SF2Bench Water Level Monitoring Stations

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Authors: Xinyue Zheng, Chongjian Lin, Shigang Chen, Jian Liu, Dingbao Luo
Cited by: 0

Abstract

Time series data from 993 water level monitoring stations in South Florida. Part of the SF2Bench dataset for compound flood forecasting research.This dataset contains 993 monitoring stations with time series data collected across South Florida (Miami-Dade, Broward, Palm Beach, Martin, St. Lucie counties). The data is part of the SF2Bench benchmark dataset for evaluating data-driven models in compound flood forecasting.SF2Bench Master CollectionThis dataset is a component of the SF2Bench benchmark. Cite the master collection for the full multi-factor archive:Master DOI: doi:10.34703/gzx1-9v95/GCVWG7Data Access:Pelican OSDF: osdf://envistor/compound-flood/WATERArcGIS Online Feature Layer: https://services2.arcgis.com/FtJyXM7nBotS8g5t/arcgis/rest/services/sf2bench_water_stations/FeatureServerAGOL Web Map: https://FIUGIS.maps.arcgis.com/home/item.html?id=c2afbfdd1eb740b2bf1faf5a166ad641Temporal Coverage: 1985-2023Spatial Coverage: South Florida region (Lon: -81.88 to -80.05, Lat: 25.20 to 28.80)Measurement Unit: feetRelated Resources:Source Code: https://github.com/AslanDing/SFBench (Source code related to the paper)Paper: https://arxiv.org/abs/2506.04281Citation:Zheng, X., Lin, C., Chen, S., Chen, Z., Shi, J., Cheng, W., Obeysekera, J., Liu, J., & Luo, D. (2025). SF2Bench: Evaluating Data-Driven Models for Compound Flood Forecasting in South Florida. arXiv:2506.04281. https://arxiv.org/abs/2506.04281

Fields of Study & Subjects

Flood Risk Assessment and Management Hydrological Forecasting Using AI Environmental Monitoring and Data Management

Publication details

Journal / source
FIU Research Data Portal
Publication date
4 March 2026
Language
EN
Document type
Dataset