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