2017
DOI: 10.1155/2017/8430743
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The Effect of the Dry Line and Convective Initiation on Drought Evolution over Oklahoma during the 2011 Drought

Abstract: Observations from the Oklahoma Mesonet and high resolution Weather Research and Forecasting model simulations were used to evaluate the effect that the dry line and large-scale atmospheric patterns had on drought evolution during 2011. Mesonet observations showed that a "dry" and "wet" pattern developed across Oklahoma due to anomalous atmospheric patterns. The location of the dry line varied due to this "dry" and "wet" pattern, with the average dry line location around 1.5∘ longitude further to the east than … Show more

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Cited by 7 publications
(5 citation statements)
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“…Historically, automatic detection algorithms have been challenged by our limited computational capabilities and ability to simulate mesoscale processes over climate time scales, and the relatively coarse spatial density of surface moisture gradient observations to validate simulations. Automatic algorithms can also be used to identify how a warmer climate might alter dryline characteristics and other processes such as changes in soil moisture (Flanagan et al 2017;Johnson and Hitchens 2018), highlighting the need for more research in this direction.…”
Section: Introductionmentioning
confidence: 99%
“…Historically, automatic detection algorithms have been challenged by our limited computational capabilities and ability to simulate mesoscale processes over climate time scales, and the relatively coarse spatial density of surface moisture gradient observations to validate simulations. Automatic algorithms can also be used to identify how a warmer climate might alter dryline characteristics and other processes such as changes in soil moisture (Flanagan et al 2017;Johnson and Hitchens 2018), highlighting the need for more research in this direction.…”
Section: Introductionmentioning
confidence: 99%
“…For FWI, the median FWI value was used as the dividing point to separate AETs as having wet or dry soil. This FWI dividing value of (0.85) is useful in this analysis as a majority of the vegetation in Oklahoma is known to flourish when FWI is above 0.8 (Flanagan et al 2017). For wind speed, very slow (,2 m s 21 ), slow (2-5 m s 21 ), and fast (.5 m s 21 ) categories were used.…”
Section: B Environmental Controls On the Presunset Q Y Maximummentioning
confidence: 99%
“…Drought is the primary cause of stress in forest ecosystems under climate change and may increase tree mortality under climatic warming [6]. In 2011, an intense drought impacted several regions around the world, causing a reduction in forest carbon sequestration [9]. Drought during the early growth season has long-lasting effects on photosynthesis and ecosystem carbon balance in plantations [3].…”
Section: Introductionmentioning
confidence: 99%