15 citations as recorded by crossref.

1. Improving the estimation of snow depth in the Noah-MP model by combining particle filter and Bayesian model averaging Y. You et al.
2. An ensemble of 48 physically perturbed model estimates of the 1∕8° terrestrial water budget over the conterminous United States, 1980–2015 H. Zheng et al.
3. Spatiotemporal variation of water cycle components in Minjiang River Basin based on a correction method for evapotranspiration products M. Zheng et al.
4. Ensemble Estimation of Historical Evapotranspiration for the Conterminous U.S. M. Reitz et al.
5. Unified 0.25-degree gridded infrastructure-critical extreme weather for the United States from 1979 to 2100 T. Sun et al.
6. Challenges in applying water budget framework for estimating groundwater storage changes from GRACE observations M. Akl & B. Thomas
7. Variation Characteristics of Evapotranspiration and Water Consumption Effectiveness Evaluation in the Aksu River Basin Based on Multi-Source Data Fusion M. Yang et al.
8. Long‐Term Water Imbalances of Watersheds Resulting From Biases in Hydroclimatic Data Sets for Water Budget Analyses X. Tan et al.
9. Unpacking dasymetric modelling to correct spatial bias in environmental model outputs M. Kallio et al.
10. Integrated water resources trend assessments: State of the science, challenges, and opportunities for advancement S. Stackpoole et al.
11. A multi-objective comparative framework for Enhanced GRACE-Groundwater comparative analysis M. Akl et al.
12. Intercomparison of Runoff and River Discharge Reanalysis Datasets at the Upper Jinsha River, an Alpine River on the Eastern Edge of the Tibetan Plateau S. Chen et al.
13. MPR 1.0: a stand-alone multiscale parameter regionalization tool for improved parameter estimation of land surface models R. Schweppe et al.
14. Soil Moisture Satellite Data Under Scrutiny: Assessing Accuracy Through Environmental Proxies and Extended Triple Collocation Analysis A. Pataki et al.
15. HydroBench: Jupyter supported reproducible hydrological model benchmarking and diagnostic tool E. Moges et al.