scholarly journals Analysis of wind damages during 2009-2018 period in Basque Country

2021 ◽  
Author(s):  
Santiago Gaztelumendi

<p>Severe  weather  phenomena  impact  the  European  society  and economy  in  many  ways,  from disruption  in  various  sectors  and substantial  damages  in  infrastructure  to  human  and  economic losses.  Windstorms are amongst the most damaging natural hazards in Europe, with approximately 5 € billion of estimated annual losses in the EU.<strong> </strong></p><p>Economic losses from meteo-climatic hazards depend on the nature of the meteo-climatic severe event and on the vulnerability of exposed human assets to the particular hazard. In  this  work  we  focus  on  wind  damages  that  are  produced  when different meteorological conditions  promoted  high wind gust that affect human assets in a particular area.</p><p>In the Basque Country, wind impact episodes can occur during all the year, on one hand during summer session related with severe storms and coastal trapped disturbance and on the other during winter period mainly related with relatively deep pressure system affecting the territory. The latter are by far the ones that generate the events with the greatest impact, both in terms of their spatial extension and the amount of damage generated.</p><p>Here we present a characterization study of economic losses in Basque Country due to high impact wind events during a ten years period from 2009 to 2018. For this purpose we analyzed the “non-typical cyclonic storm”   damage   data   provided   by   the Spanish   Insurance Compensation Consortium (CCS) for the Basque Country area. 71.846 accepted claims corresponding to 189 days, affecting 251 municipalities, with a total amount of 83.6 million euros for the ten years period studied. We analyzed those data considering their typology and their spatial and temporal distribution. In order to extract some useful conclusions for further impact modeling, we include surface wind characteristics registered in the Automatic Weather Station (AWS)  Basque network. The final objective of this study is  to  contribute  in  reducing  the  knowledge  gaps  at  the  interface  between  available  local wind prediction/analysis systems and impact observed in Basque Country as a consequence of wind severe events.</p><p>The damages are distributed in 93 episodes, made up of one or more consecutive days with paid claims. The 21 high-impact episodes (more than 50 claims) account for 43% of the days with 99% of the claims and damages. In the 10 days of extreme impact (more than 1000 claims), which represent 5% of the days, 90% of the claims and 89% of the damages are recorded. The seasonal distribution of damage shows a clear winter pattern. Although the damage are produced throughout the territory, with different degree of impact in nearly all the municipalities,  there is a certain concentration in the three Basque capitals with 22% of the claims and 23% of the economic losses.</p>

2020 ◽  
Author(s):  
Lorenzo Minola ◽  
Fuqing Zhang ◽  
Cesar Azorin-Molina ◽  
Amir Ali Safaei Pirooz ◽  
Richard Flay ◽  
...  

<p>Driven by the twenty-century surface air temperature rise, extreme wind events could change in their frequency and magnitude of occurrence, with drastic impacts on human and ecosystems. As a matter of fact, windstorms and extreme wind conditions contribute to more than half of the economic losses associated with natural disasters in Europe. Across Scandinavia, the occurrence of wind gust events can affect aviation security, as well as damage buildings and forests, representing severe hazards to people, properties and transport. Comprehensive extreme wind datasets and analysis can help improving our understanding of these changes and help the society to cope with these changes. Unfortunately, due to the difficulty in measuring wind gust and the lack of homogeneous and continuous datasets across Sweden, it is challenging to assess and attribute their changes. Global reanalysis products represent a potential tool for assessing changes and impact of extreme winds, only if their ability in representing observed near-surface wind statistics can be demonstrated.</p><p>In this study the new ERA5 reanalysis product has been compared with hourly near-surface wind speed and gust observations across Sweden for 2013-2017. We found that ERA5 shows better agreement with both mean wind speed and gust measurements compared to the previous ERA-Interim reanalysis dataset. Especially across coastal regions, ERA5 has a closer agreement with observed climate statistics. However, significant discrepancies are still found for inland and high-altitude regions. Therefore, the gust parametrization used in ERA5 is further analyzed to better understand if the adopted gust formulation matches the physical processes behind the gust occurrence. Finally, an improved formulation of the gust parametrization is developed across Sweden and further tested for Norway, which is characterized by more complex topography.</p>


