Skip to main content

ESA Data Ontology

Search from vocabulary

Content language

Concept information

Platforms > Other > Models > SPEAR

Preferred term

SPEAR  

Definition

  • We document the development and simulation characteristics of the next generation modeling system for seasonal to decadal prediction and projection at the Geophysical Fluid Dynamics Laboratory (GFDL). SPEAR (Seamless System for Prediction and EArth System Research) is built from component models recently developed at GFDL—the AM4 atmosphere model, MOM6 ocean code, LM4 land model, and SIS2 sea ice model. The SPEAR models are specifically designed with attributes needed for a prediction model for seasonal to decadal time scales, including the ability to run large ensembles of simulations with available computational resources. For computational speed SPEAR uses a coarse ocean resolution of approximately 1.0° (with tropical refinement). SPEAR can use differing atmospheric horizontal resolutions ranging from 1° to 0.25°. The higher atmospheric resolution facilitates improved simulation of regional climate and extremes. SPEAR is built from the same components as the GFDL CM4 and ESM4 models but with design choices geared toward seasonal to multidecadal physical climate prediction and projection. We document simulation characteristics for the time mean climate, aspects of internal variability, and the response to both idealized and realistic radiative forcing change. We describe in greater detail one focus of the model development process that was motivated by the importance of the Southern Ocean to the global climate system. We present sensitivity tests that document the influence of the Antarctic surface heat budget on Southern Ocean ventilation and deep global ocean circulation. These findings were also useful in the development processes for the GFDL CM4 and ESM4 models. (en)

Broader concept

Change note

  • 2021-06-15 14:55:54.0 [tstevens] Insert Concept add broader relation (SPEAR [3d374eb9-1eb4-4c64-b764-47f6206bbc85,649556] - Models/Analyses [113ecbc2-ab36-4d58-a96c-a6ce0106e749,639855]);
  • 2021-06-15 14:57:32.0 [tstevens] insert AltLabel (id: null category: primary text: Seamless System for Prediction and EArth System Research language code: en); insert Definition (id: null text: We document the development and simulation characteristics of the next generation modeling system for seasonal to decadal prediction and projection at the Geophysical Fluid Dynamics Laboratory (GFDL). SPEAR (Seamless System for Prediction and EArth System Research) is built from component models recently developed at GFDL—the AM4 atmosphere model, MOM6 ocean code, LM4 land model, and SIS2 sea ice model. The SPEAR models are specifically designed with attributes needed for a prediction model for seasonal to decadal time scales, including the ability to run large ensembles of simulations with available computational resources. For computational speed SPEAR uses a coarse ocean resolution of approximately 1.0° (with tropical refinement). SPEAR can use differing atmospheric horizontal resolutions ranging from 1° to 0.25°. The higher atmospheric resolution facilitates improved simulation of regional climate and extremes. SPEAR is built from the same components as the GFDL CM4 and ESM4 models but with design choices geared toward seasonal to multidecadal physical climate prediction and projection. We document simulation characteristics for the time mean climate, aspects of internal variability, and the response to both idealized and realistic radiative forcing change. We describe in greater detail one focus of the model development process that was motivated by the importance of the Southern Ocean to the global climate system. We present sensitivity tests that document the influence of the Antarctic surface heat budget on Southern Ocean ventilation and deep global ocean circulation. These findings were also useful in the development processes for the GFDL CM4 and ESM4 models. language code: en);
  • 2021-11-30 13:23:36.0 [tstevens] Move Concepts delete broader relation (null); add broader relation (SPEAR [3d374eb9-1eb4-4c64-b764-47f6206bbc85,826159] - Models [0a184cdc-c074-4946-90a6-02f03c686341,835911]);

URI

https://gcmd.earthdata.nasa.gov/kms/concept/3d374eb9-1eb4-4c64-b764-47f6206bbc85

Download this concept:

RDF/XML TURTLE JSON-LD Last modified 12/6/20