DOI: 10.1594/pangaea.890118
title: FluxEngine v2.0 and v3.0 reference and verification data

description: This submission includes the reference data required to perform a complete verification of the FluxEngine v3.0 install. All data are in netCDF-3 format. Note that this dataset is greater than 100 MB in size.FluxEngine is an open source software toolkit for calculating in situ, regional or global gas fluxes between the atmosphere and ocean. It can be used with model, in situ or satellite Earth observation data. A full description of the toolkit is provided in Shutler et al. (2016) and the FluxEngine software can be freely downloaded from GitHub: https://github.com/oceanflux-ghg/FluxEngineInput data are for the year 2010 with the exception of the Takahashi climatology, which is for the year 2000. The following input data are included: * input_data/air_pressure - atmospheric pressure data from the European Centre for Medium-Range Weather Forecasts (ECMWF, www.ecmwf.int) * input_data/ice - fraction ice coverage from the Ocean and Sea Ice Satellite Application Facility (OSI SAF, www.osi-saf.org) * input_data/rain_gpcp - total precipitation data from the National Oceanic and Atmospheric Administration (NOAA) Global Precipitation Climatology Project (v2.2) * input_data/sig_wv_ht - significant wave height data from the GlobWave project (www.globwave.org) * input_data/sigma0 - radar backscatter from the GlobWave project (www.globwave.org)* input_data/windu10 - wind speed at 10 m above sea level from the GlobWave project (www.globwave.org) * input_data/SMOS - ocean salinity data from Centre Abal de Traitement des Données Soil Moisture and Ocean Salinity (CATDS SMOS v01, www.catds.fr) * input_data/SOCATv4 - The Surface Ocean CO₂ Atlas (SOCAT) (Bakker et al., 2016) version 4 reanalysed to a CO₂ climatology using (Goddijn-Murphy et al., 2015) * input_data/SST - skin sea surface temperature (SST) data from the ATSR Reprocessing for Climate (ARC) project. * input_data/sstfnd_Reynolds - sub skin sea surface temperature (Optimally Interpolated SST, OISST project: Reynolds et al., 2007, Banzon et al., 2016) * input_data/takahashi09 - Takahashi CO₂ climatology dataset (Takahashi et al., 2009)Where appropriate input data have been re-gridded from their original resolution into a monthly 1 × 1 degree resolution.The verification process involves comparing a newly generated output (e.g. generated by a local install of FluxEngine) to a reference dataset for each verification scenario. These reference datasets are included in the 'reference_data' directory, and use the following naming convention: * socatv4, takahashi09_pco2 - uses partial pressure of CO₂ (pCO₂) data from SOCATv4 or Takahashi2009 climatologies, respectively * sst, no_gradients - does/does not use sea surface temperature gradients, respectively * salinity - applies a correction for skin layer salinity * N00 - uses (Nightingale et al., 2000) parameterisation for calculating gas transfer velocity * K0, K1, K2, K3 - uses the generic formulation for calculating gas transfer velocity (using only the 0th, 1st, 2nd and 3rd order components, respectively) * takahashi09_all_inputs - The Takahashi et al. (2009) dataset is used for all inputs in order to reproduce the results in Shutler et al. (2016). * FEv1, FEv2, FEv3 - Reference data was generated using FluxEngine version 1, 2 or 3, respectivelyConfiguration files for each validation set are included in the 'configs' directory. These files are well commented and fully specify the input data to be used, data pre-processing, gas transfer velocity parameterisation and the structure of the gas flux calculation to be performed.Acknowledgements:The Surface Ocean CO₂ Atlas (SOCAT) is an international effort, endorsed by the International Ocean Carbon Coordination Project (IOCCP), the Surface Ocean Lower Atmosphere Study (SOLAS) and the Integrated Marine Biosphere Research (IMBeR) program, to deliver a uniformly quality-controlled surface ocean CO₂ database. The many researchers and funding agencies responsible for the collection of data and quality control are thanked for their contributions to SOCAT.