Abstract
Global precipitation patterns lead to differences in seasonal distributions of rainfall between locations in the form of alternating dry and wet seasons. Many locations experience a single wet and dry season per year, but some studies report the occurrence of two wet and dry seasons per year. This bimodal rainfall pattern is commonly associated with locations within the tropics but is reported outside the tropics as well. However, this information is fragmented, and studies of bimodality are mainly restricted to monthly rainfall totals. Here, we use a gridded global data set and simple harmonic analysis to provide a systematic overview of global bimodal rainfall and rain-day frequency. We find good agreement between the various regional studies concerning bimodal precipitation and our global overview, showing that bimodal rainfall occurs on approximately 7% of the global land surface. In the tropics, regions of bimodal rainfall totals (P) and regions of bimodal rain-day frequency (N) tend to overlap due to the presence of dry seasons that have zero precipitation. Outside the tropics, P and N are more independent, which leads to complex within-year patterns of precipitation intensity. A secondary outcome of our results is an improved low-dimensional global parameterization of monthly rainfall regimes. Our results provide the first gridded global overview of bimodal rainfall patterns and show the usefulness of simple mathematical approaches for detecting patterns in large data sets.
Original language | English |
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Pages (from-to) | 558-567 |
Number of pages | 10 |
Journal | International Journal of Climatology |
Volume | 39 |
Issue number | 1 |
Early online date | 19 Aug 2018 |
DOIs | |
Publication status | Published - Jan 2019 |
Research Groups and Themes
- Water and Environmental Engineering
Keywords
- Rainfall
- bimodal seasonality
- analytical framework
- global climate
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Dive into the research topics of 'Global bimodal precipitation seasonality: a systematic overview'. Together they form a unique fingerprint.Student theses
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Investigating conceptual model structure uncertainty: Progress in large-sample comparative hydrology
Knoben, W. (Author), Freer, J. (Supervisor) & Woods, R. (Supervisor), 26 Jun 2019Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
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Data from paper "Global bimodal precipitation seasonality: A systematic overview"
Knoben, W. (Creator), Woods, R. A. (Contributor) & Freer, J. (Contributor), University of Bristol, 12 Jul 2018
DOI: 10.5523/bris.2ynd0zj7oqd1t24t6vhhh83exn, http://data.bris.ac.uk/data/dataset/2ynd0zj7oqd1t24t6vhhh83exn
Dataset