prop/lib/microwaveprop/weather/era5_batch_client.ex
Graham McIntire 51e390959c Add dialyzer specs and types across the codebase
277 @spec/@type annotations added to 58 files covering all public
APIs: contexts (propagation, radio, weather, terrain, beacons,
commercial), GRIB2 decoders, terrain analysis, duct detection,
rain scatter, CSV/ADIF import, weather clients, and all Ecto
schemas. Dialyzer passes with 0 errors.
2026-04-12 08:55:04 -05:00

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defmodule Microwaveprop.Weather.Era5BatchClient do
@moduledoc """
Fetches ERA5 reanalysis data from Copernicus Climate Data Store (CDS) one
month-tile at a time and bulk-inserts the resulting profiles into
`era5_profiles`.
The per-point `Era5Client.fetch_profile/3` path is tragically slow because
every point-hour triggers its own asynchronous CDS job (submit → poll →
assemble → download). For backfill this balloons into thousands of
independent CDS jobs. This module instead groups requests by month and a
small lat/lon tile (2° × 2° by default) so one submit/poll/download cycle
produces many thousands of profile rows.
Idempotency: `fetch_month_into_db/1` is a no-op when the requested
(year, month, tile) already has profile rows in `era5_profiles`. Combined
with Oban uniqueness on `Era5MonthBatchWorker`, redundant fetches are
collapsed.
"""
import Ecto.Query
alias Microwaveprop.Repo
alias Microwaveprop.Weather.Era5Client
alias Microwaveprop.Weather.Era5Profile
alias Microwaveprop.Weather.Grib2.Wgrib2
alias Microwaveprop.Weather.SoundingParams
require Logger
# ERA5 hourly reanalysis runs on a 0.25° global grid. Tiles are aligned
# to an even-degree lattice (2° × 2°), producing 9 × 9 = 81 grid points
# per tile per hour. A month-tile expands to ~60k profiles.
@tile_degrees 2
@era5_step 0.25
@doc """
Returns the integer tile coordinate `{tile_lat, tile_lon}` for a point,
where `tile_lat` is the south edge and `tile_lon` is the west edge.
"""
@spec tile_for_point(float(), float()) :: {integer(), integer()}
def tile_for_point(lat, lon) do
{floor_to_tile(lat), floor_to_tile(lon)}
end
defp floor_to_tile(value) do
value
|> Kernel./(@tile_degrees)
|> Float.floor()
|> trunc()
|> Kernel.*(@tile_degrees)
end
@doc false
@spec tile_degrees() :: pos_integer()
def tile_degrees, do: @tile_degrees
@doc """
Fetches one month of ERA5 data covering the given tile and stores every
resulting hourly profile in `era5_profiles`. Returns
`{:ok, inserted_count}` or `{:error, reason}`.
"""
@spec fetch_month_into_db(%{
year: pos_integer(),
month: pos_integer(),
tile_lat: integer(),
tile_lon: integer()
}) :: {:ok, non_neg_integer()} | {:error, term()}
def fetch_month_into_db(%{year: year, month: month, tile_lat: tile_lat, tile_lon: tile_lon}) do
if month_tile_cached?(year, month, tile_lat, tile_lon) do
Logger.info("ERA5Batch: #{year}-#{pad(month)} tile #{tile_lat},#{tile_lon} already cached")
{:ok, 0}
else
do_fetch_month(year, month, tile_lat, tile_lon)
end
end
defp do_fetch_month(year, month, tile_lat, tile_lon) do
area = tile_area(tile_lat, tile_lon)
days = days_in_month(year, month)
Logger.info("ERA5Batch: fetching #{year}-#{pad(month)} tile #{tile_lat},#{tile_lon} (#{days} days)")
with {:ok, single_grib} <- fetch_single_level_month(year, month, days, area),
{:ok, pressure_grib} <- fetch_pressure_level_month(year, month, days, area),
{:ok, profiles} <- build_month_profiles(tile_lat, tile_lon, single_grib, pressure_grib) do
inserted = bulk_insert_profiles(profiles)
Logger.info("ERA5Batch: stored #{inserted} profiles for #{year}-#{pad(month)} tile #{tile_lat},#{tile_lon}")
{:ok, inserted}
end
end
defp month_tile_cached?(year, month, tile_lat, tile_lon) do
{first, last} = month_bounds(year, month)
Era5Profile
|> where(
[p],
p.valid_time >= ^first and p.valid_time < ^last and
p.lat >= ^(tile_lat * 1.0) and p.lat <= ^(tile_lat * 1.0 + @tile_degrees) and
p.lon >= ^(tile_lon * 1.0) and p.lon <= ^(tile_lon * 1.0 + @tile_degrees)
)
|> Repo.exists?()
end
defp month_bounds(year, month) do
{:ok, first} = Date.new(year, month, 1)
{:ok, first_dt} = DateTime.new(first, ~T[00:00:00], "Etc/UTC")
last_dt = DateTime.add(first_dt, days_in_month(year, month) * 86_400, :second)
{first_dt, last_dt}
end
defp days_in_month(year, month), do: Calendar.ISO.days_in_month(year, month)
defp tile_area(tile_lat, tile_lon) do
# CDS area is [north, west, south, east]
Enum.map([tile_lat + @tile_degrees, tile_lon, tile_lat, tile_lon + @tile_degrees], &(&1 * 1.0))
end
defp pad(n), do: String.pad_leading(Integer.to_string(n), 2, "0")
# -- CDS requests ----------------------------------------------------------
defp fetch_single_level_month(year, month, days, area) do
