Sde

Kantha-Clayson & Garratt boundary-layer turbulence parameterization for Lagrangian particle dispersion, as described in NOAA ARL-224 and the HYSPLIT documentation. Computes turbulent velocity standard deviations (sigmaw, sigma_u, sigma_v), Lagrangian vertical time scale (TL_v), Monin-Obukhov length (Lmo), and convective velocity scale (wstar) from surface-layer similarity theory; integrates stochastic Langevin equations for the turbulent velocity components (wprime, uprime_x, uprime_y) and the resulting Lagrangian particle position (lon, lat, lev). The upstream Julia source uses a single @brownians Bw term on all three velocity ODEs (gt-kuxo gap); this ESM migrates the deterministic drift equations only. Migrated from EnvironmentalTransport.jl@a48559c4114eb9f06668ecf9f06235aad20f63f0:src/BoundaryLayerMixingKC.jl:15.

Stochastic individual-tree growth model for lodgepole pine (Pinus contorta) based on the Prognosis Model for Stand Development (Stage 1973). Tracks squared diameter (Dsq = DBH²), total height (HT), height to crown base (HCB), and tree density (N_trees) under four coupled processes: basal area increment (Stage 1973 Eq. 1), height growth (Eq. 2), crown recession (Eq. 3), and endemic mortality (Eq. 4). The upstream Julia source includes a multiplicative Brownian noise term on DDS_rate (gt-kuxo gap); this ESM migrates the deterministic drift equations only. All quantities in SI base units (m, s); upstream regression fitted in imperial units (inches, feet, years) — parameters encode the conversion constants. Migrated from Vegetation.jl@010c3774dc5646d81806c6119c8a029a70f6c9a0:src/stage_prognosis.jl:29.