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CSIRO eReefs Operations Team

18 record(s)

 

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    Sentinel-1 SAR medium resolution (approximately 20m-pixel size) reprojected and calibrated product produced by CSIRO under eReefs Phase 5 using the SNAP (Sentinel Application Platform) toolbox. This product was derived from Level 1 IW GRD (VV polarization), placed onto a regular grid using nearest neighbor resampling and radiometrically filtered using a three-pass combination of filters to reduce speckle.

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    Sentinel-3 OLCI reduced resolution (approximately 1000m-pixel size) daily reprojected Level 2P above-water spectral remote sensing reflectance produced by CSIRO under eReefs Phase 5 using the FUB-CSIRO Coastal Water Processor (detailed description at https://doi.org/10.1016/j.rse.2021.112848). This product was derived from Level 2 geophysical quantities, and placed onto a regular grid using nearest neighbor resampling. Standard Level 1 quality flags have been applied to pre-mask and quality control the data (see file_version_quality_control). Additional algorithm input and output out-of-range flags (in_out_OR_combined_flags) are provided to further quality control the data. These flags have not been applied to pre-mask the data.

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    Sentinel-3 OLCI reduced resolution (approximately 1000m-pixel size) daily Level 1B true-colour quicklooks produced by CSIRO under eReefs Phase 5 delivered in GeoTIFF format.

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    Sentinel-3 OLCI full resolution (approximately 300m-pixel size) daily reprojected Level 2P water quality (Chl-a, CDOM, TSS) produced by CSIRO under eReefs Phase 5 using the FUB-CSIRO Coastal Water Processor (detailed description at https://doi.org/10.1016/j.rse.2021.112848). This product was derived from Level 2 geophysical quantities, and placed onto a regular grid using nearest neighbor resampling. Standard Level 1 quality flags have been applied to pre-mask and quality control the data (see file_version_quality_control). Additional algorithm input and output out-of-range flags (in_out_OR_combined_flags) are provided to further quality control the data. These flags have not been applied to pre-mask the data.

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    Results from version 3.1 of the the 4km-resolution biogeochemistry and sediments model of the Great Barrier Reef (GBR4), forced by version2 of the Hydrodynamic model and by a reduced-loads catchment scenario which is derived from SOURCE Catchments with 2019 catchment condition (q3b) with anthropogenic loads (q3b – q3p) reduced according to the percentage reductions of DIN, PN, PP and TSS specified in the Reef 2050 Water Quality Improvement Plan (WQIP) 2017-2022 as calculated in Brodie et al., (2017). Further, the reductions are adjusted to account for the cumulative reductions already achieved between 2014 and 2019 that will be reflected in the 2019 catchment condition used in q3b. This model configuration and associated results dataset may be referred to as "GBR4_H2p0_B3p1_Cq3R_Dhnd" according to the eReefs biogeochemical simulation naming protocol. The model ran in hindcast-mode as one of a suite of simulations which included baseline (GBR4_H2p0_B3p1_Cq3b_Dhnd) and pre-industrial (GBR4_H2p0_B3p1_Cq3p_Dhnd) catchment scenarios.

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    Results from version 3.1 of the 4km-resolution regional-scale biogeochemistry and sediments model of the Great Barrier Reef (GBR4), forced by version 2.0 of the 4km-resolution hydrodynamic model and with Furnas relationships for wet and dry tropics rivers as catchment inputs. This model configuration and associated results dataset may be referred to as "GBR4_H2p0_B3p1_Cfur_Dnrt" according to the eReefs biogeochemical simulation naming protocol. The model runs in near-real-time mode, updating daily.

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    Passive river tracer results derived from version 2.0 of the 4km-resolution regional-scale hydrodynamic model of the Great Barrier Reef (GBR4). This model configuration and associated results dataset may be referred to as "GBR4_H2p0_Rivers" according to the eReefs simulation naming protocol. The model runs in near-real-time mode, updating daily.

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    Passive river tracer results derived from version 2.0 of the 1km-resolution shelf-scale hydrodynamic model of the Great Barrier Reef (GBR1). This model configuration and associated results dataset may be referred to as "GBR1_H2p0_Rivers" according to the eReefs simulation naming protocol. The model runs in near-real-time mode, updating daily.

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    Results from version 2.0 of the 4km-resolution regional-scale hydrodynamic model of the Great Barrier Reef (GBR4). This model is forced with BlueLink Ocean Modelling and Prediction System (OceanMAPS) model results on the ocean boundaries and Bureau of Meteorology ACCESS-R model for surface atmospheric data. The tide is introduced through 22 constituents derived from the global CSR tide model, and the river boundaries incorporate measured stream flow and temperature data from QLD DNRM's gauging stations for 22 rivers, and estimated flows and loads for 49 additional rivers. There are no known forcing problems. This model configuration and associated results dataset may be referred to as "GBR4_H2p0" according to the eReefs simulation naming protocol. The model runs in near-real-time mode, updating daily.

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    Results from version 3.1 of the 4km-resolution regional-scale biogeochemistry and sediments model of the Great Barrier Reef (GBR), forced by version 2.0 of the 4km-resolution hydrodynamic model and with catchment forcing from P2R SOURCE Catchments with pre-industrial catchment condition from December 01, 2018 to June 30, 2018 and then Empirical SOURCE Catchments with pre-industrial catchment condition from July 1, 2018 to April 30, 2019. This model configuration and associated results dataset may be referred to as "GBR4_H2p0_B3p1_Cq3p_Dhnd" according to the eReefs biogeochemical simulation naming protocol. The model ran in hindcast-mode as one of a suite of simulations which included baseline (GBR4_H2p0_B3p1_Cq3b_Dhnd) and reduced-load (GBR4_H2p0_B3p1_Cq3R_Dhnd) catchment scenarios.