NOAA storms

Scott Chamberlain

2019-09-26

Get NOAA wind storm tabular data, metadata, or shp files from International Best Track Archive for Climate Stewardship (IBTrACS).

Find out more about NOAA storms data at http://www.ncdc.noaa.gov/ibtracs/index.php?name=numbering

Load rnoaa

library('rnoaa')
library('plyr')

Search for nx3tvs data from 5 May 2006 to 6 May 2006

swdi(dataset='nx3tvs', startdate='20060505', enddate='20060506')

Use an id

out <- swdi(dataset='warn', startdate='20060506', enddate='20060507', id=533623)
list(out$meta, head(out$data), head(out$shape))

Get all ‘plsr’ within the bounding box (-91,30,-90,31)

swdi(dataset='plsr', startdate='20060505', enddate='20060510', bbox=c(-91,30,-90,31))

Get all ‘nx3tvs’ within the tile -102.1/32.6 (-102.15,32.55,-102.25,32.65)

swdi(dataset='nx3tvs', startdate='20060506', enddate='20060507', tile=c(-102.12,32.62))

Counts

Notes:

Get daily count nx3tvs features on .1 degree grid centered at latitude = 32.7 and longitude = -102.0

swdi(dataset='nx3tvs', startdate='20060505', enddate='20090516', stat='tilesum:-102.0,32.7')

Get data in different formats

CSV format

SHP format

KMZ format