This dataset includes the Met Office HadGEM3 model output prepared for SPECS SolarIrradiance(1960-2008). These data were prepared by the Met Office Hadley Centre, as part of the SPECS project. Model id is HadGEM3 (DePreSys2 HadGEM3 v3.0 (2014); atmosphere: UM (GA3.0) ; ocean: NEMO (v3.2, ORCA1) ; coupler: OASIS3 (v3); sea ice: CICE), frequency is monthly. Monthly atmos variables: clt hfls hfss mrso pr psl rls rlut rsds rsdt rss rsut ta tas uas vas zg

The BICEP/NCEO: Monthly global Particulate Organic Carbon (POC) v5 datasets contain POC concentrations (mg m^-3) with per pixel uncertainties estimates gridded on both geographic and sinusoidal projections at 4 km spatial resolution for the period of 1997 to 2020. The POC products were generated as part of the European Space Agency (ESA) Biological Pump and Carbon Exchange Processes (BICEP) project with support from the National Centre of Earth Observation (NCEO). The POC datasets have been produced by using a modified empirical band ratio algorithm by Stramski et al. (2008): 292*Rrs(490)/Rrs(560)^-1.49. Additional variables that were used for the calculation of the POC products are also provided in the datasets, including the Remote Sensing Reflectance (Rrs) at 490 nm and 560 nm obtained from the ESA Ocean Colour Climate Change Initiative version 5 dataset (OC-CCI v5). For more details on the algorithm and its validation, please see the BICEP Algorithm Theoretical Basis Document (ATBD) and validation report (https://bicep-project.org/Home). A related dataset based on the ESA Ocean Colour Climate Change Initiative v4.2 data is also available (see link in the related records section).

This dataset includes the CNRM-CM5-HRA-HRO model output prepared for SPECS horizlResImpact (1993-2009). These data were prepared by the Centre National de Recherches Meteorologiques, as part of the SPECS project. Model id is CNRM-CM5-HRA-HRO, frequency is daily, associated model is atmo HR ocean HR. Arpege V5.1 is the underlying model (CNRM-CM5 2013 atmosphere:Arpege (tl359l31r); ocean:Nemo (Orca0.25); sea-ice:none; land:isba). variables available are: - Precipitation flux (pr) in kg m-2 s-1 - Air Temperature (tas) in degree Kelvin - Geopotential height (zg) in metres

Atmosphere and Ocean components; Frequency: daily and monthly Variables Atmosphere daily: tas uas vas zg500 Variables Atmosphere monthly: cl clt evspsbl hfss hus prc prw rlds rlut rsds rsdt rsuscs rsutcs ta tauu ua va wap cli clw hfls hurs pr prsn psl rlus rlutcs rsdscs rsus rsut sfcWind tas tauv uas vas zg500 Variables Ocean daily: rsdssi sic sit snc snd snw tsice usi vsi Variables Ocean monthly: htovovrt mlotst msftmyz rsdssi sic sit sltovovrt snd so sos thetao tos tsice uo vo

