2018
DOI: 10.1029/2018gl078926
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High‐Frequency Intermittency in Observed and Model‐Simulated Precipitation

Abstract: A newly reprocessed, bias‐corrected version of hourly satellite observations that provides global coverage of precipitation at high space‐time resolution is evaluated and compared with climate model simulations. Irregular subdaily fluctuations are the dominant component around the world, greater than variance of daily mean precipitation, and much greater than variance associated with the mean diurnal cycle of precipitation. Irregular subdaily fluctuations of precipitation are severely underestimated by models,… Show more

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Cited by 17 publications
(42 citation statements)
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References 27 publications
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“…Another important characteristic of simulated precipitation that has received relatively little attention is precipitation intermittency (Covey et al., 2018; Trenberth et al., 2017). Using 3‐hourly data with four thresholds of precipitation event duration (0.5, 1, 4, and 50 mm day −1 ), we investigate the duration of precipitation events of different intensity over the tropics (Figure 2).…”
Section: Resultsmentioning
confidence: 99%
“…Another important characteristic of simulated precipitation that has received relatively little attention is precipitation intermittency (Covey et al., 2018; Trenberth et al., 2017). Using 3‐hourly data with four thresholds of precipitation event duration (0.5, 1, 4, and 50 mm day −1 ), we investigate the duration of precipitation events of different intensity over the tropics (Figure 2).…”
Section: Resultsmentioning
confidence: 99%
“…To the extent observations permit it, some aspects of sub-daily simulated precipitation have been evaluated including the diurnal cycle [ 15 ]. More recently, irregular sub-daily fluctuations about the mean diurnal cycle or ‘intermittency’ have been shown to be underestimated by models, even after taking into account the observational ‘error bars’ implied by different space–time resolutions [ 16 ].…”
Section: Introductionmentioning
confidence: 99%
“…As the fuzzy methodology has proven to be better suited (compared to deterministic methods) for comparisons involving such a highly variable parameter as precipitation, especially when it comes to extremes, it would be of particular interest to extend its application both for the space (toward global) and for the time scale (toward higher resolution). This would allow one to get a more complete picture on the useful scales of the global products (in different regions) and to judge the reliability of products (especially models) in representing fluctuations at subdaily time scales, which form the dominant component for the variance of precipitation around the world (Covey et al 2018).…”
Section: Discussionmentioning
confidence: 99%