Advances in the Use of Crowdsourced Data in Numerical Weather Prediction

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".

Deadline for manuscript submissions: closed (25 February 2022) | Viewed by 5543

Special Issue Editors


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Guest Editor
Meteorology and Climatology Department, CIMA Research Foundation, 17100 Savona, Italy
Interests: NWP; COSMO/ICON model; synoptic meteorology; severe weather; urban meteorology; data assimilation; post-processing; verification
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Guest Editor
Meteorology and Air Quality, Wageningen University, 6708 PB Wageningen, The Netherlands
Interests: meteorology; urban meteorology; crowdsourcing and opportunistic sensing; boundary-layer meteorology; mesoscale modelling; WRF ; fog

Special Issue Information

Dear Colleagues,

More and more often direct and indirect weather-related observations from non-conventional sources are being investigated for their use in the atmospheric sciences. In fact, as the spatial resolution of numerical weather prediction (NWP) models increases steadily so does the need for weather observations for data assimilation or validation purposes. Since the installation and maintenance of new professional meteorological observing equipment is costly and expensive, it is much more convenient to exploit existing information. Examples of data sources include smartphones, personal weather stations, cellular communication networks, and vehicles (such as bicycles and cars). Although they are much more available, such data are often less accurate and representative than traditional meteorological observations;  therefore, quality control is crucial when using crowdsourced data. The ultimate goal is the improvement of nowcasting forecasts of hazardous weather, such as heavy fog, urban heat island (UHI) effects, excessive rainfall, and thunderstorms, and these kinds of observations could definitely improve numerical weather prediction and help the forecasters.

This Special Issue aims to give an overview of the sources of non-conventional data and provide a focus on their use in the most recent NWP applications.

Manuscripts on all aspects of crowdsourced data are welcome for this Special Issue, including case studies, measurement campaigns, validation, and data assimilation.

Dr. Massimo Milelli
Prof. Dr. Gert-Jan Steeneveld
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • observations
  • data quality
  • assimilation
  • meteorology
  • model validation
  • post-processing
  • urban areas
  • air quality
  • nowcasting

Published Papers (1 paper)

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Research

18 pages, 3148 KiB  
Article
Meteonetwork: An Open Crowdsourced Weather Data System
by Marco Giazzi, Gianandrea Peressutti, Luca Cerri, Matteo Fumi, Isabella Francesca Riva, Andrea Chini, Gianluca Ferrari, Guido Cioni, Gabriele Franch, Gianni Tartari, Flavio Galbiati, Vincenzo Condemi and Alessandro Ceppi
Atmosphere 2022, 13(6), 928; https://doi.org/10.3390/atmos13060928 - 07 Jun 2022
Cited by 11 | Viewed by 4224
Abstract
Citizen science has shown great potential for bringing large groups of people closer to science, thanks in part to cooperation with universities and research centers. In this context, amateur weather networks played a major role in the last few decades thanks to a [...] Read more.
Citizen science has shown great potential for bringing large groups of people closer to science, thanks in part to cooperation with universities and research centers. In this context, amateur weather networks played a major role in the last few decades thanks to a constant growth in technology. An example is given by the Meteonetwork association, born in 2002, and mainly composed by atmospheric science enthusiasts, who built up in time a huge weather station network in Italy. In recent years, they have enlarged their horizons over Europe, displaying real time observations and daily maps coming from both personal weather stations and official networks. This study described how Meteonetwork has set up an open crowdsourced weather data system, how data are validated, and which products are generated and freely accessible for scientists and stakeholders for their own purposes. Two concrete use cases were described as examples: the Weatherness Project, which selects a subnet of Meteonetwork data for biometeorological and health purposes and the data assimilation process implemented to improve the initial conditions into the WRF meteorological model for daily weather forecasts. Full article
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