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3 results for “Cape Basin”
Text-fig. 3. Map of Razdolnaya coal basin with early angiosperm localities. a: Lipovtsy Formation, Aptian; b: Galenki Formation, early-middle Albian. 1 – Porechye coal mine; 2 – Konstantinovka; 3 – Aleksee-Nikolskoe coal mine; 4 – Fedorovsky Rudnik; 5 – Podgorodenka coalfield; 6 – Firsov Cape. in Angiosperm Diversification In The Early Cretaceous Of Primorye, Far East Of Russia
Text-fig. 3. Map of Razdolnaya coal basin with early angiosperm localities. a: Lipovtsy Formation, Aptian; b: Galenki Formation, early-middle Albian. 1 – Porechye coal mine; 2 – Konstantinovka; 3 – Aleksee-Nikolskoe coal mine; 4 – Fedorovsky Rudnik; 5 – Podgorodenka coalfield; 6 – Firsov Cape.
Subspecies and Distribution. A. c. capensis Schinz, 1821 — Sub-Saharan Africa from Senegal in the W to E Ethiopia, and E Africa to Western Cape. Absent from Congo Basin and the most arid zones of Namibia, Botswana, and South Africa. A. c. congicus Lonnberg, 1910 — Congo Basin in WC Africa. in Mustelidae
Subspecies and Distribution. A. c. capensis Schinz, 1821 — Sub-Saharan Africa from Senegal in the W to E Ethiopia, and E Africa to Western Cape. Absent from Congo Basin and the most arid zones of Namibia, Botswana, and South Africa. A. c. congicus Lonnberg, 1910 — Congo Basin in WC Africa.
Cape Basin Pre-SWOT Level-4 Hourly MITgcm LLC4320 Native Grid 2km Oceanographic Dataset Version 1.0
This dataset provides a regional multivariate oceanographic state estimate from a global ocean numerical simulation with a focus on the Cape Basin region. The global ocean simulation is based on the MIT general circulation model (MITgcm) with Lat-Lon-Cap grid (LLC) layout and 1/48-degree (2km at equator) nominal horizontal resolution. This simulation is often referred to as LLC4320 in the community and existing publications. The simulation has 90 vertical levels, with about 1-m vertical resolution at the surface and 30 m down to 500 m, for optimized resolution of the upper-ocean processes. The model has zero parameterized horizontal diffusivity. In the vertical direction, the K-Profile Parameterization (KPP) is used for boundary layer turbulent mixing. It is spun up progressively from the lower resolution MITgcm simulation from the Estimating the Circulation & Climate of the Ocean (ECCO), and forced by the 6-hourly ERA-Interim atmosphere reanalysis ( https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim ). A synthetic surface pressure field consisting of the 16 most dominant tidal constituents is used to dynamically mimic the tidal forcing. The dataset provides hourly oceanographic variables at native grid. Three-dimensional variables include temperature, salinity, and velocity. Two-dimensional variables include sea level anomaly, ocean mixed layer thickness, bottom pressure anomaly, net freshwater flux, net heat flux, shortwave radiative flux, net salt flux, and ocean surface stress.
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