HydroDA

Data assimilation algorithem developed for global-scale data assimilation using a physically based emperical localization technique.

HydroDA folder strucutre

-src
-out
-inp
-dat 
-img
-etc

src : contains source codes

out : output folder

inp : folder containg input runoff forcing

dat : folder containg river realted data

img : folder containing codes for preapring images

etc : folder containing code for miscellaneous

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Simple steps for HydroDA run

1. Download and compile CaMa-Flood (http://hydro.iis.u-tokyo.ac.jp/~yamadai/cama-flood/index.html) (Yamazaki et al 2011) model
2. Prepare observation data (e.g.: HydroWeb) : add the path to params.py file
3. Prepare physically-based empirical local patches (https://github.com/MenakaRevel/Empirical_LocalPatch) (Revel et al,. 2018, 2019) : add details to params.py file
4. Prepare runoff data in HydroDA/inp folder
5. Check river related data at HydroDA/dat folder {specially for anomaly or normalized assimilation}
6. Edit the settings at params.py and run_mool.sh at HydroDA/gosh
7. Compile HydroDA fortran codes using compile.sh

sh compile.sh "yes"

7. Edit the experiment name in run_mool.sh
8. Run run_mool.sh

qsub run_mool.sh

========================================================== Reference:

1. Revel, M., Yamazaki, D., & Kanae, S. (2018). Model Based Observation Localization Weighting Function for Amazon Mainstream. Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering), 74(5), I_157-I_162. https://doi.org/10.2208/jscejhe.74.5_I_157
2. Revel, M., Ikeshima, D., Yamazaki, D., & Kanae, S. (2019). A Physically Based Empirical Localization Method for Assimilating Synthetic SWOT Observations of a Continental-Scale River: A Case Study in the Congo Basin,Water, 11(4), 829. https://doi.org/10.3390/w11040829
3. Revel, M., Ikeshima, D., Yamazaki, D., & Kanae, S. (2020). A framework for estimating global‐scale river discharge by assimilating satellite altimetry. Water Resources Research, 1–34. https://doi.org/10.1029/2020wr027876
4. Yamazaki, D., Kanae, S., Kim, H., & Oki, T. (2011). A physically based description of floodplain inundation dynamics in a global river routing model. Water Resources Research, 47(4), 1–21. https://doi.org/10.1029/2010WR009726