Refine climate metrics and data pipeline

scripts/rebuild_nsrdb_representative_point_ghi_summary.py

@@ -4,7 +4,7 @@ Rebuild county representative-point GHI summaries from cached NSRDB raw CSV resp
 
 This does not call the NSRDB API. It reads data/nrel/representative_point_csv/*.csv, computes:
 
-avgSolarGhiKwhM2Day = sum(hourly GHI) / 1000 / 365
+meanDailyGlobalHorizontalRadiationKwhM2Day = sum(hourly GHI) / 1000 / 365
 
 and writes a county-keyed CSV compatible with build_county_climate_data.py.
 """
@@ -15,7 +15,6 @@ import argparse
 import csv
 from pathlib import Path
 
-
 DEFAULT_POINTS_CSV = Path("data/nrel/county_representative_points.csv")
 DEFAULT_REPRESENTATIVE_POINT_CSV_DIR = Path("data/nrel/representative_point_csv")
 DEFAULT_OUTPUT_CSV = Path("data/nrel/county_representative_point_ghi_summary.csv")
@@ -82,7 +81,7 @@ def summarize_county(point: dict[str, str], raw_csv: Path) -> dict[str, str]:
         "state_abbr": point["state_abbr"],
         "lat": point["lat"],
         "lon": point["lon"],
-        "avgSolarGhiKwhM2Day": f"{avg_daily_ghi:.3f}",
+        "meanDailyGlobalHorizontalRadiationKwhM2Day": f"{avg_daily_ghi:.3f}",
         "ghi_rows": str(len(ghi_values)),
         "ghi_min": f"{min(ghi_values):.1f}",
         "ghi_max": f"{max(ghi_values):.1f}",
@@ -104,7 +103,7 @@ def write_summary_csv(rows: list[dict[str, str]], output_csv: Path) -> None:
                 "state_abbr",
                 "lat",
                 "lon",
-                "avgSolarGhiKwhM2Day",
+                "meanDailyGlobalHorizontalRadiationKwhM2Day",
                 "ghi_rows",
                 "ghi_min",
                 "ghi_max",