Exploratory analysis of citizen observations of hourly precipitation over Scandinavia
<p>We present a comparison between Netatmo hourly precipitation amounts and observations of the same quantity from weather stations managed by national meteorological services, the latter used as reference values. The empirical distributions of the crowdsourced observations in the surroundings...
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Format: | Article |
Language: | English |
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Copernicus Publications
2023-05-01
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Series: | Advances in Science and Research |
Online Access: | https://asr.copernicus.org/articles/20/35/2023/asr-20-35-2023.pdf |
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author | C. Lussana E. Baietti L. Båserud T. N. Nipen I. A. Seierstad |
author_facet | C. Lussana E. Baietti L. Båserud T. N. Nipen I. A. Seierstad |
author_sort | C. Lussana |
collection | DOAJ |
description | <p>We present a comparison between Netatmo hourly precipitation amounts and observations of the same quantity from weather stations managed by national meteorological services, the latter used as reference values. The empirical distributions of the crowdsourced observations in the surroundings of reference stations are used to assess accuracy and precision of crowdsourced data. We found that reference values are typically within the distribution of the crowdsourced data. However, as the amount of precipitation increases, the spread of the crowdsourced distribution increases and the reference values are more and more frequently found towards the right tail of the distribution. These results indicate that accuracy and precision of crowdsourced data change as precipitation increases. We have studied the sensitivity of our results to the size of the neighbourhood chosen around the reference stations and we show that by aggregating the values over those neighbourhoods, crowdsourced data can be trusted in determining precipitation occurrence. We have assessed the variability of precipitation within small neighbourhoods (of radius 1, 3 and 5 km) and we provide estimates on the basis of the precipitation amounts. Our study quantifies the variability of hourly precipitation over small regions, of the size of the so-called “unresolved spatial scales” in limited area models, based on three years of data collected at several places in Scandinavia.</p> |
first_indexed | 2024-03-13T08:18:09Z |
format | Article |
id | doaj.art-e1682b365150402bb8c4141501bdbd7d |
institution | Directory Open Access Journal |
issn | 1992-0628 1992-0636 |
language | English |
last_indexed | 2024-03-13T08:18:09Z |
publishDate | 2023-05-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Advances in Science and Research |
spelling | doaj.art-e1682b365150402bb8c4141501bdbd7d2023-05-31T13:15:44ZengCopernicus PublicationsAdvances in Science and Research1992-06281992-06362023-05-0120354810.5194/asr-20-35-2023Exploratory analysis of citizen observations of hourly precipitation over ScandinaviaC. Lussana0E. Baietti1L. Båserud2T. N. Nipen3I. A. Seierstad4The Norwegian Meteorological Institute, Oslo, NorwayUniversità di Bologna, Bologna, ItalyThe Norwegian Meteorological Institute, Oslo, NorwayThe Norwegian Meteorological Institute, Oslo, NorwayThe Norwegian Meteorological Institute, Oslo, Norway<p>We present a comparison between Netatmo hourly precipitation amounts and observations of the same quantity from weather stations managed by national meteorological services, the latter used as reference values. The empirical distributions of the crowdsourced observations in the surroundings of reference stations are used to assess accuracy and precision of crowdsourced data. We found that reference values are typically within the distribution of the crowdsourced data. However, as the amount of precipitation increases, the spread of the crowdsourced distribution increases and the reference values are more and more frequently found towards the right tail of the distribution. These results indicate that accuracy and precision of crowdsourced data change as precipitation increases. We have studied the sensitivity of our results to the size of the neighbourhood chosen around the reference stations and we show that by aggregating the values over those neighbourhoods, crowdsourced data can be trusted in determining precipitation occurrence. We have assessed the variability of precipitation within small neighbourhoods (of radius 1, 3 and 5 km) and we provide estimates on the basis of the precipitation amounts. Our study quantifies the variability of hourly precipitation over small regions, of the size of the so-called “unresolved spatial scales” in limited area models, based on three years of data collected at several places in Scandinavia.</p>https://asr.copernicus.org/articles/20/35/2023/asr-20-35-2023.pdf |
spellingShingle | C. Lussana E. Baietti L. Båserud T. N. Nipen I. A. Seierstad Exploratory analysis of citizen observations of hourly precipitation over Scandinavia Advances in Science and Research |
title | Exploratory analysis of citizen observations of hourly precipitation over Scandinavia |
title_full | Exploratory analysis of citizen observations of hourly precipitation over Scandinavia |
title_fullStr | Exploratory analysis of citizen observations of hourly precipitation over Scandinavia |
title_full_unstemmed | Exploratory analysis of citizen observations of hourly precipitation over Scandinavia |
title_short | Exploratory analysis of citizen observations of hourly precipitation over Scandinavia |
title_sort | exploratory analysis of citizen observations of hourly precipitation over scandinavia |
url | https://asr.copernicus.org/articles/20/35/2023/asr-20-35-2023.pdf |
work_keys_str_mv | AT clussana exploratoryanalysisofcitizenobservationsofhourlyprecipitationoverscandinavia AT ebaietti exploratoryanalysisofcitizenobservationsofhourlyprecipitationoverscandinavia AT lbaserud exploratoryanalysisofcitizenobservationsofhourlyprecipitationoverscandinavia AT tnnipen exploratoryanalysisofcitizenobservationsofhourlyprecipitationoverscandinavia AT iaseierstad exploratoryanalysisofcitizenobservationsofhourlyprecipitationoverscandinavia |