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111 results for “Ocean productivity”
RSS SSM/I OCEAN PRODUCT GRIDS 3-DAY AVERAGE FROM DMSP F13 NETCDF V7
The RSS SSM/I Ocean Product Grids 3-Day Average from DMSP F13 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F13 for 3-day averages.
RSS SSM/I OCEAN PRODUCT GRIDS MONTHLY AVERAGE FROM DMSP F15 NETCDF V7
The RSS SSM/I Ocean Product Grids Monthly Average from DMSP F15 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F15 for a monthly average.
RSS SSM/I OCEAN PRODUCT GRIDS MONTHLY AVERAGE FROM DMSP F13 NETCDF V7
The RSS SSM/I Ocean Product Grids Monthly Average from DMSP F13 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F13 for monthly averages.
RSS SSM/I OCEAN PRODUCT GRIDS 3-DAY AVERAGE FROM DMSP F15 NETCDF V7
The RSS SSM/I Ocean Product Grids 3-Day Average from DMSP F15 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F15 for a 3-day average.
RSS SSM/I OCEAN PRODUCT GRIDS DAILY FROM DMSP F10 NETCDF V7
The RSS SSM/I Ocean Product Grids Daily from DMSP F10 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F10 daily.
RSS SSM/I OCEAN PRODUCT GRIDS DAILY FROM DMSP F15 NETCDF V7
The RSS SSM/I Ocean Product Grids Daily from DMSP F15 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F15 daily.
RSS SSM/I OCEAN PRODUCT GRIDS DAILY FROM DMSP F11 NETCDF V7
The RSS SSM/I Ocean Product Grids Daily from DMSP F11 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F11 daily.
RSS SSMIS OCEAN PRODUCT GRIDS WEEKLY AVERAGE FROM DMSP F16 NETCDF V7
The RSS SSMIS Ocean Product Grids Weekly Average from DMSP F16 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F16 for a weekly average.
RSS SSMIS OCEAN PRODUCT GRIDS WEEKLY AVERAGE FROM DMSP F17 NETCDF V7
The RSS SSMIS Ocean Product Grids Weekly Average from DMSP F17 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F17 for a weekly average.
RSS SSM/I OCEAN PRODUCT GRIDS 3-DAY AVERAGE FROM DMSP F10 NETCDF V7
The RSS SSM/I Ocean Product Grids 3-Day Average from DMSP F10 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F10 for 3-day averages.
RSS SSM/I OCEAN PRODUCT GRIDS WEEKLY AVERAGE FROM DMSP F13 NETCDF V7
The RSS SSM/I Ocean Product Grids Weekly Average from DMSP F13 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F13 for weekly averages.
GEWEX SRB Integrated Product (Rel-4_1) Longwave Monthly Average by local Ocean-only Fluxes
GEWEXSRB_Rel4_1-IP_Longwave_monthly_oceanonly_local is the Global Energy and Water Exchanges (GEWEX) Surface Radiation Budget (SRB) Integrated Product (Rel-4) Longwave Monthly Average by local Ocean-only data product. It contains ocean-only global fields of 26 longwave surface, Top of Atmosphere (TOA), and atmospheric profile radiative parameters derived with the Longwave algorithm of the NASA World Climate Research Programme/Global Energy and Water-Cycle Experiment (WCRP/GEWEX) Surface Radiation Budget (SRB) Project. This version is an extension of Release 4-Integrated Product with ocean-only fluxes due to a missing key input from the main data set. The fluxes include all-sky, clear-sky, and pristine-sky TOA upward fluxes (outgoing longwave radiation, OLR), all-sky, clear-sky, and pristine-sky upward and downward fluxes at the tropopause, 200hPa, 500hPa, and surface. A status flag of filled cloud properties is also included. Inputs to the longwave algorithm are cloud information based on ISCCP HXS, meteorology from ISCCP nnHIRS, SeaFlux SST and surface, and MERRA-2 conditionally. The temporal range is January 2010 through June 2017. Averaging is done by local solar time. Data collection for this product is complete.
