Observed data for publication "More frequent temporally clustered extreme precipitation events in a warming world"
Creators
- Du, Haibo1
- Donat, Markus G.2
- Zong, Shengwei1
- Alexander, Lisa V.3
- Manzanas, Rodrigo4
- Kruger, Andries5
- Choi, Gwangyong6
- Salinger, Jim7
- He, Hong S.1
- Li, Mai-He8
- Fujibe, Fumiaki9
- Nandintsetseg, Banzragch10
- Rehman, Shafiqur11
- Abbas, Farhat12
- Rusticucci, Matilde13
- Srivastava, Arvind14
- Zhai, Panmao15
- Lippmann, Tanya16
- Yabi, Ibouraïma17
- Stambaugh, Michael C.18
- Wang, Shengzhong1
- Batbold, Altangerel19
- de Oliveira, Priscilla T.20
- Adrees, Muhammad12
- Hou, Wei15
- Santos e Silva, Claudio M.21
- Lucio, Paulo S.21
- Wu, Zhengfang1
- 1. Northeast Normal University
- 2. Barcelona Supercomputing Center
- 3. UNSW Sydney
- 4. Universidad de Cantabria
- 5. South African Weather Service
- 6. Jeju National University
- 7. University of Tasmania
- 8. Swiss Federal Institute for Forest, Snow and Landscape Research
- 9. Tokyo Metropolitan University
- 10. National University of Mongolia
- 11. King Fahd University of Petroleum and Minerals
- 12. Government College University
- 13. University of Buenos Aires
- 14. India Meteorological Department
- 15. China Meteorological Administration
- 16. VU University Amsterdam
- 17. Université d'Abomey-Calavi
- 18. University of Missouri
- 19. Information and Research Institute of Meteorology, Hydrology and Environment
- 20. Sao Paulo State University
- 21. Federal University of Rio Grande do Norte
Description
Changes in precipitation, and in particular heavy precipitation extremes, have wide-ranging implications for society particularly in a changing climate. However, the impacts of these changes can be sensitive to how precipitation accumulates over time and, for example, large-scale disastrous flooding is often associated with extreme precipitation persisting over several days. Little is known about how the temporal sequencing of precipitation is expected to change under global warming. This lack of knowledge is alarming given the link between multi-day extreme precipitation and flooding catastrophes. We address this gap, and focus on a previously neglected aspect of precipitation, by studying changes in temporally clustered extreme precipitation (that is, extreme precipitation occurring on consecutive days), based on a unique quasi-global database of observational records (6006 high-quality stations with long-term daily precipitation during 1961-2010) and climate model simulations. We now share the calculated seasonal/annual indices of precipitation so that our results can be easily be verified with these opened observational data. The specific definition and calculation of these indices could be found in the paper. Researchers who use these data are required to cite our paper.
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