scholarly journals Innovation management and strategic planning of innovative self-preparedness and self-protection services

2021 ◽  
Author(s):  
Iris Gräßler ◽  
Jens Pottebaum ◽  
Philipp Scholle ◽  
Henrik Thiele
Keyword(s):  
Strategic Planning ◽  
Domain Knowledge ◽  
Innovation Management ◽  
Market Potential ◽  
Success Factor ◽  
Novel Approach ◽  
Weather Events ◽  
High Impact Weather ◽  
Scenario Technique ◽  
Self Protection

Due to climatic change, the number of high impact weather events is globally increasing. The European Commission aims at increasing the preparedness and protection of both citizens and enterprises to such events. The market potential of such services in public administrations is limited. Extending the scope to self-preparedness and self-protection is both promising and challenging. A novel approach for innovation management and strategic planning based on scenario-technique has been developed, applied and validated within four case studies of the European H2020 project ANYWHERE. The new approach combines fundamental domain knowledge, out-of-the-box thinking and agile scenario technique. Targeting both new innovative services as well as add-ons for established service frameworks was identified as key success factor of innovation in the difficult market of self-preparedness and self-protection services for citizens and enterprises.

scholarly journals A methodology to conduct wind damage field surveys for high-impact weather events of convective origin

2020 ◽  
Vol 20 (5) ◽  
pp. 1513-1531 ◽  
Author(s):  
Oriol Rodríguez ◽  
Joan Bech ◽  
Juan de Dios Soriano ◽  
Delia Gutiérrez ◽  
Salvador Castán
Keyword(s):  
Field Studies ◽  
High Impact ◽  
Strong Wind ◽  
Field Surveys ◽  
Weather Events ◽  
Straight Line ◽  
High Impact Weather ◽  
Strong Winds ◽  
Wind Events ◽  
The One

Abstract. Post-event damage assessments are of paramount importance to document the effects of high-impact weather-related events such as floods or strong wind events. Moreover, evaluating the damage and characterizing its extent and intensity can be essential for further analysis such as completing a diagnostic meteorological case study. This paper presents a methodology to perform field surveys of damage caused by strong winds of convective origin (i.e. tornado, downburst and straight-line winds). It is based on previous studies and also on 136 field studies performed by the authors in Spain between 2004 and 2018. The methodology includes the collection of pictures and records of damage to human-made structures and on vegetation during the in situ visit to the affected area, as well as of available automatic weather station data, witness reports and images of the phenomenon, such as funnel cloud pictures, taken by casual observers. To synthesize the gathered data, three final deliverables are proposed: (i) a standardized text report of the analysed event, (ii) a table consisting of detailed geolocated information about each damage point and other relevant data and (iii) a map or a KML (Keyhole Markup Language) file containing the previous information ready for graphical display and further analysis. This methodology has been applied by the authors in the past, sometimes only a few hours after the event occurrence and, on many occasions, when the type of convective phenomenon was uncertain. In those uncertain cases, the information resulting from this methodology contributed effectively to discern the phenomenon type thanks to the damage pattern analysis, particularly if no witness reports were available. The application of methodologies such as the one presented here is necessary in order to build homogeneous and robust databases of severe weather cases and high-impact weather events.

A role of high impact weather events in waterborne disease outbreaks in Canada, 1975 – 2001

2006 ◽  
Vol 16 (3) ◽  
pp. 167-180 ◽  
Author(s):  
Kate M. Thomas ◽  
Dominique F. Charron ◽  
David Waltner-Toews ◽  
Corinne Schuster ◽  
Abdel R. Maarouf ◽  
...  
Keyword(s):  
Disease Outbreaks ◽  
High Impact ◽  
Waterborne Disease ◽  
Weather Events ◽  
High Impact Weather

scholarly journals A novel approach in strategic planning of power networks against physical attacks

2020 ◽  
Vol 180 ◽  
pp. 106140 ◽  
Author(s):  
Hamzeh Davarikia ◽  
Masoud Barati ◽  
Mustafa Al-Assad ◽  
Yupo Chan
Keyword(s):  
Strategic Planning ◽  
Power Networks ◽  
Novel Approach

Diagnosing factors in parameterised and resolved convection with physical tendency output in AROME-Arctic during a Cold-Air Outbreak event

2020 ◽  
Author(s):  
Marvin Kähnert ◽  
Teresa M. Valkonen ◽  
Harald Sodemann
Keyword(s):  
Weather Prediction ◽  
Cloud Microphysics ◽  
High Impact ◽  
Surface Fluxes ◽  
The Arctic ◽  
Shallow Convection ◽  
Time Step ◽  
Cold Air ◽  
Weather Events ◽  
High Impact Weather

