Articles | Volume 13, issue 2
https://doi.org/10.5194/esd-13-993-2022
© 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/esd-13-993-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Jun 2022
Research article |
| 14 Jun 2022
| 14 Jun 2022
A methodology for the spatiotemporal identification of compound hazards: wind and precipitation extremes in Great Britain (1979–2019)
Department of Geography, King's College London, London WC2B 4BG,
United Kingdom
European Commission, Joint Research Centre, Ispra, Italy
Bruce D. Malamud
Department of Geography, King's College London, London WC2B 4BG,
United Kingdom
Amélie Joly-Laugel
EDF Energy R & D UK Centre, Croydon CR0 2AJ, United Kingdom
Viewed
Total article views: 6,724 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Jul 2021)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 5,041 | 1,524 | 159 | 6,724 | 242 | 167 | 215 |
- HTML: 5,041
- PDF: 1,524
- XML: 159
- Total: 6,724
- Supplement: 242
- BibTeX: 167
- EndNote: 215
Total article views: 5,431 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Jun 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 4,209 | 1,093 | 129 | 5,431 | 140 | 144 | 191 |
- HTML: 4,209
- PDF: 1,093
- XML: 129
- Total: 5,431
- Supplement: 140
- BibTeX: 144
- EndNote: 191
Total article views: 1,293 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Jul 2021)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 832 | 431 | 30 | 1,293 | 102 | 23 | 24 |
- HTML: 832
- PDF: 431
- XML: 30
- Total: 1,293
- Supplement: 102
- BibTeX: 23
- EndNote: 24
Viewed (geographical distribution)
Total article views: 6,724 (including HTML, PDF, and XML)
Thereof 6,480 with geography defined
and 244 with unknown origin.
Total article views: 5,431 (including HTML, PDF, and XML)
Thereof 5,254 with geography defined
and 177 with unknown origin.
Total article views: 1,293 (including HTML, PDF, and XML)
Thereof 1,226 with geography defined
and 67 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
21 citations as recorded by crossref.
- Projection of gust wind over China under RCP8.5 scenario within CORDEX‐EA‐II project G. Liu et al.
- HERA: a high-resolution pan-European hydrological reanalysis (1951–2020) A. Tilloy et al.
- Classification and contribution of compound rainstorm and heatwave hazards in southern China J. Zhang et al.
- Concurrent and dynamical interdependency of compound precipitation and wind speed extremes over India V. Reddy & L. Ray
- Comparison and evaluation of the performance of reanalysis datasets for compound extreme temperature and precipitation events in the Qilian Mountains Y. Wang et al.
- Climatology and trends of concurrent temperature extremes in the global extratropics G. Messori et al.
- Compound wind and rainfall extremes: Drivers and future changes over the UK and Ireland C. Manning et al.
- How compound wind and precipitation extremes change over Southeast Asia: A comprehensive assessment from CMIP6 models Y. Jiang et al.
- Between global risk reduction goals, scientific–technical capabilities and local realities: a modular approach for user-centric multi-risk assessment E. Schoepfer et al.
- Compound Precipitation and Wind Extremes in the Eastern Part of the Baltic Sea Region L. Klimavičius et al.
- Identification and quantification of compound extreme climatic events considering spatial–temporal proximity effect Z. Zhao et al.
- Countries most exposed to individual and concurrent extremes and near-permanent extreme conditions at different global warming levels F. Batibeniz et al.
- Streamflow drought onset and severity explained by non‐linear responses between climate‐catchment and land surface processes A. Raut et al.
- A framework for multivariate analysis of compound extremes based on correlated hydrologic time series S. Subhadarsini et al.
- A Framework for Transitions in the Built Environment: Insights from Compound Hazards in the COVID-19 Era D. Mendonça et al.
- A four‐dimensional nonlinear dynamical model for an integrated early warning system of rapid‐onset meteorological hazards H. Tatli
- Uncovering the Dynamics of Multi‐Sector Impacts of Hydrological Extremes: A Methods Overview M. de Brito et al.
- Multi-Hazard Assessment of Storm Surge Events Using the System Energy Equivalence Model X. Xie et al.
- CETD, a global compound events detection and visualisation toolbox and dataset C. Yin et al.
- Dependence of daily precipitation and wind speed over coastal areas: evidence from China's coastline X. Qi et al.
- Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al.
21 citations as recorded by crossref.
- Projection of gust wind over China under RCP8.5 scenario within CORDEX‐EA‐II project G. Liu et al.
- HERA: a high-resolution pan-European hydrological reanalysis (1951–2020) A. Tilloy et al.
- Classification and contribution of compound rainstorm and heatwave hazards in southern China J. Zhang et al.
- Concurrent and dynamical interdependency of compound precipitation and wind speed extremes over India V. Reddy & L. Ray
- Comparison and evaluation of the performance of reanalysis datasets for compound extreme temperature and precipitation events in the Qilian Mountains Y. Wang et al.
- Climatology and trends of concurrent temperature extremes in the global extratropics G. Messori et al.
- Compound wind and rainfall extremes: Drivers and future changes over the UK and Ireland C. Manning et al.
- How compound wind and precipitation extremes change over Southeast Asia: A comprehensive assessment from CMIP6 models Y. Jiang et al.
- Between global risk reduction goals, scientific–technical capabilities and local realities: a modular approach for user-centric multi-risk assessment E. Schoepfer et al.
- Compound Precipitation and Wind Extremes in the Eastern Part of the Baltic Sea Region L. Klimavičius et al.
- Identification and quantification of compound extreme climatic events considering spatial–temporal proximity effect Z. Zhao et al.
- Countries most exposed to individual and concurrent extremes and near-permanent extreme conditions at different global warming levels F. Batibeniz et al.
- Streamflow drought onset and severity explained by non‐linear responses between climate‐catchment and land surface processes A. Raut et al.
- A framework for multivariate analysis of compound extremes based on correlated hydrologic time series S. Subhadarsini et al.
- A Framework for Transitions in the Built Environment: Insights from Compound Hazards in the COVID-19 Era D. Mendonça et al.
- A four‐dimensional nonlinear dynamical model for an integrated early warning system of rapid‐onset meteorological hazards H. Tatli
- Uncovering the Dynamics of Multi‐Sector Impacts of Hydrological Extremes: A Methods Overview M. de Brito et al.
- Multi-Hazard Assessment of Storm Surge Events Using the System Energy Equivalence Model X. Xie et al.
- CETD, a global compound events detection and visualisation toolbox and dataset C. Yin et al.
- Dependence of daily precipitation and wind speed over coastal areas: evidence from China's coastline X. Qi et al.
- Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al.
Saved (final revised paper)
Latest update: 14 May 2026
Short summary
Compound hazards occur when two different natural hazards impact the same time period and spatial area. This article presents a methodology for the spatiotemporal identification of compound hazards (SI–CH). The methodology is applied to compound precipitation and wind extremes in Great Britain for the period 1979–2019. The study finds that the SI–CH approach can accurately identify single and compound hazard events and represent their spatial and temporal properties.
Compound hazards occur when two different natural hazards impact the same time period and...
Altmetrics
Final-revised paper
Preprint