request = %{
"product_type" => ["reanalysis"],
"variable" => Era5Client.single_level_vars(),
"year" => [Integer.to_string(year)],
"month" => [pad(month)],
"day" => Enum.map(1..days, &pad/1),
"time" => Enum.map(0..23, &"#{pad(&1)}:00"),
"area" => area,
"data_format" => "grib"
}
Era5Client.submit_and_download("reanalysis-era5-single-levels", request)
end
defp fetch_pressure_level_month(year, month, days, area) do
request = %{
"product_type" => ["reanalysis"],
"variable" => Era5Client.pressure_level_vars(),
"pressure_level" => Era5Client.pressure_levels(),
"year" => [Integer.to_string(year)],
"month" => [pad(month)],
"day" => Enum.map(1..days, &pad/1),
"time" => Enum.map(0..23, &"#{pad(&1)}:00"),
"area" => area,
"data_format" => "grib"
}
Era5Client.submit_and_download("reanalysis-era5-pressure-levels", request)
end
# -- GRIB extraction -------------------------------------------------------
defp grid_spec_for_tile(tile_lat, tile_lon) do
count = round(@tile_degrees / @era5_step) + 1
%{
lon_start: tile_lon * 1.0,
lon_count: count,
lon_step: @era5_step,
lat_start: tile_lat * 1.0,
lat_count: count,
lat_step: @era5_step
}
end
defp build_month_profiles(tile_lat, tile_lon, single_grib, pressure_grib) do
grid_spec = grid_spec_for_tile(tile_lat, tile_lon)
with {:ok, single_msgs} <-
Wgrib2.extract_grid_messages(single_grib, ":(TMP|DPT|PRES|UGRD|VGRD|PWAT|HPBL):", grid_spec),
{:ok, pressure_msgs} <- Wgrib2.extract_grid_messages(pressure_grib, ":(TMP|DPT|HGT):", grid_spec) do
# Index both message sets by (datetime, lat, lon) → var:level map.
points_single = index_messages(single_msgs)
points_pressure = index_messages(pressure_msgs)
all_keys =
MapSet.union(
MapSet.new(Map.keys(points_single)),
MapSet.new(Map.keys(points_pressure))
)
profiles =
all_keys
|> Enum.map(fn {dt, lat, lon} ->
single_fields = Map.get(points_single, {dt, lat, lon}, %{})
pressure_fields = Map.get(points_pressure, {dt, lat, lon}, %{})
build_profile_attrs(lat, lon, dt, single_fields, pressure_fields)
end)
|> Enum.reject(&is_nil/1)
{:ok, profiles}
end
end
defp index_messages(messages) do
Enum.reduce(messages, %{}, fn msg, acc ->
key_name = "#{msg.var}:#{msg.level}"
Enum.reduce(msg.values, acc, fn {{lat, lon}, value}, inner ->
Map.update(
inner,
{msg.datetime, lat, lon},
%{key_name => value},
&Map.put(&1, key_name, value)
)
end)
end)
end
defp build_profile_attrs(_lat, _lon, nil, _single, _pressure), do: nil
defp build_profile_attrs(lat, lon, datetime, single_fields, pressure_fields) do
temp_c = kelvin_to_celsius(single_fields["TMP:2 m above ground"])
dewpoint_c = kelvin_to_celsius(single_fields["DPT:2 m above ground"])
pressure_mb = pa_to_mb(single_fields["PRES:surface"])
hpbl_m = single_fields["HPBL:surface"]
pwat_mm = single_fields["PWAT:entire atmosphere"]
profile =
Era5Client.pressure_levels()
|> Enum.map(fn level_str ->
level = String.to_integer(level_str)
pres_key = "#{level} mb"
%{
"pres" => level * 1.0,
"tmpc" => kelvin_to_celsius(pressure_fields["TMP:#{pres_key}"]),
"dwpc" => kelvin_to_celsius(pressure_fields["DPT:#{pres_key}"]),
"hght" => geopotential_to_height(pressure_fields["HGT:#{pres_key}"])
}
end)
|> Enum.reject(&is_nil(&1["tmpc"]))
if profile == [] and is_nil(temp_c) do
nil
else
params = SoundingParams.derive(profile)
base = %{
valid_time: datetime,
lat: lat,
lon: lon,
profile: profile,
hpbl_m: hpbl_m,
pwat_mm: pwat_mm,
surface_temp_c: temp_c,
surface_dewpoint_c: dewpoint_c,
surface_pressure_mb: pressure_mb
}
if params do
Map.merge(base, %{
surface_refractivity: params.surface_refractivity,
min_refractivity_gradient: params.min_refractivity_gradient,
ducting_detected: params.ducting_detected || false,
duct_characteristics: params.duct_characteristics
})
else
base
end
end
end
defp kelvin_to_celsius(nil), do: nil
defp kelvin_to_celsius(k), do: k - 273.15
defp pa_to_mb(nil), do: nil
defp pa_to_mb(pa), do: pa / 100.0
defp geopotential_to_height(nil), do: nil
defp geopotential_to_height(gp), do: gp / 9.80665
# -- Bulk insert -----------------------------------------------------------
# Insert in chunks to keep each query under Postgres' parameter limit
# (65,535 params / ~15 fields ≈ 4,000 rows per statement).
@chunk_size 2_000
defp bulk_insert_profiles(profiles) do
now = DateTime.truncate(DateTime.utc_now(), :second)
profiles
|> Enum.chunk_every(@chunk_size)
|> Enum.reduce(0, fn chunk, acc ->
rows =
Enum.map(chunk, fn attrs ->
attrs
|> Map.put(:inserted_at, now)
|> Map.put(:updated_at, now)
end)
{count, _} =
Repo.insert_all(Era5Profile, rows,
on_conflict: :nothing,
conflict_target: [:lat, :lon, :valid_time]
)
acc + count
end)
end
end