<p>Numerical weather prediction (NWP) models generally display comparatively low predictive skill in the Arctic. Particularly, the large impact of sub-grid scale, parameterised processes, such as surface fluxes, radiation or cloud microphysics during high-latitude weather events pose a substantial challenge for numerical modelling. Such processes are most influential during mesoscale weather events, such as polar lows, often embedded in cold air outbreaks (CAO), some of which cause high impact weather. Uncertainty in Arctic weather forecasts is thus critically dependent on parameterised processes. The strong influence from several parameterised processes also makes model forecasts particularly susceptible to compensation of errors from different parameterisations, which potentially limits model improvement.<br>Here we analyse model output of individual parameterised tendencies of wind, temperature and humidity during Arctic high-impact weather in AROME-Arctic, the operational NWP model used by the Norwegian Meteorological Institute Norway for the European Arctic. Individual tendencies describe the contribution of each applied physical parameterisation to a respective variable per model time step. We study a CAO-event taking place during 24 - 27 December 2015. This intense and widespread CAO event, reaching from the Fram Straight to Norway and affecting a particularly large portion of the Nordic seas at a time, was characterised by strong heat fluxes along the sea ice edge. <br>Model intern definitions for boundary layer type become apparent as a decisive factor in tendency contributions. Especially the interplay between the dual mass flux and the turbulence scheme is of essence here. Furthermore, sensitivity experiments, featuring a run without shallow convection and a run with a new statistical cloud scheme, show how a physically similar result is obtained by substantially different tendencies in the model.</p>

The Impact of Initial Condition and Warm Conveyor Belt Forecast Uncertainty on Variability in the Downstream Waveguide in an ECWMF Case Study

2019 ◽  
Vol 147 (11) ◽  
pp. 4071-4089 ◽  
Author(s):  
Jeremy D. Berman ◽  
Ryan D. Torn
Keyword(s):  
Conveyor Belt ◽  
Forecast Uncertainty ◽  
Ensemble Forecasts ◽  
Rossby Wave Breaking ◽  
Weather Forecasts ◽  
The North ◽  
Weather Events ◽  
High Impact Weather ◽  
Sensitivity Method ◽  
The Impact

Abstract Perturbations to the potential vorticity (PV) waveguide, which can result from latent heat release within the warm conveyor belt (WCB) of midlatitude cyclones, can lead to the downstream radiation of Rossby waves, and in turn high-impact weather events. Previous studies have hypothesized that forecast uncertainty associated with diabatic heating in WCBs can result in large downstream forecast variability; however, these studies have not established a direct connection between the two. This study evaluates the potential impact of latent heating variability in the WCB on subsequent downstream forecasts by applying the ensemble-based sensitivity method to European Centre for Medium-Range Weather Forecasts (ECMWF) ensemble forecasts of a cyclogenesis event over the North Atlantic. For this case, ensemble members with a more amplified ridge are associated with greater negative PV advection by the irrotational wind, which is associated with stronger lower-tropospheric southerly moisture transport east of the upstream cyclone in the WCB. This transport is sensitive to the pressure trough to the south of the cyclone along the cold front, which in turn is modulated by earlier differences in the motion of the air masses on either side of the front. The position of the cold air behind the front is modulated by upstream tropopause-based PV anomalies, such that a deeper pressure trough is associated with a more progressive flow pattern, originating from Rossby wave breaking over the North Pacific. Overall, these results suggest that more accurate forecasts of upstream PV anomalies and WCBs may reduce forecast uncertainty in the downstream waveguide.

EFFECTIVE INNOVATION MANAGEMENT: MISSING LINK IN STRATEGIC PLANNING?

1983 ◽  
Vol 4 (1) ◽  
pp. 59-66 ◽  
Author(s):  
Michael A. McGinnis ◽  
M. Robert Ackelsberg
Keyword(s):  
Strategic Planning ◽  
Innovation Management ◽  
Missing Link

scholarly journals Towards the operational use of tweets data in high impact weather scenarios: data mining and analytics in Basque Country.

