Abstract: Climate Change Scenarios for the Basque Country: wind, humidity and radiation Maialen Martija-Díez, Roberto Hernández, José Daniel Gómez de Segura, and Santiago Gaztelumendi Adv. Sci. Res., 21, 49–61, https://doi.org/10.5194/asr-21-49-2024, 2024 This paper explores the projected changes on wind, relative humidity and solar radiation in future scenarios for the Basque Country. This work is part of the UrbanKlima2050 initiative and aims to provide a more comprehensive characterization of future climate change impacts in the region, and thus, improve the resiliency of the territory. The main results show a decrease in both wind and relative humidity by the end of this century, while solar radiation tends to increase. PubDate: Fri, 20 Dec 2024 11:40:48 +010 DOI: 10.5194/asr-21-49-2024 2024
Abstract: The Basque Impact Weather Catalogue Santiago Gaztelumendi, Joseba Egaña, Miriam Ruiz, and Eguzkiñe Iturrioz Adv. Sci. Res., 21, 41–48, https://doi.org/10.5194/asr-21-41-2024, 2024 We presents the Basque Country Impact Weather Catalogue, recording detailed information on adverse weather events and their environmental impacts. It includes context, hazard/risk, and impact sections, utilizing data from Euskalmet, Emergency, Media, Insurance, etc. Standardized information enables qualitative and quantitative analysis feasibility for events spanning the 21st century. The paper details catalogue design, structure, and implementation steps. PubDate: Wed, 30 Oct 2024 10:41:47 +010 DOI: 10.5194/asr-21-41-2024 2024
Abstract: Characterization of hydrometeorological events and flood impacts in the Basque Country Santiago Gaztelumendi, Joseba Egaña, and Kepa Otxoa de Alda Adv. Sci. Res., 21, 27–39, https://doi.org/10.5194/asr-21-27-2024, 2024 This study examines floods in the Basque Autonomous Community from 2000 to 2021, assessing damages, weather conditions, and other factors. It uses data from the Spanish Insurance Compensation Consortium and the AWS network, analyzing diverse datasets to extract indicators. Visual analytics are used for analysis and characterization. PubDate: Fri, 25 Oct 2024 09:46:04 +020 DOI: 10.5194/asr-21-27-2024 2024
Abstract: Lagrangian model with heat-carrying particles Enrico Ferrero, Bianca Tenti, and Stefano Alessandrini Adv. Sci. Res., 21, 19–25, https://doi.org/10.5194/asr-21-19-2024, 2024 A new plume rise scheme based on heat transport by particles was presented: the entrainment is simulated by the mixing of two fluids (air and plume particles) with different temperatures and the resulting temperature is given by Richmann's law. The new algorithm is compared with the one that is currently included in SPRAY-WEB by Alessandrini et al. (2013). The new scheme seems to behave better when the ambient wind speeds are higher, but the asymptotic behavior is correct even with lower speeds. PubDate: Fri, 02 Aug 2024 09:19:41 +020 DOI: 10.5194/asr-21-19-2024 2024
Abstract: Mesoscale weather influenced by auroral gravity waves contributing to conditional symmetric instability release' Paul Prikryl Adv. Sci. Res., 21, 1–17, https://doi.org/10.5194/asr-21-1-2024, 2024 We consider possible influence on severe weather occurrence by aurorally excited atmospheric gravity waves generated by solar wind coupling to the magnetosphere-ionosphere-atmosphere system. The results indicate that these gravity waves contribute to the release of instabilities in frontal zones of extratropical cyclones leading to convection and heavy precipitation. It is observed that severe snowstorms and flash floods tend to occur following arrivals of solar wind high-speed streams. PubDate: Mon, 15 Jul 2024 08:59:41 +020 DOI: 10.5194/asr-21-1-2024 2024
Abstract: Probabilistic end-to-end irradiance forecasting through pre-trained deep learning models using all-sky-images Samer Chaaraoui, Sebastian Houben, and Stefanie Meilinger Adv. Sci. Res., 20, 129–158, https://doi.org/10.5194/asr-20-129-2024, 2024 This method generates probabilistic solar power forecasts of up to 30 min using artificial intelligence and fish eye images of the sky. We investigated the impact of parameters describing the variability of the solar power on the forecast performance and divided the solar power to its direct and diffuse components. The method achieves overall good performance, while variability parameters and dividing the solar power don't show any performance gain. However, training time can be decreased. PubDate: Tue, 02 Jan 2024 22:04:54 +010 DOI: 10.5194/asr-20-129-2024 2024
Abstract: Intercomparing the quality of recent reanalyses for offshore wind farm planning in Germany's exclusive economic zone of the North Sea Thomas Spangehl, Michael Borsche, Deborah Niermann, Frank Kaspar, Semjon Schimanke, Susanne Brienen, Thomas Möller, and Maren Brast Adv. Sci. Res., 20, 109–128, https://doi.org/10.5194/asr-20-109-2023, 2023 The quality of the global reanalysis ERA5, the regional reanalysis COSMO-REA6 and a successor version (R6G2), the new Copernicus European Regional Re-Analysis (CERRA) and a regional downscaling simulation with COSMO-CLM (HoKliSim-De) is assessed for offshore wind farm planning in the German Exclusive Economic Zone (EEZ) of the North Sea. The quality is assessed using in-situ wind measurements at the research platform FINO1 and satellite-based data of the near-surface wind speed as reference. PubDate: Fri, 17 Nov 2023 10:18:38 +010 DOI: 10.5194/asr-20-109-2023 2023
