculty of Industrial Eng., Mechanical Eng. and Computer Science (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
E-infrastructures deliver basic supercomputing and storage capabilities but can benefit from innovative higher-level services that enable use-cases in critical domains, such as environmental and agricultural science. This work describes methods to distribute virtual scenes to the GPU nodes of a modular supercomputer for data generation. High information density virtual scenes, containing $>100$k geometries, typically cannot be rendered in real-time without techniques that change the information content, such as level-of-detail or culling approaches. Our work enables the concurrent and partitioned coupling to the image analysis in such a way that the data generation is dynamic and can be allocated to GPU nodes on demand, resulting in the possibility of moving through a continuous virtual scene rendered on multiple nodes. Within agricultural data analysis, the approach is especially impactful as virtual fields contain many individual geometries that coexist in one continuous system. Our work facilitates the generation of high-quality image data sets which has the potential to solve the challenge of scarcity of well-annotated data in agricultural science. We use real-time communication standards to couple the data production with the image analysis training. We demonstrate how the use-case rendering impacts effective use of the compute nodes and furthermore develop techniques to distribute the workload to improve the data production.
Photoluminescence study of Si_1-xGe_x nanoparticles in various oxide matrices
(IEEE, 2021-10-06) Sultan, Muhammad Taha; Gudmundsson, J. T.; Manolescu, Andrei; Ciurea, Magdalena Lidia; Svavarsson, Halldor; Ingvarsson, Snorri; Raunvísindastofnun (HÍ); Science Institute (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
We investigate the photoluminescence properties of structures comprising of Si1-xGex nanoparticles (NPs) within SiO2, GeO2, TiO2 and Ta2O5 oxide matrices. Of the investigated structures, it was observed that the structures with GeO2 and TiO2 matrices provide increased spectral response (at ~907 and 844 nm respectively) and increased PL intensity. The improved PL characteristic have been attributed to increased diffusion barrier against oxygen which otherwise would result in formation of unwanted oxide at the film-oxide interface, thereby deteriorating the optical properties.
Effect of VN buffer layer on the magnetic anisotropy of epitaxial Ni₈₀Fe₂₀thin films deposited on MgO (001) substrates
(IEEE, 2022-10-12) Sultan, Muhammad Taha; Tryggvason, Ásgeir; Arnalds, Unnar; Ingvarsson, Snorri; Raunvísindastofnun (HÍ); Science Institute (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
This study incorporates the structural and magnetic characterization of epitaxial Ni80Fe20 films grown by direct current magnetron sputtering on MgO(001) and MgO(001)||VN(001) substrates. A series of samples grown with different N2 flow settings for the deposition of VN and similar permalloy deposition parameters was utilized to investigate the effect of morphological evolution and buffer layer induced strain on the magnetic properties of Ni80Fe20. X-ray diffraction analysis reveals an epitaxial nature of the VN(001) and Py(001) films grown on MgO substrates. Angular dependent magneto-optical Kerr effect characterization reveals a cubic anisotropy for Ni80Fe20 on MgO with a coercivity of ∼0.8 Gauss along the easy directions. Incorporating an epitaxial VN buffer, the structures showed a transition from a cubic to isotropic magneto-crystalline anisotropy with coercivity varying from 2.5 to 25 Gauss for Ni80Fe20 deposition on VN (with N2 varying from 5 to 12 sccm). The variation is attributed to the microstructural evolution of the Ni80Fe20 to 3D structures along with an induced structural strain.
Structural and magnetic changes in CoAlZr thin films upon post annealing
(IEEE, 2022-10-12) Tryggvason, Ásgeir; Frímannsdóttir, T. H.; Sultan, Muhammad Taha; Thorarinsdottir, K. A.; Magnus, F.; Ingvarsson, Snorri; Raunvísindadeild (HÍ); Faculty of Physical Sciences (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
We present a study of the effect of annealing amorphous ferromagnetic thin films of Co0.85(Al0.7Zr0.3)0.15, post deposition. The annealing was done in vacuum with no applied magnetic field. We find that already at a relatively low annealing temperature of 130 ◦C there is crystallite formation that introduces both structural and magnetic inhomogeneity. This does not affect the saturation magnetization strongly, but strongly affects the switching behavior and the overall effective anisotropy of the films. Further, there is a dramatic increase in magnetization damping. Thus, the annealing has a profound effect on both static and dynamic magnetic properties of the material. This is important to keep in mind for potential applications using these materials.
