An analysis of temperature anomalies in Chile using fractional integration

Gil-Alana, Luís A.; Martín-Valmayor, Miguel; Hube-Antoine, Cristina

doi:10.1007/s00477-023-02414-3

Cited by 3 publications

(1 citation statement)

References 48 publications

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“…At present, the study of rainfall-runoff processes developed for several climate scenarios can be explored with autoregressive models [14]. Even anomalies due to climate change are studied with ARMA models [15]. A framework that integrates the climatological part with time series analysis is the CRHUDA model, which employs the combination of humidity, atmospheric pressure, and dew point series to predict the onset of precipitation.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis of Start Point of Extreme Daily Rainfall Using CRHUDA and Stochastic Models

Muñoz-Mandujano,

Gutierrez-Lopez,

Acuña-Garcia

et al. 2024

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Forecasting extreme precipitation is one of the basic actions of warning systems in Latin America and the Caribbean (LAC). With thousands of economic losses and severe damage caused by floods in urban areas, hydrometeorological monitoring is a priority in most countries in the LAC region. The monitoring of convective precipitation, cold fronts, and hurricane tracks are the most demanded technological developments for early warning systems in the region. However, predicting and forecasting the onset time of extreme precipitation is a subject of life-saving scientific research. Developed in 2019, the CRHUDA (Crossing HUmidity, Dew point, and Atmospheric pressure) model provides insight into the onset of precipitation from the Clausius–Clapeyron relationship. With access to a historical database of more than 600 storms, the CRHUDA model provides a prediction with a precision of six to eight hours in advance of storm onset. However, the calibration is complex given the addition of ARMA(p,q)-type models for real-time forecasting. This paper presents the calibration of the joint CRHUDA+ARMA(p,q) model. It is concluded that CRHUDA is significantly more suitable and relevant for the forecast of precipitation and a possible future development for an early warning system (EWS).

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Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis of Start Point of Extreme Daily Rainfall Using CRHUDA and Stochastic Models

Muñoz-Mandujano,

Gutierrez-Lopez,

Acuña-Garcia

et al. 2024

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CO2 emissions in Latin America: a time series perspective based on fractional integration

Asturias-Schaub,

Gil-Alana

2023

Environ Sci Pollut Res

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This article deals with the analysis of $${\mathrm{CO}}_{2}$$ CO 2 emissions in Latin America by using a long memory process based on fractional integration. Using data of $${\mathrm{CO}}_{2}$$ CO 2 emission and $${\mathrm{CO}}_{2}$$ CO 2 emissions per capita, for 32 Latin American and Caribbean countries, the results show significant differences according to the variable examined, the model used, and the country under examination. In particular, for the $${\mathrm{CO}}_{2}$$ CO 2 emissions, mean reversion is found in Belize and also under some circumstances in Antigua and Barbuda, Colombia, Dominica, Dominican Republic, Ecuador, Grenada, Honduras, Nicaragua, Panama, Peru, and Uruguay. Thus, shocks in these series have a transitory effect. With respect to the time trends, only for some Caribbean countries, namely, Antigua and Barbuda, Aruba, Bahamas, Cuba, and Jamaica, the trend is insignificant; on the other hand, large countries like Brazil, Mexico, and Argentina display the highest time trend coefficients; for the $${\mathrm{CO}}_{2}$$ CO 2 emissions per capita, there are eleven countries where mean reversion is detected, and there are ten that share a lack of significance for the trend. The most significant trends now take place in Trinidad and Tobago, British Virgin Islands, Barbados, and Guyana. Policy implications of the results obtained are reported at the end of the paper.

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A bibliometric review on gender equity in human resource management

Jabeen,

Goli,

Kafila

et al. 2024

Futur Bus J

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This research paper outlines the fundamental areas and current complexities of the gender equity in HRM domain; given the importance of HR and gender equity-centre stage of developing this paper, there has been a noticeable rise in publications in recent years, indicating a rising interest in gender equity concerns within HRM. The influence of leadership styles on gender equality, work-life balance, diversity and inclusion policies, and gender bias in recruitment and promotion are some of the major issues that have been discovered gender equity, as shown by the study’s emphasis on inter-connectedness. The connection between gender and other social characteristics such as race, ethnicity, and socioeconomic status is a complex issue. Thus, we suggest potential directions for future research. Analysis was conducted on 1555 studies sourced from the Scopus database between 2005 and 2023. This study aimed to identify research initiatives that concentrate on achieving gender equality in HRM. To ascertain the most influential articles and authors, their citation and publication counts were determined. The predominant area of investigation in HRM research is gender equity, a key issue, while other factors, such as age, nationality, ethnicity, professional background, and cognition, are often neglected.

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An analysis of temperature anomalies in Chile using fractional integration

Cited by 3 publications

References 48 publications

Sensitivity Analysis of Start Point of Extreme Daily Rainfall Using CRHUDA and Stochastic Models

Sensitivity Analysis of Start Point of Extreme Daily Rainfall Using CRHUDA and Stochastic Models

CO2 emissions in Latin America: a time series perspective based on fractional integration

A bibliometric review on gender equity in human resource management

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