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dc.creatorGil-Alana, L.A. (Luis A.)-
dc.creatorGupta, R. (Rangan)-
dc.creatorSauci, L. (L.)-
dc.creatorCarmona-González, N. (Nieves)-
dc.identifier.citationGil-Alana, L.A. (Luis A.); Gupta, R. (Rangan); Sauci, L. (L.); et al. "Temperature and precipitation in the US states: long memory, persistence, and time trend". Theoretical and Applied Climatology. (150), 2022, 1731 - 1744es_ES
dc.description.abstractThis paper investigates the time series properties of the temperature and precipitation anomalies in the contiguous USA by using fractional diferentiation. This methodology allows to capture time trend components along with properties such as long-range dependence and the degree of persistence. For aggregated data, we fnd out that long memory is present in both precipitation and temperature since the integration order is signifcantly positive in the two cases. The time trend is also positive, being higher for the temperature. In addition, observing disaggregated data by states, for the temperature, there are only seven states where the time trend is not signifcant, with most of them located in Southeast areas, while for the rest of cases, the time trend is signifcantly positive. All cases exhibit long-range dependence, though the diferencing parameter substantially changes from one state to another, ranging from 0.09 in Nebraska and Kansas to 0.18 in Florida and Michigan. For precipitation, the time trend is insignifcant in a large number of cases, and the integration order is smaller than for the temperature. In fact, short memory cannot be rejected in fourteen states, and the highest orders of diferencing are obtained in Arizona (d=0.11) and Texas (0.12). In general, we highlight that one cannot draw conclusions about persistence and trends in these two climate-related variables based on aggregate information of the overall USA, given widespread heterogeneity across the states. Tentatively, the degree of dependence across the states seems to be negatively correlated with their level of climate-related risks and the associated preparedness in terms of handling climate change, but this conclusion requires more elaborate research in the future.es_ES
dc.description.sponsorshipProf. Luis A. Gil-Alana gratefully acknowledges financial support from the MINEIC-AEI-FEDER PID2020-113691RB-I00 project from ‘Ministerio de Economía, Industria y Competitividad’ (MINEIC), ‘Agencia Estatal de Investigación’ (AEI) Spain and ‘Fondo Europeo de Desarrollo Regional’ (FEDER), and also from Internal Projects of the Universidad Francisco de Vitoria.es_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Proyectos I+D/PID2020-113691RB-I00/ES/INTEGRACION FRACCIONAL: AVANCES TEORICOS Y DESARROLLOS EMPIRICOSes_ES
dc.subjectLong memoryes_ES
dc.subjectMaterias Investigacion::Economía y Empresa::Economíaes_ES
dc.titleTemperature and precipitation in the US states: long memory, persistence, and time trendes_ES
dc.description.noteThis article is licensed under a Creative Commons Attribution 4.0 International Licensees_ES
dadun.citation.publicationNameTheoretical and Applied Climatologyes_ES

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