2021 ◽  
Author(s):  
Helge Knoop ◽  
Björn Maronga

<p>Severe wind gusts associated with strong-wind events like winter storms are regarded as the biggest thread to aviation safety during takeoff and landing. In order to get forecasts for gust hazards during strong-wind conditions, airport operators currently still rely on empirical wind gust estimation (WGE) methods that are driven solely by mesoscale and regional numerical weather prediction (NWP) model data. These models currently have grid resolutions on the order of 1 kilometer and do not adequately resolve local topography and vegetation. This is especially problematic, as these local obstacles are a primary source of near surface turbulence. This turbulence is responsible for wind gusts, but it can also no be resolved by mesoscale and regional NWP models and has to be parameterized entirely. Consequently the empirical WGE methods completely neglect the real local obstacles around a specific airport, which leads to significant uncertainties in the wind gust hazard forecasts for airspace that is downwind from those obstacles. In case this airspace is used for takeoff and landing, airport operators have no access to reliable wind gust hazard forecasts. A more adequate and physical approach to resolving local obstacles and the turbulence they induce, is high-resolution large-eddy simulation (LES). We use the high-res LES model PALM to investigate, how wind gusts induced by local obstacles impact airspace used for takeoff and landing at the airport in Frankfurt, Germany. Moreover, we evaluate how accurate these LES results are compared to high-res wind measurements from multiple sites throughout the airport and we quantify the forecast quality of the LES approach vs. the traditional empirical WGE approach. Finally, we outline a path to apply PALM as a magnifying glass nested into mesoscale models with the goal of providing a new and improved forecasting system for gust hazards at airports. This new forecasting system can be used to improve existing empirical WGE approaches and it can be applied in an operational setting to produce new gust forecast products.</p>


2020 ◽  
Vol 20 (5) ◽  
pp. 1513-1531 ◽  
Author(s):  
Oriol Rodríguez ◽  
Joan Bech ◽  
Juan de Dios Soriano ◽  
Delia Gutiérrez ◽  
Salvador Castán

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.


2018 ◽  
Vol 19 (12) ◽  
pp. e863 ◽  
Author(s):  
Tran Vu La ◽  
Christophe Messager ◽  
Marc Honnorat ◽  
Claire Channelliere

2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Sujata Pattanayak ◽  
U. C. Mohanty ◽  
Krishna K. Osuri

The present study is carried out to investigate the performance of different cumulus convection, planetary boundary layer, land surface processes, and microphysics parameterization schemes in the simulation of a very severe cyclonic storm (VSCS) Nargis (2008), developed in the central Bay of Bengal on 27 April 2008. For this purpose, the nonhydrostatic mesoscale model (NMM) dynamic core of weather research and forecasting (WRF) system is used. Model-simulated track positions and intensity in terms of minimum central mean sea level pressure (MSLP), maximum surface wind (10 m), and precipitation are verified with observations as provided by the India Meteorological Department (IMD) and Tropical Rainfall Measurement Mission (TRMM). The estimated optimum combination is reinvestigated with six different initial conditions of the same case to have better conclusion on the performance of WRF-NMM. A few more diagnostic fields like vertical velocity, vorticity, and heat fluxes are also evaluated. The results indicate that cumulus convection play an important role in the movement of the cyclone, and PBL has a crucial role in the intensification of the storm. The combination of Simplified Arakawa Schubert (SAS) convection, Yonsei University (YSU) PBL, NMM land surface, and Ferrier microphysics parameterization schemes in WRF-NMM give better track and intensity forecast with minimum vector displacement error.


2015 ◽  
Author(s):  
Gabriele Schiro ◽  
Johannes Fahrentrapp ◽  
Florian Hartig ◽  
Bernd Panassiti

Bois Noir is a grapevine disease responsible for severe economic losses in wine production. Bois Noir is caused by Candidatus Phytoplasma solani, cell wall-less bacteria belonging to the taxonomic group 16Sr-XII-A. In Germany, they are known to be vectored from plant to plant by the cixiid Hyalesthes obsoletus, but so far the prevalence of the disease in the vector population, as well as its spatio-temporal distribution is poorly understood. We therefore analyzed infections of H. obsoletus collected in different vineyards in Baden (South-Western Germany) with quantitative real-time PCR. From 125 analyzed individuals, only five were infected with Ca. Phytoplasma solani. All infected individuals were colonized by Ca. Phytoplasma solani type I which is associated with the host plant Urtica dioica (stinging nettle). More research is needed to understand the reasons of this surprisingly low prevalence of Bois Noir in the population of H. obsoletus in South-West Germany.


