step one
This commit is contained in:
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68 changed files with 5647 additions and 2958 deletions
141
internal/weather/gfs/constants.go
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141
internal/weather/gfs/constants.go
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package gfs
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import "fmt"
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// Dataset shape: (hour, pressure_level, variable, latitude, longitude).
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// Matches the cube layout used by the reference Tawhiri implementation.
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const (
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NumHours = 65 // 0, 3, 6, ..., 192 hours forecast
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NumLevels = 47 // pressure levels
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NumVariables = 3 // geopotential height, U-wind, V-wind
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NumLatitudes = 361 // -90.0 to +90.0 inclusive in 0.5° steps
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NumLongitudes = 720 // 0.0 to 359.5 in 0.5° steps
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HourStep = 3
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MaxHour = 192
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Resolution = 0.5
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LatStart = -90.0
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LonStart = 0.0
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VarHeight = 0
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VarWindU = 1
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VarWindV = 2
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ElementSize = 4 // float32
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// DatasetSize is the canonical file size: every grid cell × element size.
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DatasetSize int64 = int64(NumHours) * int64(NumLevels) * int64(NumVariables) *
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int64(NumLatitudes) * int64(NumLongitudes) * int64(ElementSize)
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)
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// LevelSet identifies which GRIB file (primary/secondary) carries a level.
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type LevelSet int
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const (
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LevelSetA LevelSet = iota // pgrb2 — primary file
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LevelSetB // pgrb2b — secondary file
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)
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// Pressures lists the 47 pressure levels (hPa) in dataset index order,
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// descending from surface to top of atmosphere.
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var Pressures = [NumLevels]int{
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1000, 975, 950, 925, 900, 875, 850, 825, 800, 775,
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750, 725, 700, 675, 650, 625, 600, 575, 550, 525,
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500, 475, 450, 425, 400, 375, 350, 325, 300, 275,
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250, 225, 200, 175, 150, 125, 100, 70, 50, 30,
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20, 10, 7, 5, 3, 2, 1,
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}
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// PressuresPgrb2 lists the levels carried by the primary GRIB file.
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var PressuresPgrb2 = []int{
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10, 20, 30, 50, 70, 100, 150, 200, 250, 300, 350, 400,
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450, 500, 550, 600, 650, 700, 750, 800, 850, 900, 925,
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950, 975, 1000,
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}
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// PressuresPgrb2b lists the levels carried by the secondary GRIB file.
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var PressuresPgrb2b = []int{
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1, 2, 3, 5, 7, 125, 175, 225, 275, 325, 375, 425,
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475, 525, 575, 625, 675, 725, 775, 825, 875,
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}
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var pressureIndex map[int]int
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var pressureLevelSet map[int]LevelSet
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func init() {
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pressureIndex = make(map[int]int, NumLevels)
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for i, p := range Pressures {
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pressureIndex[p] = i
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}
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pressureLevelSet = make(map[int]LevelSet, NumLevels)
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for _, p := range PressuresPgrb2 {
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pressureLevelSet[p] = LevelSetA
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}
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for _, p := range PressuresPgrb2b {
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pressureLevelSet[p] = LevelSetB
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}
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}
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// PressureIndex returns the dataset index for a pressure level in hPa,
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// or -1 when the level is unknown.
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func PressureIndex(hPa int) int {
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idx, ok := pressureIndex[hPa]
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if !ok {
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return -1
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}
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return idx
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}
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// PressureLevelSet returns the GRIB file set carrying a pressure level.
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func PressureLevelSet(hPa int) (LevelSet, bool) {
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ls, ok := pressureLevelSet[hPa]
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return ls, ok
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}
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// HourIndex returns the dataset time index for a forecast hour, or -1 when
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// the hour is outside the range or not a multiple of HourStep.
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func HourIndex(hour int) int {
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if hour < 0 || hour > MaxHour || hour%HourStep != 0 {
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return -1
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}
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return hour / HourStep
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}
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// Hours returns the full list of forecast hours, [0, 3, 6, ..., MaxHour].
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func Hours() []int {
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out := make([]int, 0, NumHours)
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for h := 0; h <= MaxHour; h += HourStep {
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out = append(out, h)
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}
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return out
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}
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// VariableIndex maps a GRIB (category, number) pair to a dataset variable
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// index, returning -1 for parameters this dataset does not store.
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func VariableIndex(parameterCategory, parameterNumber int) int {
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switch {
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case parameterCategory == 3 && parameterNumber == 5:
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return VarHeight
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case parameterCategory == 2 && parameterNumber == 2:
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return VarWindU
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case parameterCategory == 2 && parameterNumber == 3:
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return VarWindV
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default:
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return -1
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}
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}
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// S3 URL configuration for NOAA GFS data on the public S3 mirror.
