SF2Bench Pump Station Monitoring Stations
Abstract
Time series data from 99 pump station monitoring stations (379 CSV files) in South Florida. Part of the SF2Bench dataset for compound flood forecasting research.This dataset contains 99 monitoring stations (379 CSV files) 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/PUMPArcGIS Online Feature Layer: https://services2.arcgis.com/FtJyXM7nBotS8g5t/arcgis/rest/services/sf2bench_pump_stations/FeatureServerAGOL Web Map: https://FIUGIS.maps.arcgis.com/home/item.html?id=fe3cd60e7f67423dae638f02aa062febTemporal Coverage: 1985-2023Spatial Coverage: South Florida region (Lon: -81.88 to -80.05, Lat: 25.20 to 28.80)Measurement Unit: RPMRelated 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
- 5 March 2026
- Language
- EN
- Document type
- Dataset