2019 ◽  
Vol 76 (6) ◽  
pp. 1554-1566
Author(s):  
Fabien Pointin ◽  
Fabienne Daurès ◽  
Marie-Joëlle Rochet

Abstract The EU Landing Obligation (LO) is designed to reduce bycatch (i.e. unwanted catch) through more selective fishing practices, such as avoidance behaviours which consist in allocating fishing effort to other species, fishing grounds or seasons. Incentives for fishers to change their behaviours depend on their economic performances as well as their ability to avoid bycatch. Changes in economic performances under the LO are evaluated based on cost and revenue equations. The nested grid method is then used to explore the spatial and temporal distribution of landings and discards, and to suggest alternative effort allocation to avoid bycatch. This article is focussed specifically on the French otter trawl fishery in the eastern English Channel and southern North Sea. Results suggest that under the LO the choke species problem will curtail fishing activities earlier in the year, leading to significant economic losses. In the absence of significant quota top-ups (at least 75%), a change in fishing practices consisting in reducing overall bycatch by 30% is insufficient to reduce losses. With a particular attention to choke species, more economically efficient avoidance strategies can be found thanks to the nested grid method.


2016 ◽  
Vol 68 (1) ◽  
pp. 29546 ◽  
Author(s):  
Christoph Welker ◽  
Olivia Martius ◽  
Peter Stucki ◽  
David Bresch ◽  
Silke Dierer ◽  
...  
Keyword(s):  

2009 ◽  
Vol 24 (5) ◽  
pp. 1374-1389 ◽  
Author(s):  
Daran L. Rife ◽  
Christopher A. Davis ◽  
Jason C. Knievel

Abstract The study describes a method of evaluating numerical weather prediction models by comparing the characteristics of temporal changes in simulated and observed 10-m (AGL) winds. The method is demonstrated on a 1-yr collection of 1-day simulations by the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5) over southern New Mexico. Temporal objects, or wind events, are defined at the observation locations and at each grid point in the model domain as vector wind changes over 2 h. Changes above the uppermost quartile of the distributions in the observations and simulations are empirically classified as significant; their attributes are analyzed and interpreted. It is demonstrated that the model can discriminate between large and modest wind changes on a pointwise basis, suggesting that many forecast events have an observational counterpart. Spatial clusters of significant wind events are highly continuous in space and time. Such continuity suggests that displaying maps of surface wind changes with high temporal resolution can alert forecasters to the occurrence of important phenomena. Documented systematic errors in the amplitude, direction, and timing of wind events will allow forecasters to mentally adjust for biases in features forecast by the model.


Author(s):  
Anna Filipiak ◽  
Tadeusz Malewski ◽  
Ewa Matczyńska ◽  
Marek Tomalak

Abstract Bursaphelenchus xylophilus is an emerging pathogenic nematode that is responsible for a devastating epidemic of pine wilt disease worldwide, causing severe ecological damage and economic losses to forestry. Two forms of this nematode have been reported, i.e., with strong and weak virulence, commonly referred as virulent and avirulent strains. However, the pathogenicity-related genes of B. xylophilus are not sufficiently characterized. In this study, to find pathogenesis related genes we re-sequenced and compared genomes of two virulent and two avirulent populations. We identified genes affected by genomic variation, and functional annotation of those genes indicated that some of them might play potential roles in pathogenesis. The performed analysis showed that both avirulent populations differed from the virulent ones by 1576 genes with high impact variants. Demonstration of genetic differences between virulent and avirulent strains will provide effective methods to distinguish these two nematode virulence forms at the molecular level. The reported results provide basic information that can facilitate development of a better diagnosis for B. xylophilus isolates/strains which present different levels of virulence and better understanding of the molecular mechanism involved in the development of the PWD.


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