Strong ground motion in the epicentral area of the 2020-2021 earthquake swarm in the Reykjanes Peninsula, Iceland
(Conspress, 2022-09-04) Hernandez, Victor; Rupakhety, Rajesh; Ólafsson, Símon; Bessason, Bjarni; Erlingsson, Sigurdur; Umhverfis- og byggingarverkfræðideild (HÍ); Faculty of Civil and Environmental Engineering (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
The Geldingadalur eruption in the Reykjanes Peninsula on 19 March 2021 was preceded by several earthquakes of volcano-tectonic origin throughout 2020 and 2021. Seven earthquakes with magnitude M≥5 took place during the swarm, all of them recorded by the Icelandic Strong Motion Network operated by the Earthquake Engineering Research Centre of the University of Iceland. In this paper we present salient features of strong ground motion in the epicentral area caused by the swarm. Interestingly, earthquakes as small as M5.0 caused peak ground acceleration (PGA) larger than the 475-year return period PGA at a town near the epicentral area. At two recording stations, unusually high energy content at vibration periods <0.3s was detected, with spectral accelerations exceeding the design values. The largest recorded horizontal PGA was ~0.4g at Krýsuvík, station, which is the strongest PGA recorded in Iceland since the MW6.3 2008 Ölfus Earthquake. For this station we present horizontal-to-vertical spectral ratios indicating likely site-effects. We also compare the attenuation of PGA of the largest event of the sequence with two groundmotion prediction equations (GMPEs). The recorded PGA attenuation is well captured by a local GMPE.
Liquefaction Assessment of a Loose Silty Sand Site in the 2008 Mw 6.3 Ölfus Earthquake
(Conspress, 2022-09-04) Fattahi, Seyed Javad; Olafsdottir, Elin Asta; Erlingsson, Sigurdur; Bessason, Bjarni; Rupakhety, Rajesh; Umhverfis- og byggingarverkfræðideild (HÍ); Faculty of Civil and Environmental Engineering (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
Seismicity in Iceland is related to the Mid-Atlantic plate boundary and primarily consolidated in two complex fracture zones. Liquefaction was observed after the Mw 6.3 Ölfus earthquake in 2008 at the site Arnarbaeli. The site consists of a thick silty sand stratum on the banks of the estuary of the river Ölfusa, and it is located less than 10 km from the earthquake epicentre. Based on nearby time history registrations, the estimated acceleration at the site was 0.6 - 0.7g. Using a simplified method, the safety factor against liquefaction based on the equivalent linear (EL) approach has been estimated. The analysis is built on in-situ field test data (i.e., MASW, and SPT). The analysis reveals the liquefaction depth, 4.4 m. It is shown that not only the current procedure is capable of predicting the occurrence of liquefaction, but also the safety factor which is in good agreement with the observed surface evidence of liquefaction at the site.
Comparative seismic risk assessment of the residential buildings for a strong earthquake scenario in Iceland using local vs. global models
(Conspress, 2022-09-04) Darzi, Atefe; Bessason, Bjarni; Halldórsson, Benedikt; Moosapoor, Mojtaba; Civil and Environmental Engineering; Umhverfis- og byggingarverkfræðideild (HÍ); Faculty of Civil and Environmental Engineering (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
Iceland is the most seismically active region in northern Europe and damaging earthquakes repeatedly occur in the South Iceland Seismic Zone (SISZ), a relatively densely populated region accommodating all critical infrastructures and lifelines. The most recent damaging earthquake in the SISZ was the Mw6.3, 29-May-2008 Ölfus earthquake that occurred in close vicinity of the Hveragerði town. The town experienced intense near-fault strong-motion recorded on a strong-motion array (ICEARRAY I). To understand the consequences that a strong earthquake can cause in a high seismic region in terms of damage probability and damage-to-cost ratio, and to identify the most vulnerable building typologies, we perform seismic risk analyses for the Ölfus earthquake scenario across Hveragerði. Having detailed ground-motion data and a complete building exposure database give the unique opportunity to perform loss estimation in a high geographical resolution of building-by-building, contrary to the common municipality-based resolution. To this end, we employed the Empirical Bayesian Kriging method to estimate the intensity measures at building locations as well as account for the impact of their variability on the expected seismic loss. Finally, the risk metrics resultant from the global fragility curves developed as part of the global seismic risk model are compared with the most recent local models.
