NOTE: all data and associated articles (listed below) require proper acknowlement, citation and referencing of all data when directly or indirectly using any archived file listed below. US-CoastEX provides: Extreme storm surge PREDICTIONS (ungauged sites): 1) BAYESL-TG (standard version): skew surge distributions from BAYEX model informed with annual maxima skew surge (m) from standard hourly tide gauge data only between 1950-2020. Filename #1: BAYEX-TG_GEV_PRED (name in data descriptor 'BAYESL-TG_GEV_PRED-TG') and 2) BAYESL-TG/EXT (extended): skew surge distributions from BAYEX model informed with annual maxima skew surge (m) from standard hourly tide gauge data only between 1950-2020 complemented with updated annual maxima extracted from additional complementary data sources (e.g., inferred extremes, last recorded extreme water levels, high water marks and other data). Filename #2: BAYEX-TG-EXT_GEV_PRED (name in data descriptor 'BAYESL-TG-EXT_GEV_PRED ') In each file, we provide: BAYEX GEV parameters at U.S. ungauged locations Indicator name Dimensions for GEV parameters (samples x sites x years - for μ) Units Latitude BAYEX_LAT_PRED 1712 (ungauged sites) Degrees Longitude BAYEX_LON_PRED 1712 (ungauged sites) Degrees Predicted Shape (ξ) BAYEX_GEV_SHAPE_PRED 6000 x 1712 - Predicted Scale (σ) BAYEX_GEV_SCALE_PRED 6000 x 1712 m Predicted Location (μ) BAYEX_GEV_LOC_PRED 6000 x 1712 x 71 (years) m Extreme sea level PREDICTIONS (ungauged sites): 1) BAYESL-TG (standard version): ESL data obtained by combining BAYEX-TG data with tidal peaks from TPXO9v5. Filename #3: BAYEX-TG_ESL_PRED (name in data descriptor 'BAYESL-TG_ESL_PRED ') Note: newer tidal products can be combined with BAYESL-TG data and 2) BAYESL-TG/EXT (extended): ESL data obtained by combining BAYEX-TG/EXT data with tidal peaks from TPXO9v5 Filename #4: BAYEX-TG-EXT_ESL_PRED (name in data descriptor 'BAYESL-TG_EXT_ESL_PRED ') Datum: ESL estimates are relative to mean sea level (MSL) as tidal elevations from TPXO are referenced to MSL. In each file, we provide: ESL return periods (up to 1000 years) at U.S. ungauged sites Indicator name Dimensions for ESL estimates (sites x return periods x percentile statistics: 50th, 5th and 95th) Units Latitude coordinates BAYEX_LAT_PRED 1712 (ungauged sites) Degrees Longitude coordinates BAYEX_LON_PRED 1712 (ungauged sites) Degrees Estimated return levels using Method 1 (Convolution)* BAYEX_RL_ESL_CONV_TPXO 1712 x 999 x 3 m Estimated return levels using Method 2 (MHW)* BAYEX_RL_ESL_MHW_TPXO 1712 x 999 x 3 m Estimated return levels using Method 2 (MHHW)* BAYEX_RL_ESL_MHHW_TPXO 1712 x 999 x 3 m Estimated return levels using Method 2 (HAT)* BAYEX_RL_ESL_HAT_TPXO 1712 x 999 x 3 m *represent different methods of combining extreme storm surge data with tidal peak data (see complementary articlesfor further details). The tidal data from TPXO can be found here (https://www.tpxo.net/global/tpxo10-atlas). Note: other tidal products can be combined with BAYESL-TG/TX data to obtain extreme sea level predictions from BAYEX data. Data limitations are discussed in its data descriptor listed below. NOTE: all data and associated articles (listed below) require proper acknowlement, citation and referencing of all data when directly or indirectly using any archived file listed above. Associated data descriptor: Morim, J., Rasmussen, D.J., Wahl, T. et al. US-CoastEX: Observation-based probabilistic reanalysis of storm surge and sea level extremes for United States (1950-2020). Scientific Data (2025). Associated research publications: Morim, J., Wahl, T., Rasmussen, D.J. et al. Observations reveal changing coastal storm extremes around the United States. Nature Climate Change (2025). https://doi.org/10.1038/s41558-025-02315-z Associated data: 1. Morim, J. (2024). National estimates of U.S. storm surge extremes and underlying long-term trends (1950-2020) using spatiotemporal non-stationary Bayesian Hierarchical Modeling [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10944076 BAYEX model: Calafat, F. M. (2024). BAYEX: Spatiotemporal Bayesian hierarchical modeling of extremes with max-stable processes (v3.0). Zenodo. https://doi.org/10.5281/zenodo.10967174 Media: https://cpree.princeton.edu/news/2025/researchers-uncover-clearer-patterns-extreme-storm-surge-trends-amid-rising-sea-levels