SF2Bench Water Level Monitoring Stations
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