scispace - formally typeset
D

David Labat

Researcher at University of Toulouse

Publications -  87
Citations -  5306

David Labat is an academic researcher from University of Toulouse. The author has contributed to research in topics: Karst & Climate change. The author has an hindex of 30, co-authored 76 publications receiving 4580 citations. Previous affiliations of David Labat include IM Flash Technologies & Centre national de la recherche scientifique.

Papers
More filters
Journal ArticleDOI

Evidence for global runoff increase related to climate warming

TL;DR: In this paper, an original statistical wavelet-based method for the reconstruction of the monthly discharges of worldwide largest rivers is proposed. But, the method is not suitable for the analysis of large watersheds.
Journal ArticleDOI

Changes in climate and land use have a larger direct impact than rising CO2 on global river runoff trends.

TL;DR: It is shown that land-use change plays an additional important role in controlling regional runoff values, particularly in the tropics, and its contribution is substantially larger than that of climate change.
Journal ArticleDOI

Recent advances in wavelet analyses: Part 1. A review of concepts

TL;DR: A multiresolution continuous wavelet analysis method is shown to significantly improve the determination of the temporal-scale structure of a given signal and the concept of wavelet entropy in bothContinuous wavelet cross-correlation and wavelet coherence are introduced allowing for an estimation of theporal evolution of aGiven hydrological or climatologic signal's complexity.
Journal ArticleDOI

Rainfall-runoff relations for karstic springs. Part II: Continuous wavelet and discrete orthogonal multiresolution analyses.

TL;DR: In this article, the wavelet transform is applied to rainfall rates and runoffs measured at different sampling rates, from daily to half-hourly sampling rate, to provide a simple interpretation of the distribution of energy between the different scales.
Journal ArticleDOI

Recent advances in wavelet analyses: Part 2—Amazon, Parana, Orinoco and Congo discharges time scale variability

TL;DR: In this article, wavelet analysis methods are applied to long-term hydrological and climatologic proxies, such as the Southern Oscillation and the North Atlantic Ocean, to suggest physical explanations for time-scale dependant relationships.