Datasets for manuscript "Connected reservoirs: modelling aquatic ecosystems along a cascade system in Brazil"
Laura Melo Vieira Soares; Fernandes, Taynara; Silva, Talita Fernanda das Graças Silva; Rinke, Karsten; Calijuri, Maria do Carmo
- Publisher
- Zenodo
- Language
- en
Abstract
This dataset contains input files for simulating the hydrodynamics and water quality of six reservoirs (BB, BA, IB, PR, NA , TI) situated along the Tietê River (Brazil). The simulation uses the General Lake Model coupled with the Aquatic EcoDynamics (GLM-AED2). Together, these files enable the reproduction of long-term simulations (2008–2016) of thermal structure and ecological dynamics in the reservoirs. Each zipped folder includes: i) meteorological data (hourly resolution);ii) inflow and outflow boundary condition files with physical and biogeochemical parameters (e.g., flow, temperature, salinity, dissolved oxygen, nutrients, and phytoplankton);iii) configuration files (.nml) defining model setup, morphometry, mixing parameters, and water quality settings. GLM model: https://github.com/AquaticEcoDynamics/glm-aed AED2 model: https://aquaticecodynamics.github.io/aed-science/
Full text
Dataset | Connected reservoirs: modelling aquatic ecosystems along a cascade system in Brazil 1. Folder Structure The data for each reservoir (BB, BA, IB, PR, NA, TI) is provided in a separate folder (zipped before upload), containing: • `*_glm2.nml` – main GLM configuration file • `*_aed2.nml` – AED2 water quality configuration • `*_aed2_phyto_pars.nml` – phytoplankton parameter settings • `*_met_hourly.csv` – meteorological forcing (hourly resolution) • `*_inflow.csv` – inflow boundary conditions • `*_outflow.csv` – outflow boundary conditions • `README.md` – documentation of variables, units, and usage 2. Data format and units • Meteorology (`*_met_hourly.csv`): time (YYYY-MM-DD HH:MM), Shortwave (W/m²), Cloud (01), AirTemp (°C), RelHum (%), WindSpeed (m/s), and Rain (mm/h). • Inflows (`*_inflow.csv`): time (YYYY-MM-DD), flow (m³/s), temp (°C), salt (PSU), OXY_oxy (mg O₂/L), NIT_amm (mg N/L), NIT_nit (mg N/L), PHS_frp (mg P/L), PHY_green (µg Chl-a/L) • Outflows (`*_outflow.csv`): time (YYYY-MM-DD), flow (m³/s) 3. Reproducibility post-processing To reproduce results: • Download GLM-AED from the official website. • Place all files for a reservoir in the same directory. • Ensure file names match those referenced in the `*_glm2.nml` configuration. • Compile GLM with AED2 enabled. • Run the model. • Outputs include `output.nc` (full model results), `lake.csv` (daily summary), `WQ_*.csv` (time series at specific depths), `outlet_*.csv` (outflow conditions), and `overflow.csv`. Post-processing and visualization can be performed with `glm-py` (Python) or `glmtools` (Rstudio). More information about the model source code and new releases are available at GitHub. 4. Citation If using these datasets, please cite as DOI: [10.5281/zenodo.16888636] 5. License This dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0). You are free to share and adapt the material, provided appropriate credit is given.
