We review recent advances in Object Oriented Spatial Statistics, a system of ideas,
algorithms and methods that allows the analysis of high dimensional and complex data …

Comparisons with ground-based correlative measurements constitute a key component in
the validation of satellite data on atmospheric composition. The error budget of these …

This paper proposes methods to detect outliers in functional data sets and the task of
identifying atypical curves is carried out using the recently proposed kernelized functional …

Radio occultation (RO) and radiosonde (RS) comparisons provide a means of analyzing
errors associated with both observational systems. Since RO and RS observations are not …

This paper is motivated by the fact that, although temperature readings made by Vaisala
RS41 radiosondes at GRUAN sites (https://www. gruan. org/, last access: 30 November …

The increasing interest in spatially correlated functional data has led to the development of
appropriate geostatistical techniques that allow to predict a curve at an unmonitored location …

Spatial Coverage of Monitoring Networks: A Climate Observing System Simulation
Experiment in: Journal of Applied Meteorology and Climatology Volume 56 Issue 12 (2017) …

Measurement uncertainty of atmospheric profiles obtained by radiosoundings is crucial in
climate change studies. This paper shows how the understanding of geographic gaps of …

Satellite product validation is a key to ensure the delivery of quality products for climate and
weather applications. To do this, a fundamental step is the comparison with other …

In this work we propose the use of functional data analysis (FDA) to deal with a very large
dataset of atmospheric aerosol size distribution resolved in both space and time. Data come …