Expansion of the northern hemisphere subtropical high pressure belt: trends and linkages to precipitation and drought

Svoma, Bohumil M.; Krahenbuhl, Daniel; Bush, Chad E.; Malloy, Jonny W.; White, Joshua R.; Wagner, Melissa; Pace, Matthew B.; DeBiasse, Kimberly; Selover, Nancy; Balling, Robert C.; Cerveny, Randall S.

doi:10.1080/02723646.2013.820657

Cited by 5 publications

(5 citation statements)

References 32 publications

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“…In terms of mean duration of WLs in our NARR domain, PCA region III not only has the most frequent WLs but also demonstrates the longest WLs, averaging 1.76 months per occurrence. Similar to the potential cause of frequent WLs discussed previously, the longer-duration WLs for the southeastern United States are likely influenced by the increasing presence of the Bermuda-Azores subtropical high in the area (e.g., Svoma et al 2013).…”

Section: B Mean Duration Of Wind Lulls and Wind Blowsmentioning

confidence: 92%

“…In comparison with the other seven centroid time series, region III does demonstrate a higher frequency of monthly wind speeds below the WL threshold (74 months), which is likely in part linked to the seasonal influence of the subtropical high. Recent studies (e.g., Li et al 2010;Svoma et al 2013) have demonstrated an expansion of the subtropical high pressure belt. Such an expansion could account for a greater predominance of WL events in and around the southeastern United States.…”

Section: A Frequencies Of Wind Lulls and Wind Blowsmentioning

confidence: 99%

“…For example, in meteorological studies, ''drought'' has been defined as ''a period of abnormally dry weather sufficiently long enough to cause a serious hydrological imbalance'' (Glickman 2000, p. 238). While investigation of such long-term phenomena is critical, particularly in terms of a warming Earth (e.g., Svoma et al 2013), the conceptual scope of the ''extremes'' definition implies that other climate variables could be examined in a similar fashion.…”

Section: Introductionmentioning

confidence: 99%

“…The decreased wind speeds in the Southeast are likely caused by inherent lower-elevation terrain and high surface roughness, especially toward the more vegetated southeastern United States (e.g., Zhang et al 2012). Also influencing the decreased wind speeds is the higher atmospheric stability associated with the Atlantic-based BermudaAzores high pressure system that may expand into the southeastern United States, particularly during the summer season (e.g., Svoma et al 2013;Zhu and Liang 2013). We defined our surface wind extremes (WLs and WBs) on the basis of the standard deviation of the longterm mean annual wind speed at each location from a 408-month period of record.…”

mentioning

confidence: 99%

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A Surface Wind Extremes (“Wind Lulls” and “Wind Blows”) Climatology for Central North America and Adjoining Oceans (1979–2012)

Malloy

Krahenbuhl

Bush

et al. 2015

Journal of Applied Meteorology and Climatology

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This study explores long-term deviations from wind averages, specifically near the surface across central North America and adjoining oceans (258-508N, 608-1308W) for 1979-2012 (408 months) by utilizing the North American Regional Reanalysis 10-m wind climate datasets. Regions where periods of anomalous wind speeds were observed (i.e., 1 standard deviation below/above both the long-term mean annual and mean monthly wind speeds at each grid point) were identified. These two climatic extremes were classified as wind lulls (WLs; below) or wind blows (WBs; above

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Section: B Mean Duration Of Wind Lulls and Wind Blowsmentioning

confidence: 92%

Section: A Frequencies Of Wind Lulls and Wind Blowsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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A Surface Wind Extremes (“Wind Lulls” and “Wind Blows”) Climatology for Central North America and Adjoining Oceans (1979–2012)

Malloy

Krahenbuhl

Bush

et al. 2015

Journal of Applied Meteorology and Climatology

Self Cite

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“…The precipitation is significant on the east coast of the mainland due to the summer monsoons coming from the ocean. In addition, the west coast of the mainland around the Tropic of Capricorn and Cancer experiences a reduced amount of precipitation due to the subtropical high-pressure belt [81,82]. For example, West Asia and North Africa on the west coast of the mainland are dry and rainless in the prevailing northeast trade wind and the subsidence of air.…”

Section: Discrepancies In Annual Precipitationmentioning

confidence: 99%

Inter-Comparison of Multiple Gridded Precipitation Datasets over Different Climates at Global Scale

Qi,

Wang,

Chen

2024

Water

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Comprehensive evaluations of global precipitation datasets are imperative for gaining insights into their performance and potential applications. However, the existing evaluations of global precipitation datasets are often constrained by limitations regarding the datasets, specific regions, and hydrological models used for hydrologic predictions. The accuracy and hydrological utility of eight precipitation datasets (including two gauged-based, five reanalysis and one merged precipitation datasets) were evaluated on a daily timescale from 1982 to 2015 in this study by using 2404 rain gauges, 2508 catchments, and four lumped hydrological models under varying climatic conditions worldwide. Specifically, the characteristics of different datasets were first analyzed. The accuracy of precipitation datasets at the site and regional scale was then evaluated with daily observations from 2404 gauges and two high-resolution gridded gauge-interpolated regional datasets. The effectiveness of precipitation datasets in runoff simulation was then assessed by using 2058 catchments around the world in combination with four conceptual hydrological models. The results show that: (1) all precipitation datasets demonstrate proficiency in capturing the interannual variability of the annual mean precipitation, but with magnitudes deviating by up to 200 mm/year among the datasets; (2) the precipitation datasets directly incorporating daily gauge observations outperform the uncorrected precipitation datasets. The Climate Precipitation Center dataset (CPC), Global Precipitation Climatology Center dataset (GPCC) and multi-source weighted-ensemble precipitation V2 (MSWEP V2) can be considered the best option for most climate regions regarding the accuracy of precipitation datasets; (3) the performance of hydrological models driven by different datasets is climate dependent and is notably worse in arid regions (with median Kling–Gupta efficiency (KGE) ranging from 0.39 to 0.65) than in other regions. The MSWEP V2 posted a stable performance with the highest KGE and Nash–Sutcliffe Efficiency (NSE) values in most climate regions using various hydrological models.

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Constraints on Evergreen Broad-Leaved Forests in the Southeastern United States

Box

Fujiwara

2021

Geobotany Studies

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Expansion of the northern hemisphere subtropical high pressure belt: trends and linkages to precipitation and drought

Cited by 5 publications

References 32 publications

A Surface Wind Extremes (“Wind Lulls” and “Wind Blows”) Climatology for Central North America and Adjoining Oceans (1979–2012)

A Surface Wind Extremes (“Wind Lulls” and “Wind Blows”) Climatology for Central North America and Adjoining Oceans (1979–2012)

Inter-Comparison of Multiple Gridded Precipitation Datasets over Different Climates at Global Scale

Constraints on Evergreen Broad-Leaved Forests in the Southeastern United States

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