An anomaly in the occurrence of the month of maximum precipitation distribution in northwest Mexico

Brito‐Castillo, Luis; Vivoni, Enrique R.; Gochis, David; Filonov, Anatoliy; Tereshchenko, Iryna; Monzón, César

doi:10.1016/j.jaridenv.2009.10.014

Cited by 28 publications

(32 citation statements)

References 38 publications

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“…This distribution pattern is consistent with those reported by Brito-Castillo et al (2010) and Douglas et al (1993), who suggested that, the origin of precipitation in the summer months are largely influenced by regional weather system known as the American Southwest Monsoon (Reyes et al, 1994) or Mexican Monsoon (Douglas et al, 1993) which is characterized by the formation of a low pressure center in Sonora and Arizona, which modulates the flow of moisture over the Gulf of California and produces a large convergence and cyclonic vorticity over the Sierra Madre Occidental (Reyes et al, 1994).…”

supporting

confidence: 93%

“…Most notable errors occurred punctually models in regions where the terrain is complex and could be explained by the high variability that is the precipitation in the basin where storm events occur quite irregularly (Brito-Castillo et al, 2010). The incorporation of residual precipitation values predicted by the models has reduced the spatial variability, improve significantly the quality of the interpolations and get reliable MMP geographical coverage (Figure 2b).…”

Section: Discussionmentioning

confidence: 99%

“…Este patrón de distribución concuerda con lo señalado por Brito-Castillo et al (2010) y Douglas et al (1993), quienes sugieren que el origen de las precipitaciones de los meses del verano están influenciadas en gran medida por el sistema atmosférico regional conocido como Monzón del suroeste de Norteamérica (Reyes et al, 1994) o Monzón mexicano (Douglas et al, 1993) que se caracteriza por la formación de un centro de baja presión en Sonora y Arizona, el cual modula el flujo de humedad sobre el Golfo de California y produce una gran convergencia y vorticidad ciclónica sobre la Sierra Madre Occidental (Reyes et al, 1994).…”

Section: Discussionunclassified

“…Los más notables errores de los modelos ocurrieron puntualmente en regiones donde el relieve es complejo; y podrían ser explicados por la alta variabilidad que tiene la precipitación en la cuenca en donde los eventos de tormenta ocurren de manera muy irregular (Brito-Castillo et al, 2010 …”

Section: Discussionunclassified

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Uso de modelos de regresión para interpolar espacialmente la precipitación media mensual en la cuenca del río Conchos

López

Garza

Gómez

et al. 2018

Remexca

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En el presente estudio se analizaron datos mensuales de precipitación provenientes de 110 estaciones climáticas ubicadas al interior y en los alrededores de la Cuenca del Río Conchos (CRC) con el propósito de representar fiablemente la distribución espacial de la precipitación media mensual (PMM) para cada mes del año. Con la información de 60% de estaciones seleccionadas aleatoriamente, se ajustaron modelos de regresión lineal múltiple (MRLM) por pasos para predecir la PMM en función de la elevación del relieve, la proximidad de zonas marítimas y la localización geográf ica de las estaciones. Los MRLM se utilizaron para interpolar espacialmente la PMM, obteniéndose mapas mensuales que fueron calibrados en función de los residuales. Pruebas de validación estadística se llevaron a cabo antes y después de la calibración espacial, utilizando el restante 40% de estaciones no consideradas en el proceso de ajuste de modelos. La proporción de varianza atribuible a las variables predictivas de los MRLM que comprenden el periodo de verano (junio a septiembre) osciló entre 71 y 76%, en tanto que para los modelos del periodo invernal (diciembre y enero) se mantuvo cercana a 50%. Las pruebas de validación estadística mostraron mejoras significativas en la fiabilidad después de calibrar los mapas de PMM, resultando los meses comprendidos entre mayo y septiembre, así como del periodo noviembre a enero, como los mapas más confiables para representar espacialmente la PMM.

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supporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Discussionunclassified

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Uso de modelos de regresión para interpolar espacialmente la precipitación media mensual en la cuenca del río Conchos

López

Garza

Gómez

et al. 2018

Remexca

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“…The majority of the annual precipitation in the territory falls from June to September during the rainy season, when the continental anticyclone weakens and convergence of warm, moist air prevails over the central and southern region. The precipitation on the northwest of the main land also occurs during the rainy season and is related to the North American monsoon [10,11].…”

Section: Study Regionmentioning

confidence: 99%

Evaluation of Error in IMERG Precipitation Estimates under Different Topographic Conditions and Temporal Scales over Mexico

et al. 2017

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This study evaluates the precipitation product of the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) over the Mexican region during the period between April 2014 and October 2015 using three different time scales for cumulative precipitation (hourly, daily and seasonal). Also, the IMERG data have been analyzed as a function of elevation given the rain gauges from the automatic meteorological stations network, located within the area of study, which are used as a reference. In the present study, continuous and categorical statistics are used to evaluate IMERG. It was found that IMERG showed better performance at the daily and seasonal time scale resolutions. While hourly precipitation estimates reached a mean correlation coefficient of 0.35, the daily and seasonal precipitation estimates achieved correlations over 0.51. In addition, the IMERG precipitation product was able to reproduce the diurnal and daily cycles of the average precipitation with a trend towards overestimating rain gauges. However, extreme precipitation events were highly underestimated, as shown by relative biases of −61% and −46% for the hourly and daily precipitation analysis, respectively. It was also found that IMERG tends to improve precipitation detection and to decrease magnitude errors over the higher terrain elevations of Mexico.

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Ocean–atmosphere conditions related to severe and persistent droughts in the Mexican Altiplano

Vega-Camarena

Brito‐Castillo

Farfán

et al. 2017

Intl Journal of Climatology

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Ocean and atmospheric patterns associated with the most severe and most persistent droughts in the Mexican Altiplano region are explored. The standardized precipitation index on a time scale of 12 months was used and compared with time series of other atmospheric conditions to identify major dry episodes from 1970 to 2012. The time series were derived from the second mode of a varimax-rotated empirical orthogonal functional analysis from the mean summer rainfall series observed at weather stations located in the Mexican Altiplano from 1970 through 2000. The results showed that the longest and most persistent episode occurred from 1998 through 2001, while the most severe dry episode occurred in 2011-2012, when the Pacific Decadal Oscillation was in a negative phase and the Atlantic Multidecadal Oscillation in a positive phase, both in combination with a La Niña event. A large upper-level anticyclone over the north-central United States is related to droughts in the Altiplano. Under these conditions, the droughts were linked to a large anticyclone positioned over the central-north of the United States, with consequent negative anomalies of specific humidity over central-northern Mexico. Concurrent with droughts in the interior of Mexico, are positive rainfall anomalies along the central Pacific coast of Mexico near the study area.Under different atmospheric conditions, opposite anomalous behaviour between the coast and interior can exist. The mechanism driving this see-saw behaviour between the west coast of Mexico and the Altiplano is explored.

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An anomaly in the occurrence of the month of maximum precipitation distribution in northwest Mexico

Cited by 28 publications

References 38 publications

Uso de modelos de regresión para interpolar espacialmente la precipitación media mensual en la cuenca del río Conchos

Uso de modelos de regresión para interpolar espacialmente la precipitación media mensual en la cuenca del río Conchos

Evaluation of Error in IMERG Precipitation Estimates under Different Topographic Conditions and Temporal Scales over Mexico

Ocean–atmosphere conditions related to severe and persistent droughts in the Mexican Altiplano

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