climatecomps

io.weathersight/weathersight · Verify this server

Returns monthly distributions of selected metrics for locations compared against a baseline period. <br><b>When to use:</b> Compute normalized and absolute deviations from a baseline, inter-annual and intra-annual variations within months and seasons. Check base_N and obs_N to assess data completeness. <br><b>Date format:</b> obs_years as YYYY or YYYY-YYYY range; months as MM or MM-MM (e.g. '06', '06-08', 'All' for annual). <br><b>Performance:</b> Bulk query — can be slow for global or large-area queries. Filter with locids, lat_lon/radius_km, or countries. <br><b>Prerequisites:</b> Use /location to obtain locids first for point queries. <br><b>Investigate:</b> Use to compare a recent season or year against the long-term baseline across many locations simultaneously. Combine with /climatetrends for trend context. <br><b>Augment:</b> Identifies which locations had the most anomalous season compared to their historical distribution. <br><b>Notes:</b> Metric format: 'max_t' = distribution of daily Maximum Temperature over the period; 'max_t.means' = distribution of annual means of max_t (1 value per year); 'rain_sum' (accumulations) and 'obs.is_thunderstorm' (counts) follow the same pattern. Returns: results, comp.locid, comp.geohash, comp.lat, comp.lon, comp.elev, comp.area, comp.country, comp.src_type, comp.metric, comp.obs_years, comp.base_years, comp.month, comp.obs_N, comp.base_N, comp.obs, comp.base, comp.obs.{q} / comp.base.{q}.