Sea level anomaly extremes impact tropical Pacific islands, often with too little warning to mitigate risks. By compiling monthly sea level anomaly predictions from multiple statistical and dynamical (coupled ocean-atmosphere) models, which are typically skillful out to at least 6 months in the tropical Pacific, improved future outlooks are achieved. We deliver an experimental
real-time forecast of monthly mean sea level anomalies and information that can be used to reduce impacts associated with sea level extremes.
The Multi-model Ensemble Sea Level Forecasts for Tropical Pacific Islands product was developed by a partnership between scientists at the UHSLC, NOAA’s NCEI (Pacific Region) and Pacific ENSO Applications Climate Center, Australia’s Bureau of Meteorology seasonal forecasting operations, and New Zealand’s National Institute of Water and Atmospheric Research. This partnership combines resources to deliver the most recently available sea level predictions from multiple forecast models. By clicking on the map and forecast tab, you can check which models are available this month for each station.
Research efforts at the UH Sea Level Center to develop these forecasts were supported by the NOAA Modeling, Analysis, Predictions, and Projections program, the NOAA Ocean Observing and Monitoring Division, and the U.S. Department of the Interior through the Pacific Islands Climate Adaptation Science Center.
Solomon Islands. Photo courtesy Global Environment Facility via Flickr Creative Commons
Climate models are increasingly better able to simulate phenomena, such as the El Niño-Southern Oscillation, shown to be responsible for sea level variability in the tropical Pacific
. Utilizing the climate modeling success, each month, we compile sea level predictions into a multi-model forecast ensemble of the monthly sea level anomaly. Compared to forecasts relying on only one model, the multi-model forecasts are less sensitive to individual model errors and, thus, more accurate. A journal article describing the forecasting method, past performance, and potential applications is available here
Key information about the sea level forecasts:
- Forecasts are anomalies with respect to the average annual cycle of sea level for each region. That is, the model-specific climatology (1999–2010) is removed from the forecast.
- We also remove the recent long-term trend from each model’s prediction (e.g., for forecasts issued in 2017 the 1999–2015 trend is removed). A viewer of how sea level trends change regionally, with time, and between products is available here.
- For reference, the station forecast plots show the climatology (grey line) and trend (red bar) measured using satellite altimetry.
Key information about the tidal forecasts:
- Tidal predictions using harmonic analysis are provided for stations which have at least 24 months of hourly data available during the National Tidal Datum Epoch (NTDE; currently 1983–2001 for most stations).
- Hourly sea levels are shown with (red) or without (blue) the monthly sea level prediction (green). Sea levels are with respect to the station’s Mean Lower Low Water (MLLW) during the NTDE.
- The station Tide Tables show the times (Local Standard Time) and magnitudes of the highest and lowest daily tides either with (right column) or without (middle column) the multi-model mean sea level forecast anomaly included. Asterisks indicate extreme sea levels (compared to the highest or lowest 5% of astronomical tides during the NTDE).
Key information about the coastal impacts:
- For each station, we classify the sea level as “below-normal”, “normal”, or “above-normal” according to recent observations (vertical gauge).
- The multi-model forecast provides a sea level tendency for the next 3 months (“rising”, “falling”, or “continuing” arrows).
- Impacts of extreme sea levels include coastal inundation (high stands) or reef exposure (low stands).