npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

node-knmi-fetch

v1.1.8

Published

Fetch data from the KNMI weather stations

Downloads

13

Readme

npm version Maintainability

node-knmi-fetch

Fetch data and parse it to JSON to use it in node.
Knmi docs about the API (Dutch).

Issues? Suggestions? Create an issue.

Table of contents

Installation

npm install node-knmi-fetch

Usage

const knmi = require('node-knmi-fetch')

// TypeScript

import * as knmi from 'node-knmi-fetch' 

Methods

knmi.days

knmi.days(stationCode, variables, timeSpan, inSeason)

Gets and returns daily average data from a knmi station.
Returns a Promise which resolves in an array of objects; one for each day.

stationCode
Number or string or an array of numbers or strings
The code of the station you want to get data from. Station codes can be found here.

variables
String or array of strings or null
The variables you want to get from the station. From the kmni docs (Dutch).
Null will return all available variables.

You can also specify a collection of variables using the following identifiers:

WIND = DDVEC:FG:FHX:FHX:FX wind
TEMP = TG:TN:TX:T10N temperature
SUNR = SQ:SP:Q Sunshine duration and global radiation
PRCP = DR:RH:EV24 precipitation and potential evaporation
PRES = PG:PGX:PGN pressure at sea level
VICL = VVN:VVX:NG visibility and clouds
MSTR = UG:UX:UN humidity
ALL  = All variables
Default is ALL.

You can also specify individual variables.

# YYYYMMDD = Date (YYYY=year MM=month DD=day); 
# DDVEC    = Vector mean wind direction in degrees (360=north, 90=east, 180=south, 270=west, 0=calm/variable); 
# FHVEC    = Vector mean windspeed (in 0.1 m/s); 
# FG       = Daily mean windspeed (in 0.1 m/s); 
# FHX      = Maximum hourly mean windspeed (in 0.1 m/s); 
# FHXH     = Hourly division in which FHX was measured; 
# FHN      = Minimum hourly mean windspeed (in 0.1 m/s); 
# FHNH     = Hourly division in which FHN was measured; 
# FXX      = Maximum wind gust (in 0.1 m/s); 
# FXXH     = Hourly division in which FXX was measured; 
# TG       = Daily mean temperature in (0.1 degrees Celsius); 
# TN       = Minimum temperature (in 0.1 degrees Celsius); 
# TNH      = Hourly division in which TN was measured; 
# TX       = Maximum temperature (in 0.1 degrees Celsius); 
# TXH      = Hourly division in which TX was measured; 
# T10N     = Minimum temperature at 10 cm above surface (in 0.1 degrees Celsius); 
# T10NH    = 6-hourly division in which T10N was measured; 6=0-6 UT, 12=6-12 UT, 18=12-18 UT, 24=18-24 UT
# SQ       = Sunshine duration (in 0.1 hour) calculated from global radiation (-1 for <0.05 hour); 
# SP       = Percentage of maximum potential sunshine duration; 
# Q        = Global radiation (in J/cm2); 
# DR       = Precipitation duration (in 0.1 hour); 
# RH       = Daily precipitation amount (in 0.1 mm) (-1 for <0.05 mm); 
# RHX      = Maximum hourly precipitation amount (in 0.1 mm) (-1 for <0.05 mm); 
# RHXH     = Hourly division in which RHX was measured; 
# EV24     = Potential evapotranspiration (Makkink) (in 0.1 mm); 
# PG       = Daily mean sea level pressure (in 0.1 hPa) calculated from 24 hourly values; 
# PX       = Maximum hourly sea level pressure (in 0.1 hPa); 
# PXH      = Hourly division in which PX was measured; 
# PN       = Minimum hourly sea level pressure (in 0.1 hPa); 
# PNH      = Hourly division in which PN was measured; 
# VVN      = Minimum visibility; 0: <100 m, 1:100-200 m, 2:200-300 m,..., 49:4900-5000 m, 50:5-6 km, 56:6-7 km, 57:7-8 km,..., 79:29-30 km, 80:30-35 km, 81:35-40 km,..., 89: >70 km)
# VVNH     = Hourly division in which VVN was measured; 
# VVX      = Maximum visibility; 0: <100 m, 1:100-200 m, 2:200-300 m,..., 49:4900-5000 m, 50:5-6 km, 56:6-7 km, 57:7-8 km,..., 79:29-30 km, 80:30-35 km, 81:35-40 km,..., 89: >70 km)
# VVXH     = Hourly division in which VVX was measured; 
# NG       = Mean daily cloud cover (in octants, 9=sky invisible); 
# UG       = Daily mean relative atmospheric humidity (in percents); 
# UX       = Maximum relative atmospheric humidity (in percents); 
# UXH      = Hourly division in which UX was measured; 
# UN       = Minimum relative atmospheric humidity (in percents); 
# UNH      = Hourly division in which UN was measured; 

