37 research outputs found

    Evaluation of global glacio-hydrological model coupling for runoff prediction: PCR-GLOBWB 2 and GloGEM

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    Global hydrological models (GHMs) have become an increasingly valuable tool in a range of global impact studies related to water resources. However, glacier parameterization is often overly simplistic or non-existent in GHMs. The representation of glacier dynamics and evolution, including related products such as glacier runoff, can be improved by relying on dedicated global glacier models (GGMs). In this study we test the hypothesis that coupling a GGM to a GHM can lead to increased GHM predictive skills and decreased GHM uncertainty through better glacier parameterization. To this end, the GGM GloGEM is coupled with the GHM PCR-GLOBWB 2 within the eWaterCycle II framework. For the years 2001-2012, the coupled model is evaluated against the uncoupled benchmark in 25 large (>50.000 km2) glacierized basins. Across all basins, the coupled model produces higher runoff throughout the melt season. In July and August, it ranges between 100.07% and 352% of the mean monthly benchmark runoff in lowly and highly glaciated basins respectively. The difference can primarily be explained by the inability of PCR-GLOBWB 2 to simulate snow redistribution and glacier retreat, causing an underestimation of glacier runoff. The coupled model better reproduces basin runoff observations primarily in highly glaciated basins, i.e. where the coupling has the most impact. This study underlines the importance of glacier representation in GHMs and demonstrates the potential of coupling a GHM with a GGM for better glacier representation and runoff predictions in glaciated basins.Civil Engineering | Environmental Engineerin

    GHM code&data

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    This is the data and code related to the publication-  A generalized heterogeneity model for spatial interpolation. The order in which the entire model performs spatial interpolation has been labeled by serial number in the code folder. Author: Peng Luo (Technical University of Munich) [email protected]</p

    A ground hydrologic model with inclusion of a layer of vegetation canopy that can interact with general-circulation model

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    In this paper, a ground hydrologic model(GHM) is presented in which the vapor, heat and momentum exchanges between ground surface covers (including vegetation canopy) and atmosphere is described more realistically. The model is used to simulate three sets of field data and results from the numerical simulation agree with the field data well. GHM has been tested using input data generated by general circulation model (GCM) runs for both the North American regions and the Chinese regions, The results from GHM are quite different from those of GHMs in GCMs. It shows that a more active concerted effort on the land surface process study to provide a physically realistic GHM for predicting the exchange between land and atmosphere is important and necessary

    Bio‐Inspired Two‐Dimensional Nanofluidic Generators Based on a Layered Graphene Hydrogel Membrane

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    An electrogenetic layered graphene hydrogel membrane (GHM) possesses ultra-large interlayer spacing of about 10 nm, forming charged 2D nanocapillaries between graphene sheets that selectively permeate counter-ions and exclude co-ions. When an electrolyte flow goes through the GHM, it functions as an integrated 2D nanofluidic generator converting hydraulic motion into electricity. The maximum streaming conductance density approaches 16.8 μA cm-2 bar-1.</p

