25 ModifierTypes

Contents

Schema

Introduction

A forecaster can modify a forecast with so-called Modifiers. Within FEWS there are two
types of modifiers: time series modifiers and parameter modifiers. Parameter modifiers can
modify a parameter of a model or of a transformation.

Time series modifiers modify a time series. The original time series is stored in the database.
However as soon as this time series is retrieved from the database the modifier will be applied to it.
But it is important to note that the original time series is always available in the database.

The modifiers.xml defines which modifiers are available within a fews configuration. The modifiers can be
created in the modifiers panel. TimeValue-modifiers can also be created in the plot display by graphicly
editing a time series or by changing

values in the table.

Time series modifiers

Single value modifiers

A single value modifier is a modifier which modifies only one value at one time step in a time series.
The forecaster can define a single value modifier in the modifier panel by selecting a date and a value.
The combination of the selected time and value is the definition of the single value modifier.

An example of the use of a single value modifier is the WECHNG-modifier of the NWS. This modifier sets the
snow water-equivalent for the date specified. The single value modifier is applied to an empty time series which holds
after the application of the modifier only the value of the modifier. This time series is used as an input time series
to the model. The model adapter reads the time series and knows that it has to change the snow water-equivalent for the
mod date to the specified value.

Display

The display for the single value modifiers is shown below.

The user can enter a value in the text box by entering a value and by clicking on the spinner box next to it.
The value can also be adjusted by the slider bar.
The date of the modifier can be selected in the area above which the forecaster can enter a value for the modifier.
The units of the modifier is shown at the right side of the slider bar.

schema

timeSeries

The tag timeseries is used to define to which timeseries this modifier can be applied.

softLimits

The slider in the display is bounded to the soft limits defined. However they can be overruled by entering a higher or lower value in the text box.

hardLimits

The values entered in the text box or the slider are bounded by the hard limits defined.

defaultTime

The default time of the modifier. Currently two options are available time zero and start run.

defaultValue

It is possible to assign a default value to a single value modifier.

The following options are available:

• default value
• derive a default value from a time series
• derive default value from a statistical function

When a default value is configured the modifier will always default to that value.
In case the second option is chosen than it is possible to define a timeseries-filter from which the default value should be derived.
The modifier will look for a value at the time for which the modifier is defined.
The last option allows the forecaster to configure a statistical function from which the value should be derived.
Currently only the principal component analysis-functions support this option.

When the principal component analysis is run in the plot display by selecting the principal component analysis-function the output value of this function will be default value for the modifier.

Configuration example

<singleValueModifier id="wechng" name="WECHNG">
	<timeSeries>
		<parameterId>WECHNG</parameterId>
	</timeSeries>
	<softLimits>
		<maximumValue>5</maximumValue>
		<minimumValue>0</minimumValue>
	</softLimits>
	<hardLimits>
		<minimumValue>0</minimumValue>
	</hardLimits>
	<defaultTime>start run</defaultTime>
	<defaultValue>0</defaultValue>
</singleValueModifier>

First the id and name of the modifier is declared. In this case this instance of the singeValueModifier will be identified by wechng.
The timeSeries-part identifies that this modifier can be applied to any time series which have the parameter WECHNG.
The modifier has soft limits configured. These limits are used to limit the slider bar in the display.
In this example the slider bar will start at 0 and end at 5. But these soft limits can be overruled by
manually typing a value lower than zero or higher than 5.
The hardLimits identify the upper and lower limit of the mod and they can not be overruled.
This means that for this mod only the maximum value of the soft limit of 5 can be overruled because there
is a minimum value configured in the hard limits of 0. A single value modifier is only applied at one time step.
By default the time step is set to the start of the run in this modifier. The default value is set to 0.

Constant value modifiers

Constant value modifiers are very similar to single value modifiers. But instead of modifying a single value at a
particular point in time, they modify a time series over a period of time with a fixed value.

An example of the use of the constant value modifier is the MFC-modifier. This modifier adjusts the melt factor of the
snow17-model over the specified period of time with the specified value. It is (just as the WECHNG-modifier) applied to an
empty time series and used as an input time series to the snow17-model.

Display

Below the display of a constant value modifier is shown. Which is very similar to the display of single value modifier.
Note however that this modifier has a start and an end time. The constant value of the modifier can be specified in the
text box or with the slider. The period can be defined by using the start and end date boxes.

