Meteo Services - weewx/weewx GitHub Wiki

Meteo-Services Institute Weather and Climateanalyses

https://stations.meteo-services.com

More than 20 years of experience in marine-, agrarian- and media- weather forecasting give us the ability to provide you with the most precise and applicable weather service and data base for your weather predictions.

In our independent data processing service center we run and calculate weather forecast models 4 (6) times a day. On base of the actual measurement values with more than 40.000 measurement stations worldwide our optimized numerical weather models (NMMB-Europe, NMMB-D, WRF-Europe, WRF-D, ETA-Europe, WW3) provide regional and local weather predictions worldwide.

If you are planning a trip, a tour, a sailing trip or other activities - detailed weather-forecasts will influence your planning.

Do you want to be sure of your plans so that your equipment and your choice are suitable to the weather? Meteo-Services provides weather forecasts and all relevant weather-data at a glance – sun, clouds, rain, snow, wind speed, wave forecasts and much more.

Actual more then 400 (Q4/2021) stations are working with our special-build receiver based on a raspberry pi receiving DAVIS Station signals directly. We also built solar powered stations with GSM and GPS receiving DAVIS Station data building an agriculture network and also a network for sailors here. Next step is going with LORA / LORAWLAN networks. Here we are in BETA-field tests.

The MeteoServices extension for weeWX will send data to our network. This extension allows weeWX to send data to the MeteoServices network.

The service is free. We use your weather data for model-control, development and climate-analyses / climate-predictions.

We give each registered station owner access to our professional network - PROFESSIONAL account at meteo-services.com where we run and show our own forecast models. How to get the PROFESSIONAL account? Please register your weatherstation and start sharing your data with us. Note your stationid. Sign up / Create a new account on meteo-services.com . Send us email ([email protected]) with your username and your stationid. We will check and set you´re new account to PROFESSIONAL for free when sharing your data with us.

The extension is available at:

* Minor Update 2022-01-21 - version 3.2 ( fixed variable and made changes for special winter service stations - 
  If you need more information about winter-service stations and partners please fell free and contact us. 
* Update 2021-04-09 - new version 3.1 (new parameters - t005m - Groundtemperature named as Temperature1) 
* works with Python3

Meteo-Services - Uploader - Extension

**ex: Winter-Service station: ** Neufahrn-Bauhof -> GERMAN language: https://stations.meteo-services.com/wetterstation/index.php?station_id=6915

**Meteo-Services - Uploader Extension **(python3)

Obtain an ID by registering a new station: REGISTER YOUR STATION HERE https://stations.meteo-services.com/login/

Existing stations - LOGIN ( still working on this part - not ready yet ) https://stations.meteo-services.com/login/login.php

-- HOW TO INSTALL - quick

a) Install Meteo-Services -uploader in "Batch-mode" with one line.

On raspberry / linux Systems open a terminal (ctrl+alt+F1) or SSH session and as the user 'pi’ run:

bash <(curl -sL https://stations.meteo-services.com/wxupdates/update-weewx.sh)

This installation-method works for Debian- and Python-installed weewx-systems with standard path.

(If you’re running the installation over SSH, running the installation through a screen or tmux session is highly recommended.) Assuming everything went well, your data will be sent to stations.meteo-services.com and the first dataset is visible after approx 5 or 10 minutes. You only have to enter your stationod - received by E-Mail

Find [StdRESTful] and add your station ID replace xxxxxxxxxx with the stationid send by E-mail [METEOSERVICES](/weewx/weewx/wiki/METEOSERVICES) stationid = xxxxxxxxxx password = 14991234912

b) manual install Meteo-Services - -uploader

Download

https://stations.meteo-services.com/wxupdates/Downloads/meteoservices-3.1.zip

Installation raspberry-pi or Linux

Login on your raspberry / Linux locally or remote . On raspberry try it as Standard-User „pi“.

This install describes a Debian based install.

If you´re on a python2 system please install package python-future at first ! ex. install for Linux/raspberry systems stretch / buster

sudo apt-get update sudo apt-get install python-future

If you´re on a **python3 system **please install package python3-future at first ! ex. install for Linux/raspberry systems stretch / buster

sudo apt-get update sudo apt-get install python3-future

  1. Fetch the Uploader ( using Terminal Window )

wget https://stations.meteo-services.com/wxupdates/Downloads/meteoservices-3.2.zip

  1. Install the update

sudo weectl extension install meteoservices-3.2.zip

  1. extend weewx.conf

Add here -> [StdRESTful] weewx.conf …

sudo nano /etc/weewx/weewx.conf

Find [StdRESTful] and add your station ID replace xxxxxxxxxx with the stationid send by E-mail

[METEOSERVICES](/weewx/weewx/wiki/METEOSERVICES) stationid = xxxxxxxxxx password = 14991234912

SAVE with CTRL-X

  1. Restart weewx ( Sometimes you have to restart twice )

sudo systemctl stop weewx sudo systemctl start weewx

  • Changelog - Milestones

  • We are able to provide a individual Station-Report - Existing stations are still connected. Every new station will automatically connected to a special local Station-Report.

  • Example Station-Report with LIVE WEATHER and LIVE_Prediction

  • STATION: Neufahrn / Freising - near Munich Airport (Germany/Bavaria) German and English Bulletin is available

  • https://stations.meteo-services.com/wetterstation/index.php?station_id=1

  • Jan/2022 - operative winter-service stations with road predictions, based on customized DAVIS stations and own sensors

  • Nov/2021 - special stations - winter services with road predictions

  • Apr/2021 - new parameter ExtraTemp1 uses as t005m - groundtemperature / fixed Display issue with rain rate

  • Mar/2021 - improving WebApp - new Template and JS

  • Feb/2021 - complete new graphics in stations-report - now all dynamic with js

  • Jan/2021 - adding new interactive graphics showing the measured values

  • Dec/2020 - adding new DB-Params for future use ... soil-params ... (air quality beta)

  • Nov/2020 - preparing Grasland with new interactive graphic

  • Oct/2020 - improving Archive

  • Sep/2020 - Archive - Functions new setup

  • Aug/2020 - Python3 - installer available with some bugfixes and additional params

  • Jul/2020 - all graphs switch to jpgraph-Library

  • Jun/2020 - building WebApp - responsive ready design

  • May/2020 - making stations site - responsive Layout

  • Apr/2020 - Adding Huglin-Index

  • Mar/2020 - adding corn-Index / (German: Maisreifeindex / Wäremsummen für Mais)

  • Feb/2020 - improving text forecasts - adding "fog-recognition with local measured data" (test)

  • Jan/2020 - abdingt GTS - GraslandTemperature Vegetation Start /agriculture) / (German: Grünlandtemperaturindex)

  • Dec/2019 - adding local text forecast (German-region) responding to local measured values and local models

  • Oct/2019 - adding switches metric / US mm/inch etc.

  • May/2019 - adding station measurements to WRF-Europe in testmode

  • Jan/2019 - adding first local forecasts

  • Dez/2018 - connect first data to local model forecasts / first Test with ETA

  • Sep/2018 - adding warnings

  • Jun/2018 - Version 1 - special station-report

  • Feb/2018 - some DB improvements - faster reading

  • Jan/2018 - adding Synop

  • Oct/2017 - adding Metar

  • Jun/2017 - first setup with own stations (10) experimental network for agriculture in Bavaria

  • Jun/2016 - first tests with 1 station - development of drivers