Abstract: Internal boundary layer characteristics at the southern Bulgarian Black Sea coast Damyan Barantiev and Ekaterina Batchvarova Adv. Sci. Res., 20, 97–107, https://doi.org/10.5194/asr-20-97-2023, 2023 The importance of the ABL studies is essential because we live and work in it. The presented study is based on long-term acoustic soundings data for the coastal atmosphere. Such data is of great importance for the study and the theoretical description of the atmospheric processes in similar complex terrain regions and can be used for validation of different NWP and prognostic air pollution models. Such data is critically needed for the development of improved ABL parametrization schemes. PubDate: Thu, 28 Sep 2023 14:25:59 +020 DOI: 10.5194/asr-20-97-2023 2023
Abstract: Recent improvements in the E-OBS gridded data set for daily mean wind speed over Europe in the period 1980–2021 Jouke H. S. de Baar, Linh Nhat Luu, Gerard van der Schrier, Else J. M. van den Besselaar, and Irene Garcia-Marti Adv. Sci. Res., 20, 91–95, https://doi.org/10.5194/asr-20-91-2023, 2023 In this work, we present the most recent updates in the E-OBS gridded data set for daily mean wind speed over Europe. The data set is provided as an ensemble of equally likely realisations. In addition, we make a preliminary study into possible causes of the observed terrestrial wind stilling effect, such as local changes in surface roughness length. As one of the results, we do observe a terrestrial wind stilling effect, however, the trend varies locally over Europe. PubDate: Wed, 23 Aug 2023 18:23:40 +020 DOI: 10.5194/asr-20-91-2023 2023
Abstract: Preparing for the unprecedented Brian Golding, Elizabeth Ebert, David Hoffmann, and Sally Potter Adv. Sci. Res., 20, 85–90, https://doi.org/10.5194/asr-20-85-2023, 2023 In 2021, several weather disasters occurred in which conditions surpassed recorded extremes. Comparative analysis of the warnings issued for these disasters shows that the conditions were generally forecast but that lack of preparedness and/or communication failures led to loss of life in particularly vulnerable groups. PubDate: Mon, 31 Jul 2023 11:44:38 +020 DOI: 10.5194/asr-20-85-2023 2023
Abstract: Fog formation, smog situations and air quality in high school physics education Beáta Molnár, Tamás Weidinger, and Péter Tasnádi Adv. Sci. Res., 19, 159–165, https://doi.org/10.5194/asr-19-159-2023, 2023 We considered it important to complete the content knowledge of secondary school physics with those concerning atmospheric humidity, fog, and air pollution. For this aim, a three-hour teaching module was elaborated, which included the analysis of the air-polluting events together with the foggy weather. The experimental curriculum motivated the students to understand processes that take place in their environment regarding environmental protection. PubDate: Thu, 27 Jul 2023 10:38:26 +020 DOI: 10.5194/asr-19-159-2023 2023
Abstract: Decentralized forecasting of wind energy generation with an adaptive machine learning approach to support ancillary grid services Lukas Holicki, Manuel Dröse, Gregor Schürmann, and Marcus Letzel Adv. Sci. Res., 20, 81–84, https://doi.org/10.5194/asr-20-81-2023, 2023 We present a wind power forecasting procedure, that consists of a physics-based component generated at a central server, and a data-based component generated on-site the wind power plant (WPP). It provides blackout-robust data transmission to grid operators and high forecast reliability, especially in the very-short term horizon. This endeavor aims at employing WPPs for support in exceptional or critical grid situations, where short term decision making is most relevant. PubDate: Mon, 17 Jul 2023 13:54:31 +020 DOI: 10.5194/asr-20-81-2023 2023
Abstract: Using value chain approaches to evaluate the end-to-end warning chain David Hoffmann, Elizabeth E. Ebert, Carla Mooney, Brian Golding, and Sally Potter Adv. Sci. Res., 20, 73–79, https://doi.org/10.5194/asr-20-73-2023, 2023 The weather information value chain is a framework that describes how information is produced, communicated, and used in an end-to-end warning system for weather and hazard monitoring. A project under the WMO aims to explore value chain approaches to describe and evaluate high-impact weather events. The project developed a template for high-impact weather event case study collection, which allows scientists and practitioners to assess the effectiveness of warning value chains. PubDate: Tue, 11 Jul 2023 13:54:31 +020 DOI: 10.5194/asr-20-73-2023 2023
