timeseries

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Returns aggregated metric values as a yearly or monthly timeseries for a location. <br><b>When to use:</b> Detect long-term trends and compute statistical significance (r-squared, p-value). Best suited for multi-decade spans. <br><b>Date format:</b> mm_dd_start/mm_dd_end as MMDD (day-of-year window, not a calendar year); year_start/year_end as YYYY. Note: Use mm_dd_start/mm_dd_end as MM when months are specified and MMDD when week-level granularity is needed. When day-level info is needed use /events or /dailycomp. <br><b>Performance:</b> Computed on demand; slower for large date ranges or many metrics. <br><b>Prerequisites:</b> Use /location to obtain a locid first. <br><b>Investigate:</b> Use for trend analysis ('Is max temperature at location X increasing over decades?'). Combine with r-squared post-processing for significance. <br><b>Augment:</b> Provides decadal trend context alongside current anomalies ('temperatures have risen 1.5°C over 40 years'). Returns: locid, lat, lon, xvals, yvals.