Can discharge be used to inversely correct precipitation?

Manoj J, Ashish; Loritz, Ralf; Gupta, Hoshin; Zehe, Erwin

doi:10.5194/hess-29-6115-2025

Articles | Volume 29, issue 21

https://doi.org/10.5194/hess-29-6115-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-29-6115-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 29, issue 21

Research article

|

11 Nov 2025

Research article |

| 11 Nov 2025

Can discharge be used to inversely correct precipitation?

Ashish Manoj J, Ralf Loritz, Hoshin Gupta, and Erwin Zehe

Supplement

https://doi.org/10.5194/hess-29-6115-2025-supplement

Data sets

Caravan - A global community dataset for large-sample hydrology F. Kratzert et al. https://doi.org/10.5281/zenodo.10968468

Model code and software

Ash-Manoj/lstm_backward: LSTM Models for Manoj J et al. (2024) Ashish Manoj J https://doi.org/10.5281/zenodo.14161027

Ash-Manoj/Hy2DL_Caravan: Conceptual models for Manoj J et al. (2024) Ashish Manoj J https://doi.org/10.5281/zenodo.15051966

CATFLOW model Ashish Manoj J https://doi.org/10.5281/zenodo.10958813

Short summary

Traditional hydrological models typically operate in a forward mode, simulating streamflow and other catchment fluxes based on precipitation input. In this study, we explored the possibility of reversing this process, inferring precipitation from streamflow data, to improve flood event modelling. We then used the generated precipitation series to run hydrological models, resulting in more accurate estimates of streamflow and soil moisture.