Abstract
The Community Atmosphere Biosphere Land Exchange (CABLE) model is a third-generation land surface model (LSM). CABLE is commonly used as a stand-alone LSM, coupled to the Australian Community Climate and Earth Systems Simulator global climate model and coupled to the Weather Research and Forecasting (WRF) model for regional applications. Here, we evaluate an updated version of CABLE within a WRF physics ensemble over the COordinated Regional Downscaling EXperiment (CORDEX) AustralAsia domain. The ensemble consists of different cumulus, radiation and planetary boundary layer (PBL) schemes. Simulations are carried out within the NASA Unified WRF modeling framework, NU-WRF. Our analysis did not identify one configuration that consistently performed the best for all diagnostics and regions. Of the cumulus parameterizations the Grell-Freitas cumulus scheme consistently overpredicted precipitation, while the new Tiedtke scheme was the best in simulating the timing of precipitation events. For the radiation schemes, the RRTMG radiation scheme had a general warm bias. For the PBL schemes, the YSU scheme had a warm bias, and the MYJ PBL scheme a cool bias. Results are strongly dependent on the region of interest, with the northern tropics and southwest Western Australia being more sensitive to the choice of physics options compared to southeastern Australia which showed less overall variation and overall better performance across the ensemble. Comparisons with simulations using the Unified Noah LSM showed that CABLE in NU-WRF has a more realistic simulation of evapotranspiration when compared to GLEAM estimates.
Original language | English |
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Pages (from-to) | 4466-4488 |
Number of pages | 23 |
Journal | Journal of Advances in Modeling Earth Systems |
Volume | 11 |
Issue number | 12 |
DOIs | |
Publication status | Published - 1 Dec 2019 |
Bibliographical note
Funding Information:This research was undertaken with the assistance of resources and services from the National Computational Infrastructure (NCI), which is supported by the Australian Government. ERA‐Interim data used in this study/project have been provided by ECMWF and obtained from the ECMWF Data Server. This project is supported through funding from the Australian Research Council (ARC) Centre of Excellence for Climate Extremes (CE170100023). J. Kala is supported by an ARC Discovery Early Career Researcher Grant (DE170100102). All data will be published as an NCI data collection and all software scripts to process the data and reproduce the analysis are available at: https://zenodo.org/record/3563154#.XfGAL79S88Z (doi: 10.5281/zenodo.3563154 ).
Funding Information:
This research was undertaken with the assistance of resources and services from the National Computational Infrastructure (NCI), which is supported by the Australian Government. ERA-Interim data used in this study/project have been provided by ECMWF and obtained from the ECMWF Data Server. This project is supported through funding from the Australian Research Council (ARC) Centre of Excellence for Climate Extremes (CE170100023). J. Kala is supported by an ARC Discovery Early Career Researcher Grant (DE170100102). All data will be published as an NCI data collection and all software scripts to process the data and reproduce the analysis are available at: https://zenodo.org/record/3563154#.XfGAL79S88Z (doi:10.5281/zenodo.3563154).
Publisher Copyright:
© 2019. The Authors.
Keywords
- CABLE
- climate extremes
- regional climate modeling
- WRF