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import OmFileFormat
/// Requirements to the reader in order to mix. Could be a GenericReaderDerived or just GenericReader
protocol GenericReaderProtocol {
associatedtype MixingVar: GenericVariableMixable
var modelLat: Float { get }
var modelLon: Float { get }
var modelElevation: ElevationOrSea { get }
var targetElevation: Float { get }
var modelDtSeconds: Int { get }
func get(variable: MixingVar, time: TimerangeDtAndSettings) throws -> DataAndUnit
func getStatic(type: ReaderStaticVariable) throws -> Float?
func prefetchData(variable: MixingVar, time: TimerangeDtAndSettings) throws
}
/**
Each call to `get` or `prefetch` is acompanied by time, ensemble member and previous day information
*/
struct TimerangeDtAndSettings: Hashable {
let time: TimerangeDt
/// Member stored in separate files
let ensembleMember: Int
/// Member stored as an addiitonal dimention int the same file
let ensembleMemberLevel: Int
let previousDay: Int
var dtSeconds: Int {
time.dtSeconds
}
var range: Range<Timestamp> {
time.range
}
func with(start: Timestamp) -> TimerangeDtAndSettings {
return TimerangeDtAndSettings(time: time.with(start: start), ensembleMember: ensembleMember, ensembleMemberLevel: ensembleMemberLevel, previousDay: previousDay)
}
func with(time: TimerangeDt? = nil, ensembleMember: Int? = nil) -> TimerangeDtAndSettings {
return TimerangeDtAndSettings(time: time ?? self.time, ensembleMember: ensembleMember ?? self.ensembleMember, ensembleMemberLevel: ensembleMemberLevel, previousDay: previousDay)
}
func with(dtSeconds: Int) -> TimerangeDtAndSettings {
return TimerangeDtAndSettings(time: time.with(dtSeconds: dtSeconds), ensembleMember: ensembleMember, ensembleMemberLevel: ensembleMemberLevel, previousDay: previousDay)
}
}
extension TimerangeDt {
func toSettings(ensembleMember: Int? = nil, previousDay: Int? = nil, ensembleMemberLevel: Int? = nil) -> TimerangeDtAndSettings{
return TimerangeDtAndSettings(time: self, ensembleMember: ensembleMember ?? 0, ensembleMemberLevel: ensembleMemberLevel ?? 0, previousDay: previousDay ?? 0)
}
}
enum ReaderStaticVariable {
case soilType
case elevation
}
/**
Generic reader implementation that resolves a grid point and interpolates data.
Corrects elevation
*/
struct GenericReader<Domain: GenericDomain, Variable: GenericVariable>: GenericReaderProtocol {
/// Reference to the domain object
let domain: Domain
/// Grid index in data files
let position: Int
/// Elevation of the grid point
let modelElevation: ElevationOrSea
/// The desired elevation. Used to correct temperature forecasts
let targetElevation: Float
/// Latitude of the grid point
let modelLat: Float
/// Longitude of the grid point
let modelLon: Float
/// If set, use new data files
let omFileSplitter: OmFileSplitter
var modelDtSeconds: Int {
return domain.dtSeconds
}
/// Initialise reader to read a single grid-point
public init(domain: Domain, position: Int) throws {
self.domain = domain
self.position = position
if let elevationFile = domain.getStaticFile(type: .elevation) {
self.modelElevation = try domain.grid.readElevation(gridpoint: position, elevationFile: elevationFile)
} else {
self.modelElevation = .noData
}
self.targetElevation = .nan
let coords = domain.grid.getCoordinates(gridpoint: position)
self.modelLat = coords.latitude
self.modelLon = coords.longitude
self.omFileSplitter = OmFileSplitter(domain)
}
/// Return nil, if the coordinates are outside the domain grid
public init?(domain: Domain, lat: Float, lon: Float, elevation: Float, mode: GridSelectionMode) throws {
// check if coordinates are in domain, otherwise return nil
guard let gridpoint = try domain.grid.findPoint(lat: lat, lon: lon, elevation: elevation, elevationFile: domain.getStaticFile(type: .elevation), mode: mode) else {
return nil
}
self.domain = domain
self.position = gridpoint.gridpoint
self.modelElevation = gridpoint.gridElevation
self.targetElevation = elevation.isNaN ? gridpoint.gridElevation.numeric : elevation
omFileSplitter = OmFileSplitter(domain)
(modelLat, modelLon) = domain.grid.getCoordinates(gridpoint: gridpoint.gridpoint)
}
/// Prefetch data asynchronously. At the time `read` is called, it might already by in the kernel page cache.
