DOI: 10.5281/zenodo.10354898
title: Water levels at tide gauges from: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution

description: Important! There is a new version of this record correcting two errors documented at https://data.isimip.org/issues/55/. 

Data to reproduce the analysis of the Hourly Coastal water levels with Counterfactual (HCC) dataset, presented in the publication "Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution" published in Earth System Science Data (ESSD). 

Note that in this repository, water levels are only provided tide gauge locations which were used for the analysis presented in the paper. The full Hourly Coastal water levels with Counterfactual (HCC) dataset is published in the ISIMIP repository.

File Descriptions

HCC_analysis_and_plots.ipynb

This jupyter-notebook contains all scripts to produce the plots presented in the paper. Make sure that all necessary python packages are installed. The script assumes all netCDF files from this repository to be stored in a sub-directory called "data".

hcc_gesla3_99pctl_surge_2011_2015.nc

Extreme surge levels from 2011-2015 at 999 GESLA-3 tide gauge stations with at least 90 percent of data in the considered period. As astronomical tides are removed from the modeled and observed water levels to yield the surge component. The file also contains monthly relative water levels and monthly geocentric water levels from 1900-2015 from the HCC dataset.

Variables:



observed_99pctl_surge_level_anomaly -- 99th percentile of daily maximum surge level anomalies from 2011-2015

hcc_99pctl_surge_level_anomaly -- HCC surge level anomalies at the same time steps as observed_99pctl_surge_level_anomaly

hcc_counterfactual_99pctl_surge_level_anomaly -- HCC counterfactual surge levels at the same time steps as observed_99pctl_surge_level_anomaly

hcc_water_level_monthly – Monthly relative water level from 1900-2015

hcc_geocentric_water_level_monthly – Monthly geocentric water level from 1900-2015


hcc_hr_psmsl_water_level_monthly_1900_2015.nc

Monthly water levels at 663 PSMSL tide gauge stations of at least 20 year length and with at least 30 percent data coverage in the 1993-2012 period. The file contains data from the HCC, HR and PSMSL datasets. To align PSMSL and HR with HCC, the 1993-2012 average from PSMSL and HR is removed from each of those datasets respectively and the 1993-2012 average of HCC is added. The average is calculated only over all time steps where the associated observational record has valid data.

Variables:



hcc_water_level_monthly – Monthly relative water level from the HCC dataset

hr_aligned_water_level_monthly -- Monthly relative water level from the HR dataset, aligned with hcc_water_level_monthly

psmsl_aligned_water_level_monthly -- Monthly relative water level from the PSMSL database, aligned with hcc_water_level_monthly


hcc_codec_hr_gesla3_water_level_hourly_monthly_1979_2015.nc

Hourly water levels at 1040 GESLA-3 tide gauge stations which have at least 30 percent of valid observations between 1979 and 2015. The file contains data from the HCC, CoDEC, HR and GESLA-3 datasets. The different records are not vertically aligned.

Variables:



gesla3_water_level_hourly -- Hourly relative water level from the GESLA3 database

hcc_water_level_hourly -- Hourly relative water level from the HCC dataset

codec_water_level_hourly  -- Hourly relative water level from the CoDEC dataset

hr_water_level_monthly  -- Monthly relative water level from the HR dataset


 

hcc_gesla3_water_level_hourly_2011_2015.nc

Water levels from the HCC and GESLA-3 datasets, only for tide gauge stations with a complete record in the period 2011-2015 and associated HCC grid points.

Variables:



gesla3_water_level_hourly -- Hourly relative water level from the GESLA3 database

hcc_water_level_hourly -- Hourly relative water level from the HCC dataset


slr_ds_psmsl_selected.nc

Linear estimates of relative sea level rise from 1900 to 2015. Data is provided at 663 PSMSL tide gauge stations of at least 20 year length and with at least 30 percent data coverage in the 1993-2012 period. Estimates are calculated for the HCC, HR and PSMSL datasets.

Variables:



psmsl_rslr, psmsl_rslr_lower, psmsl_rslr_upper -- Relative sea level rise for PSMSL with lower and upper bounds for a 95 percent confidence interval

hcc_long_rslr, hcc_long_rslr_lower, hcc_long_rslr_upper -- Relative sea level rise for HCC with lower and upper bounds for a 95 percent confidence interval

hr_rslr, hr_rslr_lower, hr_rslr_upper --  Relative sea level rise for HR with lower and upper bounds for a 95 percent confidence interval


reg_mask_xr.nc

Split of the world into 7 ocean basins: Indian Ocean - South Pacific, Northwest Pacific, East Pacific, South Atlantic, Subtropical North Atlantic, Subpolar North Atlantic West and Subpolar North Atlantic East.

Variables:

reg_mask – Float value, representing the ocean basins

 
description: Acknowledgments
This research has received funding from the German Federal Ministry Ministry of Education and Research (BMBF) under the research projects QUIDIC (01LP1907A) and ISIAccess (16QK05), the European Union's Horizon 2020 research and innovation programme under  agreement No 820712grant, and is based upon work from COST Action CA19139 PROCLIAS (PROcess-based models for CLimate Impact Attribution across Sectors), supported by COST (European Cooperation in Science and Technology; https://www.cost.eu).
T.W. acknowledges support by NASA's Sea Level Change Team (award number 80NSSC20K1241) and the National Science Foundation (award numbers 1854896 and 2141461).
S.D. acknowledges support by NASA's Sea Level Change Team (award number 80NSSC20K1241) and David and Jane Flowerree for their endowment.