A provisional seismic source zonation of Iceland for the ESHM20 based on new physics-based bookshelf fault system models and a new revised earthquake catalogue
(Conspress, 2022-08-04) Halldorsson, Benedikt; Kowsari, Milad; Bayat, Farnaz; Abril, Claudia; Bessason, Bjarni; Snæbjörnsson, Jónas Þór; Umhverfis- og byggingarverkfræðideild (HÍ); Faculty of Civil and Environmental Engineering (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
The earthquake hazard in Iceland is highest in its two transform zones, the South Iceland Seismic Zone in the South and the Tjörnes Fracture Zone in the North and the reliable probabilistic seismic hazard assessment (PSHA) is the prerequisite for the codified aseismic design of structures and mitigation of seismic risk. The three fundamental aspects of a reliable PSHA, the proper specification of the seismic sources, in particular in the transform zones, their activity rates, and the use of acceptable forms of ground motion models that characterize the rapid attenuation of Icelandic strong-motion, need to be based on the latest state-of-the-art information and methods. In this study, we present a new and provisional subdivision of Iceland into seismic area-source zones on the basis of new physics-based fault system models as well as parameter set for each zone based on new revised and harmonised earthquake catalogue for Iceland. The zonation is guided by the systematic spatial distribution of the predominant types of earthquake faulting mechanisms in Iceland, consistent with the volcanic and transform zones in the country. Moreover, the new physics-based estimates of activity rates in the transform zones effectively explain the historical seismicity and allow the specification of subzone activity rates. On the basis of this new zonation finite-fault earthquake catalogues can be simulated for long-time intervals that are consistent with the time-independent estimates of seismicity. The provisional seismic zonation model can therefore both serve as the basis for the revision of the PSHA of Iceland using conventional engineering approaches and lays the foundation for physics-based earthquake rupture simulation approaches to the time-independent PSHA. For the time being however, this provisional model has been provided to the harmonized efforts of PSHA in Europe (ESHM20).
Empirical vulnerability curves for Icelandic low-rise buildings based on zero-inflated beta regression model
(Conspress, Bucharest, Rumenia, 2022-09-04) Bessason, Bjarni; Rupakhety, Rajesh; Bjarnason, Jón Örvar; Umhverfis- og byggingarverkfræði (HÍ); Faculty of Civil and Environmental Engineering (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
In June 2000, two earthquakes of ~Mw6.5 struck in South Iceland, and in May 2008 the same region was hit again further west, with Mw6.3 event. Almost 5000 residential buildings were affected in each of these two seismic events. To fulfil insurance claims, detailed, and complete loss data were collected in each case, and the 2000 dataset and 2008 dataset were established. Having access to two high quality loss datasets from different size earthquakes, affecting the same building typologies in the same region, is rare to find in the literature. An advanced empirical vulnerability model based on zero-inflated beta regression was fitted to five building typologies, classified according to the GEM taxonomy system, independently for the 2000 dataset and the 2008 dataset. Status of seismic codes was considered when defining the building typologies. PGA was used as intensity measure. For all the five building typologies, the calibrated vulnerability functions and the fragility curves are substantially different from these two datasets. This indicates that PGA is not alone an adequate intensity measure to predict losses. The results also show that status of seismic code affects the performance of the buildings as one would like to see.
The capability of recurrent neural networks to predict turbulence flow via spatiotemporal features
(IEEE, 2022-07-06) Hassanian, Reza; Bouhlali, Lahcen; Riedel, Morris; Iðnaðarverkfræði-, vélaverkfræði- og tölvunarfræðideild (HÍ); Faculty of Industrial Eng., Mechanical Eng. and Computer Science (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
This study presents a deep learning (DL) neural network hybrid data-driven method that is able to predict turbulence flow velocity field. Recently many studies have reported the application of recurrent neural network (RNN) methods, particularly the Long short-term memory (LSTM) for sequential data. The airflow around the objects and wind speed are the most presented with different hybrid architecture. In some of them, the data series is used with the known equation, and the data is firstly generated. Data series extracted from Computational Fluid Dynamics (CFD) have been used in many cases. This work aimed to determine a method with raw data that could be measured with devices in the airflow, wind tunnel, water flow in the river, wind speed and industry application to process in the DL model and predict the next time steps. This method suggests spatialtemporal data in time series, which matches the Lagrangian framework in fluid dynamics. Gated Recurrent Unit (GRU), the next generation of LSTM, has been employed to create a DL model and forecasting. Time series data source is from turbulence flow has been generated in a laboratory and extracted via 2D Lagrangian Particle Tracking (LPT). This data has been used for the training model and to validate the prediction in the suggested approach. The achievement via this method dictates a significant result and could be developed.
