OpenMRG: Open data from Microwave links, Radar, and Gauges for rainfall quantification in Gothenburg, Sweden
<p>Accurate rainfall monitoring is critical for sustainable societies and yet challenging in many ways. Opportunistic monitoring using commercial microwave links (CMLs) in telecommunication networks is emerging as a powerful complement to conventional gauges and weather radar. However, CML d...
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Copernicus Publications
2022-12-01
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Series: | Earth System Science Data |
Online Access: | https://essd.copernicus.org/articles/14/5411/2022/essd-14-5411-2022.pdf |
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author | J. C. M. Andersson J. Olsson R. (C. Z. ). van de Beek J. Hansryd |
author_facet | J. C. M. Andersson J. Olsson R. (C. Z. ). van de Beek J. Hansryd |
author_sort | J. C. M. Andersson |
collection | DOAJ |
description | <p>Accurate rainfall monitoring is critical for sustainable societies and yet challenging in many ways. Opportunistic monitoring using commercial microwave links (CMLs) in telecommunication networks is emerging as a powerful complement to conventional gauges and weather radar. However, CML data are often inaccessible or incomplete, which limits research and application. Here, we aim to reduce this barrier by openly sharing data at 10 <span class="inline-formula">s</span> resolution with true coordinates from a pilot study involving 364 bi-directional CMLs in Gothenburg, Sweden. To enable further comparative analyses, we also share high-resolution data from 11 precipitation gauges and the Swedish operational weather radar composite in the area. This article presents an overview of the data, including the collection approach, descriptive statistics, and a case study of a high-intensity event. The results show that the data collection was very successful, providing near-complete time series for the CMLs (99.99 %), gauges (100 %), and radar (99.6 %) in the study period (June–August 2015). The bandwidth consumed during CML data collection was small, and hence, the telecommunication traffic was not significantly affected by the collection. The gauge records indicate that total rainfall was approximately 260 <span class="inline-formula">mm</span> in the study period, with rainfall occurring in 6 % of each 15 <span class="inline-formula">min</span> interval. One of the most intense events was observed on 28 July 2015, during which the Torslanda gauge recorded a peak of 1.1 <span class="inline-formula">mm min<sup>−1</sup></span>. The variability in the CML data generally followed the gauge dynamics very well. Here we illustrate this for 28 July, where a nearby CML recorded a drop in received signal level of about 27 <span class="inline-formula">dB</span> at the time of the peak. The radar data showed a good distribution of reflectivities for mostly stratiform precipitation but also contained some values above 40 <span class="inline-formula">dBZ</span>, which is commonly seen as an approximate threshold for convective precipitation. Clutter was also found and was mostly prevalent around low reflectivities of <span class="inline-formula">−</span>15 <span class="inline-formula">dBZ</span>. The data are accessible at <a href="https://doi.org/10.5281/zenodo.7107689">https://doi.org/10.5281/zenodo.7107689</a> (Andersson et al., 2022). We believe this Open sharing of high-resolution data from Microwave links, Radar, and Gauges (OpenMRG) will facilitate research on microwave-based environmental monitoring using CMLs and support the development of multi-sensor merging algorithms.</p> |
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institution | Directory Open Access Journal |
issn | 1866-3508 1866-3516 |
language | English |
last_indexed | 2024-04-13T05:18:26Z |
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spelling | doaj.art-585541a29c5c4be290d604e9d0fd364d2022-12-22T03:00:49ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162022-12-01145411542610.5194/essd-14-5411-2022OpenMRG: Open data from Microwave links, Radar, and Gauges for rainfall quantification in Gothenburg, SwedenJ. C. M. Andersson0J. Olsson1R. (C. Z. ). van de Beek2J. Hansryd3Swedish Meteorological and Hydrological Institute (SMHI), 601 76 Norrköping, SwedenSwedish Meteorological and Hydrological Institute (SMHI), 601 76 Norrköping, SwedenSwedish Meteorological and Hydrological Institute (SMHI), 601 76 Norrköping, SwedenEricsson Research, Ericsson AB, Lindholmspiren 11, 412 56 Gothenburg, Sweden<p>Accurate rainfall monitoring is critical for sustainable societies and yet challenging in many ways. Opportunistic monitoring using commercial microwave links (CMLs) in telecommunication networks is emerging as a powerful complement to conventional gauges and weather radar. However, CML data are often inaccessible or incomplete, which limits research and application. Here, we aim to reduce this barrier by openly sharing data at 10 <span class="inline-formula">s</span> resolution with true coordinates from a pilot study involving 364 bi-directional CMLs in Gothenburg, Sweden. To enable further comparative analyses, we also share high-resolution data from 11 precipitation gauges and the Swedish operational weather radar composite in the area. This article presents an overview of the data, including the collection approach, descriptive statistics, and a case study of a high-intensity event. The results show that the data collection was very successful, providing near-complete time series for the CMLs (99.99 %), gauges (100 %), and radar (99.6 %) in the study period (June–August 2015). The bandwidth consumed during CML data collection was small, and hence, the telecommunication traffic was not significantly affected by the collection. The gauge records indicate that total rainfall was approximately 260 <span class="inline-formula">mm</span> in the study period, with rainfall occurring in 6 % of each 15 <span class="inline-formula">min</span> interval. One of the most intense events was observed on 28 July 2015, during which the Torslanda gauge recorded a peak of 1.1 <span class="inline-formula">mm min<sup>−1</sup></span>. The variability in the CML data generally followed the gauge dynamics very well. Here we illustrate this for 28 July, where a nearby CML recorded a drop in received signal level of about 27 <span class="inline-formula">dB</span> at the time of the peak. The radar data showed a good distribution of reflectivities for mostly stratiform precipitation but also contained some values above 40 <span class="inline-formula">dBZ</span>, which is commonly seen as an approximate threshold for convective precipitation. Clutter was also found and was mostly prevalent around low reflectivities of <span class="inline-formula">−</span>15 <span class="inline-formula">dBZ</span>. The data are accessible at <a href="https://doi.org/10.5281/zenodo.7107689">https://doi.org/10.5281/zenodo.7107689</a> (Andersson et al., 2022). We believe this Open sharing of high-resolution data from Microwave links, Radar, and Gauges (OpenMRG) will facilitate research on microwave-based environmental monitoring using CMLs and support the development of multi-sensor merging algorithms.</p>https://essd.copernicus.org/articles/14/5411/2022/essd-14-5411-2022.pdf |
spellingShingle | J. C. M. Andersson J. Olsson R. (C. Z. ). van de Beek J. Hansryd OpenMRG: Open data from Microwave links, Radar, and Gauges for rainfall quantification in Gothenburg, Sweden Earth System Science Data |
title | OpenMRG: Open data from Microwave links, Radar, and Gauges for rainfall quantification in Gothenburg, Sweden |
title_full | OpenMRG: Open data from Microwave links, Radar, and Gauges for rainfall quantification in Gothenburg, Sweden |
title_fullStr | OpenMRG: Open data from Microwave links, Radar, and Gauges for rainfall quantification in Gothenburg, Sweden |
title_full_unstemmed | OpenMRG: Open data from Microwave links, Radar, and Gauges for rainfall quantification in Gothenburg, Sweden |
title_short | OpenMRG: Open data from Microwave links, Radar, and Gauges for rainfall quantification in Gothenburg, Sweden |
title_sort | openmrg open data from microwave links radar and gauges for rainfall quantification in gothenburg sweden |
url | https://essd.copernicus.org/articles/14/5411/2022/essd-14-5411-2022.pdf |
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