Olivier Caumont
YOU?
Author Swipe
View article: Assimilation of temperature and relative humidity observations from personal weather stations in AROME-France
Assimilation of temperature and relative humidity observations from personal weather stations in AROME-France Open
Personal weather station (PWS) networks owned by citizens now provide near-surface observations at a spatial density unattainable with standard weather stations (SWSs) deployed by national meteorological services. This article aims to asse…
View article: Severe-hail detection with C-band dual-polarisation radars using convolutional neural networks
Severe-hail detection with C-band dual-polarisation radars using convolutional neural networks Open
Radar has consistently been proven to be the most reliable source of information for the remote detection of hail within storms in real time. Currently, existing hail detection techniques have limited ability to clearly distinguish storms …
View article: Assimilation of temperature and relative humidity observations from personal weather stations in AROME-France
Assimilation of temperature and relative humidity observations from personal weather stations in AROME-France Open
Personal weather station (PWS) networks owned by citizens now provide near-surface observations at a spatial density unattainable with standard weather stations (SWSs) deployed by national meteorological services. This article aims to asse…
View article: Comment on egusphere-2024-1336
Comment on egusphere-2024-1336 Open
Abstract. Radar has consistently proven to be the most reliable source of information for the remote detection of hail within storms in real-time. Currently, existing hail detection techniques have limited ability to clear…
View article: Comment on egusphere-2024-1336
Comment on egusphere-2024-1336 Open
Abstract. Radar has consistently proven to be the most reliable source of information for the remote detection of hail within storms in real-time. Currently, existing hail detection techniques have limited ability to clear…
View article: Severe hail detection with C-band dual-polarisation radars using convolutional neural networks
Severe hail detection with C-band dual-polarisation radars using convolutional neural networks Open
Radar has consistently proven to be the most reliable source of information for the remote detection of hail within storms in real-time. Currently, existing hail detection techniques have limited ability to clearly distinguish storms that …
View article: Assimilation of surface pressure observations from personal weather stations in AROME-France
Assimilation of surface pressure observations from personal weather stations in AROME-France Open
Spatially dense surface pressure observations from personal weather stations (PWSs) are able to describe pressure patterns at the surface, such as those associated with convective events, in more detail than with standard weather stations …
View article: Assimilation of Satellite Lightning Data in a Storm-Scale Numerical Weather Prediction System Using a 3D-EnVar Data Assimilation Scheme
Assimilation of Satellite Lightning Data in a Storm-Scale Numerical Weather Prediction System Using a 3D-EnVar Data Assimilation Scheme Open
The objective of this study is to prepare the assimilation of the Meteosat Third Generation Lightning Imager (MTG-LI) observations in the regional numerical weather prediction model AROME-France using a 3D-EnVar data assimilation algorithm…
View article: Comment on nhess-2023-103
Comment on nhess-2023-103 Open
Abstract. Spatially dense surface pressure observations from personal weather stations (PWSs) have proved their ability to describe physical meteorological patterns, such as convective events, which are not visible with th…
View article: Comment on nhess-2023-103
Comment on nhess-2023-103 Open
Abstract. Spatially dense surface pressure observations from personal weather stations (PWSs) have proved their ability to describe physical meteorological patterns, such as convective events, which are not visible with th…
View article: Assimilation of Meteosat Third Generation (MTG) Lightning Imager (LI) pseudo-observations in AROME-France – proof of concept
Assimilation of Meteosat Third Generation (MTG) Lightning Imager (LI) pseudo-observations in AROME-France – proof of concept Open
This study develops a lightning data assimilation (LDA) scheme for the regional, convection-permitting numerical weather prediction (NWP) model AROME-France. The LDA scheme intends to assimilate total lightning, i.e., cloud-to-ground (CG) …
View article: Assimilation of surface pressure observations from personal weather stations in AROME-France
Assimilation of surface pressure observations from personal weather stations in AROME-France Open
Spatially dense surface pressure observations from personal weather stations (PWSs) have proved their ability to describe physical meteorological patterns, such as convective events, which are not visible with the only use of standard weat…
View article: Deep Learning for Hail Size Estimation Using Polarimetric Radar Data
Deep Learning for Hail Size Estimation Using Polarimetric Radar Data Open
<p align="justify">In 2022, convective storms producing large hailstones were responsible of significant damages in Europe, particularly in France, where the insurance sector was severely hit. As a result, prices for 2023 m…
View article: An optimal estimation algorithm for the retrieval of fog and low cloud thermodynamic and micro-physical properties
An optimal estimation algorithm for the retrieval of fog and low cloud thermodynamic and micro-physical properties Open
A new generation of cloud radars, with the ability to make observations close to the surface, presents the possibility of observing fog properties with better insight than was previously possible. The use of these instruments as part of an…
View article: A satellite lightning observation operator for storm-scale numerical weather prediction
A satellite lightning observation operator for storm-scale numerical weather prediction Open
This study aims at simulating satellite-measured lightning observations with numerical weather prediction (NWP) system variables. A total of eight parameters, calculated with the AROME-France NWP system variables, were selected from a lite…
View article: Assimilation of Meteosat Third Generation (MTG) Lightning Imager (LI) observations in AROME-France – Proof of Concept
Assimilation of Meteosat Third Generation (MTG) Lightning Imager (LI) observations in AROME-France – Proof of Concept Open
This study develops a Lightning Data Assimilation (LDA) scheme for the regional, convection-permitting NWP model AROME-France. The LDA scheme intends to assimilate total lightning, i.e., cloud-to-ground (CG) and inter- and intra-cloud (IC)…
View article: Added value of assimilating surface pressure observations from personal weather stations in AROME-France
Added value of assimilating surface pressure observations from personal weather stations in AROME-France Open
<p>The rise of connected objects, such as personal weather stations (PWSs), and the availability of their data, have opened up a new field of possibilities for real-time weather observation. For instance, the Netatmo PWS network meas…
View article: Optimal estimation of thermodynamic and microphysical profiles within fog events from ground-based microwave radiometer and cloud radar synergy.
