This papers deals with ground experiments related to the future spaceborne BIOMASS mission for global forest biomass estimation. In the next, we present quickly the TropiScat campaign in French Guiana supported by the ESA and the CNES. The main aim of this campaign is to acquire a long term data acquisition that allows to estimate the temporal decorrelation and the radiometric signal of the tro...

The objective of this paper is to describe an autoregressive regression framework with respect to metered sewer flow and simultaneous rainfall data series. The main purpose is to produce more reliable estimates for rain derived inflow and infiltration RDII characteristics in a sanitary sewer basin. The discussion is centered at three specific points: 1 a justification for an autoregressive erro...

The objective of this paper is to establish relationships between rainfall extremes and damage data from Dutch insurance industry. Rainfall data are based on a network of 33 automatic rain gauges held by the Royal Netherlands Meteorological Institute. Rainfall characteristics, such as peak rainfall intensity and rainfall volume, are correlated with damage statistics of claims in the vicinity of...

This article is concerned with inference for a certain class of inhomogeneous Neyman-Scott point processes depending on spatial covariates. Regression parameter estimates obtained from a simple estimating function are shown to be asymptotically normal when the "mother" intensity for the Neyman-Scott process tends to infinity. Clustering parameter estimates are obtained using minimum contrast es...

We strongly believe that we should incorporate the information provided by geophysical sciences in insurance mathematics. This article is a first step in this direction. We provide a review of key results for multifractal models of rain and discuss their potential/relevance for hydro-meteorological disaster risk management. As a main result, we obtain an asymptotic expression for the tail proba...

This paper is concerned with parameter estimation for inhomogeneous spatial point processes with a regression model for the intensity function and tractable second order properties (K-function). Regression parameters are estimated using a Poisson likelihood score estimating function and in a second step minimum contrast estimation is applied for the residual clustering parameters. Asymptotic no...

The hypothesis that rainfall might be a case of self-organized critical dynamics is tested using long-term data sets from weather stations around the world. It is found that the distribution of droughts in semi-arid regions obeys indeed a clear-cut power law. The statistics for rain intensity, on the other hand, exhibits two distinct scaling regimes. c ©1998 Elsevier Science B.V. All rights res...

It is well known that in order to obtain meaningful results, radar measurements must be carried out according to specific rules. This requirement is even more strict for polarimetric measurements: a non accurate estimation of their values reflects usually in large discrepancies of the meteorological quantities of interest (e.g. rain intensity). Moreover, when polarimetric measurements are used ...

The purpose of this study was to investigate pollutant mass loading from major highways in Southern California, with emphasis on interpretation of event mean concentrations and first flush effects. The results of monitoring eight sites during the 1999-2002 storm seasons found that metal contaminants had higher concentrations at the early stages of storm events compared with other stages of rain...