Validación espacial de datos climatológicos y pruebas de homogeneidad: caso Veracruz, México

Guajardo-Panes, Rafael Alberto; Granados-Ramírez, Guadalupe Rebeca; Sánchez-Cohen, Ignacio; Díaz-Padilla, Gabriel; Barbosa-Moreno, Finlandia

doi:10.24850/j-tyca-2017-05-11

Cited by 7 publications

(7 citation statements)

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“…These tests are able to locate the year where a break is most likely (Wijngaard et al, 2003) to appear. SNHT allows the determination of the inhomogeneous structure at the beginning and/or at the end of time series (Firat et al, 2012), whereas the Buishand range test and the Pettitt test detect a point of change in the observed time series and detect inhomogeneous structures with more sensitivity in the middle of a time series (Firat et al, 2012;Guajardo Panes et al, 2017). The SNHT and the Buishand range tests assume that the 𝑌 𝑖 values are normally distributed, where 𝑌 𝑖 (𝑖 is the year from 1 to 𝑛) is the annual series to be tested; but the Pettitt test does not (Wijngaard et al, 2003).…”

Section: Homogeneity Test Of Datamentioning

confidence: 99%

“…The Buishand range test can be used with variables having any type of distribution (Guajardo Panes et al, 2017). In Eq.…”

Section: Homogeneity Test Of Datamentioning

confidence: 99%

“…The Pettitt test is a non-parametric rank test (Guajardo Panes et al, 2017) that detects a point of change in the observed time series and is more sensitive for detecting inhomogeneous structures in the middle of a time series (Firat et al, 2012). In Eq.…”

Section: Homogeneity Test Of Datamentioning

confidence: 99%

“…with 𝑘 = 1, ⋯ , 𝑛. If a break occurs in the year 𝑘 = 𝐸, then the statistic is maximal or minimal near the year 𝑘 = 𝐸: 𝑋 𝐸 = 𝑚𝑎𝑥 1≤𝑘≤𝑛 |𝑋 𝑘 |(Wijngaard et al, 2003) Wijngaard et al (2003), andGuajardo Panes et al (2017). classified stations as reliable or useful, moderately reliable or doubtful, and unreliable or suspect according to the number of tests that rejected the null hypothesis.…”

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confidence: 99%

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A comparison of missing values imputation methods applied to precipitation of two semi-arid and humid regions of México

Céspedes

Hernández

Concepción

et al. 2022

ATM

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Climatological data with unreliable or missing values is an important area of research, and multiple methods are available to fill in missing data and evaluate data quality. Our study aims to compare the performance of different methods for estimating missing values that are explicitly designed for precipitation and multipurpose hydrological data. The climate variable used for the analysis was daily precipitation. We considered two different climate and orographic regions to evaluate the effects of altitude, precipitation regime and percentage of missing data on the Mean Absolute Error of imputed values and using a homogeneity evaluation of meteorological stations. We excluded from the analysis meteorological stations with more than 25% missing data. In the semi-arid region, ReddPrec (optimal for 9 stations), and GCIDW (optimal for 8) were the best performing methods for the 23 stations, with average MAE values of 1.63 mm/day and 1.46 mm/day, respectively. In the humid region, GCIDW was optimal in ~59% of stations, EM in ~24%, and ReddPrec in ~17%, with average MAE values of ~6.0 mm/day, 6.5 mm/day and ~9.8 mm/day, respectively. This research makes an important contribution to identifying the most appropriate methods to impute daily precipitation in different climatic regions of Mexico based on efficiency indicators and homogeneity evaluation.