Data for Figure 3.41 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 3.41 is a summary figure showing simulated and observed changes in key large-scale indicators of climate change across the climate system, for continental, ocean basin and larger scales.  --------------------------------------------------- How to cite this dataset --------------------------------------------------- When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates: Eyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005. --------------------------------------------------- Figure subpanels --------------------------------------------------- The data of each panel is provided in a single file. --------------------------------------------------- List of data provided --------------------------------------------------- This datasets contains global and regional anomaly time-series for: - near-surface air temperature (1850-2020) - precipitation (1950-2014) - sea ice extent (1979-2014) - ocean heat content (1850-2014) --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- near-surface air temperature (tas) -fig_3_41_tas_global.nc, fig_3_41_tas_land.nc, fig_3_41_tas_north_america.nc, fig_3_41_tas_central_south_america.nc, fig_3_41_tas_europe_north_africa.nc, fig_3_41_tas_africa.nc, fig_3_41_tas_asia.nc, fig_3_41_tas_australasia.nc, fig_3_41_tas_antarctic.nc: brown line: exp = 0, stat = 0 (mean); shaded region: stat = 1 (5th percentile) and 2 (95th percentile) green line: exp = 1, stat = 0 (mean); shaded region: stat = 1 (5th percentile) and 2 (95th percentile) black line: exp = 4, stat = 0 (mean) ocean heat content (ohc) -fig_3_41_ohc_global.nc: brown line: ncl5 = 0, ncl6 = 0 (mean); shaded region: ncl6 = 1 (5th percentile) and 2 (95th percentile) green line: ncl5 = 1, ncl6 = 0 (mean); shaded region: ncl6 = 1 (5th percentile) and 2 (95th percentile) black line: ncl5 = 2, ncl6 = 0 (mean) precipitation (pr) -fig_3_41_pr_60N_90N.nc: brown line: exp = 0, stat = 0 (mean); shaded region: stat = 1 (5th percentile) and 2 (95th percentile) green line: exp = 1, stat = 0 (mean); shaded region: stat = 1 (5th percentile) and 2 (95th percentile) black line: exp = 2, stat = 0 (mean) sea ice extent (siconc) -fig_3_41_siconc_nh.nc, fig_3_41_siconc_sh.nc: brown line: exp = 0, stat = 0 (mean); shaded region: stat = 1 (5th percentile) and 2 (95th percentile) green line: exp = 1, stat = 0 (mean); shaded region: stat = 1 (5th percentile) and 2 (95th percentile) black line: exp = 2, stat = 0 (mean) The ensemble spread (shaded regions) of CMIP6 data shown in figure 3.41 are the mean, 5th and 95th percentiles. The in-file metadata labels the same ensemble spread with mean, min and max. --------------------------------------------------- Sources of additional information --------------------------------------------------- The following weblinks are provided in the Related Documents section of this catalogue record: - Link to the report component containing the figure (Chapter 3) - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1 - Link to the code for the figure, archived on Zenodo - Link to the figure on the IPCC AR6 website

