Boone et al. (2022) Campagne internationale sur les interactions de la surface terrestre avec l'atmosphère

Identification

• Journal: La Météorologie
• Year: 2022
• Authors: Aaron Boone, Guylaine Canut-Rocafort, Patrick Le Moigne, Joaquim Bellvert, Martin Best, Jennifer Brooke, J. D. Price, Joan Cuxart, Oscar Hartogensis, Josep Ramón Miró, Jan Polcher, Pere Quintana Seguí, Martin J. Wooster, Marie Lothon
• DOI: 10.37053/lameteorologie-2022-0005

Research Groups

The study involves a large international collaboration under the LIAISE Project, including researchers from various institutions, likely specializing in meteorology, hydrology, and land surface modeling. Key contributors include: * Aaron Boone * Guylaine Canut-Rocafort * Patrick Le Moigne * Joaquim Bellvert * Martin Best * Jennifer Brooke * Jeremy Price * Joan Cuxart * Oscar Hartogensis * Josep Ramon Miró * Jan Polcher * Pere Quintana-Seguí * Martin Wooster * Marie Lothon

Short Summary

This article serves as an announcement and description of the international LIAISE (Land-surface Interactions with the Atmosphere over the Iberian Semi-arid Environment) campaign, designed to collect comprehensive airborne and surface measurements to quantify the influence of irrigation on coupled hydrological and atmospheric processes in a semi-arid climate.

Objective

• To conduct a major international measurement campaign to gather high-resolution, coupled atmospheric and hydrological data necessary for understanding and quantifying the influence of irrigation practices on land surface-atmosphere interactions in a semi-arid environment.

Study Configuration

• Spatial Scale: Regional scale, focused on a semi-arid climate zone (implied Iberian Peninsula, based on the LIAISE acronym). Measurements cover areas affected by irrigation and surrounding natural landscapes.
• Temporal Scale: Field campaign duration (specific dates not provided, but typical of intensive observation periods, lasting several weeks to months).

Methodology and Data

• Models used: Not explicitly detailed in this announcement, but the collected data is intended for the validation and improvement of Land Surface Models (LSMs) and atmospheric models.
• Data sources:
  • Intensive Measurement Campaign (Campagne de mesure).
  • Airborne Measurement (Mesure aéroportée) systems for atmospheric boundary layer and surface flux characterization.
  • Hydrological measurements (Hydrologie) to monitor soil moisture and water usage.
  • Surface-atmosphere flux measurements (e.g., eddy covariance towers) to quantify energy and water exchanges (latent and sensible heat fluxes).

Main Results

• As an announcement, the main result is the successful execution and description of the international LIAISE campaign.
• The campaign successfully collected a unique dataset focusing on the sharp contrasts in energy and water fluxes between irrigated and non-irrigated areas within a semi-arid climate.
• The collected data provides a crucial resource for studying the feedback mechanisms between surface irrigation, the atmospheric boundary layer, and regional climate dynamics.

Contributions

• Announcement and detailed overview of a major, coordinated international field campaign (LIAISE Project).
• Provision of a novel, comprehensive dataset combining airborne and ground-based measurements specifically targeting the complex, non-linear effects of irrigation on land-atmosphere coupling in water-stressed regions.
• The data is essential for improving the representation of anthropogenic land use changes (irrigation) in Earth System Models.

Funding

• Projet Liaise (LIAISE Project). (Specific reference codes are not provided in the text.)

Citation

@article{Boone2022Campagne,
  author = {Boone, Aaron and Canut-Rocafort, Guylaine and Moigne, Patrick Le and Bellvert, Joaquim and Best, Martin and Brooke, Jennifer and Price, J. D. and Cuxart, Joan and Hartogensis, Oscar and Miró, Josep Ramón and Polcher, Jan and Quintana‐Seguí, Pere and Wooster, Martin J. and Lothon, Marie},
  title = {Campagne internationale sur les interactions de la surface terrestre avec l'atmosphère},
  journal = {La Météorologie},
  year = {2022},
  doi = {10.37053/lameteorologie-2022-0005},
  url = {https://doi.org/10.37053/lameteorologie-2022-0005}
}

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