timeSpan
object
Object with the keys start and end which contain strings in the following format: YYYYMMDD.
Start will default to the first day of the current month.
End will default to the current day, or the last day for which there is data.

Example:

{
  start: '20190128',
  end: '20191117'
}

inSeason
boolean
If true, timeSpan cannot be undefined. Data will be returned only for the days between start and end date for the given years.

Example:
Consider the following timeSpan:

{
  start: '20100401',
  end: '20190401'
}

If inSeason is true, this will return data for every first of april between 2010 and 2019.

Data format
Data will be returned in the following format:

[
    {
        "station": {
            "name": "DE BILT",
            "code": 260,
            "coordinates": {
                "lat": 52.1,
                "lng": 5.18
            },
            "altitude": 1.9
        },
        "data": [
            {
                "STN": "260",
                "YYYYMMDD": "20190114",
                "HH": "1",
                "DD": "310",
                "FH": "60",
                "FF": "70",
                "FX": "130"
            },
            {
                "STN": "260",
                "YYYYMMDD": "20190115",
                "HH": "1",
                "DD": "240",
                "FH": "30",
                "FF": "30",
                "FX": "50"
            },
            {
                "STN": "260",
                "YYYYMMDD": "20190116",
                "HH": "1",
                "DD": "230",
                "FH": "60",
                "FF": "60",
                "FX": "110"
            }
        ]
    }
]

knmi.hours

knmi.hours(stationCode, variables, timeSpan, inSeason)

Gets and returns daily average data from a knmi station.
Returns a Promise which resolves in an array of objects; one for each hour.

Works the same as the knmi.days() method, with 2 small differences.

variables
A different set of variables is available in this method.

You can also specify a collection of variables using the following identifiers:

WIND = DD:FH:FF:FX     Wind
TEMP = T:T10N:TD       Temperatuur
SUNR = SQ:Q            Zonneschijnduur en globale straling
PRCP = DR:RH           Neerslag en potentiële verdamping
VICL = VV:N:U          Zicht, bewolking en relatieve vochtigheid
WEER = M:R:S:O:Y:WW    Weerverschijnselen, weertypen
ALL alle variabelen

You can also specify individual variables.

