2f:Tac0,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), // datapoints:+data.slice(12,12+3), // cycloneNumber:data.slice(17,17+4), // IntID2:data.slice(21,21+4), // 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), // yymmddhh (UTC) indicator: data.slice(9,9+3), // '002' grade: data.slice(13,13+1), // lat: data.slice(15,15+3), // Unit : 0.1 degree 235 = 23.5 long: data.slice(19,19+4), // Unit : 0.1 degree 1330 = 133.0 hPa: data.slice(24,24+4), // Unit : hPa windSpeed: data.slice(33,33+3), // Unit : knot (kt) dlr50: data.slice(41,41+1), // lr50: data.slice(42,42+4), // Unit : nautical mile (nm) sr50: data.slice(47,47+4), // Unit : nautical mile (nm) dlr30: data.slice(52,52+1), // lr30: data.slice(53,53+4), // Unit : nautical mile (nm) sr30: data.slice(58,58+4), // Unit : nautical mile (nm) landfall: data.slice(71,71+1) // }) } }) return e }30:T1425,

1 Header Line for Each Tropical Cyclone

    5    10   15   20   25   30   35   40   45   50   55   60   65   70   75   80
::::+::::|::::+::::|::::+::::|::::+::::|::::+::::|::::+::::|::::+::::|::::+::::|
AAAAA BBBB  CCC DDDD EEEE F G HHHHHHHHHHHHHHHHHHHH              IIIIIIII


Sample:
66666 9119  150 0045 9119 0 6             MIRREILE              19920701

AAAAA    5 columns     <Indicator> '66666'
BBBB     4 columns     <International number ID> 
                          Last two digits of calendar year followed by 2-digit serial 
                          number ID of the storm of Tropical Storm (TS) intensity or 
                          greater
CCC      3 columns     <Number of data lines>
DDDD     4 columns     <Tropical cyclone number ID>
                          Serial number ID of the storm of intensity with maximum 
                          sustained wind speed of 28 kt (near gale) or  greater
EEEE     4 columns     <International number ID> Replicate BBBB
F        1 column      <Flag of the last data line> 
                          0 : Dissipation
                          1 : Going out of the responsible area of RSMC Tokyo-Typhoon Center
G        1 column      <Difference between the time of the last data and the time of 
                          the final analysis> Unit : hour
H...H   20 columns     <Name of the storm>
I...I    8 columns     <Date of the latest revision>

2 Data Lines

    5    10   15   20   25   30   35   40   45   50   55   60   65   70   75   80
::::+::::|::::+::::|::::+::::|::::+::::|::::+::::|::::+::::|::::+::::|::::+::::|
AAAAAAAA BBB C DDD EEEE FFFF     GGG     HIIII JJJJ KLLLL MMMM         P


Sample:
91092706 002 5 325 1293  935     095     30180 0140 30400 0260         #

A...A    8 columns     <Time of analysis> yymmddhh (UTC)
BBB      3 columns     <Indicator> '002'
C        1 column      <Grade> 1 : Not used
                                     2 : Tropical Depression (TD)
                                     3 : Tropical Storm (TS)
                                     4 : Severe Tropical Storm (STS)
                                     5 : Typhoon (TY)
                                     6 : Extra-tropical Cyclone (L)
                                     7 : Just entering into the responsible area of
                                         RSMC Tokyo-Typhoon Center
                                     8 : Not used
                                     9 : Tropical Cyclone of TS intensity or higher
DDD      3 columns     <Latitude of the center> Unit : 0.1 degree
EEEE     4 columns     <Longitude of the center> Unit : 0.1 degree
FFFF     4 columns     <Central pressure> Unit : hPa
GGG      3 columns     <Maximum sustained wind speed> Unit : knot (kt)
H        1 column      <Direction of the longest radius of 50kt winds or greater>
                          0 : No direction (Longest radius of 50kt winds is 0)
                          1 : Northeast (NE)
                          2 : East (E)
                          3 : Southeast (SE)
                          4 : South (S)
                          5 : Southwest (SW)
                          6 : West (W)
                          7 : Northwest (NW)
                          8 : North (N)
                          9 : (symmetric circle)
IIII     4 columns     <The longest radius of 50kt winds or greater>
                          Unit : nautical mile (nm)
JJJJ     4 columns     <The shortest radius of 50kt winds or greater>
                          Unit : nautical mile (nm)
K        1 column      <Direction of the longest radius of 30kt winds or greater>
                          0 : No direction (Longest radius of 30kt winds is 0)
                          1 : Northeast (NE)
                          2 : East (E)
                          3 : Southeast (SE)
                          4 : South (S)
                          5 : Southwest (SW)
                          6 : West (W)
                          7 : Northwest (NW)
                          8 : North (N)
                          9 : (symmetric circle)
LLLL     4 columns     <The longest radius of 30kt winds or greater>
                          Unit : nautical mile (nm)
MMMM     4 columns     <The shortest radius of 30kt winds or greater>
                          Unit : nautical mile (nm)
P        1 column      <Indicator of landfall or passage>
                          Landfall or passage over the Japanese islands occurred within 
                          one hour after the time of the analysis with this indicator.