Schema

Below the schema of the constant value modifier.

timeseries

The user can define a timeseries filter in this tag to define to which time series the modifier can be applied.

softLimits

The slider in the display is bounded to the soft limits defined. However they can be overruled by entering a higher or lower value in the text box.

hardLimits

The values entered in the text box or the slider are bounded by the hard limits defined.

defaultstarttime

The default start time of the modifier can be defined here.

Possible options are:

• startrun
• time zero

defaultendtime

The default end time of the modifier can be defined here.

Possible options are:

• time zero
• end run

defaultvalue

A default value can be defined here.

Configuration example

Below an example configuration of a constant value modifer is shown.

<constantValueModifier id="mfc" name="MFC">
	<timeSeries>
		<parameterId>MFC</parameterId>
	</timeSeries>
	<softLimits>
		<maximumValue>10</maximumValue>
		<minimumValue>0</minimumValue>
	</softLimits>
	<defaultStartTime>start run</defaultStartTime>
	<defaultEndTime>end run</defaultEndTime>
	<defaultValue>1</defaultValue>
</constantValueModifier>

This id of this instance of the constant value modifier is mfc and its name is MFC. It will only be applied to time series
which have the parameterid MFC because a timeseries-filter with parameterid MFC is defined.

No hardlimits are defined but the softLimits are set to a range of 0-10. The slider will have a range of 0 till 10.
But they can be overruled with entering a higher value in the text box.

Enumeration modifiers

Enumeration modifiers are modifiers in which the user can select an option from a dropdown-list. This is modifier is applied to an period
of time.

An example of the use of the eneration modifier is the rain snow modifier from the NWS. In this modifier the forecaster can determine
the precipitation in the snow17-model. Only two options are available rain and snow. If the forecaster chooses option rain than
a value of 1 is set into the timeseries, if an option snow is chosen than the value 2 is set into the timeseries at the specified time.
The modifier is applied to an empty time series and used an input to the model. The model knows that if value 1 is set into the
timeseries that the user has chosen option rain and that if value is 2 that option snow was choosen.

Display

Below an example of the display for an enumeration modifier.

Schema

timeseries

The user can define a timeseries filter in this tag.

descriptionEnumeration

Define the text value in the display which is shown before the dropdown list

enumeration

Define the list of options available in the dropdownlist and its associated value which will be placed into
the time series.

defaultstarttime

The default start time of the modifier can be defined here.

Possible options are:

• startrun
• time zero

defaultendtime

The default end time of the modifier can be defined here.

Possible options are:

• time zero
• end run

Configuration example

Below is an example of the configuration of an enumeration modifier.

<enumerationModifier id="rainsnow" name="RAINSNOW">
	<timeSeries>
		<parameterId>RAINSNOW</parameterId>
	</timeSeries>
	<descriptionEnumeration>choose precipitation:</descriptionEnumeration>
	<enumeration>
		<item text="rain" value="1"/>
		<item text="snow" value="2"/>
	</enumeration>
	<defaultStartTime>start run</defaultStartTime>
	<defaultEndTime>end run</defaultEndTime>
</enumerationModifier>

This modifier is applied to every time series which has parameter id RAINSNOW because a filter is defined with only the parameterId RAINSNOW.

The text of the label in front of the dropdownlist is configurable. The items in the dropdownlist are also configurable. For this modifier the forecaster can choose between options rain and snow. If snow is selected a value of 2 in set into the time series for the selected period.
If rain is selected a value of 1 is written into the time series.
The numbers are treated as flags by the model to which the time series is passed.

Time series modifier

The time series modifier is a modifier which allows the forecaster to edit a timeseries by selecting points in a graph or by
changing values in a modifier. In most applications of this modifier the forecaster is directly editing a time series which is used
by the models. For example it might be used to directly edit the precipitation. This is contrary to how for example the single value modifier
WECHNG is used. This modifier edits an empty time series which is than read by the snow17-model which modifies its state based on the input from
this modifier. A time series modifier always has a start- and enddate. Optionally (if configured) a valid time is available.

The forecaster can edit this time series by making changes in table or in the graph. The changes in the graph are made by clicking in the graph.
When the user clicks from left to right then the values between the points are interpolated.
When the user clicks from right to left only the newly added or changed points are adjusted but no interpolation will be done between
the last two points. When more than one time series is shown in the display it is possible to make a selection of which time series should edited when making changes by clicking in the graph.
The time series which should be changed can be selected by clicking on the legend of that example time series in the graph

Besides editing the time series by editing values in the graph or table another type can be selected by the dropdownbox.

