Abstracted/indexed

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.

This article describes the high-resolution Ensemble Prediction System (EPS) AEMET-γSREPS. This is the first convection-permitting EPS that operationally provide forecasts for a region of Antarctica. Kilometric-resolution EPSs, such γSREPS, will improve the short-range prediction in Antarctica in the following years. This will have a positive impact on safety and logistic activities at Antarctic research stations.

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.

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.

Access to high quality weather and climate data is crucial for a wide range of societal and economic issues. It allows optimising industrial processes with respect to efficiency. The goal of the research project FAIR is to simplify the information exchange between the DWD and economical players. This paper summarizes the results of the requirement analysis of three use cases and presents the deduced technical architecture and FAIR services aiming at a user-friendly exchange of weather data.

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.

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.

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.

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.

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.

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.

This paper proposes new relationships for momentum exchange through the air–water interface for medium size lakes. High-resolution wind and wave measurements were performed simultaneously in onshore and offshore stations in Lake Balaton. Our results show that the surface drag is remarkably higher compared to open ocean conditions due to the very young wave state which is a typical feature of midsize freshwater lakes.

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.

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.

Climate change projections for precipitation and temperature are a crucial element for stakeholders to make well-informed decisions on adaptation to new climate conditions. In this frame, the Pyrenees constitute a paradigmatic example of mountains undergoing rapid changes in environmental conditions. The impact of the scenarios becomes significant for the second half of the 21st century.

This article has been possible because of the cooperation between Television of Catalonia and the Applied Physics Department of the University of Barcelona, via the work of an intern student who was working from home because of the lockdown during the COVID19 pandemic. The mood of people we have studied in this article was similar to the one experimented by researchers. Weeks and months at home, with the only outside contact through the window, and social media.

In this modelling study, we conclude that groundwater is used unsustainably for irrigation in several areas of the Euro-Mediterranean region. In the southern Iberian Peninsula, we estimate the potential effects of reducing irrigation groundwater abstractions to sustainable amounts to prevent long-term decline of groundwater storage. These restrictions may cause crop production losses but halt groundwater depletion and increase river flow during dry periods which is beneficial for ecosystems.

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.

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.

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.

The single-column version of the shared ALADIN-HIRLAM numerical weather prediction system, called MUSC, was developed by Météo-France in the 2000s and has a growing user-base. Tools to derive the required input, to run experiments and to handle outputs have been developed within the HARMONIE-AROME configuration of the ALADIN-HIRLAM system. We also illustrate the usefulness of MUSC for testing and developing physical parametrizations related to cloud microphysics and radiative transfer.

The satellite-based fractional cloud cover and cloud top height from CLARA-A2 data record has been used to analyse trends in the Baltic Sea region, 1982–2015. Cloud observations from the Tartu-Tõravere meteorological station were used as reference data for the same period. A downward trend in fractional cloud cover in March over the 1982–2015 period was found. For cloud top heights summer and spring regional averages showed opposite signs of the trend: for June positive and for March negative.

We studied the applicability of seasonal forecast outputs in agriculture in Finland. The quality of seasonal forecasts output was assessed, and six tailored seasonal forecast indices were co-designed, developed in close collaboration with the Central Union of Agricultural Producers and Forest Owners and piloted with over 200 farmers. Although the tested seasonal forecast indices had a limited skill and need further improvements, the farmers found the climate outlooks useful.

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.

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.

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.

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.

To obtain reliable snowfall estimates in high mountain remains a challenge. This study uses daily snow water equivalent (SWE) estimates by a cosmic ray sensor on two Swiss glaciers to assess three readily-available high-quality precipitation products. We find a large bias between in situ SWE and snowfall, which differs among the precipitation products, the two sites, the winter seasons and in situ meteorological conditions. All products have great potential for various applications in the Alps.