Improving coastal water level estimation by merging nadir-only satellite altimetry data into a hydrodynamic model

Providing robust real-time flood warnings is of paramount importance to coastal communities. Although state-of-the-art hydrodynamic models are capable of robustly predicting coastal water levels (CWL), unresolved drivers affecting water level fluctuations are often not represented by the model governing equations. This work evaluates a novel method to improve the performance of the ADvanced CIRCulation (ADCIRC) hydrodynamic model by assimilating observations from four nadir-only satellite altimetry missions with a set of National Oceanic and Atmospheric Administration (NOAA) gauge stations located across the entire U.S. East Coast. Two different types of simulations were performed - open loop (OL) and data assimilation (DA). Five different simulations were performed in which four different satellite altimetry observations were assimilated individually and under two different scenarios - with and without considering the data quality flags. Results indicate that, despite their limited spatial coverage, merging nadir-only observations into ADCIRC from thenadir altimeter of the Surface Water and Ocean Topography (SWOT) can improve the model performance at 76% of the gauge locations, whereas Sentinel-6 improves it at 73% of the total locations, Jason-3 at 74%, and SARAL at 21%. Furthermore, combining observations from SWOT-nadir, Jason-3, and Sentinel-6 can improve the ADCIRC performance at more than 80% of the gauge locations for a 107-day simulation. Nadir-only satellite altimetry observations can be useful for improving the model performance even if flagged as "poor quality" near the coast. When the flagged data are disregarded, SWOT can improve ADCIRC at 78% of the gauge locations, Sentinel-6 at 73%, Jason-3 at 53%, and SARAL at 21%. The ability to improve the model simulations largely depends on the availability of a nearby satellite overpass. Therefore, model performance can be further enhanced if satellite observations are available during a storm surge event, stressing the importance of frequent satellite overpasses. RESEARCH HIGHLIGHTS: Nadir-only satellite altimetry improves storm surge model performance. Model skill increases when overpasses capture surge events. Multi-mission altimetry assimilation yields the highest overall accuracy.

Authors

Institutions

Publication Details

Journal
Environmental Monitoring and Assessment
Published
2026-03-14
DOI
https://doi.org/10.1007/s10661-026-15166-8
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving coastal water level estimation by merging nadir-only satellite altimetry data into a hydrodynamic model

Tyler Miesse, Soelem Aafnan Bhuiyan, Martin Henke, André de Souza de Lima et al.
Environmental Monitoring and Assessment
Flood Risk Assessment and Management
article

Improving coastal water level estimation by merging nadir-only satellite altimetry data into a hydrodynamic model

Tyler Miesse, Soelem Aafnan Bhuiyan, Martin Henke, André de Souza de Lima, Celso Ferreira, Viviana Maggioni
article en

Abstract

Providing robust real-time flood warnings is of paramount importance to coastal communities. Although state-of-the-art hydrodynamic models are capable of robustly predicting coastal water levels (CWL), unresolved drivers affecting water level fluctuations are often not represented by the model governing equations. This work evaluates a novel method to improve the performance of the ADvanced CIRCulation (ADCIRC) hydrodynamic model by assimilating observations from four nadir-only satellite altimetry missions with a set of National Oceanic and Atmospheric Administration (NOAA) gauge stations located across the entire U.S. East Coast. Two different types of simulations were performed - open loop (OL) and data assimilation (DA). Five different simulations were performed in which four different satellite altimetry observations were assimilated individually and under two different scenarios - with and without considering the data quality flags. Results indicate that, despite their limited spatial coverage, merging nadir-only observations into ADCIRC from thenadir altimeter of the Surface Water and Ocean Topography (SWOT) can improve the model performance at 76% of the gauge locations, whereas Sentinel-6 improves it at 73% of the total locations, Jason-3 at 74%, and SARAL at 21%. Furthermore, combining observations from SWOT-nadir, Jason-3, and Sentinel-6 can improve the ADCIRC performance at more than 80% of the gauge locations for a 107-day simulation. Nadir-only satellite altimetry observations can be useful for improving the model performance even if flagged as "poor quality" near the coast. When the flagged data are disregarded, SWOT can improve ADCIRC at 78% of the gauge locations, Sentinel-6 at 73%, Jason-3 at 53%, and SARAL at 21%. The ability to improve the model simulations largely depends on the availability of a nearby satellite overpass. Therefore, model performance can be further enhanced if satellite observations are available during a storm surge event, stressing the importance of frequent satellite overpasses. RESEARCH HIGHLIGHTS: Nadir-only satellite altimetry improves storm surge model performance. Model skill increases when overpasses capture surge events. Multi-mission altimetry assimilation yields the highest overall accuracy.

Environmental Monitoring and AssessmentVol. 198(4)
Pacific Northwest National Laboratory (US), George Mason University (US)
George Mason University, University of Texas at Austin
Life below water
Openalex Percentile: Top 21%
Flood Risk Assessment and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.