Decreasing trends in consecutive‐day tornado events in the United States

Moore, Todd W.

doi:10.1002/joc.7210

Cited by 6 publications

(3 citation statements)

References 38 publications

(68 reference statements)

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“…When β < 0, there is a decreasing trend. Sen's slope is usually combined with the Mann-Kendall (M-K) test and is popular in vegetation study [58,59], meteorology [60], etc. While Sen's slope is for trend analysis, Mann-Kendall is used to assess the significance of the trend.…”

Section: Theil-sen Median Trend Analysis and Mann-kendall Testmentioning

confidence: 99%

Land Use and Climate Change Altered the Ecological Quality in the Luanhe River Basin

Zhang

Song

Fan

et al. 2022

IJERPH

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Monitoring and assessing ecological quality (EQ) can help to understand the status and dynamics of the local ecosystem. Moreover, land use and climate change increase uncertainty in the ecosystem. The Luanhe River Basin (LHRB) is critical to the ecological security of the Beijing–Tianjin–Hebei region. To support ecosystem protection in the LHRB, we evaluated the EQ from 2001 to 2020 based on the Remote Sensing Ecological Index (RSEI) with the Google Earth Engine (GEE). Then, we introduced the coefficient of variation, Theil–Sen analysis, and Mann–Kendall test to quantify the variation and trend of the EQ. The results showed that the EQ in LHRB was relatively good, with 61.08% of the basin rated as ‘good’ or ‘excellent’. The spatial distribution of EQ was low in the north and high in the middle, with strong improvement in the north and serious degradation in the south. The average EQ ranged from 0.58 to 0.64, showing a significant increasing trend. Furthermore, we found that the expansion of construction land has caused degradation of the EQ, whereas climate change likely improved the EQ in the upper and middle reaches of the LHRB. The results could help in understanding the state and trend of the eco-environment in the LHRB and support decision-making in land-use management and climate change.

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Section: Theil-sen Median Trend Analysis and Mann-kendall Testmentioning

confidence: 99%

Land Use and Climate Change Altered the Ecological Quality in the Luanhe River Basin

Zhang

Song

Fan

et al. 2022

IJERPH

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“…In environmental sciences, one may be interested in tracking the trends in consecutive‐day tornado events at a particular location. A related resource is that by Moore (2021). A point to note is that in all these instances, the perturbation denotes the change in the underlying difference as one moves ahead or back in time by one unit.…”

Section: Introduction With Motivationsmentioning

confidence: 99%

A distribution on ℤ via perturbing the Laplace distribution with applications to finance and health data

Bapat

Bakouch

Chesneau

2023

Stat

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This paper is devoted to a new two‐parameter distribution on having an original additive stochastic structure. It is defined by the sum of two independent discrete random variables, where one is defined based on the Laplace distribution and the other on a transformed version of a distribution that can be viewed as a relative binomial distribution. It can thus also be viewed as a perturbed version of the Laplace distribution. We present some interesting properties of the proposed distribution, such as its moments (ordinary, non‐central, incomplete moments, etc.), characteristic function, skewness, and kurtosis, among others. The distribution is also applied to practical datasets from finance and health studies, where it is seen to perform better than some of the existing models defined on .

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“…However, the greatest risk for tornado outbreaks is in the lower Mississippi River valley (Fuhrmann et al, 2014;Anderson-Frey et al, 2018). Some researchers highlight an eastward shift in tornado activity with peaks in the Southeast and Lower-Midwest regions of the United States (Moore, 2021;Moore and DeBoer, 2019;Ashley and Strader, 2016). The spatial distribution is an important component of tornado and outbreak climatology; however, the temporal distribution of tornado activity in the United States is a critical component of tornado climatology.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Overlap: Comparing STORGIS and ONETOR data between 1950 and 1989

Schroder,

Fricker

2023

Preprint

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The current understanding of tornado climatology centers on the Storm Prediction Center's tornado database (ONETOR) which dates back to 1950. To understand tornado climatology before this date, a secondary database (STORGIS) of digitized tornado records over the period 1880–1989 are used. Here, the ONETOR database and STORGIS data set are compared for individual tornadoes and outbreaks with six or more F2+ tornadoes during the overlapping years of 1950 to 1989. For the study period, there are more individual tornado reports in the ONETOR database relative to the STORGIS data set. While both databases suggest a similar broad-scale understanding of tornado climatology spatially and by decade, month, and year, there is a statistically significant difference between the two databases with regards to the total number of reports over the study period. For the study period, there are more tornado outbreaks in the ONETOR database relative to the STORGIS data set. In total, more than 94% of the missing outbreaks in the STORGIS data set are weaker outbreaks with ten or less tornadoes. While the general spatial and temporal patterns of the number and size of tornado outbreaks is similar between the STORGIS data set and ONETOR database, there is a statistically significant difference in the total number and average number of tornado outbreaks between each database. These results herein indicate that while the STORGIS data set is representative of large-scale patterns of F2+ tornado behavior in the United States, it cannot be used synonymously with the ONETOR database without additional statistical methods or context.

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Decreasing trends in consecutive‐day tornado events in the United States

Cited by 6 publications

References 38 publications

Land Use and Climate Change Altered the Ecological Quality in the Luanhe River Basin

Land Use and Climate Change Altered the Ecological Quality in the Luanhe River Basin

A distribution on ℤ via perturbing the Laplace distribution with applications to finance and health data

Exploring the Overlap: Comparing STORGIS and ONETOR data between 1950 and 1989

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