Abstract: Dynamic model of photovoltaic module temperature as a function of atmospheric conditions James Barry, Dirk Böttcher, Klaus Pfeilsticker, Anna Herman-Czezuch, Nicola Kimiaie, Stefanie Meilinger, Christopher Schirrmeister, Hartwig Deneke, Jonas Witthuhn, and Felix Gödde Adv. Sci. Res., 17, 165–173, https://doi.org/10.5194/asr-17-165-2020, 2020 The power output of solar photovoltaic (PV) modules depends largely upon incident solar radiation as well as PV module temperature. Although irradiance can fluctuate rapidly under broken cloud conditions, module temperature is subject to latency due to the solar panel's heat capacity. In order to reconcile this difference a simple four-parameter model is successfully employed to describe the dynamics of PV module temperature as a function of atmospheric conditions. PubDate: 2020-07-24T15:57:55+02:00
Abstract: TITAN automatic spatial quality control of meteorological in-situ observations Line Båserud, Cristian Lussana, Thomas N. Nipen, Ivar A. Seierstad, Louise Oram, and Trygve Aspelien Adv. Sci. Res., 17, 153–163, https://doi.org/10.5194/asr-17-153-2020, 2020 We present the open source project Titan for automatic quality control of meteorological in-situ observations. The quality control strategy adopted is a sequence of tests, where several of them utilize the expected spatial consistency between nearby observations.Titan serves real-time operational applications that process massive amounts of observations measured by networks of automatic weather stations. Further developments include transforming Titan into a more flexible library of functions. PubDate: 2020-07-22T11:07:29+02:00
Abstract: Performance of CAMS Radiation Service and HelioClim-3 databases of solar radiation at surface: evaluating the spatial variation in Germany Mathilde Marchand, Yves-Marie Saint-Drenan, Laurent Saboret, Etienne Wey, and Lucien Wald Adv. Sci. Res., 17, 143–152, https://doi.org/10.5194/asr-17-143-2020, 2020 The present work deals with the spatial consistency of two well-known databases of solar radiation received at ground level: the CAMS Radiation Service database version 3.2, abbreviated as CAMS-Rad and the HelioClim-3 database version 5, abbreviated as HC3v5. Both databases are derived from satellite images. For both databases, there is no noticeable spatial trend in the standard deviation. PubDate: 2020-07-14T19:16:18+02:00
Abstract: COVID-19 and lessons from multi-hazard early warning systems David P. Rogers, Linda Anderson-Berry, Anna-Maria Bogdanova, Gerald Fleming, Habiba Gitay, Suranga Kahandawa, Haleh Kootval, Michael Staudinger, Makoto Suwa, Vladimir Tsirkunov, and Weibing Wang Adv. Sci. Res., 17, 129–141, https://doi.org/10.5194/asr-17-129-2020, 2020 A common framework for early action to cope with complex disasters can make it easier for authorities and populations at risk, to understand the full spectrum of impacts and thus where to focus preparedness efforts, and how best to provide more targeted warnings and early actions. There are useful lessons from Multi-Hazard Impact-based Early Warning Systems for the COVID-19 pandemic, and some valuable insight to be gained in risk communication, analysis and monitoring methodologies. PubDate: 2020-07-13T19:16:18+02:00
Abstract: Regional atmospheric reanalysis activities at Deutscher Wetterdienst: review of evaluation results and application examples with a focus on renewable energy Frank Kaspar, Deborah Niermann, Michael Borsche, Stephanie Fiedler, Jan Keller, Roland Potthast, Thomas Rösch, Thomas Spangehl, and Birger Tinz Adv. Sci. Res., 17, 115–128, https://doi.org/10.5194/asr-17-115-2020, 2020 Reanalyses are long-term meteorological datasets that are based on numerical weather prediction models and the assimilation of historic observations. The regional model COSMO of Germany’s national meteorological service (Deutscher Wetterdienst) has been used to develop regional reanalyses with spatial resolution of up to 2 km. In this paper, we provide an overview of evaluation results and application examples at the European and national German level with a focus on renewable energy. PubDate: 2020-07-06T19:16:18+02:00
Abstract: WRF simulations against sodar measurements of extreme winds and local breeze circulations serial events Damyan Yanchev Barantiev, Hristina Ivanova Kirova, and Orlin Angelov Gueorguiev Adv. Sci. Res., 17, 109–113, https://doi.org/10.5194/asr-17-109-2020, 2020 In this study we look for a new knowledge of the costal boundary layer processes through analysis of extreme phenomena which include the verification of numerical modeling data outputs from the WRF mesometological model for selected period with high availability of extreme wind profiles by acoustic sounding of the atmosphere. The work is within the frame of research projects REPLICA (extReme Events and wind ProfiLe In a Coastal Area) – DM 14/1 26 May 2020. PubDate: 2020-06-29T19:16:18+02:00
Abstract: Wind: generating power and cooling the power lines Marko Kaasik and Sander Mirme Adv. Sci. Res., 17, 105–108, https://doi.org/10.5194/asr-17-105-2020, 2020 In the case of coastal wind farms, the wind that produces power simultaneously contributes to the cooling of high-voltage overhead conductors. Ideally this would allow for increased power transmission or decreased dimensions and cost of the conductor wires. In this study we investigate how well the wind speed in coastal wind farms is correlated with wind along a 75 km long 330 kW power line towards inland. PubDate: 2020-06-22T19:16:18+02:00
