US coastal sea-level signals (tide gauges, rise gauges)
Monthly coastal sea-level signals from eight long-record NOAA CO-OPS tide gauges (The Battery, Atlantic City, Charleston, Mayport, Key West, San Francisco, Port Orford, Juneau): monthly mean sea level with 3-month and 12-month changes, 30-month change volatility, 3-sigma anomaly flags, naive-drift forecasts, trailing-10-year rise trends (mm/year), rise-acceleration flags, record-high flags, and fast-rise flags. The observed coastal sea-level lens on climate change — the ocean-surface consequence to co2-growth (driver) and city-climate-stress (heat). All rows normalized to country_code USA. Raw data: NOAA CO-OPS (keyless, public domain).
Quality
Attribution
NOAA Center for Operational Oceanographic Products (derived signals by Frontier Data Hub)
Schema
| Column | Type | Description |
|---|---|---|
| date | string | Reference month (first of month) for the monthly mean sea level. (unit: ISO date) |
| country | string | All stations are US tide gauges — country is 'United States'. |
| country_code | string | All stations are US tide gauges — country_code is 'USA'. |
| series_id | string | Connector station code, e.g. THE_BATTERY, SAN_FRANCISCO. |
| series_label | string | Station label, e.g. 'Monthly mean sea level, The Battery NY (8518750)'. |
| value | float | Monthly mean sea level (MSL) from the CO-OPS monthly_mean product. (unit: meters (station datum)) |
| momentum_3m | float | |
| yoy_change | float | |
| volatility_30d | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rise_trend_10y | float | |
| accel_flag | integer | |
| record_high_flag | integer | |
| fast_rise_flag | integer |
Sample rows
| date | country | country_code | series_id | series_label | value | momentum_3m | yoy_change | volatility_30d | anomaly_flag | forecast_1m | rise_trend_10y | accel_flag | record_high_flag | fast_rise_flag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1900-01-01 | United States | USA | SAN_FRANCISCO | Monthly mean sea level, San Francisco CA (9414290) | -0.121 | — | — | — | 0 | — | — | 0 | 1 | 0 |
| 1900-01-01 | United States | USA | THE_BATTERY | Monthly mean sea level, The Battery NY (8518750) | -0.462 | — | — | — | 0 | — | — | 0 | 1 | 0 |
| 1900-02-01 | United States | USA | SAN_FRANCISCO | Monthly mean sea level, San Francisco CA (9414290) | -0.194 | — | — | — | 0 | — | — | 0 | 0 | 0 |
| 1900-02-01 | United States | USA | THE_BATTERY | Monthly mean sea level, The Battery NY (8518750) | -0.432 | — | — | — | 0 | — | — | 0 | 1 | 0 |
| 1900-03-01 | United States | USA | SAN_FRANCISCO | Monthly mean sea level, San Francisco CA (9414290) | -0.173 | — | — | — | 0 | — | — | 0 | 0 | 0 |
Download sample data
Download the full sample snapshot for this dataset (sample rows, not the complete dataset).
Use with an LLM
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/us_sealevel_signals/us_coastal_sea_level_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/us_sealevel_signals/us_coastal_sea_level_signals").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/us_sealevel_signals/us_coastal_sea_level_signals
Tip: fetch /llms.txt for the full machine-readable catalog.