Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
December 13, 2010Hydrology and earth system sciencesOpen Access

Why hydrological predictions should be evaluated using information theory

View Full Paper
Ask AI
Bookmark
Share

Authors

SWSteven WeijsUniversity of British Columbia HospitalGSGerrit SchoupsDelft University of TechnologyNGNick van de GiesenDelft University of Technology

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

Weijs et al. (2010) studied this question.

synapsesocial.com/papers/6a156ea95347fbb1739fc728https://doi.org/10.5194/hess-14-2545-2010
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Corruption of accuracy and efficiency of Markov chain Monte Carlo simulation by inaccurate numerical implementation of conceptual hydrologic models2010 · 82 citations
  2. 2Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences1994 · 3,030 citations
  3. 3Information Theory and Statistical Mechanics1957 · 13,119 citations
  4. 4A stochastic approach for assessing the uncertainty of rainfall‐runoff simulations2004 · 275 citations
  5. 5Aims, challenges and progress of the Hydrological Ensemble Prediction Experiment (HEPEX) following the third HEPEX workshop held in Stresa 27 to 29 June 20072008 · 62 citations