![]() ![]() ![]() By combining a commercial estuarine fisheries catch‐rate dataset (4 species, 8 estuaries, 10 years) and the high‐resolution atmospheric reanalysis model, we show that negative effects of upwelling favourable winds during the spawning period can be detected in lagged estuarine commercial fisheries catch rates (lagged by 2–8 years depending on species' growth rates), potentially representing the same mechanism proposed for larval fish. Normalised larval abundance decreased following strong upwelling favourable winds but increased after onshore (downwelling favourable) winds, due to wind‐driven transport. The increase in abundance may reflect increased nutrient and plankton availability for larval fish. Here, we combine datasets from a historical database of larval fish off southeast Australia with a high‐resolution atmospheric reanalysis model to show that normalised abundance of coastally spawned larvae increased with weak to moderate upwelling favourable winds 14 days prior to sampling. BARRA-C adds value in the representation of the spatial pattern of cold extremes over coastal regions but remains biasedĬoastal winds transport water masses and larval fish onshore or offshore which may influence estuarine recruitment, yet our understanding of the mechanism underlying this relationship is limited. The spatial patterns of BARRA-C warm temperature extremes and wet precipitation extremes are more highlyĬorrelated with observations. An added-value analysis of temperature and precipitation extremes shows that BARRA-C provides additional skill over BARRA-R whenĬompared to gridded observations. System, BARRA-C largely inherits the domain-averaged bias pattern from BARRA-R but does produce different climatological extremes for temperatureĪnd precipitation. Reflects known issues of CPMs: overestimation of heavy rain rates and rain cells, as well as underestimation of light rain occurrence. BARRA-C also improves upon BARRA-R in terms of the intensityĪnd timing of precipitation during the thunderstorm seasons in NSW and spatial patterns of sub-daily rain fields during storm events. Temperature and wind, particularly in topographically complex regions and coastal regions. BARRA-C demonstrates better agreement with point observations for Observation locations and against independent 5 km gridded analyses. (BARRA-C) are assessed for their added skill over BARRA-R and global reanalyses for near-surface parameters (temperature, wind, and precipitation) at The resulting 29-year 1.5 km downscaled reanalyses Four midlatitude sub-regions are centred on Perth in WesternĪustralia, Adelaide in South Australia, Sydney in New South Wales (NSW), and Tasmania. Research by nesting them in BARRA's 12 km regional reanalysis (BARRA-R). ![]() The Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis forĪustralia (BARRA) also aims to realize the benefits of these high-resolution models over Australian sub-regions for applications such as fire danger (1–4 km) regional reanalysis and climate projections. The development of convection-permitting models (CPMs) in numerical weather prediction has facilitated the creation of kilometre-scale Regional reanalyses provide a dynamically consistent recreation of past weather observations at scales useful for local-scale environmentalĪpplications.
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