Available options are:

• add
• substract
• mulitply
• divide
• replace
• missing
• ignore time series
• time series

When one of the options add, substract, mulitply, divide or replace is choosen than a text box in which a value can be entered appears next to the operation type-dropdownbox.
The options add, substract, mulitply, divide or replace are self-explaining. They add,substract, multiply,divide or replace the timeseries with the specified value over the specified period of time.

The option missing replaces the values in the time series with missing values over the specified period of time, the ignore time series sets the value over the specified period of time to unreliable.

The last option time series is the default option which will selected after startup of this modifier and this option allows the forecaster to freely edit the timeseries.

An example of the use of the time series modifier is the ROCHNG-modifier which is used by NWS to modify the runoff time series.

Display

Below a screenshot of the timeseries modifier.

Schema

Below the schema of the timeseries modifier.

timeSeries

This tag can be used to identify to which timeseries this modifier can be applied.

defaultStartTime
The default start time of the modifier. The available options are startrun and time zero.

offsetDefaultStartTime
The offset start time compared to the option defined in defaultStartTime. For example when an offset of 1 day is configured
in this option and the defaultStartTime is set to timezero than the default starttime of the modifier will be set to
time zero plus 1 day.

defaultEndTime
The default end time of the modifier. The available options are time zero and end run.

offsetDefaultEndTime
The offset of the end time compared to the option defined in defaultEndTime.

defaultValidTime
If this option is configured than a valid time can be choosen for this modifier. The valid time always default to time zero.

resolveInWorkflow
In the tag timeSeries is a filter defined which defines which timeseries can be modified with this timeseries. If the tag
resolveInWorkflow is set than the modifier can be applied to all timeseries in the current workflow to which the defined time
series filter applies. In an IFD-environment the current workflow is the workflow which is associated to the selected topology
node.

resolveInPlots
This tag can only be used in IFD-environments. If this tag is enabled than the timeseries-filter is also applied to all timseries
in the plots associated with the current selected topologynode.

editInPlots
It is possible to create a timeseries modifier in the plot displays. This can be done by selecting a timeseries by selecting a legend.
After selection the timeseries can be modified by graphicly editing the timeseries or by changing values in the graph. This feature can
be disabled by setting this option to false.

createContinousModifiers
If a modifier is created in the graph by default one modifier will be created. However if this option is disabled one modifier will
be created for every continious range of modifications made. For example if the forecaster changes a 6 hours timeseries at 00z and at 12z
but not a 0600z than by default this will result in creating a single modifier, but when this option is enabled two modifiers will be
created. One for each continious range of changes. In this case there is a change at 00z and one at 12z therefore two modifiers will
be created.

Configuration example

Below an example of how a time series modifier should be configured.

<timeSeriesModifier id="rochng" name="ROCHNG">
	<timeSeries>
<moduleInstanceSetId>SACSMA_Forecast</moduleInstanceSetId>
		<valueType>scalar</valueType>
		<parameterId>INFW</parameterId>
		<locationSetId>Gages_Catchments</locationSetId>
		<timeSeriesType>simulated forecasting</timeSeriesType>
		<timeStep unit="hour" multiplier="6"/>
            		<ensembleId>QPF</ensembleId>
</timeSeries>
	<defaultStartTime>start run</defaultStartTime>
	<defaultEndTime>end run</defaultEndTime>
	<resolveInWorkflow>true</resolveInWorkflow>
	<resolveInPlots>false</resolveInPlots>
</timeSeriesModifier>

This modifier can be applied to the time series identified in tag timeseries.
The modifier will have a start time equal to the start of the run and will end at the end of the run.
The option resolveInWorkflow is set to true and the option resolveInPlots is set to false.
This means that the IFD will search for time series which might be modified in the workflow of the selected
node but it will not search in the time series which are displayed in the plots for this node.

Mark unreliable modifier

This modifier sets all the values in a time series to unreliable over a period so the data will not
be used in the models, but the original values will be displayed.
The display is very similar to the display used for the timeseries modifier however the dropdownbox is disabled
and the option ignore timeseries is enabled.
The forecaster can only edit the start and end dates of the period in which the time series will be set to invalid.
In the Modifiers Display table the unreliable values in the modified time series are marked yellow.

