Codes for better mapping experience.
typhoons
Type Table, then Shift-Enter. Ctrl-space for more options.
viewof storm = Inputs.range([0, typhoons.length-1], {label: "Storm", step: 1,value:1094})
viewof table = Inputs.table(typhoons[storm].stormData)
table
Type Table, then Shift-Enter. Ctrl-space for more options.
typhoons = {
let e = []
let i = -1 // typhoon index
let date,dt
function parseDate (dateSlice){
console.log(dateSlice);
if(parseInt(dateSlice)>22){
console.log(1900+parseInt(dateSlice));
return dateSlice
}else{
console.log(2000+parseInt(dateSlice));
return 2000+parseInt(dateSlice)
}
}
entries.map(data => {
if (data.slice(0,5) =='66666') { // new typhoon entry Indicator
date = data.slice(64,64+8) // Date of the latest revision (year month day)
dt = Date.UTC(date.slice(0,4),date.slice(4,6),date.slice(6,8))
e.push({
IntID:data.slice(6,6+4), // <International number ID>
datapoints:+data.slice(12,12+3), // <Number of data lines>
cycloneNumber:data.slice(17,17+4), // <Tropical cyclone number ID>
IntID2:data.slice(21,21+4), // <International number ID>
LDL:data.slice(26,26+1), // Flag of the last data line 0:Dissipation 1:Going out of the responsible area of RSMC Tokyo-Typhoon Center
name:data.slice(30,30+20), // Name of the storm
lastRevision: new Date(dt), // Date of the latest revision (year month day) (not of typhoon)
stormData:[]
})
i++
} else
{ // typhoon data
date = data.slice(0,8)
dt = Date.UTC(parseDate(date.slice(0,2)) ,date.slice(2,4),date.slice(4,6),date.slice(6,8))
e[i].stormData.push({
time: new Date(dt), // <Time of analysis> yymmddhh (UTC)
indicator: data.slice(9,9+3), // <Indicator> '002'
grade: data.slice(13,13+1), // <Grade>
lat: data.slice(15,15+3), // <Latitude of the center> Unit : 0.1 degree 235 = 23.5
long: data.slice(19,19+4), // <Longitude of the center> Unit : 0.1 degree 1330 = 133.0
hPa: data.slice(24,24+4), // <Central pressure> Unit : hPa
windSpeed: data.slice(33,33+3), // <Maximum sustained wind speed> Unit : knot (kt)
dlr50: data.slice(41,41+1), // <Direction of the longest radius of 50kt winds or greater>
lr50: data.slice(42,42+4), // <The longest radius of 50kt winds or greater> Unit : nautical mile (nm)
sr50: data.slice(47,47+4), // <The shortest radius of 50kt winds or greater> Unit : nautical mile (nm)
dlr30: data.slice(52,52+1), // <Direction of the longest radius of 30kt winds or greater>
lr30: data.slice(53,53+4), // <The longest radius of 30kt winds or greater> Unit : nautical mile (nm)
sr30: data.slice(58,58+4), // <The shortest radius of 30kt winds or greater> Unit : nautical mile (nm)
landfall: data.slice(71,71+1) // <Indicator of landfall or passage>
})
}
})
return e
}
// Zip file from https://www.jma.go.jp/jma/jma-eng/jma-center/rsmc-hp-pub-eg/besttrack.html
bst_all = FileAttachment("bst_all.zip").zip()
// the text file with all the data
ds = bst_all.file('bst_all.txt').text()
// Split into lines and remove last entery as it's blank.
entries = ds.split('\r\n').slice(0,-1)
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