Increased Occurrence of Record‐Wet and Record‐Dry Months Reflect Changes in Mean Rainfall
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Abstract Climate change alters the hydrological cycle, which is expected to increase the risk of heavy rainfall events and prolonged droughts. Sparse rainfall data, however, have made it difficult to answer the question of whether robust changes can already be seen in the short observational time period. Here we use a comprehensive statistical tool to quantify changes in record‐breaking wet and dry months. The global‐mean number of record‐wet months has significantly increased over the recent decades and is now nearly 20% higher than would be expected in a stationary climate with no long‐term trends. This signal primarily comes from pronounced changes in the northern middle to high latitudes where the occurrence of record‐wet months has increased by up to 37% regionally. The tropics have seen opposing trends: More record‐wet months in Southeast Asia in contrast to more record‐dry months in Africa. These changes are broadly consistent with observed trends in mean rainfall.
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An increasing literature shows how short-term events, such as storms, and medium-term events, such as droughts, are linked to anthropogenic climate change and can also be used for estimation of longer-term climatic impacts.
“Yet, an increasing literature shows how short-term events, such as storms, and medium-term events, such as droughts, are linked to anthropogenic climate change (Lehmann et al., 2018;Otto, 2017;Stott et al., 2016) and can also be used for the estimation of longer-term climatic impacts (Hsiang, 2016).”
From Improving the evidence base: A methodological review of the quantitative climate migration literature (2021) · cites this paper as Lehmann et al., 2018
The indexed Abstract (page unavailable) says climate change is expected to increase the risk of heavy rainfall and prolonged droughts, and reports an observed increase in record-wet months. It does not specifically discuss storms or establish that the observed events are attributable to anthropogenic climate change. The separate claim about estimating longer-term impacts is cited to Hsiang, not Lehmann et al. (LLM, conf=0.84)
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- Authors
- Lehmann, J., Mempel, F., & Coumou, D.
- Affiliations
- Potsdam Institute for Climate Impact Research (DE)
- Universitat Autònoma de Barcelona (ES)
- Corresponding author
- Lehmann, J.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2018-12-21
- Volume
- 45
- Issue
- 24
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2904008152
- Cited by
- 51
- References
- 53
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 6 · 2023: 9 · 2022: 13 · 2021: 6 · 2020: 6 · 2019: 6
- FWCI
- 2.63
- Type
- journal article
- Language
- en
- Open access
- green
- research.vu.nl
- Licence
- Locations
- Geophysical Research Letters (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Deutsche Forschungsgemeinschaft (CO994/2‐1)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Environmental Science › Global and Planetary Change › Hydrology and Drought Analysis
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Keywords
- extreme rainfall, drought, climate change, water cycle, high northern latitudes, tropics, Southeast Asia, Africa, stationarity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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