Data for Figure 3.16 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 3.16 shows observed and simulated changes in Hadley cell extent and Walker circulation strength. --------------------------------------------------- How to cite this dataset --------------------------------------------------- When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates: Eyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005. --------------------------------------------------- Figure subpanels --------------------------------------------------- The figure has six panels, with data provided for all panels in subdirectories named panel_a, panel_b, panel_c, panel_d, panel_e and panel_f. --------------------------------------------------- List of data provided --------------------------------------------------- This dataset contains: - Modelled and observed trends of the Northern Hemisphere annual-mean subtropical edge latitude of the Hadley cell for 1980-2014 - Modelled and observed trends of the Southern Hemisphere annual-mean subtropical edge latitude of the Hadley cell for 1980-2014 - Modelled and observed trends of the Southern Hemisphere December-January-February subtropical edge latitude of the Hadley cell for 1981-2000 - Modelled and observed trends of the annual-mean Walker circulation strength for 1901-2010 - Modelled and observed trends of the annual-mean Walker circulation strength for 1951-2010 - Modelled and observed trends of the annual-mean Walker circulation strength for 1980-2014 --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- Panel a: - lat in panel_a/NHedge_ANN_1980-2014_ERA-Interim.nc; black dotted line - lat in panel_a/NHedge_ANN_1980-2014_ERA5.nc; black solid line - lat in panel_a/NHedge_ANN_1980-2014_JRA-55.nc; black dash-dotted line - lat in panel_a/NHedge_ANN_1980-2014_MERRA2.nc; black dashed line - lat in panel_a/NHedge_ANN_1980-2014_cmip5hist.nc; multimodel ensemble mean and percentiles for red open box-whisker - lat in panel_a/NHedge_ANN_1980-2014_cmip6GHG.nc; multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots - lat in panel_a/NHedge_ANN_1980-2014_cmip6aer.nc; multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots - lat in panel_a/NHedge_ANN_1980-2014_cmip6amip.nc; multimodel ensemble mean and percentiles for orange open box-whisker - lat in panel_a/NHedge_ANN_1980-2014_cmip6hist.nc; multimodel ensemble mean and percentiles for red open box-whisker, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots - lat in panel_a/NHedge_ANN_1980-2014_cmip6nat.nc; multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots - lat in panel_a/NHedge_ANN_1980-2014_cmip6stratO3.nc; multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots - lat in panel_a/NHedge_ANN_35yrs_cmip6pi.nc; multimodel ensemble mean and percentiles for blue open box-whisker Panel b: As Panel a, but with - lat in panel_b/SHedge_ANN_1980-2014_ERA-Interim.nc - lat in panel_b/SHedge_ANN_1980-2014_ERA5.nc - lat in panel_b/SHedge_ANN_1980-2014_JRA-55.nc - lat in panel_b/SHedge_ANN_1980-2014_MERRA2.nc - lat in panel_b/SHedge_ANN_1980-2014_cmip5hist.nc - lat in panel_b/SHedge_ANN_1980-2014_cmip6GHG.nc - lat in panel_b/SHedge_ANN_1980-2014_cmip6aer.nc - lat in panel_b/SHedge_ANN_1980-2014_cmip6amip.nc - lat in panel_b/SHedge_ANN_1980-2014_cmip6hist.nc - lat in panel_b/SHedge_ANN_1980-2014_cmip6nat.nc - lat in panel_b/SHedge_ANN_1980-2014_cmip6stratO3.nc - lat in panel_b/SHedge_ANN_35yrs_cmip6pi.nc Panel c: As Panel a, but with - lat in panel_c/SHedge_DJF_1981-2000_ERA-Interim.nc; ERA-Interim - lat in panel_c/SHedge_DJF_1981-2000_ERA5.nc; ERA5 - lat in panel_c/SHedge_DJF_1981-2000_JRA-55.nc; JRA-55 - lat in panel_c/SHedge_DJF_1981-2000_MERRA2.ncl MERRA2 - lat in panel_c/SHedge_DJF_1981-2000_cmip5hist.nc; CMIP5 historical-RCP4.5 - lat in panel_c/SHedge_DJF_1981-2000_cmip6GHG.nc; CMIP6 hist-GHG - lat in panel_c/SHedge_DJF_1981-2000_cmip6aer.nc; CMIP6 hist-aer - lat in panel_c/SHedge_DJF_1981-2000_cmip6amip.nc; CMIP6 AMIP - lat in panel_c/SHedge_DJF_1981-2000_cmip6hist.nc; CMIP6 historical - lat in panel_c/SHedge_DJF_1981-2000_cmip6nat.nc; CMIP6 hist-nat - lat in panel_c/SHedge_DJF_1981-2000_cmip6stratO3.nc; CMIP6 hist-stratO3 - lat in panel_c/SHedge_DJF_20yrs_cmip6pi.nc; CMIP6 piControl Panel d: - dslp in panel_d/WalkerStrength_ANN_1901-2010_20CRv3.nc; max-min range for grey diagonal hatching - dslp in panel_d/WalkerStrength_ANN_1901-2010_CERA-20C.nc; max-min range for grey vertical hatching - dslp in panel_d/WalkerStrength_ANN_1901-2010_ERA-20C.nc; grey dashed line - dslp in panel_d/WalkerStrength_ANN_1901-2010_HadSLP2.nc; grey solid line - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip5hist.nc; multimodel ensemble mean and percentiles for red open box-whisker - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip6GHG.nc; multimodel ensemble mean and confidence interval for brown filled box, with ensemble means of individual models for black dots - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip6aer.nc; multimodel ensemble mean and confidence interval for light blue filled box, with ensemble means of individual models for black dots - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip6amip-hist.nc; multimodel ensemble mean and percentiles for orange open box-whisker - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip6hist.nc; multimodel ensemble mean and percentiles for red open box-whisker, and multimodel ensemble mean and confidence interval for red filled box, with ensemble means of individual models for black dots - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip6nat.nc; multimodel ensemble mean and confidence interval for green filled box, with ensemble means of individual models for black dots - dslp in panel_d/WalkerStrength_ANN_1901-2010_cmip6stratO3.nc; multimodel ensemble mean and confidence interval for purple filled box, with ensemble means of individual models for black dots - dslp in panel_d/WalkerStrength_ANN_110yrs_cmip6pi.nc; multimodel ensemble mean and percentiles for blue open box-whisker Panel e: As Panel d, but with - dslp in panel_e/WalkerStrength_ANN_1951-2010_20CRv3.nc - dslp in panel_e/WalkerStrength_ANN_1951-2010_CERA-20C.nc - dslp in panel_e/WalkerStrength_ANN_1951-2010_ERA-20C.nc - dslp in panel_e/WalkerStrength_ANN_1951-2010_HadSLP2.nc - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip5hist.nc - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip6GHG.nc - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip6aer.nc - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip6amip-hist.nc - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip6hist.nc - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip6nat.nc - dslp in panel_e/WalkerStrength_ANN_1951-2010_cmip6stratO3.nc - dslp in panel_e/WalkerStrength_ANN_60yrs_cmip6pi.nc Panel f: As Panel d, but with - dslp in panel_f/WalkerStrength_ANN_1980-2014_20CRv3.nc - dslp in panel_f/WalkerStrength_ANN_1980-2014_ERA-Interim.nc; black dotted line - dslp in panel_f/WalkerStrength_ANN_1980-2014_ERA5.nc; black solid line - dslp in panel_f/WalkerStrength_ANN_1980-2014_JRA-55.nc; black dashed-dotted line - dslp in panel_f/WalkerStrength_ANN_1980-2014_MERRA2.nc; black dashed line - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip5hist.nc - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip6GHG.nc - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip6aer.nc - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip6amip-hist.nc - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip6hist.nc - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip6nat.nc - dslp in panel_f/WalkerStrength_ANN_1980-2014_cmip6stratO3.nc - dslp in panel_f/WalkerStrength_ANN_35yrs_cmip6pi.nc Acroynms: Ann - Annual GHG - Greenhouse gas, aer - aerosol, CMIP - Coupled Model Intercomparison Project, 20CRv3 - NOAA-CIRES-DOE Twentieth Century Reanalysis (V3), CERA-20C - Coupled climate reanalyses of the 20th century, HadSLP2 - Hadley Centre Sea Level Pressure dataset (HadSLP2), AMIP - Atmospheric Model Intercomparison Project (AMIP), JRA - The Japanese 55-year Reanalysis (JRA-55), MERRA-2 - Global Modeling and Assimilation Office - NASA. --------------------------------------------------- Notes on reproducing the figure from the provided data --------------------------------------------------- Ensemble mean, interquartile ranges and 5th and 95th percentiles are calculated after weighting individual members with the inverse of the ensemble size of the same model, i.e. the inverse of the numbers given as the esize attribute in each variable. Suppose X(i) is the array of lat, and w(i) is the corresponding weight. - Mean should be suｍ_i(X(i) * w(i)) / sum_i(w(i)) - For percentile values, 1. Sort X and w so that X is in the ascending order 2. Accumulate w until i = j so that accumulated(w)/sum_i(w(i)) equals or exceeds the specified percentile level (e.g. 0.05) 3. Use X(j) or (X(j) + X(j - 1))/2 as the percentile value - Finally, multiply by 10 all numbers for unit conversion. Filled boxes and black dots are evaluated based on the models with minimum 3 ensemble members. Model ID of each ensemble member is given as the model_id attribute in each variable. For the confidence interval, first the ensemble average of individual models (with minimum 3 ensemble members) are calculated and then the confidence interval is evaluated based on t statistic. --------------------------------------------------- Sources of additional information --------------------------------------------------- The following weblinks are provided in the Related Documents section of this catalogue record: - Link to the report component containing the figure (Chapter 3) - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1 - Link to the code for the figure, archived on Zenodo

