Journal article
An evaluation of IMERG and ERA5 quantitative precipitation estimates over the Southern Ocean using shipborne observations
Estefania Montoya Duque, Yi Huang, Peter May, Steven Siems
Journal of Applied Meteorology and Climatology | American Meteorological Society | Published : 2023
Abstract
Recent voyages of the Australian RV Investigator across the remote Southern Ocean have provided unprecedented observations of precipitation made with both an OceanRAIN maritime disdrometer and a dual-polarization C-band weather radar (OceanPOL). This present study employs these observations to evaluate the Global Precipitation Mission (GPM) Integrated MultisatellitE Retrievals (IMERG) and the ECMWF reanalysis (ERA5) precipitation products. Working at a resolution of 60 minutes and 0.25° (~25 km), light rain and drizzle are most frequently observed across the region. The IMERG product overestimated precipitation intensity when evaluated against the OceanRAIN but captured the frequency of occu..
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Grants
Awarded by National Aeronautics and Space Administration
Funding Acknowledgements
Australian Research Council Discovery Grant DP190101362 supported this work. The ARC Centre of Excellence for Climate Extremes also supported Y. Huang (CE170100023). The Securing Antarctica's Environmental Future (SAEF) program supported S. T. Siems. The authors acknowledge the thorough work of the Australian Bureau of Meteorology (BoM), the Marine National Facility (MNF), and CSIRO teams to collect, postprocess, and make available the datasets collected in different voyages with the R/V Investigator, as well as the NASA and ECMWF teams for producing the IMERG and ERA5 datasets. We especially thank Dr. Alain Protat and Dr. Valentin Louf from the BoM for their great efforts in quality control, producing the precipitation estimates from the OceanPOL radar, and providing the Himawari-8 dataset. Also, we thank the <EM><STRONG> </STRONG></EM>National Computational Infrastructure (NCI) for providing/storing the OceanPOL, IMERG, ERA5, and Himawari-8 data, and Dr. Son Truong for providing the k-means cluster center values for the synoptic classification. Last, we thank the reviewers for their insightful comments, which helped us improve this paper.r National Computational Infrastructure (NCI) for providing/storing the OceanPOL, IMERG, ERA5, and Himawari-8 data, and Dr. Son Truong for providing the k-means cluster center values for the synoptic classification. Last, we thank the re-viewers for their insightful comments, which helped us im-prove this paper.