Temporal and Spatial Variability of Annual Precipitation in Costa Rica and the Southern Oscillation

Waylen, Peter R.; Quesada, Marvin; Caviedes, César N.

doi:10.1002/(sici)1097-0088(199602)16:2<173::aid-joc12>3.0.co;2-r

Cited by 55 publications

(35 citation statements)

References 3 publications

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“…Pearson product moments were used to estimate correlations between measures of the SOI and streamflow variables over various lagged time periods. Analysis of precipitation data (Waylen et al, 1996a) suggested that lags from -1 to +2 years needed to be considered. Historic series were subdivided into three sub-populations corresponding to warm, cold and other years according to Table 3.…”

Section: Methodsmentioning

confidence: 99%

Interannual variability of annual streamflow and the Southern Oscillation in Costa Rica

George¹,

Waylen

Laporte

1998

Hydrological Sciences Journal

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This study illustrates the association between annual and seasonal streamflow characteristics on six Costa Rican rivers and the Southern Oscillation Index (SOI). Annual discharge from rivers within the Pacific watershed are clearly positively associated with contemporary values of the SOI and experience significant reductions in both mean and variance in El Nine years. The considerable practical implications of this finding to a country in which over 60% of national electrical power comes from hydroelectric schemes is illustrated using quantile estimates from various models. Rivers draining towards the Caribbean show less clear and coherent patterns of associations. The observed associations with seasonal flows on some rivers appear to be the opposite of those on the Pacific, and may even vary during the course of a year at a site. The exact nature of the response seems to be closely related to the elevation of the gauge site. The larger the proportion of the basin at elevations above about 500-1000 m the greater the similarity to the Pacific pattern, suggesting that the marked topographic divide between the two coastal watersheds does not correspond to the divide in associations between streamflow and the SOI.

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Section: Methodsmentioning

confidence: 99%

Interannual variability of annual streamflow and the Southern Oscillation in Costa Rica

George¹,

Waylen

Laporte

1998

Hydrological Sciences Journal

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“…Initially, it was used only in the analysis of spatial variability and modeling in earth sciences; however, its scope has been extended to include the analysis and prediction of any phenomena that vary in space and time. Specifically, geostatistics has become an important tool for the interpolation of weather data to unsampled sites (Waylen et al, 1995;Holawe and Dutter, 1999).…”

Section: Rain Estimationmentioning

confidence: 99%

Comparison of Univariate and Bivariate Approaches to Map Precipitation Using Geostatistics and the Kalman Filter

Ávila-Carrasco¹,

Júnez-Ferreira²,

González-Trinidad³

et al. 2016

Appl Ecol Env Res

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Abstract. Measured rainfall data are very important in agriculture and environmental science. However, in many cases, the information gathered by existing rain gauges is insufficient for characterizing climatic variation within a study area. Thus, the use of interpolation techniques is necessary to predict values to unsampled sites. In this work, the performances of geostatistical algorithms, such as ordinary kriging and ordinary cokriging, and a proposed Kalman filter method were compared for mapping rainfall. The analysis was performed using both univariate and bivariate approaches. Natural terrain elevation was taken as the auxiliary variable for the bivariate case. The analysis was conducted for specific months of the dry and wet seasons in the Santiago River basin in Mexico. After comparison of the statistical errors, it was established that the geostatistical methods provided excellent results (especially cokriging) for the wet season months, with good correlation of 0.7 or above between rainfall and elevation, but not for the dry season months. Nevertheless, good results were achieved for the dry season months using the proposed Kalman filter methodology, due to the high normality and spatial dependence of the sample in this period.

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“…Los patrones climáticos a escala regional parecen ser consistentes con los escenarios a más largo plazo y a nivel global. Por ello, se predice severos impactos en la agricultura, la biodiversidad y el uso de la tierra a nivel regional (Poveda, Waylen y Pulwarty, 2006;Waylen, Quesada, Caviedes, 1996a;Waylen, Caviedes y Quesada, 1996b).…”

Section: Antecedentesunclassified

“…Al parecer, El Niño es un sistema no lineal, con dos o tres nodos sobre los que opera. En general, hay un patrón coherente de anormalidades climáticas e hidrológicas sobre la región durante las fases extremas de El Niño (Waylen et al, 1996a(Waylen et al, , 1996b: las anormalidades negativas (reducción de lluvia, humedad del suelo y ríos) así como las temperaturas más altas ocurren de julio a agosto, a partir de periodos de veranillo en los años de El Niño. Lo opuesto sucede durante la fase fría de La Niña, aunque hay diferencias en tiempo y extensión del efecto.…”

Section: Visión Integral Para El Manejo Sostenible De La Cuenca Del Tunclassified

Modelaje integrado de cambio climático y socioeconómico en el manejo sostenible del recurso hídrico en la cuenca Arenal-Tempisque: Una propuesta multidisciplinaria

2012

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Temporal and Spatial Variability of Annual Precipitation in Costa Rica and the Southern Oscillation

Cited by 55 publications

References 3 publications

Interannual variability of annual streamflow and the Southern Oscillation in Costa Rica

Interannual variability of annual streamflow and the Southern Oscillation in Costa Rica

Comparison of Univariate and Bivariate Approaches to Map Precipitation Using Geostatistics and the Kalman Filter

Modelaje integrado de cambio climático y socioeconómico en el manejo sostenible del recurso hídrico en la cuenca Arenal-Tempisque: Una propuesta multidisciplinaria

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