2011
DOI: 10.1111/j.2041-210x.2011.00138.x
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RNCEP: global weather and climate data at your fingertips

Abstract: Summary1. Atmospheric conditions strongly influence ecological systems, and tools that simplify the access and processing of atmospheric data can greatly facilitate ecological research. 2. We have developed RNCEP, a package of functions in the open-source R language, to access, organise and visualise freely available atmospheric data from two long-term high-quality data sets with global coverage. 3. These functions retrieve data, via the Internet, for either a desired spatiotemporal extent or interpolated to a… Show more

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Cited by 218 publications
(225 citation statements)
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References 38 publications
(27 reference statements)
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“…The conversion of pressure values to altitude was performed solving the equation for the standard atmosphere [53]. Wind components were interpolated in space from the original 2.58 Â 2.58 grid using the inverse distance weighting method [52]. Interpolation in time occurred only for annotation at stopover arrival and departure time.…”
Section: (D) Wind Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…The conversion of pressure values to altitude was performed solving the equation for the standard atmosphere [53]. Wind components were interpolated in space from the original 2.58 Â 2.58 grid using the inverse distance weighting method [52]. Interpolation in time occurred only for annotation at stopover arrival and departure time.…”
Section: (D) Wind Analysismentioning
confidence: 99%
“…The stopover locations before the Sahara crossing and the migration trajectories across the Sahara were annotated with the wind field components from the National Centers for Environmental Prediction (NCEP) [50] using the software R v. 3.2.3 [51] and the package RNCEP 1.0.7 [52]. Since GLS data do not provide information on the swifts' flight altitude, we analysed winds at six of the available pressure levels in the NCEP database (i.e.…”
Section: (D) Wind Analysismentioning
confidence: 99%
“…Weather variables came from the National Centers for Environmental Prediction/National Center for Atmospheric Research Reanalysis II dataset [27]. We used the RNCEP package [28] We manually classified 5733 data points generated from 13 of these eagles into the four classes described in the methods (G, O, T and U). We identified golden eagle use of subsidized flight in 87% of data points.…”
mentioning
confidence: 99%
“…html (Kalnay et al 1996)). Wind data were obtained via the BRNCEP^R-package (Kemp et al 2012b) for four different pressure levels (1000 Bsurface^, 925, 850, and 700 mbar).…”
Section: Body Condition and Wind Conditionmentioning
confidence: 99%