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Near-term spatial hydrologic forecasting in Everglades, USA for landscape planning and ecological forecasting

June 27, 2020

Operational ecological forecasting is an emerging field that leverages ecological models in a new, cross-disciplinary way – using a real-time or nearly real-time climate forecast to project near-term ecosystem states. These applications give decision-makers lead time to anticipate and manage state changes that degrade ecosystem functions or directly impact humans. The Everglades Forecasting model (EverForecast) is an operational forecast model designed specifically for conservation management purposes including water management. It provides up to six-month forecasts of daily projected, spatially continuous stage values across the Everglades. We validated EverForecast quarterly to measured historical values at 207 gages (1 Jan 2000 – 31 Dec 2019). EverForecast hindcasted water stage accurately captured measured stage variation, with a low percentage of measured stage exceeding hindcasted values. Over the whole spatial extent, the mean RMSE is 20.98 cm, the mean MAE is 14.42 cm, and the mean MBE is 0.91 cm.

Publication Year 2020
Title Near-term spatial hydrologic forecasting in Everglades, USA for landscape planning and ecological forecasting
DOI 10.1016/j.envsoft.2020.104783
Authors Leonard G. Pearlstine, James M. Beerens, Gregg Reynolds, Saira Haider, Mark McKelvy, Kevin Suir, Stephanie Romanach, Jennifer H. Nestler
Publication Type Article
Publication Subtype Journal Article
Series Title Environmental Modelling and Software
Index ID 70210888
Record Source USGS Publications Warehouse
USGS Organization Wetland and Aquatic Research Center