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Discussion papers
https://doi.org/10.5194/essd-2019-79
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-79
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: data description paper 01 Jul 2019

Submitted as: data description paper | 01 Jul 2019

Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Earth System Science Data (ESSD).

A Last Glacial Maximum forcing dataset for ocean modelling

Anne L. Morée1 and Jörg Schwinger2 Anne L. Morée and Jörg Schwinger
  • 1Geophysical Institute, University of Bergen and Bjerknes Centre for Climate Research, Bergen, 5007, Norway
  • 2NORCE Climate, Bjerknes Centre for Climate Research, 5007 Bergen, Norway

Abstract. Model simulations of the Last Glacial Maximum (LGM, ~ 21 000 years before present) can aid the interpretation of proxy records, help to gain an improved mechanistic understanding of the LGM climate system and are valuable for the evaluation of model performance in a different climate state. Ocean-ice only model configurations forced by prescribed atmospheric data (referred to as “forced ocean models”) drastically reduce the computational cost of paleoclimate modelling as compared to fully coupled model frameworks. While feedbacks between the atmosphere and ocean-sea-ice compartments of the Earth system are not present in such model configurations, many scientific questions can be addressed with models of this type. The data presented here are derived from fully coupled paleoclimate simulations of the Palaeoclimate Modelling Intercomparison Project (PMIP3). The data are publicly accessible at the NIRD Research Data Archive at https://doi.org/10.11582/2019.00011 (Morée and Schwinger, 2019). They consist of 2-D anomaly forcing fields suitable for use in ocean models that employ a bulk forcing approach. The data include specific humidity, downwelling longwave and shortwave radiation, precipitation, wind (v and u components), temperature and sea surface salinity (SSS). All fields are provided as climatological mean anomalies between LGM and pre-industrial times. These anomaly data can therefore be added to any pre-industrial ocean forcing data set in order to obtain forcing fields representative of LGM conditions as simulated by PMIP3 models. These forcing data provide a means to simulate the LGM in a computationally efficient way, while still taking advantage of the complexity of fully coupled model set-ups. Furthermore, the dataset can be easily updated to reflect results from upcoming and future paleo model intercomparison activities.

Anne L. Morée and Jörg Schwinger
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Anne L. Morée and Jörg Schwinger
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Last Glacial Maximum minus pre-industrial anomaly fields for use in forced ocean modelling, based on PMIP3 A. Morée and J. Schwinger https://doi.org/10.11582/2019.00011

Anne L. Morée and Jörg Schwinger
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Short summary
This dataset consists of eight variables needed in ocean modeling and is made to support modelers of the Last Glacial Maximum (LGM, 21 000 years ago) ocean. The LGM is a time of specific interest for climate researchers. The data is based on the results of state-of-the-art climate models and is the best available estimate of these variables for the LGM. It shows clear spatial patterns but large uncertainties and is presented in a way that facilitates application in any ocean model.
This dataset consists of eight variables needed in ocean modeling and is made to support...
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