de.dkrz.wdcc.iso2147311 series HOAPS3_DAILY Axel Andersson University of Hamburg (MI) http://www.mi.uni-hamburg.de/ author Dr. Stephan Bakan Max-Planck-Institut fuer Meteorologie http://www.mpimet.mpg.de/ author Karsten Fennig Met Office Hadley Centre http://www.metoffice.gov.uk author Prof. Dr. Hartmut Grassl University of Hamburg (MI) http://www.mi.uni-hamburg.de/ author Dr. Christian Klepp University of Hamburg (MI) http://www.mi.uni-hamburg.de/ author Joerg Schulz Deutscher Wetterdienst (ZAK) n/a author Dr. Stephan Bakan Max-Planck-Institut fuer Meteorologie http://www.mpimet.mpg.de/ pointOfContact Prof. Dr. Hartmut Grassl University of Hamburg (MI) http://www.mi.uni-hamburg.de/ originator Dr. Stephan Bakan Max-Planck-Institut fuer Meteorologie http://www.mpimet.mpg.de/ originator Dr. Christian Klepp University of Hamburg (MI) http://www.mi.uni-hamburg.de/ originator 2022-04-25T04:41:53 ISO 19115 ISO 19139 / DKRZ ISO Simple Profile V1.0 http://doi.org/doi:10.1594/WDCC/HOAPS3_DAILY Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data - HOAPS-3 - twice daily composite Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data - HOAPS-3 - twice daily composite 2007-05-22 creation None Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data - HOAPS-3 - twice daily composite doi:10.1594/WDCC/HOAPS3_DAILY Prof. Dr. Hartmut Grassl University of Hamburg (MI) http://www.mi.uni-hamburg.de/ originator Dr. Stephan Bakan Max-Planck-Institut fuer Meteorologie http://www.mpimet.mpg.de/ originator Dr. Christian Klepp University of Hamburg (MI) http://www.mi.uni-hamburg.de/ originator doi:10.1594/WDCC/HOAPS3_DAILY The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data (HOAPS) set is a completely satellite based climatology of precipitation, turbulent heat fluxes and freshwater budget (evaporation minus precipitation) as well as related athmospheric state variables over the global ice free oceans. All variables are derived from SSM/I passive microwave radiometers, except for the SST, which is taken from AVHRR measurements. The dataset includes multi-satellite averages, inter-sensor calibration, and an efficient sea ice detection procedure. Changes in this version are a longer time series, now containing data from 1987 to 2005, a new neural network based precipitation algorithm, and inclusion of the RSMAS/NODC Pathfinder Version 5 SST fields. Additionally a new 85 GHz synthesis procedure has been implemented, making a continuous time series for all parameters for the whole time series possible. This dataset contains 1 degree twice daily globally gridded multi-satellite composite products, providing high temporal resolution. Each grid-cell contains data from only one satellite pass, there is no average from two or more satellites. Early passes are overwritten by later passes. This method provides more spatial homogeneity than averaging all available data. The fields are stored for 0-12 and 12-24 UTC. Timesteps in the data files are at 0 UTC (0-12 UTC overpasses) and 12 UTC (12-24 UTC overpasses). Each grid-cell contains the average of data from the satellite that passed this gridbox closest to 12 and 24 UTC, respectively. Other gridded data sets available are pentad (5-day) and monthly means on a global 0.5 deg. x 0.5 deg. grid. For more information see http://www.hoaps.org/. Axel Andersson University of Hamburg (MI) http://www.mi.uni-hamburg.de/ author Dr. Stephan Bakan Max-Planck-Institut fuer Meteorologie http://www.mpimet.mpg.de/ author Karsten Fennig Met Office Hadley Centre http://www.metoffice.gov.uk author Prof. Dr. Hartmut Grassl University of Hamburg (MI) http://www.mi.uni-hamburg.de/ author Dr. Christian Klepp University of Hamburg (MI) http://www.mi.uni-hamburg.de/ author Joerg Schulz Deutscher Wetterdienst (ZAK) n/a author Dr. Stephan Bakan Max-Planck-Institut fuer Meteorologie http://www.mpimet.mpg.de/ pointOfContact SSM/I theme air-sea-fluxes theme remote sensing theme satellite theme eng -180.0 180.0 -80.0 80.0 1987-07-09 2005-12-31 228 atmosphere_cloud_condensed_water_content modelResult kg m-2 atmosphere_mass_content_of_cloud_liquid_water modelResult kg m-2 atmosphere_water_vapor_content modelResult kg m-2 humidity modelResult g kg-1 latent modelResult 1 lwe_precipitation_rate modelResult mm d-1 lwe_water_evaporation_rate modelResult mm d-1 sea_surface_temperature modelResult degC specific modelResult g kg-1 surface_net_upward_longwave_flux modelResult W m-2 surface_specific_humidity modelResult g kg-1 surface_upward_latent_heat_flux modelResult W m-2 surface_upward_sensible_heat_flux modelResult W m-2 surface_upward_water_flux modelResult mm d-1 wind_speed modelResult m s-1 NetCDF network Common Data Format distributor Mb 119939 http://doi.org/doi:10.1594/WDCC/HOAPS3_DAILY series