Release: auto-parallel ensembles + remaining parallelization#127
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* perf: parallelize remaining NEX-GDDP ensembles + add --workers flags The three remaining per-model ensemble loops ran models serially. Each per-model run is an independent, I/O-bound GEE fetch, so run them concurrently via ThreadPoolExecutor, with deterministic input-model ordering restored afterward and per-model errors isolated: - climate_statistics/ensemble_statistics.py (analyze_ensemble_nex_gddp) - compare_periods/ensemble_periods.py (ensemble_compare) - season_analysis/ensemble.py (run_ensemble) Each gains a max_workers param (default 8) and a --workers CLI flag (use 1 to disable). statistics.py already span-fetches the full period once per model, so this targets the across-models dimension. Also reconfigure stdout/stderr to UTF-8 in all three CLIs: a '->' arrow printed by statistics.py crashed cp1252 Windows consoles with UnicodeEncodeError (pre-existing; surfaced once errors were caught per-model). Verified parallel JSON output is identical to serial (only the analysis_date timestamp differs); ~1.7x on a 4-model x 5-year run. * perf: auto-scale ensemble workers by default (no --workers flag needed) Change the default worker count across all five ensemble CLIs from a fixed 8 to 'auto': max_workers<=0 resolves to one worker per model/job, capped at 16. Running the original commands (without --workers) now parallelizes maximally out of the box. --workers N still overrides; --workers 1 disables parallelism. Applies to ensemble_hazards, long_term_climatology, ensemble_statistics, ensemble_periods, and season_analysis/ensemble.
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Summary
Promotes #126 from staging to main: parallelizes the three remaining serial ensembles (ensemble_statistics, ensemble_periods, season_analysis/ensemble), auto-scales worker count by default across all five ensemble CLIs (bare commands parallelize with no --workers flag; one per model capped at 16), and adds the UTF-8 console fix to the three CLIs that lacked it.