NetCdfFileUtil

Type Members

final class Create extends OutDim
final case class Keep(name: String) extends OutDim with Product with Serializable
sealed trait OutDim extends AnyRef

Value Members

final def !=(arg0: Any): Boolean

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final def ##(): Int

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final def ==(arg0: Any): Boolean

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object Create
object OutDim
def anomalies(in: NetcdfFile, out: File, varName: String, timeName: String = "time", windowYears: Int = 30, useMedian: Boolean = false): Processor[Unit] with Prepared

Calculates anomalies of a time series.
Calculates anomalies of a time series. It assumes that the time resolution in the input is months! The output will have a matrix of the same size as the input, where each cell is the difference between the input cell and the normal value for that cell at that time.
in
the input file to process
out
the output file to create
varName
the variable to process
timeName
the time dimension in the variable
windowYears
the number of years to average across
final def asInstanceOf[T0]: T0

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Any
def clone(): AnyRef

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protected[java.lang]
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@throws( ... )
def concat(in1: NetcdfFile, in2: NetcdfFile, out: File, varName: String, dimName: String = "time"): Processor[Unit] with Prepared

Creates a new NetCDF file that contains one variable resulting from the concatenation of that variable present in two input files.
Creates a new NetCDF file that contains one variable resulting from the concatenation of that variable present in two input files.
in1
the first input file (data will appear first)
in2
the second input file (data will appear second)
out
the output file to write to
varName
the name of the variable to take from the inputs and concatenate
dimName
the dimension along which to the variable is split across the two inputs
def concatAndWait(in1: NetcdfFile, in2: NetcdfFile, out: File, varName: String, dimName: String = "time"): Unit
final def eq(arg0: AnyRef): Boolean

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def equals(arg0: Any): Boolean

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def finalize(): Unit

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protected[java.lang]
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@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

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def hashCode(): Int

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final def isInstanceOf[T0]: Boolean

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final def ne(arg0: AnyRef): Boolean

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final def notify(): Unit

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final def notifyAll(): Unit

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final def synchronized[T0](arg0: ⇒ T0): T0

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def toString(): String

Definition Classes
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def transform(in: NetcdfFile, out: File, varName: String, inDims: IndexedSeq[String], outDimsSpec: IndexedSeq[OutDim])(fun: (IndexedSeq[Int], Array) ⇒ Array): Processor[Unit] with Prepared

Transforms an input NetCDF file into an output NetCDF file, by copying a given variable and applying an optional transform to the data.
Transforms an input NetCDF file into an output NetCDF file, by copying a given variable and applying an optional transform to the data.
Note: This is not optimized for speed, yet.
in
the input file to transform
out
the file to which the output will be written
varName
the variable to copy/transform
inDims
the dimensions of the variable to transform. these will be removed from the target variable
outDimsSpec
the dimensions of the output variable. each spec can either indicate a verbatim copy (Keep) or the result of the transformation (Create)
fun
a function that will transform the variable's data matrix. It is passed the origin in the kept dimensions (origin of the output shape minus the created dimensions) and an object of dimension inDims.size and is required to output an object of dimension outDims.filterNot(_.isCopy).size. The dimensions are sorted to correspond with inDims. The function is called repeatedly, iterating over all other input dimensions except those in inDims.
def transformSelection(in: NetcdfFile, out: File, sel: VariableSection, inDims: IndexedSeq[String], outDimsSpec: IndexedSeq[OutDim])(fun: (IndexedSeq[Int], Array) ⇒ Array): Processor[Unit] with Prepared
final def wait(): Unit

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@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

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@throws( ... )
final def wait(arg0: Long): Unit

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@throws( ... )

Related Doc: package util

object NetCdfFileUtil

Type Members

final class Create extends OutDim

final case class Keep(name: String) extends OutDim with Product with Serializable

sealed trait OutDim extends AnyRef

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

object Create

object OutDim

def anomalies(in: NetcdfFile, out: File, varName: String, timeName: String = "time", windowYears: Int = 30, useMedian: Boolean = false): Processor[Unit] with Prepared

final def asInstanceOf[T0]: T0

def clone(): AnyRef

def concat(in1: NetcdfFile, in2: NetcdfFile, out: File, varName: String, dimName: String = "time"): Processor[Unit] with Prepared

def concatAndWait(in1: NetcdfFile, in2: NetcdfFile, out: File, varName: String, dimName: String = "time"): Unit

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

def transform(in: NetcdfFile, out: File, varName: String, inDims: IndexedSeq[String], outDimsSpec: IndexedSeq[OutDim])(fun: (IndexedSeq[Int], Array) ⇒ Array): Processor[Unit] with Prepared

def transformSelection(in: NetcdfFile, out: File, sel: VariableSection, inDims: IndexedSeq[String], outDimsSpec: IndexedSeq[OutDim])(fun: (IndexedSeq[Int], Array) ⇒ Array): Processor[Unit] with Prepared

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from AnyRef

Inherited from Any

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