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Created: | Aug 31, 2023 at 12:24 a.m. | |
Last updated: | Mar 14, 2024 at 8:11 p.m. | |
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Abstract
Water levels in deltas and estuaries vary on multiple timescales due to coastal, hydrologic, meteorologic, geologic, and anthropogenic factors. These diverse factors increase uncertainty of and may bias relative sea level rise (RSLR) estimates. Baranes et al. (in review) evaluates RSLR in San Francisco Bay and the Sacramento-San Joaquin Delta, USA by applying a physics-based, nonlinear regression to 50 tide gauges. We estimate the spatially varying controls on daily mean water level for water years 2004-2022. Results show that median river flow causes water level variations of 10 mm-1.3 m, and high summertime pumping rates lower water level by up to 0.35 m. High (95th percentile) coastal water level perturbations, tidal-fluvial interaction, and wind forcing cause water level variations of -50-50, 0-70, and 0-60 mm, respectively. Removal of these interfering factors greatly improves RSLR estimates, narrowing 95% confidence intervals by 89-99% and removing bias due to recent drought. Results show that RSLR is spatially heterogeneous, with rates ranging from -2.8 to 12.9 mm y-1 (95% uncertainties <1 mm y-1). RSLR exceeds coastal SLR of 3.3 mm y-1 in San Francisco at 85% of stations. Thus, RSLR in the Delta is strongly influenced by local vertical land motion and will likely produce significantly different future flood risk trajectories. Datasets and scripts provided here can be used to run the regression model at Delta gauges.
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Spatial
Temporal
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readme.txt
Author: Hannah Baranes Gulf of Maine Research Institute hbaranes@gmri.org Created 30 August 2023 Run kj3_regression_fit_exp_coef.m to calculated modeled daily mean water level and model coefficients, exponents, and statistics using the regression approach described in Baranes et al. (in review). This script uses the function kj3_regression.m and data file daily_MWL_kj3_regression_vars.mat. The input data file daily_MWL_kj3_regression_vars.mat contains the following variables (see Baranes et al., in review for details): station: Names of tide gauge stations info: Metadata variable containing station latitude and longitude, staiton code, data source, time zone, datum info, and units dqIxFlag: Indices of stations where Baranes et al. found the regression did not perform well zone: Geographic zone of the station, where 1=bays and straits west of the Sacramento-San Joaquin Rivers confluence; 2=northern Delta; 3=southern Delta. The zone determines the regression formulation used for the station. dng: Vector of daily times in MATLAB's datenum format. Variables DWL, Q, E, T, C, and W all correspond to this time vector. DWL: Measured daily mean water level in meters, calculated by applying a 45-hour Lanczos filter to hourly gauge data, then taking the water level at 12:00 each day(to remove bias from tides because the tidal period is not an exact multiple of 24 hours) Q: Daily mean river discharge in m^3/s. Q{1}=Net Delta Outflow Index, from California Department of Water Resources Dayflow model; Q{2} = Net Delta Outflow Index minus exports (see E term); Q{3}=Sacramento River at Freeport (USGS station 11447650); Q{4}= San Joaquin River near Vernalis (USGS station 11303500) E: Daily mean exports in m^3/s, from Dayflow model T: Daily higher high water minus daily lower low water in meters at Point Reyes (NOAA station 9415020) C: Daily mean non-tidal coastal water level at Point Reyes in meters, calculated by detrending and detiding the hourly NOAA tide gauge record W: Daily mean wind speed at Port Chicago (NOAA station 9415144) in m/s; winds with azimuths from 315º through 135º are set to 0 Reference: Baranes, H., S. A. Talke, D. A. Jay & S. L. Dykstra (in review), Sea level rise and the drivers of daily water levels in the Sacramento-San Joaquin Delta. Scientific Reports.
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