Subsurface ocean biases in climate models and its implications in the simulated interannual variability: A case study for Indian Ocean
Sign Up to like & getrecommendations! Published in 2018 at "Dynamics of Atmospheres and Oceans"
DOI: 10.1016/j.dynatmoce.2018.10.001
Abstract: Abstract Coupled ocean atmosphere general circulation models (CGCMs) are known to have deep ocean biases when simulated over long term climate timescales. Here, an analysis has been done for investigating the impacts of these deep… read more here.
Keywords: indian ocean; biases climate; subsurface ocean; ocean biases ... See more keywords
Sensitivity of Subsurface Ocean Temperature Variability to Specification of Surface Observations in the Context of ENSO
Sign Up to like & getrecommendations! Published in 2017 at "Monthly Weather Review"
DOI: 10.1175/mwr-d-16-0432.1
Abstract: AbstractTo estimate the state of the ocean in the context of monitoring and prediction, ocean analysis products combine observed information from various sources that include both in situ ocean measurements and estimates of atmospheric forcings… read more here.
Keywords: subsurface ocean; ocean temperature; analysis; surface ... See more keywords
Ocean Observations to Improve Our Understanding, Modeling, and Forecasting of Subseasonal-to-Seasonal Variability
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Marine Science"
DOI: 10.3389/fmars.2019.00427
Abstract: Subseasonal-to-seasonal (S2S) forecasts have the potential to provide advance information about weather and climate events. The high heat capacity of water means that the subsurface ocean stores and re-releases heat (and other properties) and is… read more here.
Keywords: s2s forecasts; ocean observations; subsurface ocean; understanding modeling ... See more keywords