# YYYYMMDD = datum (YYYY=jaar,MM=maand,DD=dag); 
# HH       = tijd (HH=uur, UT.12 UT=13 MET, 14 MEZT. Uurvak 05 loopt van 04.00 UT tot 5.00 UT; 
# DD       = Windrichting (in graden) gemiddeld over de laatste 10 minuten van het afgelopen uur (360=noord, 90=oost, 180=zuid, 270=west, 0=windstil 990=veranderlijk. Zie http://www.knmi.nl/kennis-en-datacentrum/achtergrond/klimatologische-brochures-en-boeken; 
# FH       = Uurgemiddelde windsnelheid (in 0.1 m/s). Zie http://www.knmi.nl/kennis-en-datacentrum/achtergrond/klimatologische-brochures-en-boeken; 
# FF       = Windsnelheid (in 0.1 m/s) gemiddeld over de laatste 10 minuten van het afgelopen uur; 
# FX       = Hoogste windstoot (in 0.1 m/s) over het afgelopen uurvak; 
# T        = Temperatuur (in 0.1 graden Celsius) op 1.50 m hoogte tijdens de waarneming; 
# T10N     = Minimumtemperatuur (in 0.1 graden Celsius) op 10 cm hoogte in de afgelopen 6 uur; 
# TD       = Dauwpuntstemperatuur (in 0.1 graden Celsius) op 1.50 m hoogte tijdens de waarneming; 
# SQ       = Duur van de zonneschijn (in 0.1 uren) per uurvak, berekend uit globale straling  (-1 for <0.05 uur); 
# Q        = Globale straling (in J/cm2) per uurvak; 
# DR       = Duur van de neerslag (in 0.1 uur) per uurvak; 
# RH       = Uursom van de neerslag (in 0.1 mm) (-1 voor <0.05 mm); 
# P        = Luchtdruk (in 0.1 hPa) herleid naar zeeniveau, tijdens de waarneming; 
# VV       = Horizontaal zicht tijdens de waarneming (0=minder dan 100m, 1=100-200m, 2=200-300m,..., 49=4900-5000m, 50=5-6km, 56=6-7km, 57=7-8km, ..., 79=29-30km, 80=30-35km, 81=35-40km,..., 89=meer dan 70km); 
# N        = Bewolking (bedekkingsgraad van de bovenlucht in achtsten), tijdens de waarneming 9=bovenlucht onzichtbaar); 
# U        = Relatieve vochtigheid (in procenten) op 1.50 m hoogte tijdens de waarneming; 
# WW       = Weercode (00-99), visueel(WW) of automatisch(WaWa) waargenomen, voor het actuele weer of het weer in het afgelopen uur. Zie http://bibliotheek.knmi.nl/scholierenpdf/weercodes_Nederland; 
# IX       = Weercode indicator voor de wijze van waarnemen op een bemand of automatisch station (1=bemand gebruikmakend van code uit visuele waarnemingen, 2,3=bemand en weggelaten (geen belangrijk weersverschijnsel, geen gegevens), 4=automatisch en opgenomen (gebruikmakend van code uit visuele waarnemingen), 5,6=automatisch en weggelaten (geen belangrijk weersverschijnsel, geen gegevens), 7=automatisch gebruikmakend van code uit automatische waarnemingen); 
# M        = Mist 0=niet voorgekomen, 1=wel voorgekomen in het voorgaande uur en/of tijdens de waarneming; 
# R        = Regen 0=niet voorgekomen, 1=wel voorgekomen in het voorgaande uur en/of tijdens de waarneming; 
# S        = Sneeuw 0=niet voorgekomen, 1=wel voorgekomen in het voorgaande uur en/of tijdens de waarneming; 
# O        = Onweer 0=niet voorgekomen, 1=wel voorgekomen in het voorgaande uur en/of tijdens de waarneming; 
# Y        = IJsvorming 0=niet voorgekomen, 1=wel voorgekomen in het voorgaande uur en/of tijdens de waarneming;

timeSpan
timeSpan expects a hour instead of a day. So instead of:

{
  start: '20100401',
  end: '20190401'
}

You need to pass in:

{
  start: '2010040101',
  end: '2019040112'
}

Data format
Data will be returned in the following format:

[
    {
        "station": {
            "name": "DE BILT",
            "code": 260,
            "coordinates": {
                "lat": 52.1,
                "lng": 5.18
            },
            "altitude": 1.9
        },
        "data": [
            {
                "STN": "260",
                "YYYYMMDD": "20190114",
                "HH": "1",
                "DD": "310",
                "FH": "60",
                "FF": "70",
                "FX": "130"
            },
            {
                "STN": "260",
                "YYYYMMDD": "20190115",
                "HH": "1",
                "DD": "240",
                "FH": "30",
                "FF": "30",
                "FX": "50"
            },
            {
                "STN": "260",
                "YYYYMMDD": "20190116",
                "HH": "1",
                "DD": "230",
                "FH": "60",
                "FF": "60",
                "FX": "110"
            }
        ]
    }
]