Effects of Urbanization on Extreme Climate Indices in the Valley of Mexico Basin

Montero-Martínez, Martín José; Andrade-Velázquez, Mercedes

doi:10.3390/atmos13050785

Cited by 3 publications

(1 citation statement)

References 69 publications

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“…The second one is the multidisciplinary cross-sectional research oriented to urbanization. Scholars mostly combine urbanization development with the ecological environment [17][18][19], land use [20][21][22], industrialization [23,24], etc. to analyze the relationship and the mechanism of action between them.…”

Section: Connotation and Evaluation System Of New Urbanizationmentioning

confidence: 99%

Research on Coupling Coordination of China’s New-Type Urbanization and Urban Resilience—Taking Yangtze River Economic Belt as an Example

Liu

Wang²,

Su³

et al. 2022

Sustainability

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The coupled and coordinated development of urban resilience and new urbanization is an important guarantee for the realization of urban security and sustainable development. This paper first constructs an evaluation index of urban resilience and new urbanization and uses the entropy method to clarify the weights. Second, the coupling coordination degree model is used to measure the spatiotemporal differentiation characteristics of the coupling coordinated development of urban resilience and new urbanization in the Yangtze River Economic Belt from 2005 to 2019. The key influencing factors of the coupling coordination are analyzed using geodetectors. The results show the following. (1) The urban resilience of the Yangtze River Economic Belt has continued to improve, showing a stepwise distribution pattern of “high in the east and low in the west” in space. The overall development of new urbanization is at a medium–high level, with high levels concentrated in the eastern coastal cities. (2) The degree of spatial coupling and coordination between urban resilience and new urbanization is increasing year by year, and there is significant spatial heterogeneity, showing the pattern of “high in the east and low in the west, high in the center and low in the surrounding areas”, and the type of lag is mostly urban resilience lag in new urbanization. (3) Endogenous power, external power, government power and market power interact to jointly promote the development of coupling coordination. The comprehensive effect of government power and other driving forces is the key mechanism for improving spatial coupling coordination.

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Section: Connotation and Evaluation System Of New Urbanizationmentioning

confidence: 99%

Research on Coupling Coordination of China’s New-Type Urbanization and Urban Resilience—Taking Yangtze River Economic Belt as an Example

Liu

Wang²,

Su³

et al. 2022

Sustainability

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Climatic temperature indices for the coastal resilience observatory in Tabasco (Dos Bocas)‒LANRESC

Andrade-Velázquez,

Montero-Martínez,

Vargas Magaña

2024

Earth sci. res. j.

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This study focused on calculating climate change indices derived from maximum and minimum temperature variables for the Coastal Resilience Observatory in Tabasco, Dos Bocas, located in Paraíso, Tabasco, Mexico. The indices were computed using CLIMPACT2, 2007 version, and a total of 26 indices were obtained for the period from 1940 to 2022. Subsequently, significant trends were calculated using statistical tests such as Mann‒Kendall, trend-free prewhitening, bias correction applied to prewhitening, and variance correction (by two methods). Sen's slope method was employed to determine the extent of alteration in extreme climate indices. Increasing trends were found in the indices tn90p (%), tx90p (%), tr (days), txgt50p (%), wdsi (days), su (days), tmge10 (days), tmge5 (days), gddgrow (days), and gsl (days), indicating the presence of local warming and providing evidence of climate change detection. These results contribute to updating climate information in the area and serve as a proposal for replication in the other six Coastal Observatories of the National Coastal Resilience Laboratory in Mexico, as part of measures related to climate stressors in coastal areas where these observatories are located. This information is valuable for decision-makers and the general population, as it will support socio-environmental adaptation and mitigation measures in the face of climate change as part of efforts to enhance the resilience of socioecosystems in coastal areas.

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Relative Homogenization of Climatic Time Series

Domonkos

2024

Atmosphere

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Homogenization of the time series of observed climatic data aims to remove non-climatic biases caused by technical changes during the history of the climate observations. The spatial redundancy of climate information helps to recognize station-specific inhomogeneities with statistical methods, but the correct detection and removal of inhomogeneity biases is generally not easy for the combined effects of individual inhomogeneities. In a homogenization procedure, several time series of a given climatic variable observed in one climatic region are usually homogenized together via a large number of spatial comparisons between them. Such procedures are called relative homogenization. A relative homogenization procedure may include one or more homogenization cycles where a cycle includes the steps of time series comparison, inhomogeneity detection and corrections for inhomogeneities, and they may include other steps like the filtering of outlier values or spatial interpolations for infilling data gaps. Relative homogenization methods differ according to the number and content of the individual homogenization cycles, the procedure for the time series comparisons, the statistical inhomogeneity detection method, the way of the inhomogeneity bias removal, among other specifics. Efficient homogenization needs the use of tested statistical methods to be included in partly or fully automated homogenization procedures. Due to the large number and high variety of homogenization experiments fulfilled in the Spanish MULTITEST project (2015–2017), its method comparison test results are still the most informative about the efficiencies of homogenization methods in use. This study presents a brief review of the advances in relative homogenization, recalls some key results of the MULTITEST project, and analyzes some theoretical aspects of successful homogenization.

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Effects of Urbanization on Extreme Climate Indices in the Valley of Mexico Basin

Cited by 3 publications

References 69 publications

Research on Coupling Coordination of China’s New-Type Urbanization and Urban Resilience—Taking Yangtze River Economic Belt as an Example

Research on Coupling Coordination of China’s New-Type Urbanization and Urban Resilience—Taking Yangtze River Economic Belt as an Example

Climatic temperature indices for the coastal resilience observatory in Tabasco (Dos Bocas)‒LANRESC

Relative Homogenization of Climatic Time Series

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