Data

AUS2200 Unified Model atmospheric simulation of a Madden-Julian Oscillation event during a La-Nina phase, Jan and Feb 2018, over Australia at 2.2km resolution. v1.0

National Computational Infrastructure
Roberts, Dale ; Petrelli, Paola ; Vincent, Claire Louise
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25914/1cz8-vk42&rft.title=AUS2200 Unified Model atmospheric simulation of a Madden-Julian Oscillation event during a La-Nina phase, Jan and Feb 2018, over Australia at 2.2km resolution. v1.0&rft.identifier=10.25914/1cz8-vk42&rft.publisher=NCI Australia&rft.description=AUS2200 simulation using the Unified Model (UM) to simulate a Madden-Julian Oscillation (MJO) during a La-Nina ENSO phase. This simulation is part of a set of experiments built on the results of Dao et al. (2023), who used observational data to show statistically significant differences in the evolution of the MJO over Australia under different ENSO phases. Moreover, there is distinct geographic variation in the rainfall response to both the MJO and ENSO in coastal regions, including in the diurnal cycle of rainfall. These simulations of a complete MJO cycle from phase 1 through 8 under three different ENSO states are designed to interrogate the interscale interactions in the rainfall response to ENSO, the MJO and the diurnal cycle. The simulation period is January-February 2018. This simulation is run using the UM v12.2, forcing are the ECMWF ERA5 and ERA5-Land reanalysis fields and the Bureau of Meteorology's Atmospheric high-resolution Regional Reanalysis for Australia (BARRA-R v1.0) for soil moisture. The simulation was run restarting every 24 hours to avoid soil moisture drifting. The output was post-processed using the ACCESS-MOPPeR tool (doi: zenodo.10346217) following wherever possible the CMIP6 conventions.   References Dao, T. L., C. L. Vincent, and T. P. Lane, 2023: Multiscale Influences on Rainfall in Northeast Australia. J. Climate, 36, 5989–6006, https://doi.org/10.1175/JCLI-D-22-0835.1   CreditThis data is supported by the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS), with access to resources provided through the ACCESS-NRI Merit Allocation Scheme and the National Computational Infrastructure (NCI)This record was harvested by RDA at 2025-04-18T16:34:30.411+10:00 from NCI's Data Catalogue where it was last modified at 2023-06-11.This dataset is an output of the research program - CLEX Weather and Climate Interactions&rft.creator=Roberts, Dale &rft.creator=Petrelli, Paola &rft.creator=Vincent, Claire Louise &rft.date=2024&rft.edition=1.0&rft.coverage=northlimit=-6.82; southlimit=-48.80; westlimit=107.52; eastLimit=158.98&rft.coverage=northlimit=-6.82; southlimit=-48.80; westlimit=107.52; eastLimit=158.98&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_rights=Creative Commons Attribution 4.0 International&rft_subject=climatologyMeteorologyAtmosphere&rft_subject=370201 - Climate change processes, 370105 - Atmospheric Dynamics, 370101 - Adverse weather events&rft.type=dataset&rft.language=English Access the data

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Brief description

This record was harvested by RDA at 2025-04-18T16:34:30.411+10:00 from NCI's Data Catalogue where it was last modified at 2023-06-11.

Full description

AUS2200 simulation using the Unified Model (UM) to simulate a Madden-Julian Oscillation (MJO) during a La-Nina ENSO phase. This simulation is part of a set of experiments built on the results of Dao et al. (2023), who used observational data to show statistically significant differences in the evolution of the MJO over Australia under different ENSO phases. Moreover, there is distinct geographic variation in the rainfall response to both the MJO and ENSO in coastal regions, including in the diurnal cycle of rainfall. These simulations of a complete MJO cycle from phase 1 through 8 under three different ENSO states are designed to interrogate the interscale interactions in the rainfall response to ENSO, the MJO and the diurnal cycle. The simulation period is January-February 2018. This simulation is run using the UM v12.2, forcing are the ECMWF ERA5 and ERA5-Land reanalysis fields and the Bureau of Meteorology's Atmospheric high-resolution Regional Reanalysis for Australia (BARRA-R v1.0) for soil moisture. The simulation was run restarting every 24 hours to avoid soil moisture drifting. The output was post-processed using the ACCESS-MOPPeR tool (doi: zenodo.10346217) following wherever possible the CMIP6 conventions.   References Dao, T. L., C. L. Vincent, and T. P. Lane, 2023: Multiscale Influences on Rainfall in Northeast Australia. J. Climate, 36, 5989–6006, https://doi.org/10.1175/JCLI-D-22-0835.1  

Credit

This data is supported by the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS), with access to resources provided through the ACCESS-NRI Merit Allocation Scheme and the National Computational Infrastructure (NCI)

Lineage

This dataset is an output of the research program - CLEX Weather and Climate Interactions

Created: 17 10 2024

Issued: 02 12 2024

Modified: 10 12 2024

Data time period: 2018-01-01 to 2018-03-01

This dataset is part of a larger collection

158.98,-6.82 158.98,-48.8 107.52,-48.8 107.52,-6.82 158.98,-6.82

133.25,-27.81

text: northlimit=-6.82; southlimit=-48.80; westlimit=107.52; eastLimit=158.98

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