S. Pool

Water Science and Technology · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom S. Pool trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Hoshin V. Gupta
  2. Henrik Madsen
  3. Koray K. Yilmaz
  4. Jan Seibert
  5. Andreas Efstratiadis
  6. M. Vis
  7. Soroosh Sorooshian
  8. H. Kling
  9. Thorsten Wagener

Who trusts S. Pool overall

  1. J. Lamontagne
  2. Caitline A. Barber

Papers from S. Pool's perspective

Ordered by how strongly the researchers S. Pool trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives
  2. Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods
  3. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
  4. A process‐based diagnostic approach to model evaluation: Application to the NWS distributed hydrologic model
  5. Individual Comparisons by Ranking Methods
  6. One decade of multi-objective calibration approaches in hydrological modelling: a review
  7. Which objective function to calibrate rainfall–runoff models for low-flow index simulations?
  8. Teaching hydrological modeling with a user-friendly catchment-runoff-model software package
  9. Smart low flow signature metrics for an improved overall performance evaluation of hydrological models
  10. The future of distributed models: model calibration and uncertainty prediction.

Their papers