A5090870045- Geophysics and Gravity Measurements
- GNSS positioning and interference
- Inertial Sensor and Navigation
- Smart Materials for Construction
- Hydrology and Drought Analysis
- Urban Heat Island Mitigation
- Soil Geostatistics and Mapping
- Air Quality Monitoring and Forecasting
- Climate variability and models
- Ionosphere and magnetosphere dynamics
- Noise Effects and Management
Institut national de l’information géographique et forestière
2020-2022
Université Paris Cité
2020-2022
Institut de physique du globe de Paris
2020-2022
Centre National de la Recherche Scientifique
2020-2022
Capgemini (France)
2022
University of Turin
2021
Délégation Paris 7
2021
Université Paris Nanterre
2020
AgroParisTech
2020
Abstract We assess the performance of different break detection methods on three sets benchmark data sets, each consisting 120 daily time series integrated water vapor differences. These differences are generated from Global Positioning System (GPS) measurements at sites worldwide, and numerical weather prediction reanalysis (ERA‐Interim) output, which serves as reference here. The includes homogeneous inhomogeneous sections with added nonclimatic shifts (breaks) in latter. Three variants...
Abstract With the purpose of revising World Meteorological Organization's Commission for Instruments and Methods Observation (WMO/CIMO) Guide #8 on weather stations siting, an experiment to evaluate metrologically maximum influence a paved road 2‐m air temperature measurements (“road siting effect”) has been designed, installed run in Italy. It consists 100‐m long array seven measurement stations, at increasing distances from local road, equipped with shielded Pt100 thermometers ancillary...
This study investigates the sensitivity of GNSSseg segmentation method to change in: GNSS data processing method, length time series (17 25 years), auxiliary used in integrated water vapor (IWV) conversion, and reference (ERA-Interim versus ERA5). Two sets (IGS repro1 CODE REPRO2015), representative first second IGS reprocessing, were compared. Significant differences found number positions detected change-points due different a priori ZHD models, antenna/radome calibrations, mapping...
Homogenization is an important and crucial step to improve the usage of observational data for climate analysis. This work motivated by analysis long series GNSS Integrated Water Vapour (IWV) data, which have not yet been used in this context. paper proposes a novel segmentation method called segfunc that integrates periodic bias heterogeneous, monthly varying, variance. The consists estimating first variance using robust estimator then iteratively. strategy allows use dynamic programming...
Homogenization is an important and crucial step to improve the usage of observational data for climate analysis. This work motivated by analysis long series GNSS Integrated Water Vapour (IWV) which have not yet been used in this context. paper proposes a novel segmentation method that integrates periodic bias heterogeneous, monthly varying, variance. The consists estimating first variance using robust estimator then iteratively. strategy allows use dynamic programming algorithm remains most...
<p>Homogenization is an important step to improve the quality of long-term observational data sets and estimate climatic trends. In this work, we use GNSSseg/GNSSfast segmentation packages that were developed by Quarello et al., 2020, for detection abrupt changes in mean Integrated Water Vapour (IWV) derived from GNSS measurements. The method works on difference IWV time series (GNSS – reference) order cancel out common variations enhance discontinuities due...
<div> <p>With the purpose of revising World Meteorological Organization’s Commission for Instruments and Methods Observation (WMO/CIMO) Guide #8 on weather stations siting, in framework EMPIR project ENV58 MeteoMet 2, an experiment to evaluate metrologically maximum influence a paved road 2-m air temperature measurements (“road siting effect”) has been designed, installed run Italy. It consists 100-m long...