2021 ◽  
Author(s):  
Santiago Gaztelumendi
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Real Time ◽  
Basque Country ◽  
Local Level ◽  
High Impact ◽  
Severe Weather ◽  
Weather Events ◽  
The World ◽  
High Impact Weather

<p>Although social media industry is now a very congested Marketplace, Twitter continues to maintain its status as a popular social media platform. There are 330 million monthly active users and 145 million daily active users on Twitter sending more than 6,000 tweets every second in the world. In Spain case 85% population are social media users, with around 5 million tweeter profiles for a population around 47 million. In the autonomous community of Basque country (2.17 million inhabitants) around 20% of citizens use Twitter.</p><p>Twitter is a social tool that enables users to post messages (tweets) of up to 280 characters supporting a wide variety of social communication practices including photo and video attach. The Basque Meteorology Agency @Euskalmet with more than 115,3 K followers is one of the most popular accounts in Basque Country. Twitter is not only an opportunity to instantaneous spread messages to people without intermediaries, but also as a potential platform for valuable data acquisition using tweeter API capabilities. In this contribution, we present a study of different aspects related to the operational use of Twitter data in the context of high impact weather scenarios at local level.</p><p>The most important activity in Euskalmet are actions in severe weather events. Before the event, mainly centered in forecast and communication, during the event in nowcast, surveillance and impact monitoring and after the event in post-event analysis. During all these complex processes real time tweets posted by local users offer a huge amount of data that conveniently processed could be useful for different purposes. For operational staff, working at office during severe weather episodes, is critical to understand the local effects that an adverse phenomenon is causing and the correct perception of the extent of impact and social alarm. For this purposes, among others, different information associated with posted tweets can be extracted and exploited conveniently. In this work, we present some results that demonstrate how different data mining and advances analytics techniques can be used in order to include social media data information for different tasks and particularly during high impact weather events.</p><p>In this paper we summarize our experience during a proof of concept project for automatic real time tweeter analysis and the development of an operational tool for tweeter API data exploitation in the Basque Country. We present the main challenges and problems that we have had to face, including how to deal with the lack of geolocation information, since in the case of the Basque country, as in other parts of the world, tweets containing geotags are the exception, not the rule.</p>

scholarly journals Comparative analysis of genome-encoded viral sequences reveals the evolutionary history of Flaviviridae.

2021 ◽  
Author(s):  
Connor G G Bamford ◽  
William Marciel Souza ◽  
Rhys Parry ◽  
Robert J Gifford
Keyword(s):  
Comparative Analysis ◽  
Dna Sequences ◽  
Domain Knowledge ◽  
Global Scale ◽  
Biological Properties ◽  
Animal Evolution ◽  
Novel Approach ◽  
Animal Phyla ◽  
Genomic Studies ◽  
Positive Strand Rna

The flaviviruses (family Flaviviridae) are a group of positive-strand RNA viruses, many of which pose serious risks to human health on a global scale. Here, we calibrate the timeline of flavivirus evolution using flavivirus-derived DNA sequences identified in animal genomes. We demonstrate that the family is at least 100 million years old and show that this timing can be integrated with dates inferred from co-phylogenetic analysis and paleontological records to produce a cohesive overview of flavivirus evolution in which the main subgroups originate early in animal evolution and broadly co-diverge with animal phyla. In addition, we show that the arthropod-borne 'classical' flaviviruses first evolved from tick-specific viruses, and only later adapted to become insect-borne. Our findings demonstrate that the biological properties of flaviviruses have been acquired over many millions of years of evolution, implying that broad-scale comparative analysis can reveal fundamental insights into flavivirus biology. We implement a novel approach to computational genomic studies of viruses that can support these efforts by enabling more efficient utilization of evolution-related domain knowledge in virus research.

scholarly journals HYBRID MODE OF BIBLIOMETRY AND TECHNIQUE OF PROSPECTIVE SCENARIOS FOR INDUSTRY 4.0 ASSOCIATED WITH INTELLECTUAL CAPITAL

2021 ◽  
Vol 9 (5) ◽  
pp. 534-549
Author(s):  
Laudiceia Normando de Souza ◽  
Ana Eleonora Almeida Paixão ◽  
Cleide Ane Barbosa da Cruz ◽  
Teresinha Fonseca
Keyword(s):  
Decision Making ◽  
Strategic Planning ◽  
Intellectual Capital ◽  
Industry 4.0 ◽  
Economic Value ◽  
Decision Making Process ◽  
Hybrid Mode ◽  
Organizational Process ◽  
Technological Advances ◽  
Scenario Technique

The prospective scenarios technique conducts strategic planning as a futuristic signpost for the management goals of Industry 4.0 in its technological advances, directed towards the development of productive digitalization and creation of value connected to Intellectual Capital as an aggregator of economic value in the organizational process. The objective of this research is to propose a hybrid modality of bibliometrics and the prospective scenario technique for Industry 4.0 associated with Intellectual Capital. In the methodological stages of this study, the insertion of the Bibliometric Laws of Lotka, Bradford, and Zipf and its informative potential stand out, aiming to assist in the decision-making process of strategic planners.

Sign in / Sign up

Export Citation Format

Share Document