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const S3BaseURL = "https://noaa-gfs-bdp-pds.s3.amazonaws.com"
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// GribURL returns the S3 URL for a primary (pgrb2) GRIB file.
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func GribURL(date string, runHour, forecastStep int) string {
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return fmt.Sprintf("%s/gfs.%s/%02d/atmos/gfs.t%02dz.pgrb2.0p50.f%03d",
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S3BaseURL, date, runHour, runHour, forecastStep)
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}
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// GribURLB returns the S3 URL for a secondary (pgrb2b) GRIB file.
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func GribURLB(date string, runHour, forecastStep int) string {
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return fmt.Sprintf("%s/gfs.%s/%02d/atmos/gfs.t%02dz.pgrb2b.0p50.f%03d",
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S3BaseURL, date, runHour, runHour, forecastStep)
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}
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150
internal/weather/gfs/file.go
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150
internal/weather/gfs/file.go
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package gfs
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import (
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"encoding/binary"
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"fmt"
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"math"
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"os"
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"time"
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mmap "github.com/edsrzf/mmap-go"
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)
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// File is an mmap-backed wind dataset file. The layout is a flat C-order
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// row-major array of float32 values, shape (hour, level, variable, lat, lng).
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type File struct {
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mm mmap.MMap
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file *os.File
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writable bool
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// Epoch is the forecast run time (UTC) the file represents.
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Epoch time.Time
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}
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// Open opens an existing dataset file for reading.
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func Open(path string, epoch time.Time) (*File, error) {
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f, err := os.Open(path)
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if err != nil {
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return nil, fmt.Errorf("open dataset: %w", err)
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}
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info, err := f.Stat()
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if err != nil {
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f.Close()
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return nil, fmt.Errorf("stat dataset: %w", err)
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}
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if info.Size() != DatasetSize {
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f.Close()
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return nil, fmt.Errorf("dataset should be %d bytes (was %d)", DatasetSize, info.Size())
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}
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mm, err := mmap.Map(f, mmap.RDONLY, 0)
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if err != nil {
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f.Close()
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return nil, fmt.Errorf("mmap dataset: %w", err)
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}
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return &File{mm: mm, file: f, writable: false, Epoch: epoch}, nil
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}
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// Create creates a new dataset file of the canonical size, mmap'd read-write.
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func Create(path string) (*File, error) {
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f, err := os.Create(path)
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if err != nil {
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return nil, fmt.Errorf("create dataset: %w", err)
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}
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if err := f.Truncate(DatasetSize); err != nil {
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f.Close()
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return nil, fmt.Errorf("truncate dataset: %w", err)
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}
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mm, err := mmap.MapRegion(f, int(DatasetSize), mmap.RDWR, 0, 0)
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if err != nil {
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f.Close()
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return nil, fmt.Errorf("mmap dataset: %w", err)
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}
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return &File{mm: mm, file: f, writable: true}, nil
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}
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// OpenWritable opens an existing dataset file for read-write access.
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// Used when resuming a partial download.
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func OpenWritable(path string) (*File, error) {
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f, err := os.OpenFile(path, os.O_RDWR, 0o644)
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if err != nil {
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return nil, fmt.Errorf("open dataset rw: %w", err)
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}
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info, err := f.Stat()
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if err != nil {
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f.Close()
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return nil, fmt.Errorf("stat dataset: %w", err)
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}
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if info.Size() != DatasetSize {
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f.Close()
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return nil, fmt.Errorf("dataset should be %d bytes (was %d)", DatasetSize, info.Size())
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}
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mm, err := mmap.MapRegion(f, int(DatasetSize), mmap.RDWR, 0, 0)
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if err != nil {
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f.Close()
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return nil, fmt.Errorf("mmap dataset: %w", err)
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}
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return &File{mm: mm, file: f, writable: true}, nil
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}
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// offset returns the byte offset of the [hour][level][variable][lat][lng] cell.
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func offset(hour, level, variable, lat, lng int) int64 {
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idx := int64(hour)
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idx = idx*int64(NumLevels) + int64(level)
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idx = idx*int64(NumVariables) + int64(variable)
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idx = idx*int64(NumLatitudes) + int64(lat)
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idx = idx*int64(NumLongitudes) + int64(lng)
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return idx * int64(ElementSize)
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}
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// Val reads one cell as a float32.
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func (d *File) Val(hour, level, variable, lat, lng int) float32 {
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off := offset(hour, level, variable, lat, lng)
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return math.Float32frombits(binary.LittleEndian.Uint32(d.mm[off : off+4]))
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}
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// SetVal writes one cell. Only valid on writable files.
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func (d *File) SetVal(hour, level, variable, lat, lng int, val float32) {
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off := offset(hour, level, variable, lat, lng)
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binary.LittleEndian.PutUint32(d.mm[off:off+4], math.Float32bits(val))
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}
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// BlitGribData copies one decoded GRIB grid into the dataset, flipping the
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// latitude axis from GRIB's north-to-south scan order to our south-to-north
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// storage order. gribData must be 361*720 = 259920 float64 values.
