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SKRIPS v1.0: a regional coupled ocean–atmosphere modeling framework (MITgcm–WRF) using ESMF/NUOPC, description and preliminary results for the Red Sea
- Source :
- Geoscientific Model Development, Vol 12, Pp 4221-4244 (2019)
- Publication Year :
- 2019
- Publisher :
- Copernicus Publications, 2019.
-
Abstract
- A new regional coupled ocean–atmosphere model is developed and its implementation is presented in this paper. The coupled model is based on two open-source community model components: the MITgcm ocean model and the Weather Research and Forecasting (WRF) atmosphere model. The coupling between these components is performed using ESMF (Earth System Modeling Framework) and implemented according to National United Operational Prediction Capability (NUOPC) protocols. The coupled model is named the Scripps–KAUST Regional Integrated Prediction System (SKRIPS). SKRIPS is demonstrated with a real-world example by simulating a 30 d period including a series of extreme heat events occurring on the eastern shore of the Red Sea region in June 2012. The results obtained by using the coupled model, along with those in forced stand-alone oceanic or atmospheric simulations, are compared with observational data and reanalysis products. We show that the coupled model is capable of performing coupled ocean–atmosphere simulations, although all configurations of coupled and uncoupled models have good skill in modeling the heat events. In addition, a scalability test is performed to investigate the parallelization of the coupled model. The results indicate that the coupled model code scales well and the ESMF/NUOPC coupler accounts for less than 5 % of the total computational resources in the Red Sea test case. The coupled model and documentation are available at https://library.ucsd.edu/dc/collection/bb1847661c (last access: 26 September 2019), and the source code is maintained at https://github.com/iurnus/scripps_kaust_model (last access: 26 September 2019).
- Subjects :
- Shore
geography
Source code
geography.geographical_feature_category
010504 meteorology & atmospheric sciences
Meteorology
media_common.quotation_subject
lcsh:QE1-996.5
Atmospheric model
010502 geochemistry & geophysics
01 natural sciences
Atmosphere
lcsh:Geology
Coupling (physics)
Earth system modeling
Weather Research and Forecasting Model
Scalability
Environmental science
0105 earth and related environmental sciences
media_common
Subjects
Details
- Language :
- English
- ISSN :
- 19919603
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Geoscientific Model Development
- Accession number :
- edsair.doi.dedup.....71cad904c678fa98bd5097cd0681c9c7