模型区间数据修复：scan row 优先 daily models，fallback 到 multi forecasts + hourly

- 后端 _build_quick_row: model_cluster_sources 先从 multi_model_daily 取 daily models
- 前端 chart: modelValues 优先 row.model_cluster_sources，缺失时从 hourly.multiModelDaily 补

frontend/components/dashboard/scan-terminal/LiveTemperatureThresholdChart.tsx

@@ -1486,7 +1486,12 @@ export function LiveTemperatureThresholdChart({
   const displayRunwayTemp = liveTemp ?? currentRunwayTemp;
   const wundergroundDailyHigh = validNumber(hourly?.airportCurrent?.max_so_far ?? hourly?.airportPrimary?.max_so_far) ?? null;
 
-  const modelValues = Object.values(row?.model_cluster_sources || {})
+  const localDateStr = row?.local_date || new Date().toISOString().slice(0, 10);
+  const modelSources = (row?.model_cluster_sources && Object.keys(row.model_cluster_sources).length > 0)
+    ? row.model_cluster_sources
+    : (hourly?.multiModelDaily?.[localDateStr]?.models || null);
+
+  const modelValues = Object.values(modelSources || {})
     .map(validNumber)
     .filter((v): v is number => v !== null);
   const modelMin = modelValues.length ? Math.min(...modelValues) : (row?.cluster_core_low ?? null);

web/scan_terminal_city_row.py

@@ -183,6 +183,11 @@ def _build_quick_row(
         tz_offset = _safe_int(city_meta.get("tz"), 0)
     market_region = _market_region_from_tz_offset(tz_offset)
 
+    multi_model_daily = data.get("multi_model_daily") or {}
+    daily_entry = multi_model_daily.get(local_date) if isinstance(multi_model_daily, dict) else {}
+    if not isinstance(daily_entry, dict):
+        daily_entry = {}
+
     id_parts = [city, local_date or "today"]
     if data.get("temp_symbol") == "°F":
         id_parts.append("F")
@@ -201,10 +206,14 @@ def _build_quick_row(
         "current_temp": curr.get("temp"),
         "current_max_so_far": curr.get("max_so_far"),
         "deb_prediction": deb.get("prediction"),
-        "model_cluster_sources": {
-            str(k): v for k, v in multi.get("forecasts", {}).items()
-            if v is not None
-        },
+        "model_cluster_sources": (
+            daily_entry.get("models")
+            if isinstance(daily_entry.get("models"), dict)
+            else {
+                str(k): v for k, v in multi.get("forecasts", {}).items()
+                if v is not None
+            }
+        ),
         "distribution_preview": distribution[:6] if distribution else [],
         "trading_region": market_region["key"],
         "trading_region_label": market_region["label_en"],