library(data.table)
#library(climateExtract)
#library(ncdf4)
library(RNCEP)
Years=c(1950,2019)
LatWindow=c(41,52)
LongWindow=c(-6,9)
#TO DO "rhum.sig995","uwnd.sig995","vwnd.sig995"
point.UW=NCEP.gather("uwnd.sig995","surface"
,months.minmax=c(1,12)
,years.minmax=Years
,lat.southnorth=LatWindow, lon.westeast=LongWindow)
point.UWDT=as.data.table(point.UW)
point.VW=NCEP.gather("vwnd.sig995","surface"
,months.minmax=c(1,12)
,years.minmax=Years
,lat.southnorth=LatWindow, lon.westeast=LongWindow)
point.VWDT=as.data.table(point.VW)
point.TW=(point.UW^2+point.VW^2)^0.5
point.TWT=as.data.table(point.TW)
hist(point.TWT$value)
fwrite(point.TWT,"./VigieChiro/Weather/point_TWT.csv")
point.TM.NCEP=NCEP.gather("air.sig995","surface"
,months.minmax=c(1,12)
,years.minmax=Years
,lat.southnorth=LatWindow, lon.westeast=LongWindow)
point.TMT.NCEP=as.data.table(point.TM.NCEP)
fwrite(point.TMT.NCEP,"./VigieChiro/Weather/point_TNCEP.csv")
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