GLOBAL WATER LEVEL FORECAST

A web platform providing water level forecasts for over 20,000 stations worldwide, leveraging the GEOGLOWS ECMWF Streamflow Service (GESS) with corrections based on satellite-derived water levels from Hydroweb.

Structure

The platform is organized into three main components:

• tasks
  Includes scripts for preprocessing and postprocessing GEOGLOWS model data, as well as applying corrections based on water level observations from Hydroweb. Developed in Python, SQL, and Bash.

• backend
  Provides an API for data queries, generation of graphs, and analytical functionalities required by the platform. Developed using Django.

• frontend
  Offers the graphical user interface for interacting with the platform. Developed using Angular.

Dev Team

Contributors names and contact info:

• Juseth Chancay @jusethCS

• Jorge Luis Sánchez @jorgessanchez7

• Darlly Rojas @DarllyRojas

• Giovanni Romero @romer8

Inspiration

The Global Water Level Forecast platform is inspired by the National Water Level App developed by Rojas et al. (2025).

Darlly Rojas-Lesmes, Jorge Sanchez-Lozano, E. James Nelson, Juseth E. Chancay, Jhonatan Rodriguez-Chaves, Karina Larco-Erazo, E. Giovanni Romero, Mario Trujillo-Vela, Riley C. Hales, Daniel P. Ames, Angelica L. Gutierrez.(2025) National Water Level Forecast (NWLF): An Open-Source Customizable Web Application for the GEOGLOWS ECMWF Global Hydrological Model. Information Geography https://doi.org/10.1016/j.infgeo.2025.100008