An example of the use of this modifier is the modifier IGNORETS. This modifier is used by the NWS
to arrange that the the model RESSNGL or the tranformation AdjustQ ingores certain types of data.
By setting the correct filter in configuration only certain input time series of ressngl or adjustQ
can be ignored by using the modifier.

Display

Below an example of the display of the mark unreliable modifier.

Schema

timeSeries
This tag can be used to identify which timeseries this modifier can be applied.

defaultstarttime

The default start time of the modifier can be defined here.

Possible options are:

• startrun
• time zero

defaultendtime

The default end time of the modifier can be defined here.

Possible options are:

• time zero
• end run

Configuration example

Below an configuration example of this type of modifier

<markUnreliableModifier id="ignorets" name="IGNORETS">
	<timeSeries>
		<moduleInstanceSetId>RESSNGL_Forecast</moduleInstanceSetId>
		<valueType>scalar</valueType>
		<parameterId>PELV</parameterId>
		<locationSetId>Reservoirs</locationSetId>
		<timeSeriesType>simulated forecasting</timeSeriesType>
		<timeStep unit="hour" multiplier="1"/>
	</timeSeries>
	<defaultStartTime>start run</defaultStartTime>
	<defaultEndTime>end run</defaultEndTime>
</markUnreliableModifier>

Compound modifier

The compound modifier can be used to modify a set of time series with slider bars. Each slider shows a reference
value in blue. If no modification is made the value of the slider will be equal to the reference value. If a modification
is made the slider will always be equal to the value of the modifier. Too indicate that a modification was made the text box
will be made yellow.

An example of the use of the compound modifier is the sacco-modifier. This modifier is used to modify the state of the Sacramento-model.
Each slider represents a stateparameter. In blue the current value is shown, the slider is equal to current value of the model or if the
stateparameter is changed it will be equal to the modification.

Display

Below an example of the display of this modifier.

Schema

slider
For each slider the time series which holds the reference values should be configured, and the time series which should contain the modified value should be configured. Each slider also has maximum value. This maximum is retrieved from the module parameter file of the model. The tag maximumAllowedValueParameterId identifies which parameter should be used to identify the maximum.

current time series
This time series holds the current value of the model and will be used to determine the value of the blue reference value.

modified time series
If a parameter is changed the modifier will be applied to this time series

maximumAllowedParameterId
The maximum of the slider can be derived from the moduleparameterfile by identifying the parameterId which holds the value
of the maximum

hardLimits
It also possible to define the minimum and maximum of the modififications by hard coding them in the configuration.

defaultTime
Default of modifier date. Possible options are startrun and time zero.

Configuration example

Below an example of the configuration of a compound modifier. In this example a part of the sacco configuration is not shown but only the configuration of one of the five sliders is shown.

<compoundModifier id="sacco" name="SACCO">
		<slider>
			<currentTimeSeries>
				<moduleInstanceSetId>SACSMA_Forecast</moduleInstanceSetId>
				<valueType>scalar</valueType>
				<parameterId>UZTWC</parameterId>
				<locationSetId>Gages_Catchments</locationSetId>
				<timeSeriesType>simulated forecasting</timeSeriesType>
				<timeStep unit="hour" multiplier="6"/>
			</currentTimeSeries>
			<modifiedTimeSeries>
				<moduleInstanceId>ExportMODS</moduleInstanceId>
				<valueType>scalar</valueType>
				<parameterId>UZTWC</parameterId>
				<locationSetId>Gages_Catchments</locationSetId>
				<timeSeriesType>external historical</timeSeriesType>
				<timeStep unit="nonequidistant"/>
			</modifiedTimeSeries>
			<maximumAllowedValueParameterId>UZTWM</maximumAllowedValueParameterId>
		</slider>
		<defaultTime>start run</defaultTime>
	</compoundModifier>

Missing value modifier

The missing value modifier can be used to set the values in a time series to missing over a period of time. The user can only define the period of time over which this modifier is active.

The panel which is used for this modifier is very similar to the panel of the time series modifier.

The dropdowbox however which is used to select an operation type is disabled and set to the type Missing.

An example of the use of this modifier is the SETMSNG-modifier which is used by the NWS. To set the value of certain time series
to missing this modifier is used.

Display

An example of the missing value modifier is shown below.

Schema

Below an example of the configuration of a missing value modifier.