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Section: Homogeneity Test Of Datamentioning

confidence: 99%

“…The Buishand range test can be used with variables having any type of distribution (Guajardo Panes et al, 2017). In Eq.…”

Section: Homogeneity Test Of Datamentioning

confidence: 99%

Section: Homogeneity Test Of Datamentioning

confidence: 99%

mentioning

confidence: 99%

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A comparison of missing values imputation methods applied to precipitation of two semi-arid and humid regions of México

Céspedes

Hernández

Concepción

et al. 2022

ATM

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“…The vast majority of research on drought carried out in the country has focused on evaluating the meteorological drought hazard based on rainfall records obtained from weather stations (i.e., [38][39][40][41][42]). However, weather stations are not evenly distributed in the country, and fewer and fewer stations remain operational due to a lack of maintenance budget and personnel, which is why historical climatological records are not spatially or temporally consistent and they must be subjected to quality control, homogenization, and data filling processes [43,44]. Given these circumstances, and despite the enormous potential of remote-sensing techniques based on satellite imagery to monitor drought, remote-sensing techniques have rarely been used in the country.…”

Section: Introductionmentioning

confidence: 99%

Agricultural Drought Risk Assessment: A Spatial Analysis of Hazard, Exposure, and Vulnerability in Zacatecas, Mexico

Ortega-Gaucin

Ceballos-Tavares

Sánchez

et al. 2021

Water

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Drought is one of the major threats to water and food security in many regions around the world. The present study focuses on the evaluation of agricultural drought risk from an integrated perspective, that is, emphasizing the combined role of hazard, exposure, and vulnerability to drought. For this purpose, we used the Mexican state of Zacatecas as a case study. This state is one of the most vulnerable to the adverse effects of agricultural drought in the country. The proposed method includes three stages: first, we analyzed the risk of agricultural drought at the municipal scale using the FAO Agricultural Stress Index System (ASIS) in its country version (Country-Level ASIS) and also determined a Drought Hazard Index (DHI). Subsequently, we conducted a municipal assessment of exposure and vulnerability to drought based on a set of socioeconomic and environmental indicators, which we combined using an analytical procedure to generate the Drought Exposure Index (DEI) and the Drought Vulnerability Index (DVI). Finally, we determined a Drought Risk Index (DRI) based on a weighted addition of the hazard, exposure, and vulnerability indices. Results showed that 32% of the state’s municipalities are at high and very high risk of agricultural drought; these municipalities are located mainly in the center and north of the state, where 75.8% of agriculture is rainfed, 63.6% of production units are located, and 67.4% of the state’s population depends on agricultural activity. These results are in general agreement with those obtained by other studies analyzing drought in the state of Zacatecas using different meteorological drought indices, and the results are also largely in line with official data on agricultural surfaces affected by drought in this state. The generated maps can help stakeholders and public policymakers to guide investments and actions aimed at reducing vulnerability to and risk of agricultural drought. The method described can also be applied to other Mexican states or adapted for use in other states or countries around the world.

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Identification of changes in the rainfall regime in Chihuahua's state (México)

Uribe

2022

CIG

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The impacts of Climate Change are not homogeneous globally or for a country or region as a whole. Consequently, it is essential to carry out studies to identify its effects in particular areas. Due to its geographical and topographic characteristics, Chihuahua's state is vulnerable to the adverse effects of Climate Change. The scarce availability of water resources leads to problems of social pressure and economic impact. This paper analyzes the alteration of the rainfall regime in Chihuahua's state and its association with Climate Change. For this, historical characterization is used; trend analysis using the Mann Kendall test; and calculation of 10 indices of climatic extremes proposed by the Group of Experts for Detection and Climate Change Indices for the precipitation variable. The results showed that the precipitation patterns in the south and southeast of Chihuahua's state have been gradually modifying, with a downward trend in annual accumulated and reduction of wet days. Still, in counterpart, there is a slight intensification of extreme rainfall. This fact added to the growing demand for water resources in the entity, requests for public policies for sustainable management and responsible use by users. Otherwise, there is a risk of experiencing negative effects associated with the over-exploitation of water, not only for the resource users but also for the environment.

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Validación espacial de datos climatológicos y pruebas de homogeneidad: caso Veracruz, México

Cited by 7 publications

References 0 publications

A comparison of missing values imputation methods applied to precipitation of two semi-arid and humid regions of México

A comparison of missing values imputation methods applied to precipitation of two semi-arid and humid regions of México

Agricultural Drought Risk Assessment: A Spatial Analysis of Hazard, Exposure, and Vulnerability in Zacatecas, Mexico

Identification of changes in the rainfall regime in Chihuahua's state (México)

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