Catchment compatibility via copulas: A non-parametric study of the dependence structures of hydrological responses

By Salvatore Grimaldi, Andrea Petroselli, G. Salvadori, Carlo De Michele. 2016

54 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/fc0f7d25aea52292b6c03dc32e58bece09cc5c41

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. Reinhard Furrer
2. M. Brunner
3. Anne-Catherine Favre
4. Vijay P. Singh
5. Andrew J. Patton
6. Songbai Song
7. F. Serinaldi
8. Claudia Czado

In Water Science and Technology

1. Anne-Catherine Favre
2. M. Brunner
3. Reinhard Furrer

Citations in the corpus

• Modeling the spatial dependence of floods using the Fisher copula (2019, methodology): “…which might not be very relevant in the case of floods since they evolve along a river network A comparison of different distance measures (Euclidean, river distance, physiographi-cal distance) showed that river distance and distance regarding mean catchment elevation explained Kendall’s tau best.”
• Assessing the Predictability of an Improved ANFIS Model for Monthly Streamflow Using Lagged Climate Indices as Predictors (2019, background): “For a catchment which is not gauged for streamflow, implementing a proper interrelationship is considered a real example of the needs for such regionalization methodology and could be very valuable for a few motives [2].”