Data from the University of Leeds UMSLIMCAT model, part of the International Global Atmospheric Chemistry (IGAC)/ Stratosphere-troposphere Processes and their Role in Climate (SPARC) Chemistry-Climate Model Initiative (CCMI-1). CCMI-1 is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Programme (WCRP). The dataset includes data for the following CCMI-1 experiments: Reference experiments ref-C1, ref-C1SD and ref-C2. Sensitivity experiments senC1SSI, senC2fGHG, senC2fODS, senC2fODS2000, senC2rcp45 and senC2rcp85. ref-C1: Using state-of-knowledge historic forcings and observed sea surface conditions, the models simulate the recent past (1960–2010). ref-C1SD: Similar to ref-C1 but the models are nudged towards reanalysis datasets, and correspondingly the simulations only cover 1980–2010. (“SD” stands for specified dynamics.) ref-C2: Simulations spanning the period 1960–2100. The experiments follow the WMO (2011) A1 baseline scenario for ozone depleting substances and the RCP 6.0 (Meinshausen et al., 2011) for other greenhouse gases, tropospheric ozone (O3) precursors, and aerosol and aerosol precursor emissions. senC1SSI: The same as ref-C1 but using a solar forcing dataset with increased UV intensity. senC2fGHG: Similar to ref-C2 but with greenhouse gasses (GHGs) fixed at their 1960 levels, and sea surface and sea ice conditions prescribed as the 1955–1964 average (where these conditions are imposed). senC2fODS: The same as ref-C2 but with ozone-depleting (halogenated) substances (ODSs) fixed at their 1960 levels. senC2fODS2000: The same as ref-C2 but with ODSs fixed at their year 2000 levels. senC2rcp45: The same as ref-C2, but with the GHG scenario changed to RCP 4.5 (Meinshausen et al., 2011). senC2rcp85: The same as ref-C2, but with the GHG scenario changed to RCP 8.5 (Meinshausen et al., 2011).

Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the North America Domain (NAM-44). The data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the North America CORDEX domain (NAM-44). HadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model. The HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011. The model outputs are interpolated to a common latitude-longitude grid. The collection includes monthly averages and seasonal means. The CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.

The AAST L3S Combined Surface Temperature (CST) products here primarily provide data on surface temperatures in the Arctic, across all Arctic surfaces, and their associated uncertainties. This dataset consists of CSTs with uncertainty estimates produced from the ATSR-2 and AATSR instruments on ESA's ERS-2 and Enivsat satellite respectively. The CSTs in this dataset are surface temperatures across ocean, snow/ice and land surfaces in the Arctic region, where the Arctic is defined as the area at, or north of, 60°N. Please note, the data here provide daily temperature data, not daily mean data as indicated by the dataset title. For more information see the paper linked under the details tab The data were produced for ATSR Satellite Dataset project, which was funded by The UK Dept. for Business, Energy & Industrial Strategy. Ice (and snow) Surface Temperatures (ISTs) and Land Surface Temperatures (LSTs) used to produce this dataset are sourced from the GlobTemperature Level 2 LST V2.1 product. Sea Surface Temperature (SSTs) are from the ATSR SST L2P V3.0 product. This version of the CST dataset is v2.1, with an earlier version previously provided via the GlobTemperature data portal. ATSR data was sourced from the GlobTemperature data portal and the CEDA archive. It consists of a complete set of CST and accompanying auxiliary (AUX) datafiles for the ATSR-2 and AATSR instruments separately. ATSR-2 data are available for 01/08/1995 - 22/06/2003 while AATSR data are available for 20/05/2002 – 08/04/2012.

This dataset contains meteorological, sea water temperature, surface ocean currents and wave height, direction and period measurements from a Seawatch Wavescan meteorological buoy deployed in the northwest Iceland Sea for the Iceland Greenland seas Project (IGP). This was an international project involving the UK, US a Norwegian research communities. The UK component was funded by NERC, under the Amospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1). The Seawatch Wavescan meteorological buoy was deployed during the first leg of the NATO Research Vessel Alliance cruise, on 21 February 2018. Its position in the northwest Iceland Sea was strategically placed adjacent to a subsurface mooring in the Eggvin Offset. The dataset contains standard meteorological variables, surface ocean currents and wave height, direction and period from the buoy. Sea water temperature measurements at 8 m depth from the co-located mooring beneath the buoy are included to replace failed sea surface temperature measurements from the buoy under the reasonable assumption that this was still within the surface ocean mixed layer in this region. Similarly, pressure measurements that failed for roughly half of the deployment are replaced by surface layer estimates from ECMWF's ERA5 reanalysis product interpolated to the position of the meteorological buoy, corroborated for the period the sensor was working. Otherwise the buoy worked well for 2.5 months, until it broke loose from its anchor and stopped recording on 6 May 2018 and was recovered soon after. Also provided in the dataset are bulk aerodynamic flux estimates generated using the COARE3.0a algorithm.