func prefetchData(variable: Variable, time: TimerangeDtAndSettings) throws {
if time.dtSeconds == domain.dtSeconds {
try omFileSplitter.willNeed(variable: variable.omFileName.file, location: position..<position+1, level: time.ensembleMemberLevel, time: time)
return
}
let interpolationType = variable.interpolation
let timeRead = time.dtSeconds > domain.dtSeconds ?
time.time.forAggregationTo(modelDt: domain.dtSeconds, interpolation: interpolationType) :
time.time.forInterpolationTo(modelDt: domain.dtSeconds, interpolation: interpolationType)
try omFileSplitter.willNeed(variable: variable.omFileName.file, location: position..<position+1, level: time.ensembleMemberLevel, time: time.with(time: timeRead))
}
/// Read and scale if required
private func readAndScale(variable: Variable, time: TimerangeDtAndSettings) throws -> DataAndUnit {
var data = try omFileSplitter.read(variable: variable.omFileName.file, location: position..<position+1, level: time.ensembleMemberLevel, time: time)
/// Scale pascal to hecto pasal. Case in era5
if variable.unit == .pascal {
return DataAndUnit(data.map({$0 / 100}), .hectopascal)
}
if variable.isElevationCorrectable && variable.unit == .celsius && !modelElevation.numeric.isNaN && !targetElevation.isNaN && targetElevation != modelElevation.numeric {
for i in data.indices {
// correct temperature by 0.65° per 100 m elevation
data[i] += (modelElevation.numeric - targetElevation) * 0.0065
}
}
return DataAndUnit(data, variable.unit)
}
/// Read data and interpolate if required
func readAndInterpolate(variable: Variable, time: TimerangeDtAndSettings) throws -> DataAndUnit {
if time.dtSeconds == domain.dtSeconds {
return try readAndScale(variable: variable, time: time)
}
let interpolationType = variable.interpolation
if time.dtSeconds > domain.dtSeconds {
// Aggregate data
let timeRead = time.time.forAggregationTo(modelDt: domain.dtSeconds, interpolation: interpolationType)
let read = try readAndScale(variable: variable, time: time.with(time: timeRead))
let aggregated = read.data.aggregate(type: interpolationType, timeOld: timeRead, timeNew: time.time)
return DataAndUnit(aggregated, read.unit)
}
// Interpolate data
let timeLow = time.time.forInterpolationTo(modelDt: domain.dtSeconds, interpolation: interpolationType)
let read = try readAndScale(variable: variable, time: time.with(time: timeLow))
let interpolated = read.data.interpolate(type: interpolationType, timeOld: timeLow, timeNew: time.time, latitude: modelLat, longitude: modelLon, scalefactor: variable.scalefactor)
return DataAndUnit(interpolated, read.unit)
}
func get(variable: Variable, time: TimerangeDtAndSettings) throws -> DataAndUnit {
return try readAndInterpolate(variable: variable, time: time)
}
func getStatic(type: ReaderStaticVariable) throws -> Float? {
guard let file = domain.getStaticFile(type: type) else {
return nil
}
return try domain.grid.readFromStaticFile(gridpoint: position, file: file)
}
}
extension TimerangeDt {
/// Expand the time range for interpolation
func forAggregationTo(modelDt: Int, interpolation: ReaderInterpolation) -> TimerangeDt {
switch interpolation {
case .linear, .linearDegrees, .hermite(_):
return self.with(dtSeconds: modelDt)
case .solar_backwards_averaged, .solar_backwards_missing_not_averaged, .backwards_sum, .backwards:
// Need to read previous timesteps to sum/average the correct value
let steps = dtSeconds / modelDt
let backSeconds = -1 * modelDt * (steps - 1)
return self.with(dtSeconds: modelDt).with(start: range.lowerBound.add(backSeconds))
}
}
/// Adjust time for interpolation. E.g. Reads a bit more data for hermite interpolation
func forInterpolationTo(modelDt: Int, interpolation: ReaderInterpolation) -> TimerangeDt {
let expand = modelDt*(interpolation.padding-1)
let start = range.lowerBound.floor(toNearest: modelDt).add(-1*expand)
let end = range.upperBound.ceil(toNearest: modelDt).add(expand)
return TimerangeDt(start: start, to: end, dtSeconds: modelDt)
}
}
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