2015
DOI: 10.1002/met.1500
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A surface wind speed map for Mexico based on NARR and observational data

Abstract: A systematic comparison of the surface wind speed records extracted from the North American Regional Reanalysis (NARR) database and the network of automated surface observation stations of the Mexican National Weather Service has been conducted. The work presented here is based on a multi-step procedure that initiates with a point-to-point comparison of surface observations and NARR grid point, followed by the reconstruction of missing data from the quality-controlled observational data set using an iterative … Show more

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Cited by 3 publications
(2 citation statements)
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“…These results are in accordance with other studies (Decker et al ., 2012; Cannon et al ., 2015; Kaiser‐Weiss et al ., 2015; Rose and Apt, 2016; Minola et al ., 2020), where wind speeds from different reanalyses products are compared against flux tower or meteorological data in different areas of the globe. But in contrast with others (Toledo et al ., 2015; Coburn, 2019), probably mainly related to the studied area. Coburn (2019) in the upper Midwest of the United States, showed that correlations between reanalyses and observations improve with higher temporal reanalysis resolution (monthly correlations are smaller than daily correlations).…”
Section: Resultsmentioning
confidence: 96%
“…These results are in accordance with other studies (Decker et al ., 2012; Cannon et al ., 2015; Kaiser‐Weiss et al ., 2015; Rose and Apt, 2016; Minola et al ., 2020), where wind speeds from different reanalyses products are compared against flux tower or meteorological data in different areas of the globe. But in contrast with others (Toledo et al ., 2015; Coburn, 2019), probably mainly related to the studied area. Coburn (2019) in the upper Midwest of the United States, showed that correlations between reanalyses and observations improve with higher temporal reanalysis resolution (monthly correlations are smaller than daily correlations).…”
Section: Resultsmentioning
confidence: 96%
“…The transfer of wind roses may not only change the Weibull parameters, but may also distort the underlying histogram, resulting in varying degrees of goodness of fit. R 2 -related parameters can be constructed for their use as similarity features; additionally, a modified weighting scheme (similarly to the one proposed in [19]) was explored as well, where the R 2 -value was used to build a confidence level matrix as part of a generalized inverse-distance averaging scheme.…”
mentioning
confidence: 99%