Description

This repository contains Python scripts to perform analyses and create figures of the following article:

Lee, H., Jung, M., Carvalhais, N., Trautmann, T., Kraft, B., Reichstein, M., Forkel, M., and Koirala, S.: Diagnosing modeling errors in global terrestrial water storage interannual variability, Hydrol. Earth Syst. Sci., 27, 1531–1563, https://doi.org/10.5194/hess-27-1531-2023, 2023.

Disclaimer

This repository is created to support the manuscript mentioned above. Any usage beyond the intended purpose are the responsibility of the users.

Structure

• data: The model simulations and processed data sets, which can be accessed via https:zenodo.
  • SINDBAD_opti_Nov2021: Two sets of SINDBAD simulations. One is using MSWEP precipitation forcing in VEG_MSWEP directory. The other one is using gpcp1dd v1.3 precipitation forcing. For the set with gpcp1dd, the river water storage is in the Routing_VEG_3_0.5 directory.
  • h2m: Two sets of H2M simulations. One is using gpcp1dd v1.3 precipitation forcing, the other one is using MSWEP.
• script: scripts to perform the analyses and create figures. For the latter, scripts for corresponding figures are named as plot_fig#_r1.py.
  • calc_cov.py: the code to perform the covariance matrix analysis with examples of terrestrial water storage (TWS) interannual variability (IAV).
  • calc_detrend_data.py: the code to detrend time series with examples of TWS IAV.
  • calc_rsq_change_with_trimming.py: the code to calculate model performance (r2) with increasing the trimming percentage.
• plot: This directory stores figures created by scripts plot_fig#_r1.py in script directory.

Citation

@Article{hess-27-1531-2023, AUTHOR = {Lee, H. and Jung, M. and Carvalhais, N. and Trautmann, T. and Kraft, B. and Reichstein, M. and Forkel, M. and Koirala, S.}, TITLE = {Diagnosing modeling errors in global terrestrial water storage interannual variability}, JOURNAL = {Hydrology and Earth System Sciences}, VOLUME = {27}, YEAR = {2023}, NUMBER = {7}, PAGES = {1531--1563}, URL = {https://hess.copernicus.org/articles/27/1531/2023/}, DOI = {10.5194/hess-27-1531-2023} }

For the SINDBAD model, please cite:

@Article{hess-26-1089-2022, AUTHOR = {Trautmann, T. and Koirala, S. and Carvalhais, N. and G"untner, A. and Jung, M.}, TITLE = {The importance of vegetation in understanding terrestrial water storage variations}, JOURNAL = {Hydrology and Earth System Sciences}, VOLUME = {26}, YEAR = {2022}, NUMBER = {4}, PAGES = {1089--1109}, URL = {https://hess.copernicus.org/articles/26/1089/2022/}, DOI = {10.5194/hess-26-1089-2022} }

For the H2M model, please cite:

@Article{hess-26-1579-2022, AUTHOR = {Kraft, B. and Jung, M. and K"orner, M. and Koirala, S. and Reichstein, M.}, TITLE = {Towards hybrid modeling of the global hydrological cycle}, JOURNAL = {Hydrology and Earth System Sciences}, VOLUME = {26}, YEAR = {2022}, NUMBER = {6}, PAGES = {1579--1614}, URL = {https://hess.copernicus.org/articles/26/1579/2022/}, DOI = {10.5194/hess-26-1579-2022} }