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adjust

adjustStage

New feature

adjust

adjustQ

New feature

adjust

adjustQUsingObservedInstantaneousDischarge

New feature

adjust

adjustQUsingMeanDailyDischarge

New feature

adjust

adjustTide

New feature

aggregation

instantaneous

aggregation

accumulative

aggregation

instantaneousToMean

aggregation

meanToMean

aggregation

seasonal

altitude

zero degree altitude

altitude

elevation lapse

conditional

multiple

This allows definition of multiple rule groups, combined with logical operators (from the current lookup module)

conversion

datum

(New feature) This includes an enumeration option called direction local/global

disaggregation

accumulative

disaggregation

instantaneous

disaggregation

meanToInstantaneous

disaggregation

meanToMean

disaggregation

weights

discharge stage

power

Uses the same coefficient sets as stage discharge power.

discharge stage

table

Uses the same coefficient sets (for table entries) as stage discharge table.

evaporation

penmanNorthEast

should be renamed to the specific type of penman equation

filter

moving window

contains options average/maximum/minimum

filter

block

contains options average/maximum/minimum

interpolation serial

block

interpolation serial

default

interpolation serial

extrapolate base

Extrapolates by adding future values that start at the last data value and linearly approach a given base value.

interpolation serial

extrapolate constant

Extrapolates by filling the gap between the start of the input time series and the first data value or by filling the gap between the last data value and the end of the input time series or by filling both of these gaps.

interpolation serial

extrapolate exponential

New feature: Extrapolates by adding future values that start at the last data value and exponentially approach a given base value.

interpolation serial

extrapolate persistence

Extrapolates by adding future values that start with the last moving average value and exponentially approach zero. This can be used together with the filterMoving average and userSimple transformations to reproduce the old originalAndPersistence and movingAverageAndPersistence transformations.

interpolation serial

extrapolate trend

Should contain option on how to extrapolate: persistence trend/running mean trend

interpolation serial

linear

interpolation spatial

average

interpolation spatial

bilinear

interpolation spatial

closest distance

interpolation spatial

kriging

interpolation spatial

sum

interpolation spatial

inputAverageTimesOutputArea

interpolation spatial

inverse distance

(Uses Fortran 90 code)

interpolation spatial

sum

interpolation spatial

triangulation

(Uses Fortran 90 code) Used to be called Renka & Cline

interpolation spatial

weighted

This is the old weighted average approach used for rainfall.

lookup

simple

should be called oneDimensional. From the current lookup module

lookup

twoDimensionalLookup

should be called twoDimensional. New feature

lookup

twoDimensionalTable

From the current lookup module

merge

simple

merge data hierarchy

merge

toggle

merge

mean

New feature

merge

synoptic

This needs a true false element to indicate if the smaller or the larger quantities prevail (new feature)

merge

forecasts

equivalent to sampleForecasts - this is a new feature.

moisture

soil moisture

unit test not yet available

moisture

optical depth

unit test not yet available

precipitation

rainfallEvent

writes median value of event (Enumeration of 2 to indicate where to write the data)

precipitation

rainfallEventLength

writes length of event (Enumeration of 2 to indicate where to write the data)

precipitation

tipping bucket

profile

timeSeries

Converts a profile to a time series.

profile

harmonics

Converts an input profile consisting of harmonic components (a Fourier series) to a time series.

review

stageReview

New feature

review

tidal balanceReview

New feature

sample

historical

sample

forecasts

This samples the first n values from a forecast - somewhat similar to the merge-forecast function

sample

equidistant

converts an equidistant series to another equidistant series or to a non-equidistant series

sample

non-equidistant

converts a non-equidistant series to another non-equidistant series or to an equidistant series

selection

peaks

selection

independent peaks

previously called selectWithinHorizontalgaps

selection

lows

selection

independent lows

selection

maximum

selection

minimum

stage discharge

power

Uses the same coefficient sets as discharge stage power.

stage discharge

power backwater

Backwater correction (new feature).

stage discharge

power unsteady

Unsteady flow (new feature).

stage discharge

parabolic

New feature

stage discharge

table

Uses the same coefficient sets (for table entries) as discharge stage table.

summaryStatistic statisticsSummary

sum, max, etc.

Input is one time series. Output is one value. All values in the input series within the transformation run period are used to get a statistic output value. This is in the old transformations the case for which isBlockFunction is false and no season is specified.

cyclicStatistic statisticsCyclic

sum, max, etc.

These are the seasonal stats - used to define e.g. mean monthly temp. This is e.g. used in climatology to get e.g. the mean temperature in January over the last 100 years. This is in the old transformations the case for which isBlockFunction is false, a season is specified and seasonal is false.

ensembleStatistic statisticsEnsemble

sum, max, etc.

Input is an ensemble with multiple time series. Output is one time series. Per time step the ensemble values for that time step are used to get a statistic output value.

spatialStatistic statisticsSpatial

sum, max, etc.

New feature. Input is a grid time series. Output is a scalar time series. Per time step all grid cell values for that time step are used to get a statistic output value.

locationChildrenStatistic statisticsChildrenLocations

sum, max, etc.

New feature. Input is multiple time series. Output is multiple time series. For each output series (with a parent location) the corresponding child locations are searched in the input series and used to get a statistic output value, per time step.

structure

general weir fixed height

structure

general weir variable height

structure

flatV weir

Enumeration to indicate simple or crest tapping

structure

flatV weir backwater

New feature

structure

crump weir

Enumeration to indicate simple or crest tapping

structure

crump weir backwater

New feature

structure

pumpFixedDischarge

structure

pumpHeadDischargeTable

structure

pumpSpeedDischargeTable

structure

pumpSpeedHeadDischargeTable

time shift

constant

time shift

variable

time shift

length

user

simple

free format expression

user

periodic

This can be used for periodic output - the range can be defined, e.g 0-1, 0-360 or 0-100