Support for vertical beams in RHI over radar site, KAZR, SACR radars#25
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… since cartopy does not work.
…ustion in parallel runs Close xarray datasets opened via act.io.read_arm_netcdf and xr.open_dataset immediately after data is loaded into memory, rather than relying on garbage collection, which does not run frequently enough in parallel workers. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Adds _log_open_hdf5() using h5py's low-level API, called after each radar file is processed (subset_points, get_nexrad_column) and after each parallel collection loop in radclss_core, so that leaking handles can be pinpointed from WARNING-level log output. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…chunked concat - Cache sonde dataset reads across radar files (_read_sonde_cached): the same sonde launch is re-used by many consecutive scans, so each unique file is now read and computed only once per process lifetime. - Split match_datasets_act into _prepare_match (I/O + resample) and _apply_match (in-place merge). The prepare step is now run concurrently for all ground instruments via ThreadPoolExecutor; the apply step remains sequential. - Replace the serial NEXRAD time-list loop with a ThreadPoolExecutor: fetches are pure network I/O so they parallelise well without multiprocessing overhead. - Replace single large xr.concat(columns[k]) with a chunked tree-reduce concat (chunk size 50) to bound peak memory during the assembly step. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Changes to accommodate the modifications to the DOD as requested by the ARM mentors including support for KAZR/SACR radars and support for RHIs in addition to PPIs.