Background (semi-analytic)¶
Emissivity x Planck clear-sky background, paper section 3.2 Option A.
Clear-sky background reference signals (Miller et al. 2017, section 3.2).
The semianalytic background: per-band surface emissivity (CAMEL climatology,
interpolated to the sensor band centers) modifies the Planck blackbody radiance
of the MERRA-2 skin temperature, which is inverted back to an equivalent
brightness temperature: BT_bg = B^-1(eps * B(T_skin)). Band differences of
these give the dynamic backgrounds used by the dust tests (Eqs. 13-14):
RSW_bg = BT_bg(12.3) - BT_bg(10.4) and BTD_bg = BT_bg(8.6) - BT_bg(10.4).
The Planck function is monochromatic at the band centers (BAND_CENTER_UM),
with physical constants from scipy.constants; only background differences
enter DEBRA, so the monochromatic approximation is well inside the paper’s
quoted <5-10% MERRA-driven uncertainty on the final confidence factor.
Missing emissivity (NaN, e.g. ocean in CAMEL) is treated as eps = 1.0: the paper notes water-surface infrared emissivity is close to unity and needs no background correction, so the tests fall back to their static bounds there.
- shachen.background.planck_radiance(temperature_k, wavelength_um)[source]¶
Monochromatic Planck spectral radiance B(lambda, T) in W m-2 sr-1 m-1.
Array-generic (scalars, numpy, xarray);
wavelength_umin micrometres.
- shachen.background.planck_temperature(radiance, wavelength_um)[source]¶
Analytic inverse of
planck_radiance(): brightness temperature in K.
- shachen.background.background_bt(skin_temperature, emissivity, band: Band)[source]¶
Background brightness temperature
B^-1(eps * B(T_skin))for one band.Array-generic; NaN emissivity is treated as 1.0 (identity: BT_bg = T_skin).
- shachen.background.background_signals(skin_temperature: DataArray, emissivity: Dataset) Dataset[source]¶
Per-pixel background signals for the dust tests (Eqs. 13-14).
emissivitymust carryemis_tir_86,emis_tir_104,emis_tir_123(theload_band_emissivitynaming), on the same grid asskin_temperature(K). Raises ValueError if the 2-D shapes differ.Returns a Dataset with
rsw_bg(= bt_bg_tir_123 - bt_bg_tir_104),btd_bg(= bt_bg_tir_86 - bt_bg_tir_104), and the per-bandbt_bg_tir_86,bt_bg_tir_104,bt_bg_tir_123for debugging.