Articles | Volume 25, issue 2
https://doi.org/10.5194/hess-25-583-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-583-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Feb 2021
Research article |
| 10 Feb 2021
| 10 Feb 2021
The use of personal weather station observations to improve precipitation estimation and interpolation
András Bárdossy
Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart, 70569 Stuttgart, Germany
Jochen Seidel
CORRESPONDING AUTHOR
Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart, 70569 Stuttgart, Germany
Abbas El Hachem
Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart, 70569 Stuttgart, Germany
Viewed
Total article views: 3,972 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Feb 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,775 | 1,113 | 84 | 3,972 | 111 | 85 |
- HTML: 2,775
- PDF: 1,113
- XML: 84
- Total: 3,972
- BibTeX: 111
- EndNote: 85
Total article views: 2,817 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Feb 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,114 | 640 | 63 | 2,817 | 80 | 50 |
- HTML: 2,114
- PDF: 640
- XML: 63
- Total: 2,817
- BibTeX: 80
- EndNote: 50
Total article views: 1,155 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Feb 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 661 | 473 | 21 | 1,155 | 31 | 35 |
- HTML: 661
- PDF: 473
- XML: 21
- Total: 1,155
- BibTeX: 31
- EndNote: 35
Viewed (geographical distribution)
Total article views: 3,972 (including HTML, PDF, and XML)
Thereof 3,462 with geography defined
and 510 with unknown origin.
Total article views: 2,817 (including HTML, PDF, and XML)
Thereof 2,623 with geography defined
and 194 with unknown origin.
Total article views: 1,155 (including HTML, PDF, and XML)
Thereof 839 with geography defined
and 316 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
24 citations as recorded by crossref.
- Urban Climate Informatics: An Emerging Research Field A. Middel et al. 10.3389/fenvs.2022.867434
- The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. 10.1080/02626667.2024.2385686
- Evaluation of factors affecting the quality of citizen science rainfall data in Akaki catchment, Addis Ababa, Ethiopia H. Tedla et al. 10.1016/j.jhydrol.2022.128284
- Threshold-based flood early warning in an urbanizing catchment through multi-source data integration: Satellite and citizen science contribution H. Tedla et al. 10.1016/j.jhydrol.2024.131076
- Technical note: A guide to using three open-source quality control algorithms for rainfall data from personal weather stations A. El Hachem et al. 10.5194/hess-28-4715-2024
- Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales M. Graf et al. 10.1016/j.ejrh.2021.100883
- An automatic quality evaluation procedure for third-party daily rainfall observations and its application over Australia M. Li et al. 10.1007/s00477-023-02401-8
- The Impact of a Lack of Government Strategies for Sustainable Water Management and Land Use Planning on the Hydrology of Water Bodies: Lessons Learned from the Disappearance of the Aculeo Lagoon in Central Chile R. Valdés-Pineda et al. 10.3390/su14010413
- Flood resilience through crowdsourced rainfall data collection: Growing engagement faces non-uniform spatial adoption A. Chen et al. 10.1016/j.jhydrol.2022.127724
- On the Importance of Data Quality Assessment of Crowdsourced Meteorological Data M. Vuckovic & J. Schmidt 10.3390/su15086941
- Exploring the relationship between flood insurance claims, crowdsourced rainfall, and tide levels for coastal urban communities: Case study for the mid-Atlantic United States A. Chen et al. 10.1016/j.jhydrol.2023.130123
- Merging with crowdsourced rain gauge data improves pan-European radar precipitation estimates A. Overeem et al. 10.5194/hess-28-649-2024
- Evaluation of Selected Amateur Rain Gauges with Hellmann Rain Gauge Measurements R. Droździoł & D. Absalon 10.3390/cli11050107
- Evaluation of WRF model rainfall forecast using citizen science in a data-scarce urban catchment: Addis Ababa, Ethiopia H. Tedla et al. 10.1016/j.ejrh.2022.101273
- Exploratory analysis of citizen observations of hourly precipitation over Scandinavia C. Lussana et al. 10.5194/asr-20-35-2023
- Data formats and standards for opportunistic rainfall sensors M. Fencl et al. 10.12688/openreseurope.16068.1
- Merging weather radar data and opportunistic rainfall sensor data to enhance rainfall estimates J. Nielsen et al. 10.1016/j.atmosres.2024.107228
- Why do our rainfall–runoff models keep underestimating the peak flows? A. Bárdossy & F. Anwar 10.5194/hess-27-1987-2023
- Data formats and standards for opportunistic rainfall sensors M. Fencl et al. 10.12688/openreseurope.16068.2
- Automatic quality control of telemetric rain gauge data providing quantitative quality information (RainGaugeQC) K. Ośródka et al. 10.5194/amt-15-5581-2022
- CrowdQC+—A Quality-Control for Crowdsourced Air-Temperature Observations Enabling World-Wide Urban Climate Applications D. Fenner et al. 10.3389/fenvs.2021.720747
- Filling observational gaps with crowdsourced citizen science rainfall data from the Met Office Weather Observation Website T. O'Hara et al. 10.2166/nh.2023.136
- Spatial Rainfall Variability in Urban Environments—High-Density Precipitation Measurements on a City-Scale R. Maier et al. 10.3390/w12041157
- The Potential of a Smartphone as an Urban Weather Station—An Exploratory Analysis A. Cabrera et al. 10.3389/fenvs.2021.673937
22 citations as recorded by crossref.
