2011
DOI: 10.1002/joc.2407
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Tracking mesoscale convective systems in the Sahel: relation between cloud parameters and precipitation

Abstract: Although mesoscale convective systems (MCSs) are the main source of precipitation in the semi-arid Sahel region, the relationship between MCS characteristics and their generated precipitation remain unclear. However, a thorough understanding of this relation is essential to work towards a classification scheme for MCSs and eventually to improve quantitative precipitation estimates in which cloud parameters are used as proxy variables for the total or maximum intense rainfall from a system. Accordingly, this st… Show more

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Cited by 46 publications
(50 citation statements)
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“…MCS are identified assuming that strong convective activity is related to low brightness temperatures, using an algorithm developed by Schröder et al (2009) and applied over the Lake Chad region by Goyens et al (2011). A single system is defined as a contiguous area of pixels with a brightness temperature below 233 K exceeding 30 000 km 2 .…”
Section: Comparison With Observationsmentioning
confidence: 99%
“…MCS are identified assuming that strong convective activity is related to low brightness temperatures, using an algorithm developed by Schröder et al (2009) and applied over the Lake Chad region by Goyens et al (2011). A single system is defined as a contiguous area of pixels with a brightness temperature below 233 K exceeding 30 000 km 2 .…”
Section: Comparison With Observationsmentioning
confidence: 99%
“…Laurent et al [10] and Mathon et al [11] found that cloud life duration and propagation speed are positively related to the induced precipitation. Goyens et al [12] analyzed the relationship between five cloud parameters (the average propagation speed (Vav), the cloud area at maximum extent (Amax), the life duration (LD), the minimum in BT when averaged over the very cold convective core (BTmin), the time during which the system shows a very cold convective core (LDcc)) and three precipitation variables (3-hourly precipitation averaged over the 10 most rainy pixels (Pmax), averaged over entire cloud cover (Pav), summed over entire cloud cover (Ptot)) in the Sahel based on tracking mesoscale convective systems (MCSs). Vondou et al [13] investigated the lifecycles of cumulus clouds with cloud-resolving model simulations and found a considerable increase across the composite lifecycles.…”
Section: Introductionmentioning
confidence: 99%
“…In contrast, the maximum is depicted in the noon over ocean. Our analysis suggests intense rains in continental regions in the afternoon, knowing the very tight correlation between HLC and precipitation [1,12,16,28,45]. Figures 8 and 9 show that diurnal phase displays a distinct local shifting within each region.…”
Section: Regional Distributionsmentioning
confidence: 61%
“…The analysis focused on these thresholds in view of a better modeling of events potentially dangerous for agriculture, health and flash floods. The threshold temperature 233 K has been widely used for identifying convection associated likely to precipitating systems [12,27,28]. The convection index used in this work is cloud fraction (CF), also known as the cloud frequency index.…”
Section: Determination Of the Convection Indexmentioning
confidence: 99%