<missingValueModifier id="setmsng" name="SETMSNG">
        <timeSeries>
            <parameterId>QIN</parameterId>    
        </timeSeries>
        <defaultStartTime>start run</defaultStartTime>
        <offsetDefaultStartTime unit="day" multiplier="1"/>
        <defaultEndTime>time zero</defaultEndTime>
        <offsetDefaultEndTime unit="day" multiplier="100"/>
        <expiryTime unit="day" multiplier="100"/>
        <resolveInWorkflow>false</resolveInWorkflow>
        <resolveInPlots>true</resolveInPlots>
</missingValueModifier>

This missing value modifier can only be applied to time series which have the parameterid QIN because the tag timeseries defines a timeseries-filter with parameterId QIN.

When a missing value modifier is created from the modifiers panel by default the start time of the modifier will be equal to the start of the run plus 1 day.

The end of the modifier will default to time zero plus 100 days.

The tag resolveInWorkflow is set to false and the resolveInPlots tag is set to true which means that the modifier can be applied to all time series in the plots of the node, but will not be applied to the time series identified in the workflow of the node. In this example there are no time series defined to which this modifier should be applied. This means it can applied to all time series which are defined in the plots of a node.

Switch option modifier

This modifier allows the forecaster to generate several linked time series. This modifier is currently used to set regulation options for a basin. For each regulation option a time series should be identified. There are two types of time series which can be configured, time series in which the forecaster can enter any value and time series which can only contain a 1 when the option is switched on.
Below an example of the display of a switch option modifier.

For each data at a model time step one of the options can be selected by the radio-button-field. In the value field the forecaster can enter a value or if the option is only a switch on option, the value field is blocked. The add-icon automatically adds a new entry to the table. By default the new entry will have the data of the current row plus one model time step. The delete-icon deletes all the selected rows. The entries are allways in sequence.
Below an example of a switch option modifier. For each regulation option available in the display a time series should be defined. The parameterid of the configured time series will be used as the name of the regulation option in the column regulation.

<switchOptionModifier id="ssarreg" name="ssarreg">
	        <timeValueTimeSeries>
	            <moduleInstanceId>ExportMODS</moduleInstanceId>
	            <valueType>scalar</valueType>
	            <parameterId>SETH</parameterId>
	            <qualifierId>US</qualifierId>
	            <locationSetId>ImportIHFSDB</locationSetId>
	            <timeSeriesType>external forecasting</timeSeriesType>
	            <timeStep unit="nonequidistant"/>
	            <ensembleId>main</ensembleId>
	        </timeValueTimeSeries>
	        <timeValueTimeSeries>
	            <moduleInstanceId>ExportMODS</moduleInstanceId>
	            <valueType>scalar</valueType>
	            <parameterId>SETQ</parameterId>
	            <qualifierId>US</qualifierId>
	            <locationSetId>ImportIHFSDB</locationSetId>
	            <timeSeriesType>external forecasting</timeSeriesType>
	            <timeStep unit="nonequidistant"/>
	            <ensembleId>main</ensembleId>
	        </timeValueTimeSeries>
	        <timeValueTimeSeries>
	            <moduleInstanceId>ExportMODS</moduleInstanceId>
	            <valueType>scalar</valueType>
	            <parameterId>SETS</parameterId>
	            <qualifierId>US</qualifierId>
	            <locationSetId>ImportIHFSDB</locationSetId>
	            <timeSeriesType>external forecasting</timeSeriesType>
	            <timeStep unit="nonequidistant"/>
	            <ensembleId>main</ensembleId>
	        </timeValueTimeSeries>
	        <timeValueTimeSeries>
	            <moduleInstanceId>ExportMODS</moduleInstanceId>
	            <valueType>scalar</valueType>
	            <parameterId>SETDH</parameterId>
	            <qualifierId>US</qualifierId>
	            <locationSetId>ImportIHFSDB</locationSetId>
	            <timeSeriesType>external forecasting</timeSeriesType>
	            <timeStep unit="nonequidistant"/>
	            <ensembleId>main</ensembleId>
	        </timeValueTimeSeries>
	        <timeValueTimeSeries>
	            <moduleInstanceId>ExportMODS</moduleInstanceId>
	            <valueType>scalar</valueType>
	            <parameterId>SETDQ</parameterId>
	            <qualifierId>US</qualifierId>
	            <locationSetId>ImportIHFSDB</locationSetId>
	            <timeSeriesType>external forecasting</timeSeriesType>
	            <timeStep unit="nonequidistant"/>
	            <ensembleId>main</ensembleId>
	        </timeValueTimeSeries>
	        <booleanTimeSeries>
	            <moduleInstanceId>ExportMODS</moduleInstanceId>
	            <valueType>scalar</valueType>
	            <parameterId>FREEFLOW</parameterId>
	            <qualifierId>US</qualifierId>
	            <locationSetId>ImportIHFSDB</locationSetId>
	            <timeSeriesType>external forecasting</timeSeriesType>
	            <timeStep unit="nonequidistant"/>
	            <ensembleId>main</ensembleId>
	        </booleanTimeSeries>
	        <timeValueTimeSeries>
	            <moduleInstanceId>ExportMODS</moduleInstanceId>
	            <valueType>scalar</valueType>
	            <parameterId>SETDS</parameterId>
	            <qualifierId>US</qualifierId>
	            <locationSetId>ImportIHFSDB</locationSetId>
	            <timeSeriesType>external forecasting</timeSeriesType>
	            <timeStep unit="nonequidistant"/>
	            <ensembleId>main</ensembleId>
	        </timeValueTimeSeries>
	        <startTime>start run</startTime>
	     <effectiveDate></effectiveDate>
    </switchOptionModifier>