Abstract: Investigation of the ENVI-met model sensitivity to different wind direction forcing data in a heterogeneous urban environment Nils Eingrüber, Wolfgang Korres, Ulrich Löhnert, and Karl Schneider Adv. Sci. Res., 20, 65–71, https://doi.org/10.5194/asr-20-65-2023, 2023 Sensitivity analyses for wind direction effects upon an ENVI-met microclimate model were performed for a heterogeneous urban study area. Significant temperature differences were found when forcing the model with constant N/E/S/W wind direction data. Best model performance was observed using measured wind direction forcing data. The results demonstrate that cooling effects of park areas are largely directional which is important for urban planning and design of climate change adaptation measures. PubDate: Mon, 10 Jul 2023 13:54:31 +020 DOI: 10.5194/asr-20-65-2023 2023
Abstract: Capturing features of turbulent Ekman–Stokes boundary layers with a stochastic modeling approach Marten Klein and Heiko Schmidt Adv. Sci. Res., 20, 55–64, https://doi.org/10.5194/asr-20-55-2023, 2023 Atmospheric boundary layers are inherently unsteady and exhibit processes on multiple scales. A stochastic one-dimensional turbulence model is applied here to periodically forced Ekman flows. These flows are hard to model due to competing laminar and turbulent response mechanisms. It is shown that the model is able to capture parametric dependencies of the near-surface turbulence. The results consolidate improvements seen in a subgrid-scale application of the model within large-eddy simulations. PubDate: Wed, 05 Jul 2023 13:54:31 +020 DOI: 10.5194/asr-20-55-2023 2023
Abstract: Spatial regression of multi-fidelity meteorological observations using a proxy-based measurement error model Jouke H. S. de Baar, Irene Garcia-Marti, and Gerard van der Schrier Adv. Sci. Res., 20, 49–53, https://doi.org/10.5194/asr-20-49-2023, 2023 Combining high-fidelity official meteorological observations with low-fidelity crowd-sourced data in a single climate or weather map is challenging because of the significant bias and noise in the low-fidelity data. In this work, we present a method to treat this bias and noise in a statistical framework. In addition, we show that we can make an additional improvement in the quality of the map when we add high-resolution land use information. PubDate: Tue, 06 Jun 2023 09:50:25 +020 DOI: 10.5194/asr-20-49-2023 2023
Abstract: Exploratory analysis of citizen observations of hourly precipitation over Scandinavia Cristian Lussana, Emma Baietti, Line Båserud, Thomas Nils Nipen, and Ivar Ambjørn Seierstad Adv. Sci. Res., 20, 35–48, https://doi.org/10.5194/asr-20-35-2023, 2023 We have compared hourly precipitation totals measured by rain gauges installed and maintained by citizens against professional weather stations managed by the national weather services of Finland, Norway and Sweden. The manufacturer of the citizen rain gauges is Netatmo. Despite the heterogeneity of citizens' measurements, our results show that the two data sources are comparable with each other, though with some limitations. The results also show how to improve the accuracy of citizens' data. PubDate: Wed, 31 May 2023 15:19:57 +020 DOI: 10.5194/asr-20-35-2023 2023
Abstract: Return values of temperature and snow loadings for 50, 100 and 120-year return periods to support building design standards in Ireland Carla Mateus and Barry Coonan Adv. Sci. Res., 20, 17–33, https://doi.org/10.5194/asr-20-17-2023, 2023 This research presents new maps of return values of maximum and minimum shade air temperatures at mean sea level, lowest 10 cm soil temperature and snow loading at 100 m above mean sea level for 50, 100 and 120-year return periods. These maps will be crucial to inform the design of buildings and civil engineering works such as roof patterns or bridges. PubDate: Wed, 17 May 2023 12:49:46 +020 DOI: 10.5194/asr-20-17-2023 2023
Abstract: Toward effective communication of agrometeorological services Tanja Cegnar, Hendrik Boogaard, Klara Finkele, Branislava Lalic, Joanna Raymond, Saskia Lifka, David M. Schultz, and Vieri Tarchiani Adv. Sci. Res., 20, 9–16, https://doi.org/10.5194/asr-20-9-2023, 2023 Agrometeorological services often do not cover the last mile – not reaching, not being understood, nor being trusted by smallholder farmers living in remote areas. To help bridge this gap across the last mile, the workshop on effective communication of agrometeorological services took place during the EMS2022. This paper presents the outcomes and recommendations on how to bridge the gap between information providers and information users. PubDate: Thu, 04 May 2023 12:49:03 +020 DOI: 10.5194/asr-20-9-2023 2023
Abstract: Spatiotemporal investigation of wet–cold compound events in Greece Iason Markantonis, Diamando Vlachogiannis, Athanasios Sfetsos, Ioannis Kioutsioukis, and Nadia Politi Adv. Sci. Res., 19, 145–158, https://doi.org/10.5194/asr-19-145-2023, 2023 This paper examines the simulataneous exceedance of daily accumulated precipitation (RR) and minimum (TN) temperature thresholds in Greece for the period 1980–2004 and for each month in the period November to April. Available data from observations and projection simulations are used to calculate the probabilities of extreme wet-cold compound events at the past. Models are validated by the observational data. PubDate: Fri, 21 Apr 2023 00:49:24 +020 DOI: 10.5194/asr-19-145-2023 2023
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