2018
DOI: 10.1029/2018gl077319
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Effect of Reduced Summer Cloud Shading on Evaporative Demand and Wildfire in Coastal Southern California

Abstract: Cloud shading limits surface radiation, thus reducing vegetation water stress and, presumably, flammability. Since the early 1970s, cloud observations from airfields in coastal Southern California (CSCA) indicate reductions of ~25–50% in warm‐season frequency of daytime stratus clouds at many sites, including fire‐prone wildland‐urban interface zones. We use 10 years of meteorological, surface radiation, and cloud observations to statistically model the effects of clouds on warm‐season surface energy fluxes in… Show more

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Cited by 26 publications
(28 citation statements)
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“…The Santa Monica Mountains and greater Simi Valley experienced the most repeat fire driven by Santa Ana winds, and had little evidence of non-katabatic large fire growth, consistent with prior assessments of high fire danger during Santa Ana conditions [26,27]. As there is a high rate of fire ignitions in the study area due to high human population density [5], this may suggest that fires occurring under non-katabatic conditions are easily suppressed, due to factors such as relatively high fuel moisture associated with the marine layer [28]. Additionally, the spatial dichotomy of these fire regimes is likely also a byproduct of the seasonality of extreme fire danger, defined by days where the Burning Index calculated using the US National Fire Danger Rating System and a gridded surface meteorological dataset [29] from 1979-2017 exceeds the 95th percentile.…”
Section: Fire Frequency and Patternsupporting
confidence: 67%
“…The Santa Monica Mountains and greater Simi Valley experienced the most repeat fire driven by Santa Ana winds, and had little evidence of non-katabatic large fire growth, consistent with prior assessments of high fire danger during Santa Ana conditions [26,27]. As there is a high rate of fire ignitions in the study area due to high human population density [5], this may suggest that fires occurring under non-katabatic conditions are easily suppressed, due to factors such as relatively high fuel moisture associated with the marine layer [28]. Additionally, the spatial dichotomy of these fire regimes is likely also a byproduct of the seasonality of extreme fire danger, defined by days where the Burning Index calculated using the US National Fire Danger Rating System and a gridded surface meteorological dataset [29] from 1979-2017 exceeds the 95th percentile.…”
Section: Fire Frequency and Patternsupporting
confidence: 67%
“…In summer, when fires are most frequent in California, large burned areas are promoted by the cumulative drying effects of atmospheric aridity and precipitation deficits mainly in forest ecosystems where fuel availability is not a limiting factor (Abatzoglou & Kolden, 2013;Jin et al, 2014;Keeley & Syphard, 2016;Swetnam, 1993;Swetnam & Betancourt, 1998;Westerling et al, 2003;Williams et al, 2018). In summer, when fires are most frequent in California, large burned areas are promoted by the cumulative drying effects of atmospheric aridity and precipitation deficits mainly in forest ecosystems where fuel availability is not a limiting factor (Abatzoglou & Kolden, 2013;Jin et al, 2014;Keeley & Syphard, 2016;Swetnam, 1993;Swetnam & Betancourt, 1998;Westerling et al, 2003;Williams et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…A wide range of processes can potentially alter observed anomalies during any individual event, and therefore, these episodes do not provide a definitive basis for attributing changes in the strength of ENSO or its teleconnections, a challenge that relates to both the evaluation of events in nature (e.g., Seager et al, ; Yeh et al, ) and models (Deser et al, ; Guilyardi et al, ). They do, however, raise questions regarding the role a warming climate may have had on both these and even more recent ENSO‐related extremes in California (Swain et al, ; Williams et al, , ; Yoon, Wang, Gillies, Hipps, et al, ) and other regions (Herrera & Ault, ; Wang, Huang, et al, ; Williams et al, ).…”
Section: Introductionmentioning
confidence: 99%