Optimal estimation of thermodynamic and microphysical profiles within fog events from ground-based microwave radiometer and cloud radar synergy. Open
<p>
The fog lifecyle and more especially formation and dissipation times are still poorly represented in even the highest resolution operational numerical weather prediction (NWP) models, causing large economic costs in the…
View article: An observation operator for geostationary lightning imager data assimilation in storm-scale numerical weather prediction systems
An observation operator for geostationary lightning imager data assimilation in storm-scale numerical weather prediction systems Open
<p>In spite of the continuous improvement of numerical weather prediction (NWP) systems, thunderstorms remain hard to predict with accuracy. This difficulty partly results from a lack of observations to describe the initial state of …
View article: Comment on amt-2022-30
Comment on amt-2022-30 Open
A new generation of cloud radars, with the ability to make observations close to the surface, presents the possibility of observing fog properties with better insight than was previously possible. The use of these instruments as part of an…
View article: An observation operator for geostationary lightning imager data assimilation in the French storm-scale numerical weather prediction system AROME
An observation operator for geostationary lightning imager data assimilation in the French storm-scale numerical weather prediction system AROME Open
The Lightning Imager (LI) onboard the Meteosat Third Generation (MTG) satellites will provide total lightning observations continuously over Europe with a spatial resolution of a few kilometers. The objective of this study is to prepare th…
View article: An Optimal Estimation Algorithm for the Retrieval of Fog and Low Cloud Thermodynamic and Micro-physical Properties
An Optimal Estimation Algorithm for the Retrieval of Fog and Low Cloud Thermodynamic and Micro-physical Properties Open
A new generation of cloud radars, with the ability to make observations close to the surface, presents the possibility of observing fog properties with better insight than was previously possible. The use of these instruments as part of an…
View article: The impact of Ensemble-Based Assimilation of Thermodynamic Lidar Profiles on Forecasts of the Pre-Convective Environment and Convection Initiation of Heavy Precipitation Events over the Mediterranean region: The German contribution to WaLiNeAs
The impact of Ensemble-Based Assimilation of Thermodynamic Lidar Profiles on Forecasts of the Pre-Convective Environment and Convection Initiation of Heavy Precipitation Events over the Mediterranean region: The German contribution to WaLiNeAs Open
<p>Probabilistic quantitative precipitation forecasting (PrQPF) is a challenging field of meteorology, which is fundamental for the prediction and quantification of extreme precipitation events. With advanced remote-sensing instrumen…
View article: A Geostationary Lightning Pseudo-Observation Generator Utilizing Low-Frequency Ground-Based Lightning Observations
A Geostationary Lightning Pseudo-Observation Generator Utilizing Low-Frequency Ground-Based Lightning Observations Open
Coincident Geostationary Lightning Mapper (GLM) and National Lightning Detection Network (NLDN) observations are used to build a generator of realistic lightning optical signal in the perspective to simulate Lightning Imager (LI) signal fr…
View article: A network of water vapor Raman lidars for improving heavy precipitation forecasting in southern France: introducing the WaLiNeAs initiative
A network of water vapor Raman lidars for improving heavy precipitation forecasting in southern France: introducing the WaLiNeAs initiative Open
View article: A numerical study to investigate the roles of former Hurricane Leslie, orography and evaporative cooling in the 2018 Aude heavy-precipitation event
A numerical study to investigate the roles of former Hurricane Leslie, orography and evaporative cooling in the 2018 Aude heavy-precipitation event Open
In south-eastern France, the Mediterranean coast is regularly affected by heavy-precipitation events. On 14–15 October 2018, in the Aude department, a back-building quasi-stationary mesoscale convective system produced up to about 300 mm o…
View article: W-band radar observations for fog forecast improvement: an analysis of model and forward operator errors
W-band radar observations for fog forecast improvement: an analysis of model and forward operator errors Open
The development of ground-based cloud radars offers a new capability to continuously monitor fog structure. Retrievals of fog microphysics are key for future process studies, data assimilation, or model evaluation and can be performed usin…
View article: Benefit of microwave radiometer and cloud radar observations for data assimilation and fog process studies during the SOFOG3D experiment
Benefit of microwave radiometer and cloud radar observations for data assimilation and fog process studies during the SOFOG3D experiment Open
<p>Fog forecasts still remain quite inaccurate due to the complexity, non linearities and fine scale of the main physical processes driving the fog lifecycle. Additionally to the complex modelling of fog processes, current numerical …
View article: The heavy precipitation event of 14–15 October 2018 in the Aude catchment: a meteorological study based on operational numerical weather prediction systems and standard and personal observations
The heavy precipitation event of 14–15 October 2018 in the Aude catchment: a meteorological study based on operational numerical weather prediction systems and standard and personal observations Open
The case of the heavy precipitation event on 14 and 15 October 2018 which has led to severe flash flooding in the Aude watershed in south-western France is studied from a meteorological point of view using deterministic and probabilistic n…
View article: Thunderstorms in Corsica Island measured during the EXAEDRE aircraft campaign
Thunderstorms in Corsica Island measured during the EXAEDRE aircraft campaign Open
<p>The aim of this study is to enhance our understanding about the microphysical structure of convective cloud systems and its relationships to the ambient electrical field, and to assess the capability of a model to capture the clou…