Southern Europe and Western Asia Marine Heat Waves (SEWA-MHWs): a dataset based on macroevents

<p>This repository contains the SEWA-MHWs dataset, which consists of daily fields of Marine heatwaves (MHWs)&nbsp;macroevents, daily fields of MHWs&nbsp;characteristics, and daily fields of relevant atmospheric variables over&nbsp;Southern Europe and Western Asia region.&nbsp;It contains also the codes to detect MHWs macroevents and their characteristics. The SEWA-MHWs dataset is derived from the European Space Agency (ESA) Climate Change Initiative (CCI) Sea Surface Temperature (SST) v2.1 dataset and it covers the 1981-2016 period. This dataset is&nbsp;presented and described in detail in the &quot;Southern Europe and Western Asia Marine Heat Waves (SEWA-MHWs): a dataset based on macroevents&quot; manuscript by Giulia Bonino, Simona Masina, Giuliano Galimberti, and&nbsp;Matteo Moretti submitted to Earth System Science Data journal (Bonino et al., 2022).&nbsp;</p> <p>This repository contains 3 compressed (*.zip) folders:</p> <p>A) MHWs:&nbsp;it contains daily fields of MHWs macroevents, daily fields of MHWs&nbsp;characteristics</p> <ol> <li>SEWA_labels.nc: daily fields of labels. Each unique label represents a macro event.&nbsp;</li> <li>SEWA_IndStart.nc: daily fields of MHWs index start.</li> <li>SEWA_IndPeak.nc:&nbsp;daily fields of MHWs index peak.</li> <li>SEWA_IndEND.nc: daily fields of MHWs index end.</li> <li>SEWA_Category.nc: daily fields of MHWs categories.</li> <li>SEWA_IntMAx.nc:&nbsp;daily fields of MHWs maximum intensity [&deg;C].</li> <li>SEWA_IntMean.nc:&nbsp;daily fields of MHWs mean intensity [&deg;C].</li> </ol> <p>B) CODES: Python notebooks to detect MHWs macroevents and their characteristics.</p> <ol> <li>MHWs_stl.ipynb to detect MHWs and their characteristics</li> <li>SEWA_LABEL.ipynb: to generate the MHWs macroevents</li> <li>MHWs_filter.ipynb: to filter out the smallest macroevents</li> <li>STL_MarineHeatwaves.py: it contains the function &nbsp;&ldquo;detect_stl&rdquo; to detect MHWs using STL method used in MHW_stl.ipynb. This function is a modification of the &ldquo;detect&rdquo; function in the marineHeatWaves package created by Eric Oliver (<a href="https://github.com/ecjoliver/marineHeatWaves">https://github.com/ecjoliver/marineHeatWaves</a>).</li> </ol> <p>C) ATM: daily mean fields of relevant atmospheric variables taken from ERA5 (Hersbach et al., 2020,&nbsp;freely available at &nbsp;https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview). These data are subsets of the ERA5 dataset, after minimal post-processing manipulation. The area extracted for these meteorological parameters is slightly bigger than the SEWA region, allowing the investigation of remote influences and/or responses of these variables in relationship with MHWs macroevents. The covered area is from 10&deg;N to 70&deg;N in latitude and from 50&deg;W to 80&deg;E in longitude. The covered period is 1981-2016.</p> <ol> <li>SEWA_T2.nc: daily mean fields of 2 meter temperature [K]. &ldquo;2m temperature&rdquo; is the native variable name in ERA5 dataset. Unlike ERA5 dataset the data are provided as daily mean.</li> <li>SEWA_LAT.nc: daily mean fields of surface latent heat flux [W/m²]. &ldquo;Surface latent heat flux&rdquo; is the native variable name in ERA5 dataset. Unlike ERA5 the data are provided as daily mean and in W/m² instead of J/m².</li> <li>SEWA_SENS.nc: daily mean fields of surface sensible heat flux [W/m²]. &ldquo;Surface sensible heat flux&rdquo; &nbsp;is the native variable name in ERA5 dataset. Unlike ERA5 the data are provided as daily mean and in W/m²instead of J/m².</li> <li>SEWA_SLP.nc: daily mean fields of mean sea level pressure [Pa]. &ldquo;Surface pressure&rdquo; is the native variable name in ERA5 dataset. Unlike ERA5 the data are provided as daily mean.</li> <li>SEWA_WIND.nc: daily mean fields of 10 meter wind speed [m/s]. This variable is calculated from&nbsp;the wind components &ldquo;10m u-component of wind&rdquo; and &ldquo;10m v-component of wind&rdquo; of the ERA5 dataset. Unlike ERA5 the data are provided as daily mean.</li> <li>SEWA_SW.nc: daily mean fields of incoming solar radiation [W/m²]. &ldquo;Surface solar radiation downwards&rdquo; is the native variable name in ERA5 dataset. Unlike ERA5 the data are provided as daily mean and in W/m² instead of J/m².</li> </ol> <p>REFERENCES:</p> <p>Bonino, G., Masina, S., Galimberti, G., &amp; Moretti, M. (2022). Southern Europe and Western Asia marine heat waves (SEWA-MHWs): a dataset based on macro events.&nbsp;<em>Earth System Science Data Discussions</em>, 1-19.</p> <p>Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Hor&aacute;nyi, A., Mu&ntilde;oz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., et al.: The ERA5 global reanalysis, Quarterly Journal of the Royal Meteorological Society, 146, 1999&ndash;2049, 2020.</p>