SF2Bench Groundwater Monitoring Stations
Abstract
Time series data from 582 groundwater monitoring stations in South Florida. Part of the SF2Bench dataset for compound flood forecasting research.This dataset contains 582 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/WELLArcGIS Online Feature Layer: https://services2.arcgis.com/FtJyXM7nBotS8g5t/arcgis/rest/services/sf2bench_well_stations/FeatureServerAGOL Web Map: https://FIUGIS.maps.arcgis.com/home/item.html?id=439a4b1842fb4f1b9f8e61472567ff7dTemporal 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
Hydrological Forecasting Using AI
Flood Risk Assessment and Management
Environmental Monitoring and Data Management
Publication details
- Journal / source
- FIU Research Data Portal
- Publication date
- 4 March 2026
- Language
- EN
- Document type
- Dataset