EPIC Ocean Surface PAR 1 Product V02
EPIC Ocean Surface PAR The EPIC observations of the Earth’s surface lit by the Sun made 13 times during the day in spectral bands centered on 443, 551, and 680 nm are used to estimate daily mean photosynthetically available radiation (PAR) at the ice-free ocean surface. PAR is defined as the quantum energy flux from the Sun in the 400-700 nm range. Daily mean PAR is the 24-hour averaged planar flux in that spectral range reaching the surface. It is expressed in E.m-2.d-1 (Einstein per meter squared per day). The factor required to convert E.m-2 d-1 units to mW.cm-2.μm-1 units is equal to 0.838 to an inaccuracy of a few percent regardless of meteorological conditions. The EPIC daily mean PAR product is generated on Plate Carrée (equal-angle) grid with 18.4 km resolution at the equator and on 18.4 km equal-area grid, i.e., the product is compatible with Ocean Biology Processing Group ocean color products.The EPIC PAR algorithm uses a budget approach, in which the solar irradiance reaching the surface is obtained by subtracting from the irradiance arriving at the top of the atmosphere (known) the irradiance reflected to space (estimated from the EPIC Level 1b radiance data), taking into account atmospheric transmission (modeled). Clear and cloudy regions within a pixel do not need to be distinguished, which dismisses the need for often-arbitrary assumptions about cloudiness distribution and is therefore adapted to the relatively large EPIC pixels. A daily mean PAR is estimated on the source grid for each EPIC instantaneous daytime observation, assuming no cloudiness change during the day, and the individual estimates are remapped and weight-averaged using the cosine of the Sun zenith angle. In the computations, wind speed, surface pressure, and water vapor amount are extracted from NECP Reanalysis 2 data, aerosol optical thickness and angstrom coefficient fromMERRA-2 data, and ozone amount from EPIC Level 2 data. Areas contaminated by sun glint are excluded using a threshold on sun glint reflectance calculated using wind data. Ice masking is based on NSIDC near real time ice fraction data. Details about the algorithm are given in Frouinet al., (2018). Figure A1 gives an example of EPIC daily mean PAR product. Date is March 20, 2018(equinox); land is in black and sea ice in white. Values range from a few E.m-2.d-1at high latitudes to about 58 E.m-2.d-1 at equatorial and tropical latitudes, with atmospheric perturbances modulating the surface PAR field especially at middle latitudes. The EPIC ocean surface PAR products are available at the Atmospheric Science Data Center (ASDC) at NASA Langley Research Center: https://asdc.larc.nasa.gov. 4. Reference Robert Frouin, Jing Tan, Didier Ramon, Bryan Franz, Hiroshi Murakami, 2018: Estimating photosynthetically available radiation at the ocean surface from EPIC/DSCOVR data, Proc. SPIE 10778, Remote Sensing of the Open and Coastal Ocean and Inland Waters, 1077806 (24 October 2018); doi: 10.1117/12.2501675. Changes from version 1 1) Algorithm (consistent with PACE) Updated the calculation of atmospheric reflectance, gaseous transmittance, and atmospheric transmittance using LUTs method so that calculations are accurate at high Sun and view zenith angles; Updated the calculation of surface albedo (based on Jin et al., 2011); Updated the calculation of cloud/surface layer albedo. 2)Ancillary data Changed the sources of the ancillary data including wind speed, surface pressure, and water vapor from NCEP to MERRA2; Added cloud fraction from MERRA2, which is needed for computing direct/diffuse ratio hence surface albedo.
RSS SSM/I OCEAN PRODUCT GRIDS MONTHLY AVERAGE FROM DMSP F14 NETCDF V7
The RSS SSM/I Ocean Product Grids Monthly Average from DMSP F14 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F14 for a monthly average.
