Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Massimo Milelli"'
Autor:
Francesco Avanzi, Francesca Munerol, Massimo Milelli, Simone Gabellani, Christian Massari, Manuela Girotto, Edoardo Cremonese, Marta Galvagno, Giulia Bruno, Umberto Morra di Cella, Lauro Rossi, Marco Altamura, Luca Ferraris
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-12 (2024)
Abstract Snow in mountainous regions is a key water resource from local to continental scales. However, the link between increasingly frequent snow droughts and socio-hydrologic impacts from headwaters to lowlands is not fully understood. To untangle
Externí odkaz:
https://doaj.org/article/220c1ec4426f4c4184e8236c9ebdac53
Autor:
Nicola Loglisci, Massimo Milelli, Juri Iurato, Timoteo Galia, Antonella Galizia, Antonio Parodi
Publikováno v:
Sensors, Vol 24, Iss 14, p 4598 (2024)
Citizen science has emerged as a potent approach for environmental monitoring, leveraging the collective efforts of volunteers to gather data at unprecedented scales. Within the framework of the I-CHANGE project, MeteoTracker, a citizen science initi
Externí odkaz:
https://doaj.org/article/5a97973f628a4686bd8303c5edefe51e
Autor:
Laura Esbrí, Tomeu Rigo, María Carmen Llasat, Riccardo Biondi, Stefano Federico, Olga Gluchshenko, Markus Kerschbaum, Martina Lagasio, Vincenzo Mazzarella, Massimo Milelli, Antonio Parodi, Eugenio Realini, Marco-Michael Temme
Publikováno v:
Atmosphere, Vol 14, Iss 8, p 1238 (2023)
Effective and time-efficient aircraft assistance and guidance in severe weather environments remains a challenge for air traffic control. Air navigation service providers around the globe could greatly benefit from specific and adapted meteorological
Externí odkaz:
https://doaj.org/article/ec4b9c9dc4cd47d4add3011dc8a3f089
Autor:
Marco-Michael Temme, Olga Gluchshenko, Lennard Nöhren, Matthias Kleinert, Oliver Ohneiser, Kathleen Muth, Heiko Ehr, Niklas Groß, Annette Temme, Martina Lagasio, Massimo Milelli, Vincenzo Mazzarella, Antonio Parodi, Eugenio Realini, Stefano Federico, Rosa Claudia Torcasio, Markus Kerschbaum, Laura Esbrí, Maria Carmen Llasat, Tomeu Rigo, Riccardo Biondi
Publikováno v:
Aerospace, Vol 10, Iss 3, p 210 (2023)
In the H2020 project “Satellite-borne and INsitu Observations to Predict The Initiation of Convection for ATM” (SINOPTICA), an air traffic controller support system was extended to organize approaching traffic even under severe weather conditions
Externí odkaz:
https://doaj.org/article/76e711cfa722489985bacacb214d9c8a
Autor:
Martina Lagasio, Giacomo Fagugli, Luca Ferraris, Elisabetta Fiori, Simone Gabellani, Rocco Masi, Vincenzo Mazzarella, Massimo Milelli, Andrea Parodi, Flavio Pignone, Silvia Puca, Luca Pulvirenti, Francesco Silvestro, Giuseppe Squicciarino, Antonio Parodi
Publikováno v:
Remote Sensing, Vol 14, Iss 24, p 6348 (2022)
Because of the ongoing changing climate, extreme rainfall events’ frequency at the global scale is expected to increase, thus resulting in high social and economic impacts. A Meteo/Hydro/Hydraulic forecasting chain combining heterogeneous observati
Externí odkaz:
https://doaj.org/article/1786c43506694713843acdb31d0d4c81
Autor:
Vincenzo Mazzarella, Massimo Milelli, Martina Lagasio, Stefano Federico, Rosa Claudia Torcasio, Riccardo Biondi, Eugenio Realini, Maria Carmen Llasat, Tomeu Rigo, Laura Esbrí, Markus Kerschbaum, Marco-Michael Temme, Olga Gluchshenko, Antonio Parodi
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4440 (2022)
The growth of air transport demand expected over the next decades, along with the increasing frequency and intensity of extreme weather events, such as heavy rainfalls and severe storms due to climate change, will pose a tough challenge for air traff
Externí odkaz:
https://doaj.org/article/d5c422f6de3647be8038a303f716990c
Autor:
Martina Lagasio, Lorenzo Campo, Massimo Milelli, Vincenzo Mazzarella, Maria Laura Poletti, Francesco Silvestro, Luca Ferraris, Stefano Federico, Silvia Puca, Antonio Parodi
Publikováno v:
Water, Vol 14, Iss 13, p 2131 (2022)
Because of the ongoing climate change, the frequency of extreme rainfall events at the global scale is expected to increase, resulting in higher social and economic impacts. Thus, improving the forecast accuracy and the risk communication is a fundam
Externí odkaz:
https://doaj.org/article/65e40a36ef8c4180ac202e5e6b7b674d
Autor:
Jürgen Helmert, Martin Lange, Jiarui Dong, Patricia de Rosnay, David Gustafsson, Evgeniy Churulin, Ekaterina Kurzeneva, Richard Müller, Jörg Trentmann, Niels Souverijns, Roland Koch, Uwe Böhm, Martin Bartik, Marzena Osuch, Inna Rozinkina, Jean-Marie Bettems, Patrick Samuelsson, Francesca Marcucci, Massimo Milelli
Publikováno v:
Meteorologische Zeitschrift, Vol 27, Iss 4, Pp 325-333 (2018)
The 1st Snow Data Assimilation Workshop, organized under the COST Action ESSEM 1404 HarmoSnow, took place in Offenbach, Germany, on 8–9 March 2017. Of particular relevance for the workshop were thematic sessions on i) data assimilation methods and
Externí odkaz:
https://doaj.org/article/73c6f1f759ff4213a5f480cdba3f24f1
Autor:
Valeria Garbero, Massimo Milelli, Edoardo Bucchignani, Paola Mercogliano, Mikhail Varentsov, Inna Rozinkina, Gdaliy Rivin, Denis Blinov, Hendrik Wouters, Jan-Peter Schulz, Ulrich Schättler, Francesca Bassani, Matthias Demuzere, Francesco Repola
Publikováno v:
Atmosphere, Vol 12, Iss 2, p 237 (2021)
The increase in built surfaces constitutes the main reason for the formation of the Urban Heat Island (UHI), that is a metropolitan area significantly warmer than its surrounding rural areas. The urban heat islands and other urban-induced climate fee
Externí odkaz:
https://doaj.org/article/8fe8e6b87f564327a7f3904d4bc32815
Autor:
Silke Dierer, Marco Arpagaus, Axel Seifert, Euripides Avgoustoglou, Rodica Dumitrache, Federico Grazzini, Paola Mercogliano, Massimo Milelli, Katarzyna Starosta
Publikováno v:
Meteorologische Zeitschrift, Vol 18, Iss 6, Pp 631-645 (2009)
The quantitative precipitation forecast (QPF) of the COSMO model, like of other models, reveals some deficiencies. The aim of this study is to investigate which physical and numerical schemes have the strongest impact on QPF and, thus, have the highe
Externí odkaz:
https://doaj.org/article/e8ac166a5fbb456fb9279343c4152040