Geoffrey Bessardon
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View article: High-Resolution Land Use Land Cover Dataset for Meteorological Modelling—Part 2: ECOCLIMAP-SG-ML an Ensemble Land Cover Map
High-Resolution Land Use Land Cover Dataset for Meteorological Modelling—Part 2: ECOCLIMAP-SG-ML an Ensemble Land Cover Map Open
While the surface of the Earth plays a key role in weather forecasting through its interaction with the atmosphere, in ensemble numerical weather predictions the uncertainty on the surface is only represented with perturbations in the para…
View article: The Cycle 46 Configuration of the HARMONIE-AROME Forecast Model
The Cycle 46 Configuration of the HARMONIE-AROME Forecast Model Open
The aim of this technical note is to describe the Cycle 46 reference configuration of the HARMONIE-AROME convection-permitting numerical weather prediction model. HARMONIE-AROME is one of the canonical system configurations that is develop…
View article: High-Resolution Land Use Land Cover Dataset for Meteorological Modelling—Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset
High-Resolution Land Use Land Cover Dataset for Meteorological Modelling—Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset Open
ECOCLIMAP-SG+ is a new 60 m land use land cover dataset, which covers a continental domain and represents the 33 labels of the original ECOCLIMAP-SG dataset. ECOCLIMAP-SG is used in HARMONIE-AROME, the numerical weather prediction model us…
View article: The hectometric modelling challenge: Gaps in the current state of the art and ways forward towards the implementation of 100‐m scale weather and climate models
The hectometric modelling challenge: Gaps in the current state of the art and ways forward towards the implementation of 100‐m scale weather and climate models Open
For a number of years research has been carried out in several centres which has demonstrated the potential benefits of 100‐m scale models for a range of meteorological phenomena. More recently, some meteorological services have started to…
View article: High-Resolution Land Use Land Cover Dataset for Meteorological Modelling–Part 2: ECOCLIMAP-SG-ML an Ensemble Land Cover Map
High-Resolution Land Use Land Cover Dataset for Meteorological Modelling–Part 2: ECOCLIMAP-SG-ML an Ensemble Land Cover Map Open
While the surface of the Earth plays a key role in weather forecasting through its interaction with the atmosphere, in ensemble numerical weather predictions the uncertainty on the surface is only represented with perturbations in the para…
View article: High-Resolution Land Use Land Cover Dataset for Meteorological Modelling – Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset
High-Resolution Land Use Land Cover Dataset for Meteorological Modelling – Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset Open
ECOCLIMAP-SG+ is a new 60~m land use land cover dataset, which covers a continental domain, and represents the 33 labels of the original ECOCLIMAP-SG dataset. ECOCLIMAP-SG is used in HARMONIE-AROME, the numerical weather prediction model u…
View article: The Cycle 46 Configuration of the HARMONIE-AROME Forecast Model
The Cycle 46 Configuration of the HARMONIE-AROME Forecast Model Open
The aim of this technical note is to describe the Cycle 46 reference configuration of the HARMONIE-AROME convection-permitting numerical weather prediction (NWP) model. HARMONIE-AROME is a configuration of the shared ALADIN-HIRLAM system, …
View article: Developement of a land cover map for hectometric numerical weather prediction using machine learning
Developement of a land cover map for hectometric numerical weather prediction using machine learning Open
Developing hectometric scale numerical weather prediction (NWP) models requires an accurate, high-resolution physiography dataset to represent surface heterogeneity in calculating surface-atmosphere exchanges. Land cover is one of the main…
View article: Physiography improvements in numerical weather prediction digital twin engines
Physiography improvements in numerical weather prediction digital twin engines Open
The next generation of numerical weather prediction model (so-called digital twin engines) will reach hectometric scale, for which the existing physiography databases are insufficient. Our work leverages machine learning and open-access da…
View article: Using machine learning to produce a cost-effective national building height map of Ireland to categorise local climate zones
