Available Parameters

Derived Weather Parameters & Convenience Parameters

This is an overview of all derived weather parameters and convenience Parameters. Below, each parameter is explained in more detail.

Weather Symbol | Weather Code | Visibility | Dew or Rime | Rainfall | Sleet | Snowfall | Fog | Frost Warning | Windchill | Slippery Road | Power Line Oscillation Warning | Bise Index | Foehn Index | Moehlin Jet Index | Santa Ana Wind Index | North Atlantic Oscillation Index | Southern Oscillation Index | Forest Fire Index by Kaese | Fosberg Fire Weather Index | Drought Index

 

General Weather State

 

Weather symbol

The weather symbol is the easiest way to query an overview of the weather state.

weather_symbol_1h:idx

Examples

Symbol Id (Day) Symbol Id (Night) Description
0 0 A weather code could not be determined
1 101 Clear sky
2 102 Light clouds
3 103 Partly cloudy
4 104 Cloudy
5 105 Rain
6 106 Rain and snow / sleet
7 107 Snow
8 108 Rain shower
9 109 Snow shower
10 110 Sleet shower
11 111 Light Fog
12 112 Dense fog
13 113 Freezing rain
14 114 Thunderstorms
15 115 Drizzle
16 116 Sandstorm

 

Weather Code

Weather code according to the present weather code 4677 of the international WMO Standard2 (mean for 1h, 3h, 6h, 12h, 24h)

weather_code_<interval>:idx

Weather symbol mean for 1h, 3h, 6h, 12h, 24h

Examples

 

Weather Text

This parameter provides an automated text snipped describing the general weather state of the queried day. It is currently available in English, German, French and Italian.

weather_text_de:str
weather_text_en:str
weather_text_fr:str
weather_text_it:str

Example

 

Visibility

This parameter returns the visibility in kilometers. You can expect foggy conditions if the visibility is less than about 1km.

visibility:km

Examples

 

Dew or Rime

This index gives you an idea whether dew or rime will occur. Dew or rime forms if the surface cools down quicker than the surrounding air, which causes condensation onto the surface at high relative humidities. Dew and rime are very sensitive to solar radiation and disappear quickly as the surface warms. Rime is the frozen version of dew.

0: neither dew nor rime, 1: dew, -1: rime

dew_or_rime:idx

Example

 

Rainfall

Check if there was any rain within the last 30 minutes or last hour.

0: no rain, 1: rain event

is_rain_<interval>:idx

Available intervals: 30min, 1h

Examples

 

Sleet

Check if there was any sleet within the last hour or last 30 minutes.

0: no sleet, 1: sleet event

is_sleet_<interval>:idx

Available intervals: 30min, 1h

Example

 

Snowfall

Check if there was any snowfall within the last hour or last 30 minutes.

0: no snowfall, 1: snowfall event

is_snow_<interval>:idx

Available intervals: 30min, 1h

Example

 

Fog

Check if there was any fog within the last hour or 30 minutes.

0: no fog, 1: fog event

is_fog_<interval>:idx

Available intervals: 30min, 1h

Example

 

Frost

The parameter indicates if there is any frost.

0: no frost, 1: frost is likely, 2: frost

frost_warning:idx

Examples

 

Windchill

Gives the wind chill in °C as defined by Wikipedia1 .

windchill:C

Examples

 

Slippery Road

Check if there is any chance for slippery roads within the given interval.

0: no slippery road conditions, 1: slippery roads possible

is_slippery_road_<interval>:idx

Available intervals: 1h, 3h, 6h, 12h, 24h

Examples

 

Power line oscillation warning

Precipitation in the form of freezing rain or wet snow can freeze onto overland power lines. With the increase in diameter and mass come a bigger air resistance and a lower resonance frequency. Strong wind over a sufficient amount of time could then excite the conductors to oscillate near their resonance frequency (sometimes referred to as gallop) and thereby damage the lines and masts.

A power line oscillation warning for the past 24 hours can be queried with the following parameter:

power_line_oscillation_24h:idx

The warning is binary with 1 corresponding to a warning and 0 to an all clear. Not taken into account are things like constructional details of the power lines or the Joule heat emitted by active power lines.