Lagrangian Particle Tracking Data of a Straining Turbulent Flow Assessed Using Machine Learning and Parallel Computing
(ParCFD2022, 2022-05-25) Hassanian, Reza; Riedel, Morris; Helgadottir, Asdis; Costa, Pedro; Bouhlali, Lahcen; Iðnaðarverkfræði-, vélaverkfræði- og tölvunarfræðideild (HÍ); Faculty of Industrial Eng., Mechanical Eng. and Computer Science (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
This study aimed to employ artificial intelligence capability and computing scalability to predict the velocity field of the straining turbulence flow. Rotating impellers in a box have generated the turbulence, subsequently subjected to an axisymmetric straining motion, with mean nominal strain rates of 4s^-1. Tracer particles are seeded in the flow, and their dynamics are investigated using high-speed Lagrangian Particle Tracking at 10,000 frames per second. The particle displacement, time, and velocities can be extracted using this technique. Particle displacement and time are used as input observables, and the velocity is employed as a response output. The experiment extracted data have been divided into training and test data to validate the models. Support vector polynomial regression (SVR) and Linear regression were employed to see how extrapolation for the velocity field can be extracted. These models can be done with low computing time. On the other hand, to create a dynamic prediction, Gated Recurrent Unit (GRU) is applied with a high-performance computing application. The results show that GRU presents satisfactory forecasting for the turbulence velocity field and the computing scale performed on the JUWELS and DEEP-EST and reported. GPUs have a significant effect on computing time. This work presents the capability of the GRU model for time series data related to turbulence flow prediction.
Speed-Up of Machine Learning for Sound Localization via High-Performance Computing
(IEEE, 2022-02-16) Sumner, Eric Michael; Aach, Marcel; Lintermann, Andreas; Unnthorsson, Runar; Riedel, Morris; Iðnaðarverkfræði-, vélaverkfræði- og tölvunarfræðideild (HÍ); Faculty of Industrial Eng., Mechanical Eng. and Computer Science (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
Sound localization is the ability of humans to determine the source direction of sounds that they hear. Emulating this capability in virtual environments can have various societally relevant applications enabling more realistic virtual acoustics. We use a variety of artificial intelligence methods, such as machine learning via an Artificial Neural Network (ANN) model, to emulate human sound localization abilities. This paper addresses the particular challenge that the training and optimization of these models is very computationally-intensive when working with audio signal datasets. It describes the successful porting of our novel ANN model code for sound localization from limiting serial CPU-based systems to powerful, cutting-edge High-Performance Computing (HPC) resources to obtain significant speed-ups of the training and optimization process. Selected details of the code refactoring and HPC porting are described, such as adapting hyperparameter optimization algorithms to efficiently use the available HPC resources and replacing third-party libraries responsible for audio signal analysis and linear algebra. This study demonstrates that using innovative HPC systems at the Jülich Supercomputing Centre, equipped with high-tech Graphics Processing Unit (GPU) resources and based on the Modular Supercomputing Architecture, enables significant speed-ups and reduces the time-to-solution for sound localization from three days to three hours per ANN model.
Applying System Analysis and System Dynamics Modelling In Complex Research Projects - The Case Of VALUMICS
(Centamapress, 2018) Ólafsdóttir, Anna Hulda; Gudbrandsdottir, Ingunn Yr; Sverdrup, Harald Ulrik; Bogason, Sigurður G.; Olafsdottir, Gudrun; Stefánsson, Gunnar; Iðnaðarverkfræði-, vélaverkfræði- og tölvunarfræðideild (HÍ); Faculty of Industrial Eng., Mechanical Eng. and Computer Sciences (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
VALUMICS is a Horizon 2020 project funded by the European Commission (2017-2021). The project structure is highly integrated and transdisciplinary, building on the expertise of over 30 specialists in various fields of research including knowledge integration through systems analysis and system dynamics modelling, food science, supply chain management, life cycle assessment, logistics, economics and social science. The aim of the project is to analyze the dynamics of food supply systems using a structural analysis including system analysis and perform system simulations using system dynamics. The VALUMICS research approach and the project design are explained and it is justified why system analysis is needed to obtain an understanding of the complex connections and interactions of the distinct parts of food systems. Patterns will be recognized and thus causes and effects of complex relations within the selected food supply system and networks will be identified. This understanding of the functioning of the system can in turn be used to identify policy interventions.