Using machine learning to produce a cost-effective national building height map of Ireland to categorise local climate zones Open
ECOCLIMAP-Second Generation (ECO-SG) is the land-cover map used in the HARMONIE-AROME configuration of the shared ALADIN-HIRLAM Numerical Weather Prediction system used for short-range operational weather forecasting for Ireland. The ECO-S…
View article: Leveraging machine learning to produce a cost-effective national building height map of Ireland
Leveraging machine learning to produce a cost-effective national building height map of Ireland Open
<p>To represent surface thermal, turbulent and humidity exchanges, Numerical Weather Prediction (NWP) systems require a land-cover classification map to calculate sur-face parameters used in surface flux estimation. The latest land-c…
View article: Using machine learning to produce a very high-resolution land-cover map for Ireland and beyond
Using machine learning to produce a very high-resolution land-cover map for Ireland and beyond Open
<p>An accurate representation of surface processes is essential for weather forecasting as it is where most of the thermal, turbulent and humidity exchanges occur. The Numerical Weather Prediction (NWP) system, to represent these exc…
View article: LAI sensitivity testing in HARMONIE-AROME for NWP forecasting for Ireland
LAI sensitivity testing in HARMONIE-AROME for NWP forecasting for Ireland Open
<p>A good representation of surface processes is essential for weather forecasting as it is where most of the thermal, turbulent and humidity exchanges occur. One of the main goals in numerical weather prediction (NWP) at Met &#2…
View article: Using machine learning to produce a very high resolution land-cover map for Ireland
Using machine learning to produce a very high resolution land-cover map for Ireland Open
Land-cover classifications in the form of maps are required for numerical modelling of weather and climate. Such maps are often of coarse resolution and are infrequently updated. Here we propose a novel approach for land-cover classificati…
View article: Evaluation of Windsond S1H2 performance in Kumasi during the 2016 DACCIWA field campaign
Evaluation of Windsond S1H2 performance in Kumasi during the 2016 DACCIWA field campaign Open
Sparv Embedded, Sweden (http://windsond.com, last access: 22 February 2019), has answered the call for less expensive but accurate reusable radiosondes by producing a reusable sonde primarily intended for boundary-layer observations collec…
View article: Evaluation of Windsond S1H2 performance in Kumasi during the 2016 DACCIWA field campaign
Evaluation of Windsond S1H2 performance in Kumasi during the 2016 DACCIWA field campaign Open
Sparv Embedded, Sweden (http://windsond.com) has answered the call for less expensive but accurate reusable radiosondes by producing the Windsond S1H2. To evaluate the performance of the S1H2, in-flight comparisons between the Vaisala RS41…
View article: An overview of the diurnal cycle of the atmospheric boundary layer during the West African monsoon season: results from the 2016 observational campaign
An overview of the diurnal cycle of the atmospheric boundary layer during the West African monsoon season: results from the 2016 observational campaign Open
A ground-based field campaign was conducted in southern West Africa from mid-June to the end of July 2016 within the framework of the Dynamics–Aerosol–Chemistry–Cloud Interactions in West Africa (DACCIWA) project. It aimed to provide a hig…
View article: An overview of the diurnal cycle of the atmospheric boundary layer during the West African monsoon season: Results from the 2016 observational campaign
An overview of the diurnal cycle of the atmospheric boundary layer during the West African monsoon season: Results from the 2016 observational campaign Open
A ground-based field campaign was conducted in southern West Africa from mid June to the end of July 2016 within the framework of the Dynamics–Aerosol–Chemistry–Cloud Interactions in West Africa (DACCIWA) project. It aimed to provide a hig…
View article: The Dynamics–Aerosol–Chemistry–Cloud Interactions in West Africa Field Campaign: Overview and Research Highlights
The Dynamics–Aerosol–Chemistry–Cloud Interactions in West Africa Field Campaign: Overview and Research Highlights Open
The European Union (EU)-funded project Dynamics–Aerosol–Chemistry–Cloud Interactions in West Africa (DACCIWA) investigates the relationship between weather, climate, and air pollution in southern West Africa—an area with rapid population g…