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Ship- And island-based atmospheric soundings from the 2020 EUREC4A field campaign

  • Claudia Christine Stephan
  • , Sabrina Schnitt
  • , Hauke Schulz
  • , Hugo Bellenger
  • , Simon P. De Szoeke
  • , Claudia Acquistapace
  • , Katharina Baier
  • , Thibaut Dauhut
  • , Rémi Laxenaire
  • , Yanmichel Morfa-Avalos
  • , Renaud Person
  • , Estefanía Quiñones Meléndez
  • , Gholamhossein Bagheri
  • , Tobias Böck
  • , Alton Daley
  • , Johannes Güttler
  • , Kevin C. Helfer
  • , Sebastian A. Los
  • , Almuth Neuberger
  • , Johannes Röttenbacher
  • Andreas Raeke, Maximilian Ringel, Markus Ritschel, Pauline Sadoulet, Imke Schirmacher, M. Katharina Stolla, Ethan Wright, Benjamin Charpentier, Alexis Doerenbecher, Richard Wilson, Friedhelm Jansen, Stefan Kinne, Gilles Reverdin, Sabrina Speich, Sandrine Bony, Bjorn Stevens

Research output: Contribution to journalArticlepeer-review

Abstract

To advance the understanding of the interplay among clouds, convection, and circulation, and its role in climate change, the Elucidating the role of clouds-circulation coupling in climate campaign (EUREC4A) and Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign (ATOMIC) collected measurements in the western tropical Atlantic during January and February 2020. Upper-air radiosondes were launched regularly (usually 4-hourly) from a network consisting of the Barbados Cloud Observatory (BCO) and four ships within 6-16°N, 51-60°W. From 8 January to 19 February, a total of 811 radiosondes measured wind, temperature, and relative humidity. In addition to the ascent, the descent was recorded for 82 % of the soundings. The soundings sampled changes in atmospheric pressure, winds, lifting condensation level, boundary layer depth, and vertical distribution of moisture associated with different ocean surface conditions, synoptic variability, and mesoscale convective organization. Raw (Level 0), quality-controlled 1 s (Level 1), and vertically gridded (Level 2) data in NetCDF (Stephan et al., 2020) are available to the public at AERIS (https://doi.org/10.25326/137 https://doi.org/10.25326/137). The methods of data collection and post-processing for the radiosonde data set are described here.

Original languageEnglish
Pages (from-to)491-514
Number of pages24
JournalEarth System Science Data
Volume13
Issue number2
DOIs
Publication statusPublished - 18 Feb 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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