Climate model data for "Atmosphere-ocean feedback from wind-driven sea spray aerosol production"
<p>Data from atmosphere-only and coupled climate model simulations performed for "Atmosphere-ocean feedback from wind-driven sea spray aerosol production". Files are in netCDF format.</p>
Inversion and Spatiotemporal Analysis of Ocean Primary Productivity in Bohai Sea Based on improved DINEOF reconstructed MODIS Data
<p>his section of data is the raw data and experimental results of manuscript "Inversion and Spatiotemporal Analysis of Ocean Primary Productivity in Bohai Sea Based on improved DINEOF reconstructed MODIS Data".</p>
This data set is six 30-day ocean state estimation products for LTER-CCE cruises. The time periods of data assimilation fits for each LTER-CCE cruise are the following: 2006: 5/8 - 6/6, 2007: 4/1- 4/30, 2008 : 10/1 - 10/30, 2009 : 4/15 - 5/14, 2011 : 6/17 - 7/16, 2012 : 7/27 - 8/25
Used the sea surface height, sea surface temperature data measured from the space, and in situ temperature and salinity data from varied observational platforms including CCE-LTER cruises, we constrained the numerical ocean circulation model, Regional Ocean Modeling System (ROMS), so that the model simulation closely follows the observed ocean states. Data files are in netcdf format containing longitude, latitude, bathymetry, sea surface height, ocean current, temperature, salinity, density anomaly and surface fluxes. ROMS has a terrain following vertical coordinate and resolves shallow coastal regions better by construction. As a result, the depth of vertical level changes depending on the depth of bathymetry. This data set is the product of the investigations presented in Miller, A. J., H. Song and A. C. Subramanian, 2015: The physical oceanographic environment during the CCE-LTER years: Changes in climate and concepts. Deep-Sea Research II, 112, 6-17. Song, H., A. J. Miller, S. McClatchie, E. D. Weber, K. M. Nieto and D. M. Checkley, 2012: Application of a data-assimilation model to variability of Pacific sardine spawning and survivor habitats with ENSO in the California Current System. Journal of Geophysical Research-Oceans, 117, C03009, doi:10.1029/2011JC007302. We gratefully acknowledge continued funding from NSF (California Current Ecosystem LTER: OCE-0417616 and OCE-1026607) and NOAA (IOOS: NA17RJ1231)
GEWEX SRB Integrated Product (Rel-4) Ancillary 3-Hourly Ocean-only
GEWEXSRB_Rel4-IP_Ancillary_3hrly_oceanonly is the Global Energy and Water Exchanges (GEWEX) Surface Radiation Budget (SRB) Integrated Product (Rel-4) Ancillary 3-Hourly Ocean-only product. It contains the global ocean-only fields of meteorology, clouds and other ancillary data that serves as the inputs to the GEWEX SRB Integrated Product (Rel-4) Longwave algorithm, although some are applicable to the Shortwave product as well. Included are surface skin temperature, near-surface meteorology, Fu-Liou longwave algorithm based bands of surface emissivity, snow and ice amount, total column precipitable water, total column ozone, total cloud properties, and three-level water and ice cloud properties. The temporal range is January 2010 through June 2017, with the ends bound by input constraints. Data collection for this product is complete.
TRMM MICROWAVE IMAGER (TMI) WENTZ OCEAN PRODUCTS V3
The TRMM Microwave Imager (TMI) Wentz Ocean Products dataset used the TRMM Microwave Imager (TMI), which is a 5-channel, dual-polarized, passive microwave radiometer. The TMI is used to measure several important meteorological parameters over sea surfaces, such as precipitation rate, wind speed, wapter vapor, and sea surface temperature. The TMI, a successor to the SSM/I, measures radiation at frequencies of 10.7, 19.4, 21.3, 37, 85.5 GHz. It orbits at an altitude of 218 miles, much lower than the SSM/I, thus providing better resolution.
Assessing marine biogenic matter Production, Export and Remineralization: from the surface to the dark Ocean
The APERO project proposes a mechanistic approach to the biological carbon pump (export of surface biogenic carbon production and fate in the water column -200/2000m). APERO aims to reduce the gap between the amount of photosynthetically produced organic carbon transferred to the deep ocean and the metabolic demand for carbon in the water column. The project is built around a campaign with two oceanographic vessels in the Northeast Atlantic, at the level of the British permanent station PAP (58N, 16W). It lasted 40 days and took place in June and July of 2023, at the time of maximum particulate carbon export to the deep ocean. The three major contributions of APERO are the study of the role of small-scale dynamics (~1-10km) on the water column using autonomous platforms, imagery and innovative instrumentation, the construction of a comprehensive database based on the simultaneous multidisciplinary observation of all processes regulating the attenuation of carbon flux in the water column and the quantification of the fluxes associated with these processes. Relying on a significant international collaboration with the JETZON consortium (https://www.jetzon.org/) and an ambitious observation strategy, complemented by molecular biology and innovative modeling approaches, this study will contribute to a significant reduction of uncertainties on carbon storage by the ocean.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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International Brain Laboratory public data
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