- Urban Climate Informatics: An Emerging Research Field A. Middel et al. 10.3389/fenvs.2022.867434
- The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. 10.1080/02626667.2024.2385686
- Evaluation of factors affecting the quality of citizen science rainfall data in Akaki catchment, Addis Ababa, Ethiopia H. Tedla et al. 10.1016/j.jhydrol.2022.128284
- Threshold-based flood early warning in an urbanizing catchment through multi-source data integration: Satellite and citizen science contribution H. Tedla et al. 10.1016/j.jhydrol.2024.131076
- Technical note: A guide to using three open-source quality control algorithms for rainfall data from personal weather stations A. El Hachem et al. 10.5194/hess-28-4715-2024
- Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales M. Graf et al. 10.1016/j.ejrh.2021.100883
- An automatic quality evaluation procedure for third-party daily rainfall observations and its application over Australia M. Li et al. 10.1007/s00477-023-02401-8
- The Impact of a Lack of Government Strategies for Sustainable Water Management and Land Use Planning on the Hydrology of Water Bodies: Lessons Learned from the Disappearance of the Aculeo Lagoon in Central Chile R. Valdés-Pineda et al. 10.3390/su14010413
- Flood resilience through crowdsourced rainfall data collection: Growing engagement faces non-uniform spatial adoption A. Chen et al. 10.1016/j.jhydrol.2022.127724
- On the Importance of Data Quality Assessment of Crowdsourced Meteorological Data M. Vuckovic & J. Schmidt 10.3390/su15086941
- Exploring the relationship between flood insurance claims, crowdsourced rainfall, and tide levels for coastal urban communities: Case study for the mid-Atlantic United States A. Chen et al. 10.1016/j.jhydrol.2023.130123
- Merging with crowdsourced rain gauge data improves pan-European radar precipitation estimates A. Overeem et al. 10.5194/hess-28-649-2024
- Evaluation of Selected Amateur Rain Gauges with Hellmann Rain Gauge Measurements R. Droździoł & D. Absalon 10.3390/cli11050107
- Evaluation of WRF model rainfall forecast using citizen science in a data-scarce urban catchment: Addis Ababa, Ethiopia H. Tedla et al. 10.1016/j.ejrh.2022.101273
- Exploratory analysis of citizen observations of hourly precipitation over Scandinavia C. Lussana et al. 10.5194/asr-20-35-2023
- Data formats and standards for opportunistic rainfall sensors M. Fencl et al. 10.12688/openreseurope.16068.1
- Merging weather radar data and opportunistic rainfall sensor data to enhance rainfall estimates J. Nielsen et al. 10.1016/j.atmosres.2024.107228
- Why do our rainfall–runoff models keep underestimating the peak flows? A. Bárdossy & F. Anwar 10.5194/hess-27-1987-2023
- Data formats and standards for opportunistic rainfall sensors M. Fencl et al. 10.12688/openreseurope.16068.2
- Automatic quality control of telemetric rain gauge data providing quantitative quality information (RainGaugeQC) K. Ośródka et al. 10.5194/amt-15-5581-2022
- CrowdQC+—A Quality-Control for Crowdsourced Air-Temperature Observations Enabling World-Wide Urban Climate Applications D. Fenner et al. 10.3389/fenvs.2021.720747
- Filling observational gaps with crowdsourced citizen science rainfall data from the Met Office Weather Observation Website T. O'Hara et al. 10.2166/nh.2023.136
2 citations as recorded by crossref.
Latest update: 20 Nov 2024
Short summary
In this study, the applicability of data from private weather stations (PWS) for precipitation interpolation was investigated. Due to unknown errors and biases in these observations, a two-step filter was developed that uses indicator correlations and event-based spatial precipitation patterns. The procedure was tested and cross validated for the state of Baden-Württemberg (Germany). The biggest improvement is achieved for the shortest time aggregations.
In this study, the applicability of data from private weather stations (PWS) for precipitation...
