Do not use calculations from this project for navigation, or depend on them in any situation where inaccuracies could result in harm to a person or property.
This project is very much in-progress, and even when it is finished, it is provided with no warantee of accuracy.
Tide predictions are only as good as the harmonics data available, and these can be inconsistent and vary widely based on the accuracy of the source data and local conditions.
The tide predictions do not factor events such as storms, surge, wind waves, uplift, or sadly, climate change.
# yarn
yarn install @neaps/tide-prediction
#npm
npm install --save @neaps/tide-prediction
Neaps requires that you provide your own tidal harmonics information to generate a prediction.
Because many constituent datum come with multiple phases (in the case of NOAA's data, they are phase_local
and phase_GMT
), there is a phaseKey
option for choosing which to use.
Note that, for now, Neaps will not do any timezone corrections. This means you need to pass date objects that align with whatever timezone the constituents are in.
import TidePrediction from '@neaps/tide-prediction'
const constituents = [
{
phase_GMT: 98.7,
phase_local: 313.7,
amplitude: 2.687,
name: 'M2',
speed: 28.984104
}
//....there are usually many, read the docs
]
const highLowTides = tidePrediction(constituents, {
phaseKey: 'phase_GMT'
}).getExtremesPrediction(new Date('2019-01-01'), new Date('2019-01-10'))
Calling tidePrediction
will generate a new tide prediction object. It accepts the following arguments:
constituents
- An array of constituent objectsoptions
- An object with one of:
phaseKey
- The name of the parameter within constituents that is considered the "phase"offset
- A value to add to all values predicted. This is useful if you want to, for example, offset tides by mean high water, etc.The returned tide prediction object has various methods. All of these return regular JavaScript objects.
getExtremesPrediction
Returns the predicted high and low tides between a start and end date.
const startDate = new Date()
const endDate = new Date(startDate + 3 * 24 * 60 * 60 * 1000)
const tides = tidePrediction(constituents).getExtremesPrediction({
start: startDate,
end: endDate,
labels: {
//optional human-readable labels
high: 'High tide',
low: 'Low tide'
}
})
If you want predictions for a subservient station, first set the reference station in the prediction, and pass the subservient station offests to the getExtremesPrediction
method:
const tides = tidePrediction(constituents).getExtremesPrediction({
start: startDate,
end: endDate,
offset: {
height_offset: {
high: 1,
low: 2
},
time_offset: {
high: 1,
low: 2
}
}
})
The getExtremesPrediction
accepts a single object with options:
start
- **Required ** - The date & time to start looking for high and low tidesend
- **Required ** - The date & time to stop looking for high and low tidestimeFidelity
- Number of seconds accurate the time should be, defaults to 10 minutes.labels
- An object to define the human-readable labels for the tides
high
- The human-readable label for high tideslow
- The human-readable label for low tidesoffset
- The offset values if these predictions are for a subservient stationHigh and low tides are returned as arrays of objects:
time
- A Javascript Date object of the timelevel
- The water levelhigh
- true if this is a high tide, false if notlow
- true if this is a low tide, false if notlabel
- The human-readable label (by default, 'High' or 'Low')getWaterLevelAtTime
Gives you the predicted water level at a specific time.
const waterLevel = tidePrediction(constituents).getWaterLevelAtTime({
time: new Date()
})
The getWaterLevelAtTime
accepts a single object of options:
time
- A Javascript date object of the time for the predictionA single object is returned with:
time
- A Javascript date objectlevel
- The predicted water levelTidal constituents should be an array of objects with at least:
name
- string - The NOAA constituent name, all upper-case.amplitude
- float - The constituent amplitude[phase]
- float - The phase of the constituent. Because several services provide different phase values, you can choose which one to use when building your tide prediction.[
{
name: '[constituent name]',
amplitude: 1.3,
phase: 1.33
},
{
name: '[constituent name 2]',
amplitude: 1.3,
phase: 1.33
}
]
Some stations do not have defined harmonic data, but do have published offets and a reference station. These include the offsets in time or amplitude of the high and low tides. Subservient station definitions are objects that include:
height_offset
- object - An object of height offets, in the same units as the reference station.
high
- float - The offset to be added to high tide (can be negative)low
- float - The offset to be added to low tide (can be negative)time_offset
- object - An object of time offets, in number of minutes
high
- float - The number of minutes to add to high tide times (can be negative)low
- float - The number of minutes to add to low tide times (can be negative){
height_offset: {
high: 1,
low: 2
},
time_offset: {
high: 1,
low: 2
}
}
All the really hard math is based on the excellent Xtide and pytides.