Abstract: Statistics of sea-effect snowfall along the Finnish coastline based on regional climate model data Taru Olsson, Anna Luomaranta, Kirsti Jylhä, Julia Jeworrek, Tuuli Perttula, Christian Dieterich, Lichuan Wu, Anna Rutgersson, and Antti Mäkelä Adv. Sci. Res., 17, 87–104, https://doi.org/10.5194/asr-17-87-2020, 2020 Statistics of the frequency and intensity of snow bands affecting the Finnish coast during years 2000–2010 was conducted. A set of criteria for meteorological variables favoring the formation of the snow bands were applied to regional climate model (RCA4) data. We found on average three days per year with favorable conditions for coastal sea-effect snowfall. The heaviest convective snowfall events were detected most frequently over the southern coastline. PubDate: 2020-06-18T19:16:18+02:00
Abstract: Optimal grid resolution for precipitation maps from commercial microwave link networks Remco (C. Z.) van de Beek, Jonas Olsson, and Jafet Andersson Adv. Sci. Res., 17, 79–85, https://doi.org/10.5194/asr-17-79-2020, 2020 High-resolution precipitation observation based on signal attenuation in a Commercial Microwave Link (CML) network is an emerging technique that is becoming more and more used. Here a pragmatic method for estimating the optimal resolution is presented. The method is demonstrated using a CML network and a representative precpitation pattern in Stockholm, Sweden. One application would be feasibility investigations in cities considering starting CML-based precipitation observations. PubDate: 2020-06-16T19:16:18+02:00
Abstract: Evaluation of ERA5, MERRA-2, COSMO-REA6, NEWA and AROME to simulate wind power production over France Bénédicte Jourdier Adv. Sci. Res., 17, 63–77, https://doi.org/10.5194/asr-17-63-2020, 2020 Wind speeds at turbine hub heights are scarcely measured and often replaced by numerical datasets when simulating wind power time series for various impact studies. Can we trust these modelled wind speeds' This work investigates five wind-speed datasets, comparing them to actual wind-speed and wind-power observations in France. They show various skills in terms of bias and hourly variability, leading to more or less realistic wind-power simulations at the local scale. PubDate: 2020-06-16T19:16:18+02:00
Abstract: Numerical modelling of the wind over forests: roughness versus canopy drag Andrey Sogachev, Dalibor Cavar, Mark Kelly, Ebba Dellwik, Tobias Klaas, and Paul Kühn Adv. Sci. Res., 17, 53–61, https://doi.org/10.5194/asr-17-53-2020, 2020 Recently an objective method was suggested to translate realistic vegetation characteristics into spatially varying values of effective roughness. This parameter allows prediction of wind flow over vegetation using models, without incorporating local drag forces in each grid volume of a three-dimensional model domain. Results of the flow simulations over different forested sites show that an approach based on a roughness representation of forest is appropriate only for the flat terrain. PubDate: 2020-06-12T08:46:17+02:00
Abstract: Competencies based innovative learning solutions for co-development of climate services in West Africa Vieri Tarchiani, Elena Rapisardi, Patrick Parrish, Edmondo Di Giuseppe, Maurizio Bacci, Marina Baldi, and Massimiliano Pasqui Adv. Sci. Res., 17, 47–52, https://doi.org/10.5194/asr-17-47-2020, 2020 This paper describes the approach and the process used for the development of TOPaCS, a contribution of RTC Italy to the WMO Global Campus initiative for ongoing continuous professional development in Meteorological and Climate Services. TOPaCS is open access and created under a Creative Commons licence, facilitating knowledge sharing and dissemination. TOPaCS is now available to the community of Climate Services through the platform www.climateservices.it. PubDate: 2020-06-09T08:46:17+02:00
Abstract: A possibilistic interpretation of ensemble forecasts: experiments on the imperfect Lorenz 96 system Noémie Le Carrer and Peter L. Green Adv. Sci. Res., 17, 39–45, https://doi.org/10.5194/asr-17-39-2020, 2020 Ensemble forecasting has gained popularity as a means of handling the limitations inherent to predicting the behavior of high dimensional systems with strong sensitivity to initial conditions. Initial conditions are sampled and propagated through the model equations, leading to a set of predictions. So far, this set has been interpreted in a probabilistic way. Here, we question this choice and show that possibility theory may be a sounder approach, especially in the case of extreme events. PubDate: 2020-06-03T15:04:39+02:00
Abstract: “What the weather will do” – results of a survey on impact-oriented and impact-based warnings in European NMHSs Rainer Kaltenberger, Andreas Schaffhauser, and Michael Staudinger Adv. Sci. Res., 17, 29–38, https://doi.org/10.5194/asr-17-29-2020, 2020 European NMHSs are progressing towards impact-oriented and impact-based warnings. This publication gives an overview of warning implementation as surveyed at 32 of the 37 NMHSs participating in the EUMETNET Meteoalarm project. Topics adressed include warning format, legislation and production process of warnings, dissemination and verification of warnings, impact databases, warning strategy and cooperation and cross-border collaboration. Obstacles are identified and trends are discussed. PubDate: 2020-05-31T19:28:26+02:00
