Articles | Volume 18, issue 4
https://doi.org/10.5194/gmd-18-921-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Advances in land surface forecasting: a comparison of LSTM, gradient boosting, and feed-forward neural networks as prognostic state emulators in a case study with ecLand
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