Emergence of statistical scaling in floods on channel networks from complex runoff dynamics

By Vijay K. Gupta. 2004

83 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/b3d70fe6d723bb83f6e649a7449bfd9909cc9f2d

How researchers see this paper

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

In Ecology

1. John Bougadis
2. K. Adamowski
3. L. Salazar
4. Germán Poveda
5. Jorge E. Pinzón
6. Compton J. Tucker

In Global and Planetary Change

1. John Bougadis
2. K. Adamowski
3. L. Salazar
4. Germán Poveda
5. Jorge E. Pinzón
6. Compton J. Tucker

In Water Science and Technology

1. John Bougadis
2. K. Adamowski
3. L. Salazar
4. Germán Poveda

Citations in the corpus

• Scaling model of a rainfall intensity‐duration‐frequency relationship (2006, background): “On the other hand, recently developed scaling concepts (Gupta, 2004) offer a new and better possibility to represent rainfall over different scales based on the empirical evidence that rainfall exhibits scale invariance symmetry.”
• Annual and interannual (ENSO) variability of spatial scaling properties of a vegetation index (NDVI) in Amazonia (2004, background): “For instance, in the study of river floods, Gupta (2004) has explained how scaling statistics in maximum annual river flows can be used to test different physical hypotheses covering complex runoff dynamics on channel networks.”