On the correlation structure of continuous and discrete point rainfall
By Marco Marani. 2003
66 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/59c31f1448a6155cc879e61618ec7dde46056836
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Global and Planetary Change
- Simon Michael Papalexiou
- Demetris Koutsoyiannis
- Marco Marani
- X. Kergadallan
- P. Bernardara
- L. Hamm
- Franck Mazas
- Christoforos Pappas
Citations in the corpus
- A quick gap filling of missing hydrometeorological data (2014, background): “…different characteristics in terms of time dependence of the process, and they are commonly present in different hydrometeorological variables (e.g., runoff [Koutsoyiannis, 2013], precipitation [Marani, 2003], sea level pressure, and temperature [Percival et al., 2001; Stephenson et al., 2000]).”
- Non‐power‐law‐scale properties of rainfall in space and time (2005, methodology): “A scaling regime may also be identified at the largest aggregation scales whose lower boundary location is consistent with previous estimates of T = 20 80 hours [Marani, 2003].”
- A two-step framework for over-threshold modelling of environmental extremes (2014, background): “More precisely, environmental time series are often composed by dependent values because of the strong temporal autocorrelation (e.g. Zawadzky, 1987; Smith, 1988; Colombo et al., 1999; Walton, 2000; Marani, 2003; Bernardara et al., 2006).”