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func (d *File) BlitGribData(hourIdx, levelIdx, varIdx int, gribData []float64) error {
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expected := NumLatitudes * NumLongitudes
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if len(gribData) != expected {
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return fmt.Errorf("grib data has %d values, expected %d", len(gribData), expected)
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}
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for lat := range NumLatitudes {
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for lng := range NumLongitudes {
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gribIdx := (360-lat)*NumLongitudes + lng
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d.SetVal(hourIdx, levelIdx, varIdx, lat, lng, float32(gribData[gribIdx]))
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}
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}
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return nil
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}
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// Flush flushes the mmap to disk.
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func (d *File) Flush() error {
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if d.mm != nil {
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return d.mm.Flush()
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}
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return nil
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}
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// Close unmaps and closes the file.
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func (d *File) Close() error {
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if d.mm != nil {
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if err := d.mm.Unmap(); err != nil {
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d.file.Close()
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return fmt.Errorf("unmap: %w", err)
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}
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d.mm = nil
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}
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if d.file != nil {
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err := d.file.Close()
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d.file = nil
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return err
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}
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return nil
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}
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109
internal/weather/gfs/wind.go
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109
internal/weather/gfs/wind.go
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package gfs
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import (
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"time"
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"predictor-refactored/internal/numerics"
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"predictor-refactored/internal/weather"
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)
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// Wind is a WindField backed by a GFS dataset file.
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type Wind struct {
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file *File
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}
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// NewWind returns a Wind backed by file.
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func NewWind(file *File) *Wind {
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return &Wind{file: file}
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}
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// Epoch returns the forecast run time of the underlying file.
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func (w *Wind) Epoch() time.Time { return w.file.Epoch }
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// Source returns the source identifier "noaa-gfs-0p50".
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func (w *Wind) Source() string { return "noaa-gfs-0p50" }
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// Close releases the underlying file's resources.
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func (w *Wind) Close() error { return w.file.Close() }
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// Grid axes for the GFS 0.5-degree dataset.
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var (
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hourAxis = numerics.Axis{
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Left: 0,
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Step: float64(HourStep),
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N: NumHours,
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Name: "hour",
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}
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latAxis = numerics.Axis{
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Left: LatStart,
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Step: Resolution,
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N: NumLatitudes,
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Name: "lat",
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}
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lngAxis = numerics.Axis{
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Left: LonStart,
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Step: Resolution,
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N: NumLongitudes,
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Wrap: true,
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Name: "lng",
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}
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)
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// Wind samples the field at the given UNIX time, geographic coordinate, and
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// altitude. Vertical interpolation matches Tawhiri: locate the two pressure
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// levels whose interpolated geopotential heights bracket alt, then linearly
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// interpolate U and V between them.
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func (w *Wind) Wind(t, lat, lng, alt float64) (weather.Sample, error) {
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hours := (t - float64(w.file.Epoch.Unix())) / 3600.0
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bh, err := hourAxis.Locate(hours)
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if err != nil {
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return weather.Sample{}, err
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}
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bla, err := latAxis.Locate(lat)
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if err != nil {
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return weather.Sample{}, err
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}
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bln, err := lngAxis.Locate(lng)
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if err != nil {
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return weather.Sample{}, err
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}
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bs := [3]numerics.Bracket{bh, bla, bln}
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height := func(level int) func(i, j, k int) float64 {
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return func(i, j, k int) float64 {
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return float64(w.file.Val(i, level, VarHeight, j, k))
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}
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}
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levelIdx := numerics.Bisect(0, NumLevels-2, alt, func(level int) float64 {
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return numerics.EvalTrilinear(bs, height(level))
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})
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lowerHGT := numerics.EvalTrilinear(bs, height(levelIdx))
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upperHGT := numerics.EvalTrilinear(bs, height(levelIdx+1))
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var altFrac float64
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if lowerHGT != upperHGT {
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altFrac = (upperHGT - alt) / (upperHGT - lowerHGT)
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} else {
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altFrac = 0.5
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}
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component := func(level, variable int) float64 {
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return numerics.EvalTrilinear(bs, func(i, j, k int) float64 {
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return float64(w.file.Val(i, level, variable, j, k))
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})
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}
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lowerU := component(levelIdx, VarWindU)
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upperU := component(levelIdx+1, VarWindU)
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lowerV := component(levelIdx, VarWindV)
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upperV := component(levelIdx+1, VarWindV)
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return weather.Sample{
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U: lowerU*altFrac + upperU*(1-altFrac),
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V: lowerV*altFrac + upperV*(1-altFrac),
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AboveModel: altFrac < 0,
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}, nil
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}
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