Dataset for the ``Fast atmospheric response to a cold oceanic mesoscale patch in the north-western tropical Atlantic" publication

The dataset presented here contains the files needed to produce the results presented in the publication "Fast atmospheric response to a SST mesoscale cold patch in the north-western subtropical Atlantic" submitted to the Journal of Geophysical Research: Atmospheres. The scripts that read and produce these files are publicly available at https://github.com/ClauClouds/SST-impact/ and can also be found in this repository (code_python.zip). This Zenodo data repository includes the following datasets:

Radiosonde data from 2-3 February 2020 (Stephan et al., 2021)

Doppler lidar, and ARTHUS Raman lidar variables data from 2-3 February 2020,

GOES-East (Geostationary Operational Environmental Satellite - East) Binary Cloud Mask (BCM) and Cloud Optical Depth (COD) products, provided at 2 km grid spacing every 10 minutes. They come from the GOES-R Advanced Baseline Imager (ABI) (Schmit et al., 2017), available at https://www.ncei.noaa.gov/products/satellite/goes-r-series.Data and they are provided for the 2-3 February 2020.

Multi-scale Ultra-high Resolution (MUR) product (JPL MUR MEaSUREs Project, 2015,183 (Chin et al., 2017)) averaged between the 2nd and 3rdfor the 2nd of February 2020. The MUR product is an analysis product provided on a daily basis that combines different satellite (infrared at high and medium resolutions and microwave products) and in-situ data (Chin et al., 2017).

W-band radar data post-processed for the purposes of the publication. The original W-band radar data used are publicly accessible at https://howto.eurec4a.eu/merian_cloudradar.html and can be downloaded via AERIS data portal. See more details and specific DOI below.

The present dataset is structured as follows:

diurnal_cycle_removed_vars: files containing the time series of the variables without noise and diurnal cycle  (filenames with extended dates 20200202 and 20200203)

diurnal_cycle: files containing the diurnal cycle of each variable used in the publication

binned_sst_vars: files containing variables binned in terms of SST, used to derive the plots in the paper.

satellite_data: a folder containing all satellite data used in the publication

Additional data used in the publication, that are processed via the scripts contained in the link mentioned above, are available online at the following urls:

cloud radar observations can be directly obtained from the public dataset identifiable via DOI: https://doi.org/10.25326/235 (Acquistapace et al., 2022)

ASCAT wind field data and corresponding MUR SST data are available from the NASA JPL PODAAC platform (https://podaac.jpl.nasa.gov/)

hourly ERA5 (Hersbach et al., 2020) gridded fields (available at https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-pressure-levels?tab=form, last accessed March 2022) of the following variables: SST, water vapor mixing ratio, air temperature, and horizontal wind components. 

References;

Acquistapace et al., 2022, ESSD, https://doi.org/10.25326/235.

Schmit, T.  et al., 2017, QJRMS, https://doi.org/10.1175/BAMS-D-15-00230.1

Hersbach et al., 2020, QJRMS, https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.3803

Stephan et al., 2021, ESSD, https://doi.org/10.5194/essd-13-491-2021

Chin, T. M. et al.,  (2017), RS, https://doi.org/10.1016/j.rse.2017.07.029