Module parameter modifiers

Blending steps modifier

One of the parameters of the adjustQ-transformation is the blending steps. This parameter determines in how many steps the blend from the observed time series to the simulated time series is done. Below is an example of a blending steps modifier. The forecaster can enter the value in the text box and/or change it with the up and down arrows next to the text box.

Below an example of the configuration an adjustQModifier. The only thing the configurator has to configure is the id of the modifier and its name.

<adjustQModifiers>
	<blendingStepsModifier id="chgblend" name="chgblend"></blendingStepsModifier>
</adjustQModifiers>

Sample years modifier

The transformation sample historic creates ensembles based on historic time series. This modifier enables the forecaster to change the start year and the end year of the historic time series to sample.
Below an example of the display of this modifier.

The forecaster can modifiy the default sample years by changing the start year and end year in the display.
Below an example of the configuration of this modifier.

Module parameter modifier

<sampleHistoricalModifiers>
	<sampleYearsModifier id="historicwateryears" name="historicwateryears"></sampleYearsModifier>
</sampleHistoricalModifiers>

The module parameter is a generic modifier which can be used to edit any type of module parameter file. Below an example of the display of a module parameter modifier. In this example only one parameter can be modified.


Below an example of the configuration of a module parameter modifier. With the tag filter can be identified which module parameter files can be modified. In the example below every module parameter file with the tag CONSTANT_BASE_FLOW can be modified. The filter is also used to filter which part of the module parameter file can be modified. In the example below only the module parameters with id CONSTANT_BASE_FLOW are shown in the modifiers display and are editable.

<moduleParameterModifier id="baseflow" name="BASEFLOW">
    	<filter>
    		<moduleParameterId>CONSTANT_BASE_FLOW</moduleParameterId>
    	</filter>
    	<defaultValidTime/>
    </moduleParameterModifier>

Change ordinates modifier

This modifier can be used to change the ordinates of the module parameter file of the unit Hydrograph-model. Below an example of the display of this modifier. The ordinates can be changed in the table or in the graph. When the user presses the apply button the ordinates are adjusted by using a volume-correction. The volume correcton will ensure that the volume without the modifier applied is the same as the volume of unit hydrograph after the modifier is applied.

Below an example of the configuration of this modifier.

<unitHydrographModifiers>
    	<changeOrdinatesModifier id="unithg" name="UNITHG">
    		<defaultStartTime>start run</defaultStartTime>
    		<defaultEndTime>end run</defaultEndTime>
    		<defaultValidTime/>
    	</changeOrdinatesModifier>
</unitHydrographModifiers>

Reverse order modifiers

This modifier can be used to reverse the data hierarchy of the merge simple transformation. When this modifier is active on the transformation the data hierachy is reversed. Below an example of the display of this modifier. This display is blank, the forecaster can only enter a period in which this modifier is active.

Below a configuration example.

<mergeSimpleModifiers>
	<reverseOrderModifiers id="switchTs" name="SWITCHTS">
		<defaultStartTime>start run</defaultStartTime>
		<defaultEndTime>time zero</defaultEndTime>
	</reverseOrderModifiers>
</mergeSimpleModifiers>