The MeteoMet project - metrology for meteorology: challenges and results.
A. Merlone,Giuseppina Lopardo,Francesca Sanna,S A Bell,R. Benyon,R. A. Bergerud,F. Bertiglia,Jovan Bojkovski,N. Böse,Manola Brunet,A. Cappella,Graziano Coppa,D. del Campo,M. Dobre,Janko Drnovšek,Volker Ebert,Ragne Emardson,Vito Fernicola,K. Flakiewicz,Tom Gardiner,C. Garcia-Izquierdo,E. Georgin,Alba Gilabert,A. Grykalowska,E. Grudniewicz,Martti Heinonen,M. Holmsten,D. Hudoklin,Jan M. Johansson,Heikki Kajastie,H. Kaykisizli,P. Klason,L. Kňazovická,Antti Lakka,A. Kowal,H. Müller,Chiara Musacchio,Javis A. Nwaboh,P. Pavlasek,Aline Piccato,Laurent Pitre,M de Podesta,M. K. Rasmussen,Hannu Sairanen,D. Smorgon,F. Sparasci,R. Strnad,A. Szmyrka Grzebyk,Robin Underwood +48 more
TLDR
The Metrology for Meteorology (MeteoMet) project as mentioned in this paper is an attempt to bridge the meteorological and metrological communities, which is the concept of traceability, an idea used in both fields but with a subtle difference in meaning.Abstract:
The study describes significant outcomes of the Metrology for Meteorology' project, MeteoMet, which is an attempt to bridge the meteorological and metrological communities. The concept of traceability, an idea used in both fields but with a subtle difference in meaning, is at the heart of the project. For meteorology, a traceable measurement is the one that can be traced back to a particular instrument, time and location. From a metrological perspective, traceability further implies that the measurement can be traced back to a primary realization of the quantity being measured in terms of the base units of the International System of Units, the SI. These two perspectives reflect long-standing differences in culture and practice and this project - and this study - represents only the first step towards better communication between the two communities. The 3 year MeteoMet project was funded by the European Metrology Research Program (EMRP) and involved 18 European National Metrological Institutes, 3 universities and 35 collaborating stakeholders including national meteorology organizations, research institutes, universities, associations and instrument companies. The project brought a metrological perspective to several long-standing measurement problems in meteorology and climatology, varying from conventional ground-based measurements to those made in the upper atmosphere. It included development and testing of novel instrumentation as well as improved calibration procedures and facilities, instrument intercomparison under realistic conditions and best practice dissemination. Additionally, the validation of historical temperature data series with respect to measurement uncertainties and a methodology for recalculation of the values were included.read more
Citations
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Machine learning for site-adaptation and solar radiation forecasting
TL;DR: Through a study case with real data, the benefits of using the proposed methodology based on machine and deep learning techniques to integrate data from different sources and to construct precise solar radiation forecasting models in regions where solar energy systems are required are shown.
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Temperature extreme records: World Meteorological Organization metrological and meteorological evaluation of the 54.0°C observations in Mitribah, Kuwait and Turbat, Pakistan in 2016/2017
Andrea Merlone,Hassan Al‐Dashti,Nadeem Faisal,Randall S. Cerveny,Said AlSarmi,P. Bessemoulin,Manola Brunet,Fatima Driouech,Yelena Khalatyan,Thomas C. Peterson,Fatemeh Rahimzadeh,Blair Trewin,M. M. Abdel Wahab,Serpil Yagan,Graziano Coppa,Denis Smorgon,Chiara Musacchio,Daniel S. Krahenbuhl +17 more
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The altitudinal temperature lapse rates applied to high elevation rockfalls studies in the Western European Alps
TL;DR: In this paper, the authors quantify the values and the variability of the hourly altitudinal temperature lapse rates (ATLR) and apply this to estimated temperatures at high-elevation sites for rockfalls studies.
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New insights in the relation between climate and slope failures at high-elevation sites
TL;DR: In this article, the authors analyzed 358 slope failures which occurred in the Italian Alps in the period 2000-2016, at an elevation above 1500 m a.s. They used a statistical-based method to detect climate anomalies associated with the occurrence of slope failures, with the aim to catch an eventual climate signal in the preparation and/or triggering of the considered case studies.
Journal ArticleDOI
The MeteoMet2 project—highlights and results
A. Merlone,Francesca Sanna,G. Beges,S A Bell,Giulio Beltramino,J. Bojkovski,Manuel Chapa Brunet,D. del Campo,Antonio Castrillo,N. Chiodo,Matteo Colli,Graziano Coppa,R. Cuccaro,M. Dobre,J. Drnovsek,Volker Ebert,Vito Fernicola,Albert Garcia-Benadí,C. Garcia-Izquierdo,Tom Gardiner,E. Georgin,Ainhoa González,D. Groselj,Martti Heinonen,S. Hernández,Richard Högström,D. Hudoklin,M. Kalemci,A. Kowal,Luca G. Lanza,P. Miao,Chiara Musacchio,Jan Erik Nielsen,M. Nogueras-Cervera,S. Oğuz Aytekin,P. Pavlasek,M de Podesta,M. K. Rasmussen,J. Del-Río-Fernández,Lucia Rosso,Hannu Sairanen,Juho Salminen,Danijel Šestan,L. Šindelářová,D. Smorgon,F. Sparasci,R. Strnad,Robin Underwood,A. Uytun,M. Voldan +49 more
TL;DR: The MeteoMet project as mentioned in this paper is the largest EMRP consortium, which developed new metrological techniques, as well as improving existing ones, for use in meteorological observations and climate records.
References
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The MeteoMet2 project—highlights and results
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