Graham McIntire
0f0e5e8d43
Phase 3 NEXRAD spike: IEM n0q composite available at 5-min cadence back to 2022+. Compression-ratio proxy shows afternoon images have 13-81% more texture than dawn (directionally correct), but the n0q product thresholds out the faint clear-air returns needed for BL stability detection. Parked until MRMS or Level III products can be investigated. See docs/research/nexrad_spike.md. Phase 6: hrrr_climatology table aggregating surface_temp_c by (lat, lon, month, hour) from the 42M+ hrrr_profiles grid-point rows. mix hrrr_climatology builds it via a single SQL GROUP BY + upsert. Backtest.Features.temperature_anomaly computes current_temp minus climatological mean — the meteorologist's "temperature deviation above normal" predictor for summer afternoon enhancement.
36 lines
1.2 KiB
Elixir
36 lines
1.2 KiB
Elixir
defmodule Microwaveprop.Weather.HrrrClimatology do
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@moduledoc """
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Pre-computed mean and stddev of surface temperature from
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`hrrr_profiles`, keyed on `(lat, lon, month, hour)`.
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Used by Phase 6 to compute temperature anomaly: how much hotter
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(or cooler) a given hour is compared to the same grid cell's
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typical value for that month and time of day. The meteorologist
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noted that extremely hot days (~10°F above normal in summer)
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produce enhanced ducting even in the afternoon when the
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time-of-day factor normally suppresses the score.
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"""
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use Ecto.Schema
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import Ecto.Changeset
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@primary_key {:id, :binary_id, autogenerate: true}
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@foreign_key_type :binary_id
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schema "hrrr_climatology" do
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field :lat, :float
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field :lon, :float
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field :month, :integer
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field :hour, :integer
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field :mean_surface_temp_c, :float
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field :stddev_surface_temp_c, :float
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field :sample_count, :integer
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end
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def changeset(record, attrs) do
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record
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|> cast(attrs, [:lat, :lon, :month, :hour, :mean_surface_temp_c, :stddev_surface_temp_c, :sample_count])
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|> validate_required([:lat, :lon, :month, :hour])
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|> unique_constraint([:lat, :lon, :month, :hour])
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end
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end
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