Publication:
Process-resolving Regional Arctic System Model for Advanced Modeling and Prediction of Arctic Climate System

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Authors
Maslowski, Wieslaw
Osinski, Robert
Lee, Younjoo
Kinney, Jaclyn Clement
Cassano, J.J.
Seefeldt, Mark W.
Craig, Anthony P.
Nijssen, Bart
Gergel, Diana R.
Subjects
Advisors
Date of Issue
2019-05
Date
Publisher
AMS
Language
Abstract
The Regional Arctic System Model (RASM) is a fully coupled limited-domain ice-ocean-atmosphere-land hydrology model. Its domain is pan-Arctic, with the atmosphere and land components configured on a 50-km or 25-km grid. The ocean and sea ice components are configured on rotated sphere meshes with four configuration options: 1/12o (~9.3km) or 1/48o (~2.4km) in the horizontal space and with 45 or 60 vertical layers. As a regional climate model, RASM requires boundary conditions along its lateral boundaries and in the upper atmosphere, which are derived either from global atmospheric reanalyses for simulations of the past to present or from Earth System models (ESMs) for climate projections. In the former case, this allow comparison of RASM results with observations in place and time, which is a unique capability not available in global ESMs. RASM has been developed and used to investigate critical processes controlling the evolution of the Arctic climate system under a diminishing sea ice cover. Several examples of key physical processes and coupling between different model components will be presented, that improve the representation of the past and present Arctic climate system. The impact of such processes and feedbacks will be discussed with regard to improving model physics and reducing biases in the representation of its initial state for prediction of Arctic climate at time scales from synoptic to intra-annual.
Type
Abstract
Description
15th Conference on Polar Meteorology and Oceanography
Series/Report No
Department
Oceanography
Organization
Naval Postgraduate School (U.S.)
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Format
2 p.
Citation
Maslowski, Wieslaw, et al. "Process-resolving Regional Arctic System Model for Advanced Modeling and Prediction of Arctic Climate System." 15th Conference on Polar Meteorology and Oceanography. AMS, 2019.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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