JOANNE: Joint dropsonde Observations of the Atmosphere in tropical North atlaNtic meso-scale Environments
<p>As part of the EUREC<span class="inline-formula"><sup>4</sup></span>A field campaign which took place over the tropical North Atlantic during January–February 2020, 1215 dropsondes from the HALO and WP-3D aircraft were deployed through 26 flights to charact...
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| Autores principales: | , , , , , , , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Copernicus Publications
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/1e0e53a4b4b64c0eac38ae179075cfa7 |
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| Sumario: | <p>As part of the EUREC<span class="inline-formula"><sup>4</sup></span>A field campaign which took place over the tropical North Atlantic during January–February 2020, 1215 dropsondes from the HALO and WP-3D aircraft were deployed through 26 flights to characterize the thermodynamic and dynamic environment of clouds in the trade-wind regions. We present JOANNE (Joint dropsonde Observations of the Atmosphere in tropical North atlaNtic meso-scale Environments), the dataset that contains these dropsonde measurements and the products derived from them. Along with the raw measurement profiles and basic post-processing of pressure, temperature, relative humidity and horizontal winds, the dataset also includes a homogenized and gridded dataset with 10 m vertical spacing. The gridded data are used as a basis for deriving diagnostics of the area-averaged mesoscale circulation properties such as divergence, vorticity, vertical velocity and gradient terms, making use of sondes dropped at regular intervals along a circular flight path. A total of 85 such circles, <span class="inline-formula">∼</span> 222 km in diameter, were flown during EUREC<span class="inline-formula"><sup>4</sup></span>A. We describe the sampling strategy for dropsonde measurements during EUREC<span class="inline-formula"><sup>4</sup></span>A, the quality control for the data, the methods of estimation of additional products from the measurements and the different post-processed levels of the dataset. The dataset is publicly available (<a href="https://doi.org/10.25326/246">https://doi.org/10.25326/246</a>, <span class="cit" id="xref_altparen.1"><a href="#bib1.bibx7">George et al.</a>, <a href="#bib1.bibx7">2021</a><a href="#bib1.bibx7">b</a></span>) as is the software used to create it (<a href="https://doi.org/10.5281/zenodo.4746312">https://doi.org/10.5281/zenodo.4746312</a>, <span class="cit" id="xref_altparen.2"><a href="#bib1.bibx5">George</a>, <a href="#bib1.bibx5">2021</a></span>).</p> |
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