(All data are recorded in the ASCII code.)

31:[{"id":"b141c558358fbfa44d9be7323046b1ccd1def601746612f724af0dc57318b65ae7a7e28dc99f7adab823b34f1d5553192ef4e9f7566d1e54dfe1199d2f7280c3","href":"https://static.observableusercontent.com/files/b141c558358fbfa44d9be7323046b1ccd1def601746612f724af0dc57318b65ae7a7e28dc99f7adab823b34f1d5553192ef4e9f7566d1e54dfe1199d2f7280c3","name":"bst_all.zip","type":"application/zip","lastModified":1669109501826.754,"size":742101}] 2d:{"title":"RSMC Tokyo - Typhoon Center dataset","cells":[{"id":6,"value":"# RSMC Tokyo - Typhoon Center dataset\n## 22/11/2022\n\nhttps://www.jma.go.jp/jma/jma-eng/jma-center/rsmc-hp-pub-eg/besttrack.html\n\nto import this JSON data into your notebook: \n\n```js\nimport {typhoons} from \"0a91455bf713c2ab\"\n```\n\n# Format of RSMC Best Track Data\n\nhttps://www.jma.go.jp/jma/jma-eng/jma-center/rsmc-hp-pub-eg/Besttracks/e_format_bst.html\n\n\nNote the date of the Typhoons is in the **_stormData_**\n","pinned":false,"hidden":false,"mode":"md"},{"id":9,"value":"typhoons","pinned":true,"hidden":false,"mode":"ojs"},{"id":10,"value":"viewof storm = Inputs.range([0, typhoons.length-1], {label: \"Storm\", step: 1,value:1094})","pinned":true,"hidden":false,"mode":"ojs"},{"id":11,"value":"viewof table = Inputs.table(typhoons[storm].stormData)","pinned":true,"hidden":false,"mode":"ojs"},{"id":12,"value":"table","pinned":true,"hidden":false,"mode":"ojs"},{"id":91,"value":"# This is the JSON data.","pinned":false,"hidden":false,"mode":"md"},{"id":13,"value":"$2f","pinned":true,"hidden":false,"mode":"ojs"},{"id":7,"value":"// Zip file from https://www.jma.go.jp/jma/jma-eng/jma-center/rsmc-hp-pub-eg/besttrack.html\nbst_all = FileAttachment(\"bst_all.zip\").zip()","pinned":true,"hidden":false,"mode":"ojs"},{"id":16,"value":"// the text file with all the data\nds = bst_all.file('bst_all.txt').text()","pinned":true,"hidden":false,"mode":"ojs"},{"id":8,"value":"// Split into lines and remove last entery as it's blank.\nentries = ds.split('\\r\\n').slice(0,-1)\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":115,"value":"# How the data is structured.","pinned":false,"hidden":false,"mode":"md"},{"id":20,"value":"$30","pinned":false,"hidden":false,"mode":"html"}],"files":"$W31","stdlib":"1","titling":"auto"}

1 Header Line for Each Tropical Cyclone

2 Data Lines