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https://doi.org/10.5194/gmd-14-1081-2021
Title: | Development of a MetUM (v 11.1) and NEMO (v 3.6) coupled operational forecast model for the Maritime Continent - Part 1: Evaluation of ocean forecasts | Authors: | Thompson, Bijoy Sanchez, Claudio Chong Peter Heng, B. Kumar, Rajesh Liu, Jianyu Huang, Xiang-Yu Tkalich, Pavel |
Issue Date: | 23-Feb-2021 | Publisher: | Copernicus GmbH | Citation: | Thompson, Bijoy, Sanchez, Claudio, Chong Peter Heng, B., Kumar, Rajesh, Liu, Jianyu, Huang, Xiang-Yu, Tkalich, Pavel (2021-02-23). Development of a MetUM (v 11.1) and NEMO (v 3.6) coupled operational forecast model for the Maritime Continent - Part 1: Evaluation of ocean forecasts. Geoscientific Model Development 14 (2) : 1081-1100. ScholarBank@NUS Repository. https://doi.org/10.5194/gmd-14-1081-2021 | Rights: | Attribution 4.0 International | Abstract: | p This article describes the development and ocean forecast evaluation of an atmosphere-ocean coupled prediction system for the Maritime Continent (MC) domain, which includes the eastern Indian and western Pacific oceans. The coupled system comprises regional configurations of the atmospheric model MetUM and ocean model NEMO at a uniform horizontal resolution of 4.5 km span classCombining double low line inline-formula /span 4.5 km, coupled using the OASIS3-MCT libraries. The coupled model is run as a pre-operational forecast system from 1 to 31 October 2019. Hindcast simulations performed for the period 1 January 2014 to 30 September 2019, using the stand-alone ocean configuration, provided the initial condition to the coupled ocean model. This paper details the evaluations of ocean-only model hindcast and 6 d coupled ocean forecast simulations. Direct comparison of sea surface temperature (SST) and sea surface height (SSH) with analysis, as well as in situ observations, is performed for the ocean-only hindcast evaluation. For the evaluation of coupled ocean model, comparisons of ocean forecast for different forecast lead times with SST analysis and in situ observations of SSH, temperature, and salinity have been performed. Overall, the model forecast deviation of SST, SSH, and subsurface temperature and salinity fields relative to observation is within acceptable error limits of operational forecast models. Typical runtimes of the daily forecast simulations are found to be suitable for the operational forecast applications. /p . © 2021 American Society of Mechanical Engineers (ASME). All rights reserved. | Source Title: | Geoscientific Model Development | URI: | https://scholarbank.nus.edu.sg/handle/10635/232136 | ISSN: | 1991-959X | DOI: | 10.5194/gmd-14-1081-2021 | Rights: | Attribution 4.0 International |
Appears in Collections: | Elements Staff Publications |
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