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A list of public weather stations everyone can edit and share.

Home Page: https://dev.meteostat.net

Python 97.76% JavaScript 2.24%
weather climate weather-stations data-science meteostat json

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weather-stations's Issues

Munich Airport Duplicate

Weather station at Munich Airport is registered twice on Meteostat under ID 10866 and D1262. We should join them together in a single station 10866.

gz file not found for {stationId}

Hi,

I tried to download some gz archive from bulk section, but the URL is not working.

For example, for this station:
{ "id": "15422", "name": { "en": "Bucharest / Filaret" }, "country": "RO", "region": "B", "identifiers": { "national": null, "wmo": "15422", "icao": null }, "location": { "latitude": 44.4167, "longitude": 26.0833, "elevation": 82 }, "timezone": "Europe/Bucharest", "inventory": { "model": { "start": "2021-01-01", "end": "2021-11-23" }, "hourly": { "start": "1979-08-08", "end": "2021-10-16" }, "daily": { "start": "1997-01-03", "end": "2021-10-16" }, "monthly": { "start": 1981, "end": 2021 }, "normals": { "start": 1961, "end": 1990 } } },

I tried this URL: https://bulk.meteostat.net/v2/normals/15422.csv.gz
which returns 404.

Is there anything I missed in documentation? I followed steps described here: https://dev.meteostat.net/bulk/normals.html#endpoint
However, I tried for some other stations and it was working, but with most of them the archives are missing.

Thanks!

Unnecessary line break characters in some files

"10728.json" contains "\n" in the "name[en]" value ("Mannheim\n / Coleman").
"71211.json" contains "\n" in the "timezone" value ("America/Vancouver\n").
These unnecessary line breaks may be troublesome in some cases.

about 200 finnish weather stations in one csv file

Dear developers,
I managed to scrape a csv file with accurate elevation, lat, lon information in csv format
of finnish meteorological institute stations (about 200).

Is there some easy way to get this info into meteostat or how could one proceed?
csv file attached:
fmiStations.csv

USCRN stations

It would appear that the USCRN stations are not in your database (or if they are I cannot identify them).

The various datasets are available from https://www.ncdc.noaa.gov/crn/qcdatasets.html with Monthly, Daily and Hourly present.

ftp://ftp.ncei.noaa.gov/pub/data/uscrn/products/monthly01
ftp://ftp.ncei.noaa.gov/pub/data/uscrn/products/daily01
ftp://ftp.ncei.noaa.gov/pub/data/uscrn/products/hourly02

Also available is 5Min data, but that would be an exception to include it.

ftp://ftp.ncei.noaa.gov/pub/data/uscrn/products/subhourly01

Richard

German Duplicates

@SiddharthKhatsuriya identified some stations which are marked as duplicates by our system. The affected stations and their respective duplicates are available here.

We'll need to investigate if (some of) these stations are indeed duplicates or not. New entries must be created for non-duplicates.

Station 72232 - Boothville - Duplicate WMO ID

I was looking for Baton Rouge historical normals, and noticed that KBTR (Baton Rouge Metro Ryan Field) has the WMO ID 72232. In Meteostat, this station is listed as Boothville, LA (ICAO: KBVE)

NOAA indicates that the WMO has an ID collision, and and Boothville used 72232 until March 2020:

72232

I wanted to ask if you are able to definitively confirm that Meteostat's 72232 is indeed Boothville, and if so, are we able to source and import KBTR station data? (I'd be happy to help)

Station 72314 Location

Station 72314 (Charlotte Douglas Int'l) is listed at (35.2167, -80.1167) (see here)

However, I believe it should be located at (35.214, -80.9431)[1]

The current coordinates are well to the east of Charlotte (~80km), I noticed this because I am unable to get historical normals for Charlotte, but the airport weather station has some data. I wanted to make sure I am not mistaken before submitting a PR. I am happy to submit corrections if this is correct (there are some other locations for which I am having the same issue, and I may be able to help correct those too).

Thanks!

[1] https://distancem.com/airports/airport-kclt

adding entries in bulk

I run an application for radiosonde ascents and need station data for this purpose

so far I've derived this from https://github.com/mhaberler/radiosonde-datacollector/blob/dev/station_list.txt which I curate manually - which is a chore

I consider switching to this repo as a source, however:

  • checking my station_list.txt against this repo I find 457 stations missing
  • of these, there are 31 stations which are in station_list.txt AND have active radiosonde ascents

would you consider a mass-import from station_list.txt for the missing stations?

if yes, I could switch and derive my station table from this repo

in that case I would derive the JSON fragments for the missing stations and do a PR

let me know

Michael

Meteostat forecast down ?

Dear Developers,
thanks for your great python api!

Is there any problem with the forecast api ?
We try to get a result with following code:

image

But it only works till 17.08.2021 08:00

Or are we doing something wrong ?

Best regards and many thanks

Meywether

differences between website and bulk data

Hi,
i tried to download the bulk data for my favorite station 10729 (Mannheim).
But the values in the file are not consistent. There are differences. I have found, that the data is "slipped" by one hour...

I have made an example in the excel-sheet...

10729 2022_11_13.xlsx

It is only a small "bug", but with this slip of one hour the daily and hourly data will get quite inconsistent...

greetings
Peter

METAR stations update cycle?

Hey,
I was just wondering why all METARS stations are stuck at the end of January...is this normal behaviour?
Any way to get bulk data for one of these stations without using model or interpolated data? If I try to download data for e.g. 16158 I get a CSV up to April, which is super confusing given that on the website it states that daily data are up to 21/01/2022.

Thanks

Station 65306.csv

It would appear that the first line of data in this csv file in the obs/monthly directory is corrupt.

,,27.9,0,46.1,,,169.6,6.7,,1010,
1949,8,,,,330,,,,,1013,
1949,9,,,,130,,,,,1013,
...

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