Abstract: Bias-adjusted seasonal forecasts of soil moisture for forestry applications in Finland Otto Hyvärinen, Ari Venäläinen, and Andrea Vajda Adv. Sci. Res., 17, 23–27, https://doi.org/10.5194/asr-17-23-2020, 2020 The monthly mean soil moisture forecasts for forestry are been developed in the Finnish Meteorological Institute in cooperation with Finnish end-users. Such forecasts help in timber harvesting planning, and forecasts could large economic value. Therefore the skillfulness of forecasts was measured. Throughout the year the first month was skillful, and after that it can be hard to say if the forecasts are better than the normal conditions. Winter forecasts are a bit better than summer forecasts. PubDate: 2020-04-16T10:38:38+02:00
Abstract: High-resolution simulations with COSMO model including TERRA_URB TERRA_URB parameterization for the representation of Urban Heat Islands over South Italy Edoardo Bucchignani and Paola Mercogliano Adv. Sci. Res., 17, 19–22, https://doi.org/10.5194/asr-17-19-2020, 2020 In this work, preliminary numerical simulations with the NWO COSMO model including Urban parameterization have been performed. This work concerns simulations over a small domain located in southern Italy, in order to test the capabilities of the model in reproducing the main climate features of Urban Heat Islands over this area. Numerical results encourage further investigation and development of urban parameterization in very high-resolution configurations. PubDate: 2020-04-09T11:58:29+02:00
Abstract: Behind the scenes of an interdisciplinary effort: conception, design and production of a flyer on climate change for the citizens of Hamburg Bettina Steuri, Tanja Blome, Katharina Bülow, Juliane El Zohbi, Peter Hoffmann, Juliane Petersen, Susanne Pfeifer, Diana Rechid, and Daniela Jacob Adv. Sci. Res., 17, 9–17, https://doi.org/10.5194/asr-17-9-2020, 2020 The goal of an interdisciplinary team of scientists at the Climate Service Center Germany (GERICS) was to make the findings of the special report IPCC SR1.5 more accessible to the citizens of Hamburg. Therefore, a flyer was created that is understandable to non-climate scientists, visually attractive and generates interest.In this article, the authors provide insights into their teamwork, the underlying guiding principles as well as lessons learned that are of great value for future projects. PubDate: 2020-04-08T11:58:29+02:00
Abstract: Moisture sources and synoptic conditions of summer precipitation in the glacial zone of the East Sayan Range Eduard Y. Osipov and Olga P. Osipova Adv. Sci. Res., 17, 1–8, https://doi.org/10.5194/asr-17-1-2020, 2020 In our study, we present the new precipitation record directly obtained on a high mountain glacier in East Siberia (East Sayan Range) during summer periods of 2015–2017 using automatic weather station. We compared the record with weather stations and reanalysis data and quantified their accuracy. We analyzed the relationship between the record and the processes of atmospheric circulation and classified the processes affecting the precipitation, and defined the source of the atmospheric moisture. PubDate: 2020-03-24T08:53:27+01:00
Abstract: Computation of daily Penman–Monteith reference evapotranspiration in the Carpathian Region and comparison with Thornthwaite estimates Mónika Lakatos, Tamás Weidinger, Lilla Hoffmann, Zita Bihari, and Ákos Horváth Adv. Sci. Res., 16, 251–259, https://doi.org/10.5194/asr-16-251-2020, 2020 The PannEx is a Regional Hydroclimate Project (RHP) of the GEWEX project. A gridded meteorological dataset is available for the PannEx region as part of the CarpatClim database. The objectives of this study are: (i) to compute (ET0) for the CarpatClim dataset in the period 1961–2010 on the daily scale by using the Penman-Monteith method, and (ii) to compare ET0 with the classical Thornthwaite estimates of PET. PubDate: 2020-02-20T14:56:43+01:00
Abstract: User tailored results of a regional climate model ensemble to plan adaption to the changing climate in Germany Katharina Bülow, Heike Huebener, Klaus Keuler, Christoph Menz, Susanne Pfeifer, Hans Ramthun, Arne Spekat, Christian Steger, Claas Teichmann, and Kirsten Warrach-Sagi Adv. Sci. Res., 16, 241–249, https://doi.org/10.5194/asr-16-241-2019, 2019 In the German regional climate modeling project ReKliEs-De changes in temperature and precipitation indices are calculated from a multi model ensemble for the end of the 21st century. The results for the mitigation scenario RCP2.6 are compared to the results of the “business as usual” scenario RCP8.5. The increase of mean annual temperature and of the number of summer days will be around 3 times higher and in summer, the increase of dry days could be twice as high in RCP8.5 compared to RCP2.6. PubDate: 2019-10-30T14:56:42+01:00
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