One classy number: Linking morphemes in Dutch and German
(GLSA, 2020) Fenger, Paula; Harðarson, Gísli; Málvísindastofnun (HÍ); The Institute of Linguistics (UI); Hugvísindasvið (HÍ); School of Humanities (UI)
Germanic compounds often contain an element referred to as linkers, (L). These elements are homophonous with inflectional suffixes, like plural or case markers, but do not nec- essarily have the same meaning or function as the corresponding inflectional suffix. This is exemplified by Dutch below where, outside of compounds, schaap is obligatorily inter- preted as plural in the presence of the plural marker, (1a). This is not the case in compounds, where schaap is unspecified for number interpretation in the presence of the L in (1b) and does not necessarily match the choice of inflectional suffix outside of the compound in (1c). (1) Dutch (Krott et al. 2007:28) a. schaap -en sheep -PL ‘sheep’ b. schaap -en -bout sheep -L -leg ‘sheep leg’ c. schaap -s -kooi sheep -L -fold ‘sheep fold’ These L have received a wide range of analyses but typically they are analyzed as some- thing distinct from the corresponding inflectional suffixes. In this paper however, we argue, focusing on German and Dutch, that the behavior of L follows from their structural posi- tion. Following De Belder (2013), we argue that both Ls and the corresponding inflectional affixes are class markers and that the complex behaviors observed follows from their dis- tribution in the DP. Ls thus shed light on the feature system of the Germanic DP and their interactions. We furthermore propose that the presence or absence of L can be taken as an indicator of the size of the
Eliciting Sketched Expressions of Command Intentions in an IDE
(Association for Computing Machinery (ACM), 2020-11-04) Samuelsson, Sigurdur Gauti; Book, Matthias; Iðnaðarverkfræði-, vélaverkfræði- og tölvunarfræðideild (HÍ); Faculty of Industrial Eng., Mechanical Eng. and Computer Science (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
Software engineers routinely use sketches (informal, ad-hoc drawings) to visualize and communicate complex ideas for colleagues or themselves. We hypothesize that sketching could also be used as a novel interaction modality in integrated software development environments (IDEs), allowing developers to express desired source code manipulations by sketching right on top of the IDE, rather than remembering keyboard shortcuts or using a mouse to navigate menus and dialogs. For an initial assessment of the viability of this idea, we conducted an elicitation study that prompted software developers to express a number of common IDE commands through sketches. For many of our task prompts, we observed considerable agreement in how developers would express the respective commands through sketches, suggesting that further research on a more formal sketch-based visual command language for IDEs would be worthwhile.
Towards Sketch-based User Interaction with Integrated Software Development Environments
(Association for Computing Machinery (ACM), 2020-06-27) Samuelsson, Sigurdur Gauti; Book, Matthias; Iðnaðarverkfræði-, vélaverkfræði- og tölvunarfræðideild (HÍ); Faculty of Industrial Eng., Mechanical Eng. and Computer Science (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
Powerful software tools, such as software development environments, often have complex graphical user interfaces (GUIs) that are not intuitive to handle, especially when performing complex, multi-step operations. We hypothesize that sketching could be a more intuitive way of expressing user intentions than navigating nested menus or memorizing keyboard shortcuts to accomplish complex operations. Enabling this vision requires software capable of both allowing the user to sketch anywhere on a GUI, and interpreting those sketches as specific commands to be performed within the integrated development environment (IDE). In this paper, we report on preliminary results of an elicitation study performed to gather insights into how developers would use a sketch-based interface.
Relation between the water isotopic composition in the North Atlanticmarine boundary layer and the boundary layer dynamic
(European Geosciences Union, 2019) Sveinbjörnsdóttir, Árný; Lacour, Jean-Lionel; Steen-Larsen, Hans Christian; Peters, Andrew; Jarðvísindastofnun (HÍ); Institute of Earth Sciences (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
Water isotopes are powerful tracers of the hydrological cycle and can be used to serve many purposes in climateresearch. Here, we use water isotopic measurements – in the vapour and in the precipitations – from Bermudaand Iceland measurement facilities, as well as from the Infrared Remote Sensing Interferometer (IASI), toinvestigate the feedback between evaporation and the boundary layer development through shallow convection.
Freshwater exports from Arctic to the Labrador and Greenland shelf andslope.
(European Geosciences Union, 2017) Benetti, Marion; Reverdin, Gilles; Holliday, Penny; Olafsdottir, Solveig; Lherminier, Pascale; Sarthou, Geraldine; De Steu, Laura; Sveinbjörnsdóttir, Árný; Valdes, Sinhue Torres; Tynan, Eithne; Yashayaev, Igor; Olafsson, Jon; Jarðvísindastofnun (HÍ); Institute of Earth Sciences (UI); Verkfræði- og náttúruvísindasvið (HÍ); School of Engineering and Natural Sciences (UI)
We investigate whether one can detect changes in the freshwater contributions to the North Atlantic subpolar gyre(SPG), in light of the observed recent decrease of salinity in the region. We focus on two important conduits offreshwater from the Arctic to the interior North Atlantic subpolar gyre: the Coastal Labrador Current and thesouthern Greenland shelf, and use a dataset of different freshwater tracers from a set of cruises over the period2010-2014.

Skoða

Nýlegt