Example

 

Wind phenomena

 

Bise Index

This parameter computes an index to determine whether there is a bise or not and its strength. The bise is usually a cold wind from North-Easterly directions in the Lake Constance area which affects local weather conditions, including those of the Swiss Plateau. It is mainly triggered by a large scale air pressure difference between a low in the South-West of the Alps and a high on the northern side of the Alps. As a rule of thumb, if the pressure difference between Geneva and Constance is less that -2 hPa, bise conditions are expected.

bise_index:hPa

Example

 

Foehn Index

This parameter computes an index to determine the presence, strength, and direction of the Alpine Foehn. The Foehn is usually a strong, warm, dry wind crossing the Alps from the South-East to the North, but can also move in the the opposite direction. It mainly affects alpine valleys. Usually, it is triggered by large scale air pressure differences between a high in the South of the Alps and a low in the North-West of the Alps. As a rule of thumb, if the pressure difference between Lugano and Zurich is higher than 4 hPa, Foehn conditions are expected in the northern part of the Alps. If the pressure difference is less than -4 hPa, Foehn conditions are ecpected in the southern part of the Alps.

foehn_index:hPa

Example

 

Moehlin Jet Index

The Moehlin Jet is a south-easterly wind that originates from the Frick Valley and is responsible for dissolving fog in the region of Basel. This is the reason why sunshine duration there clearly exceeds the one of the Swiss midlands in fall. Favoring conditions are winterly high pressure situations over Switzerland, when the midlands act as a cold air pool. If the pool is full, the cold air masses spill over and follow gravity towards Moehlin, while the air is dried and heated on the way. The index takes values of 0 and 1, where 1 indicates the presence of a Moehlin Jet.

moehlin_jet:idx

Example

 

Santa Ana Wind Index

This parameter computes the presence and strength of the Santa Ana Winds in southern California. These are strong and extremely dry down-slope winds that originate from the desert and descend towards coastal areas. They develop if dry, cool high-pressure air masses are prevailing in the Great Basin and low pressure over the Pacific. Typically, these events occur in fall. Due to the extremely low relative humidities, such an event provides eligible conditions for wildfires. The index takes values in the range of 0 to 1. If the index exceeds 0.6, Santa Ana Winds can be expected.

santa_ana_wind:idx

Example

 

North Atlantic Oscillation Index

The North Atlantic Oscillation describes pressure fluctuations between the Icelandic low and the Azores high. This parameter is computed with the sea level pressures of Ponta Delgada on the Azores Islands and Reykjavík. A positive NAOI implies that increased westerlies are present, which result in cool and contrary weather conditions. If the NAOI is negative, then the westerlies are suppressed and blocking situations can occur, which are responsible for stable weather conditions. The index changes daily.

north_atlantic_oscillation:idx

Example

 

Southern Oscillation Index

The Southern Oscillation is the atmospheric contributor to El Niño. The oscillation describes a reversal of surface pressure over Indonesia and the eastern Pacific. This index is used as an indicator for the strength of the southern oscillation and to assess the relative strength of the trade winds. If the Index is positive, the pressure over Indonesia is higher than over the eastern Pacific. This situation is referred to as El Niño. If the index is negative, the pressure over the eastern Pacific is higher. This situation is then referred to as La Niña. If the index is equal to zero, then neutral conditions are prevailing. The index changes daily.

southern_oscillation:idx

Example

 

Forest Fire Risk Indices

 

Forest Fire Index by Käse

The Forest Fire Index according to Käse estimates the risk of forest fire on a daily basis. Each day's index is calculated using that from the previous day. It is only computed for days 46-274 of the year. Outside this range it is 0. The scale ranges from 1 to 5. A value of 1 indicates low risk, while a value of 5 indicates very high risk.

forest_fire_index_kaese:idx

Examples

 

Fosberg Fire Weather Index

The Fosberg fire weather index indicates the risk for bush/grass fire and ranges from 0 to 100 (continuous scale). The fire danger is evaluated according to the present weather without taking into account past weather conditions.

fosberg_fire_weather_index:idx

Examples

 

Drought Index

This index forecasts whether a certain location is under a drought or not. The percentiles of the deviation of the current time window from the mean of the past years is computed. The percentiles are then grouped into bins which gives the following output scale for the drought index:

Percentile 0-10 10-20 20-30 30-40 40-60 60-70 70-80 80-90 90-100
Index -4 -3 -2 -1 0 1 2 3 4
drought_index:idx

Examples

 

  1. Wikipedia Page of Wind Chill: https://en.wikipedia.org/wiki/Wind_chill

  2. WMO Weather Code Standard: https://badc.nerc.ac.uk/data/surface/code.html

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