Articles | Volume 14, issue 7
https://doi.org/10.5194/essd-14-3249-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-3249-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
15 Jul 2022
Data description paper |
| 15 Jul 2022
| 15 Jul 2022
EMO-5: a high-resolution multi-variable gridded meteorological dataset for Europe
Vera Thiemig
Joint Research Centre, European Commission, Ispra, 21027, Italy
Goncalo N. Gomes
Joint Research Centre, European Commission, Ispra, 21027, Italy
Jon O. Skøien
Joint Research Centre, European Commission, Ispra, 21027, Italy
Markus Ziese
Global Precipitation Climatology Centre, Deutscher Wetterdienst,
Offenbach, 63067, Germany
Armin Rauthe-Schöch
Global Precipitation Climatology Centre, Deutscher Wetterdienst,
Offenbach, 63067, Germany
Elke Rustemeier
Global Precipitation Climatology Centre, Deutscher Wetterdienst,
Offenbach, 63067, Germany
Kira Rehfeldt
Global Precipitation Climatology Centre, Deutscher Wetterdienst,
Offenbach, 63067, Germany
Jakub P. Walawender
Global Precipitation Climatology Centre, Deutscher Wetterdienst,
Offenbach, 63067, Germany
Faculty of Geography, Philipps University of Marburg, Marburg, 35032,
Germany
Christine Kolbe
Global Precipitation Climatology Centre, Deutscher Wetterdienst,
Offenbach, 63067, Germany
Faculty of Geography, Philipps University of Marburg, Marburg, 35032,
Germany
Damien Pichon
Kisters France SAS, Rueil-Malmaison, 92500, France
Christoph Schweim
Kisters AG, Aachen, 52076, Germany
Joint Research Centre, European Commission, Ispra, 21027, Italy
Viewed
Total article views: 4,300 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Nov 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,021 | 1,182 | 97 | 4,300 | 68 | 75 |
- HTML: 3,021
- PDF: 1,182
- XML: 97
- Total: 4,300
- BibTeX: 68
- EndNote: 75
Total article views: 3,061 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Jul 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,167 | 826 | 68 | 3,061 | 57 | 61 |
- HTML: 2,167
- PDF: 826
- XML: 68
- Total: 3,061
- BibTeX: 57
- EndNote: 61
Total article views: 1,239 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Nov 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 854 | 356 | 29 | 1,239 | 11 | 14 |
- HTML: 854
- PDF: 356
- XML: 29
- Total: 1,239
- BibTeX: 11
- EndNote: 14
Viewed (geographical distribution)
Total article views: 4,300 (including HTML, PDF, and XML)
Thereof 4,059 with geography defined
and 241 with unknown origin.
Total article views: 3,061 (including HTML, PDF, and XML)
Thereof 2,886 with geography defined
and 175 with unknown origin.
Total article views: 1,239 (including HTML, PDF, and XML)
Thereof 1,173 with geography defined
and 66 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
12 citations as recorded by crossref.
- Global hydrological reanalyses: The value of river discharge information for world‐wide downstream applications – The example of the Global Flood Awareness System GloFAS C. Prudhomme et al. 10.1002/met.2192
- Extreme rainfall erosivity: Research advances and future perspectives Y. Zhao et al. 10.1016/j.scitotenv.2024.170425
- Extension and trend of the London urban heat island under Lamb weather types I. Pérez et al. 10.1016/j.scs.2024.105743
- Coupling Different Machine Learning and Meta-Heuristic Optimization Techniques to Generate the Snow Avalanche Susceptibility Map in the French Alps E. Kayhan & Ö. Ekmekcioğlu 10.3390/w16223247
- Exploring the joint probability of precipitation and soil moisture over Europe using copulas C. Cammalleri et al. 10.5194/hess-28-103-2024
- BULL Database – Spanish Basin attributes for Unravelling Learning in Large-sample hydrology J. Senent-Aparicio et al. 10.1038/s41597-024-03594-5
- Merging modelled and reported flood impacts in Europe in a combined flood event catalogue for 1950–2020 D. Paprotny et al. 10.5194/hess-28-3983-2024
- Leveraging observations and model reanalyses to support regional climate change adaptation activities: An integrated assessment for the Marche Region (Central Italy) A. Crespi et al. 10.1016/j.cliser.2024.100512
- The added value of km-scale simulations to describe temperature over complex orography: the CORDEX FPS-Convection multi-model ensemble runs over the Alps P. Soares et al. 10.1007/s00382-022-06593-7
- Multi-model hydrological reference dataset over continental Europe and an African basin B. Droppers et al. 10.1038/s41597-024-03825-9
- EMO-5: a high-resolution multi-variable gridded meteorological dataset for Europe V. Thiemig et al. 10.5194/essd-14-3249-2022
- Evaluation of national and international gridded meteorological products for rainfall-runoff modelling in Northern Italy G. Sarigil et al. 10.1016/j.ejrh.2024.102031
10 citations as recorded by crossref.
- Global hydrological reanalyses: The value of river discharge information for world‐wide downstream applications – The example of the Global Flood Awareness System GloFAS C. Prudhomme et al. 10.1002/met.2192
- Extreme rainfall erosivity: Research advances and future perspectives Y. Zhao et al. 10.1016/j.scitotenv.2024.170425
- Extension and trend of the London urban heat island under Lamb weather types I. Pérez et al. 10.1016/j.scs.2024.105743
- Coupling Different Machine Learning and Meta-Heuristic Optimization Techniques to Generate the Snow Avalanche Susceptibility Map in the French Alps E. Kayhan & Ö. Ekmekcioğlu 10.3390/w16223247
- Exploring the joint probability of precipitation and soil moisture over Europe using copulas C. Cammalleri et al. 10.5194/hess-28-103-2024
- BULL Database – Spanish Basin attributes for Unravelling Learning in Large-sample hydrology J. Senent-Aparicio et al. 10.1038/s41597-024-03594-5
- Merging modelled and reported flood impacts in Europe in a combined flood event catalogue for 1950–2020 D. Paprotny et al. 10.5194/hess-28-3983-2024
- Leveraging observations and model reanalyses to support regional climate change adaptation activities: An integrated assessment for the Marche Region (Central Italy) A. Crespi et al. 10.1016/j.cliser.2024.100512
- The added value of km-scale simulations to describe temperature over complex orography: the CORDEX FPS-Convection multi-model ensemble runs over the Alps P. Soares et al. 10.1007/s00382-022-06593-7
- Multi-model hydrological reference dataset over continental Europe and an African basin B. Droppers et al. 10.1038/s41597-024-03825-9
2 citations as recorded by crossref.
Latest update: 20 Nov 2024
Short summary
EMO-5 is a free and open European high-resolution (5 km), sub-daily, multi-variable (precipitation, temperatures, wind speed, solar radiation, vapour pressure), multi-decadal meteorological dataset based on quality-controlled observations coming from almost 30 000 stations across Europe, and is produced in near real-time. EMO-5 (v1) covers the time period from 1990 to 2019. In this paper, we have provided insight into the source data, the applied methods, and the quality assessment of EMO-5.
EMO-5 is a free and open European high-resolution (5 km), sub-daily, multi-variable...
Altmetrics
Final-revised paper
Preprint