Figures for Global Land Water Storage Forecast Release 1 (GLWFC1.0)
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1. Figure Description
These figures are based on the GLWFC1.0 dataset and correspond to forecasts initialized each month starting from January 2024. Each figure follows the naming format:

FigYYMMLL.png

YY: Year of forecast initialization (e.g., 24 for 2024)

MM: Month of forecast initialization (01 to 12)

LL: Lead time in months ahead of initialization date (01 to 12)

Each figure visualizes the predicted global land total water storage anomalies (TWSA) for the given initialization and lead time.


2. Citation

Please cite the following references when using these figures in presentations, publications, or derivative works:

Li, F., Springer, A., Kusche, J., Gutknecht, B., Ewerdwalbesloh, Y. (2025). Reanalysis and Forecasting of Total Water Storage and Hydrological States by Combining Machine Learning With CLM Model Simulations and GRACE Data Assimilation. Water Resources Research, e2024WR037926.

Li, F., Kusche, J., Sneeuw, N., Siebert, S., Gerdener, H., Wang, Z., ... & Tian, K. (2024). Forecasting next year's global land water storage using GRACE data. Geophysical Research Letters, 51(17), e2024GL109101.


3. Contact

For questions or further information, please contact:

Fupeng Li
Institute of Geodesy and Geoinformation
Nussallee 17
D-53115 Bonn, Germany
fpli@uni-bonn.de