    Growth Hacker Marketing : Ett nytt arbetssätt inom tech-startups marknadsföring

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    Dagens snabbt föränderliga affärslandskap förutsätter att företag ständigt experimenterar med sin produktutveckling och marknadsföring för att anpassa sig till en ökad digitalisering. Företag som inte lyckas tillgodose värde för sina kunder riskerar att utkonkurreras. För att överleva på marknaden måste startups ha en hög tillväxttakt. Detta har medfört att startups måste söka alternativa marknadsföringsstrategier för att maximera sina förutsättningar för att skapa tillväxt. Growth Hacker Marketing (GHM) är en relativt ny marknadsföringsstrategi som har fått sitt genomslag inom tech-branschen. Metoden omfattar kreativ marknadsföring, experimentering och ingenjörskonst, och bygger på de tidigare så populära strategierna Lean och Agil systemutveckling. I den här uppsatsen gör vi dels en fördjupad litteraturgenomgång för att sammanfatta det aktuella forskningsläget vad gäller begreppet GHM och hur det tolkas och tillämpas. Med denna bas har vi gått vidare och genomfört en studie där vi djupintervjuat fyra personer som anser sig arbeta med GHM. För att kunna ge svar på vår problemformulering, har fyra semistrukturerade intervjuer genomförts med respondenter från fyra olika tech-företag som anser sig tillämpa GHM. Intervjuguiden som används är indelad i fyra olika teman: Tolkning av begreppet GHM, tillämpning av GHM, traditionell marknadsföring vs GHM och svårigheter och utmaningar med GHM. I uppsatsen presenteras därtill ett tillämpnings-case av GHM på ett tech-startup, för att ge läsaren en ökad förståelse om strategin. Caset presenterar vilka förutsättningar tech-startupet Horseflow i det specifika fallet kan behöva ta hänsyn till för att tillämpa GHM framgångsrikt. GHM presenteras inledningsvis utifrån strategins grundläggande teorier och marknadsföringskoncept. Därefter beskrivs mer ingående hur GHM tillämpas och dess kulturella aspekter. GHM syftar till att skapa tillväxt genom produktutveckling i kombination med innovativ, digital marknadsföring. GHM leds av ett Growth Team, vars uppgift bland annat är att öka en produkts uppfattade kundvärde. För att optimera en produkts kundvärde följer Growth Teamet en strukturerad experimenteringsprocess. Detta för att avgöra vilka marknadsföringsinsatser som resulterar i tillväxt och som därför ska implementeras. Vår undersökning visar att GHM skiljer sig från traditionell marknadsföring, både vad gäller marknadsföringens syfte, kulturella aspekter och hur marknadsföringsbeslut fattas. Utifrån tillämpnings-caset kan man peka på att en framgångsrik tillämpning av GHM för ett startup- företag förutsätter, dels ett Growth Team och dels att arbetssättets experimenteringsprocess, kulturella aspekter samt produkten och dess specifika marknadsförutsättningar uppmärksammas.Today’s business landscape requires that companies constantly experiment with their product development and marketing to adapt to an increased digitalization. Companies unable to meet their costumers needs, risk being outcompeted by companies able to actualize growth. In order to survive, startups are faced with the challenge of generating a high growth rate. Due to these circumstances, startups are striving to apply alternative marketing strategies. Growth Hacker Marketing, comprising of creative marketing, experimentation and engineering, has proven itself an effective strategy to generate rapid growth within the tech-industry, Yet, in the academic world, there is limited discussion on the topic. Thus, the purpose of the thesis is to develop an understanding of the strategy and how it differs from traditional ways of executing marketing. The author will take part in interviews with four respondents currently performing the strategy to provide an integrated view on: How does Growth Hacker Marketing differ from traditional ways of executing marketing? To get a deeper understanding of the strategy, the thesis includes an application case presenting conditions a startup is required to pay attention to, in order to apply the strategy successfully. At the end, a statement of how Growth Hacker Marketing differ from traditional ways of executing marketing is presented

    Wavelet Decompositions for Quantitative Pattern Matching

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    The purpose of this paper is to provide an introduction to the concepts of wavelets and multiwavelets, and explain how these tools can be used by the analyst community to find patterns in quantitative data. Three multiwavelet bases are introduced, the GHM basis from \cite{GHM}, a piecewise polynomial basis with approximation order 4 from \cite{DGH}, and a smoother approximation-order-4 basis developed by the author in previous work \cite{K}. The technique of using multiwavelets to find patterns is illustrated in a traffic-analysis example. Acknowledgements: This work supported in part by the NACMAST consortium under contract EWAGSI-07-SC-0003

    Car Information Bus Image Restoration Using Multi-wavelet Transform Algorithm

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    Car reverse image is transmitted by information bus. Because of the bad electromagnetic environment of the engine compartment, car’s information bus sometime will be blocked or not real-time, which can lead to the uncertainty of information transmission, and will cause the risks of security and reliability of the transmitted network. A GHM multi-wavelet is adopted by this paper to restore the interference car reverse image. After balanced processing the GHM multi-wavelet, constant module blind equalization algorithm based on balanced orthogonal multi-wavelet transform (MWTCMA) is used in this paper. Compared with the constant module blind equalization algorithm (CMA) and wavelet transform constant module blind equalization algorithm (WTCMA), results show that MWTCMA can eliminate the multi-wavelet pre-filtering process through multi-wavelet transform on input signal, and improve the convergence speed. The calculation error of MWTCMA is also smaller than the other two methods.DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.269

    Deformation of Surface Nanobubbles Induced by Substrate Hydrophobicity

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    Recent experimental measurements have shown that there exists a population of nanobubbles with different curvature radii, whereas both computer simulations and theoretical analysis indicated that the curvature radii of different nanobubbles should be the same at a given supersaturation. To resolve such inconsistency, we perform molecular dynamics simulations on surface nanobubbles that are stabilized by heterogeneous substrates either in the geometrical heterogeneity model (GHM) or in the chemical heterogeneity model (CHM) and propose that the inconsistency could be ascribed to the substrate-induced nanobubble deformation. We find that, as expected from theory and computer simulation, for either the GHM or the CHM, there exists a universal upper limit of contact angle for the nanobubbles, which is determined by the degree of supersaturation alone. By analyzing the evolution of the shape of nanobubbles as a function of substrate hydrophobicity that is controlled here by the liquid-solid interaction, two different origins of nanobubble deformation are identified. For substrates in the GHM, where the contact line is pinned by surface roughness, variation in the liquid-solid interaction changes only the location of the contact line and the measured contact angle; without causing a change in the nanobubble curvature. For substrates in the CHM, however, the liquid-solid interaction exerted by the bottom substrate can deform the vapor-liquid interface, resulting in variations in both the curvature of the vapor-liquid interface and the contact angle
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