Distributed dynamic process model (DDPM) is a bidirectional coupling eco-hydrological model for (but not limited to) steppe inland river basins in arid and semi-arid regions, which is driven by meteorological data and developed by Dr. Mingyang Li and Prof. Tingxi Liu. And we also call it "MY eco-hydrology model". MY means “my”, which will be released as open source and gradually optimized and updated to get more support from researchers and better improve the model. The DDPM mainly includes evapotranspiration, runoff, confluence, grazing disturbance, carbon and nitrogen cycle, etc. It absorbs the advantages of various existing ecological models, hydrological models, as well as the framework and algorithm of eco-hydrological models.
You can get the example data at: https://zenodo.org/record/5787588.
Also, you can watch my report on MODSIM 2021 at https://www.bilibili.com/video/BV1vR4y1s7vc.
When using this dataset, please cite:
[1] Li, MY.; Liu, TX.; Duan, LM.; et al. Confluence simulations based on dynamic channel parameters in the grasslands lacking historical measurements. Journal of Hydrology, 2023, Volume 627, 130425. https://doi.org/10.1016/j.jhydrol.2023.130425
Our manuscripts are submitting and publishing, we wiil update the data and model in time.
We respect the contributions of every researcher, and for the development and use of more model functions, please contact me at myli.sdwri@gmail.com, and look forward to cooperating with you!