DOI: 10.11606/d.14.2019.tde-14052019-124449
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Valley-mountain circulation associated with precipitation formation in the tropical Andes (Rio Santa Basin)

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Cited by 2 publications
(2 citation statements)
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“…This period was chosen because of the availability of in situ station data and also corresponds to a year with annual precipitation values close to the mean precipitation of the 1965-2014 period as calculated from 10 long-term stations among the ones used in this study and in [13]. We tested different parametrization schemes using the WRF-6 km domain to identify the most appropriate setup to describe the observed diurnal cycle of precipitation during March 2013 [55]. We chose the WRF-6 km configuration that presents lesser errors (in terms of bias, root mean square error, mean absolute error, and diurnal cycle phase and amplitude) to reproduce precipitation characteristics compared to in situ observations to provide boundary conditions to WRF-2 km simulation.…”
Section: Wrf Simulationsmentioning
confidence: 99%
“…This period was chosen because of the availability of in situ station data and also corresponds to a year with annual precipitation values close to the mean precipitation of the 1965-2014 period as calculated from 10 long-term stations among the ones used in this study and in [13]. We tested different parametrization schemes using the WRF-6 km domain to identify the most appropriate setup to describe the observed diurnal cycle of precipitation during March 2013 [55]. We chose the WRF-6 km configuration that presents lesser errors (in terms of bias, root mean square error, mean absolute error, and diurnal cycle phase and amplitude) to reproduce precipitation characteristics compared to in situ observations to provide boundary conditions to WRF-2 km simulation.…”
Section: Wrf Simulationsmentioning
confidence: 99%
“…According to Gonzalo [9] and Calvo [10], he mentions that a series can be non-stationary and stationary, the latter being the one that must be constant in the mean and in the variance. [11] All-time series must comply with the process of identification, estimation, validation and prediction, estimation, validation and prediction.…”
Section: Methodsmentioning
confidence: 99%