feat(picket-fence): full picket-fence radiation scheme (LW + SW, correlated-k, multi-planet)#210
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Wheel: replace include_package_data=True with explicit package_data covering only the runtime _data/ assets (ozone, TOML configs, correlated-k .nc/.npz). Fortran sources, .pyx, PDFs, graphify-out/, etc. are no longer bundled. sdist: change MANIFEST.in to include only *.py from tests/, dropping ~59 MB of binary NetCDF caches. Delete 6 stale/defective Chaverot-sourced Earth LW tables and all code that referenced them (test_resolution_convergence.py, benchmark_hotmoist_window_closure.py, lw_convergence() in benchmark_picket_fence_vs_rrtmg.py). The 4-band/8-gpt options are superseded by the 14-band linepyline table; the hotmoist table has a molar-mass calibration defect at high H2O. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
chore: slim wheel/sdist, drop stale Chaverot Earth LW tables
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Summary
Adds a complete picket-fence radiation scheme to climt, along with multi-planet atmospheric profiles, a correlated-k table pipeline, and general condensible species support in Emanuel convection.
Core radiation components
PicketFenceLongwave— Parmentier-mode grey LW and correlated-k mode; njit(parallel) transport kernel (~540× faster than pure Python, faster than RRTMG-LW for large column counts)PicketFenceShortwave— two-stream SW with ESFT overlap, Rayleigh scattering, cloud optical properties, correlated-k modediagnostics_levelcontrolCorrelated-k tables
earth_low_res_lw.nc): 14-band, 8 g-pts, HITRAN 2024 / MT_CKD 4.3, runtime CO₂ axis (10–10000 ppm, log-k interpolation), runtime H₂O axis — validated against RRTMG-LWearth_low_res_sw.nc): 3-band, 2 g-ptsscripts/pf_table_builder/— linepyline kappa sampler, k-distribution with Gauss-Legendre quadrature, netCDF writerCO₂ runtime axis
Multi-planet atmospheric profiles
climt/_data/atmospheric_properties/)get_active_condensible()/CondensibleParamsAPI for condensible species (H₂O, CH₄)Emanuel convection
EmanuelConvectionPython(old pure-Python component dropped)CondensibleParams) wired through vectorised kernel: saturation vapour pressure, latent heat, LCL pressure parameterised per-condensibleCanonical diagnostic names
air_temperature_tendency_from_longwave/_from_shortwave(replaces old*_heating_ratenames)CI / packaging
netcdf4,numba,importlib_resourcesto dev requirementsTest plan
tests/test_picket_fence_lw.py— 10 tests (Parmentier, correlated-k, CO₂ axis, per-band sums, isothermal equilibrium, surface emissivity)tests/test_picket_fence_sw.py— two-stream, correlated-k, per-band sums, cloud hooktests/test_rrtmg_vs_picket_fence.py— LW/SW broadband within 25% of RRTMG; H₂O response livetests/test_grey_limit.py— bit-exact grey limit vsGrayLongwaveRadiationtests/test_lw_kernel_consolidation.py— transport kernel regressiontests/test_condensibles.py— Titan CH₄ smoke test, saturation vapour pressure,CondensibleParamstests/test_components.py—GrayLongwaveRadiationcached-output tests pass with renamed diagnosticfeature/picket-fence-radiation🤖 Generated with Claude Code