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International collaboration to create and maintain international, freely accessible datasets greatly facilitates research in many scientific fields. The Global Historical Climatology Network (GHCN)-Daily database provides access to a diverse range of daily weather station data, including precipitation and temperature variables. These data are supplied as individual, station-specific files and structured in a non-delimited format. Here, the GHCN-Daily data structure, spatio-temporal content and associated caveats are delineated. The regularly updated collection now features data from over 100 000 stations in 218 countries and territories. While rigorous quality tests are routinely applied for GHCN-Daily, the database excludes the original quality flags from the source agencies. The extraction of climate variables from the GHCN-Daily database can be challenging for novice users and may thus dissuade from the uptake of this valuable dataset. Consequently, a user-friendly toolkit for MATLAB and GNU Octave is also provided to aid data retrieval from all relevant weather stations. The toolkit reformats the extracted GHCN-Daily data into a more accessible structure to facilitate data mining and research on a large scale.

The human population is increasingly reliant on the marine environment for food, trade, tourism, transport, communication and other vital ecosystem services. These services require extensive marine infrastructure, all of which have direct or indirect ecological impacts on marine environments. The rise in global marine infrastructure has led to light, noise and chemical pollution, as well as facilitation of biological invasions. As a result, marine systems and associated species are under increased pressure from habitat loss and degradation, formation of ecological traps and increased mortality, all of which can lead to reduced resilience and consequently increased invasive species establishment. Whereas the cumulative bearings of collective human impacts on marine populations have previously been demonstrated, the multiple impacts associated with marine infrastructure have not been well explored. Here, building on ecological literature, we explore the impacts that are associated with marine infrastructure, conceptualising the notion of correlative, interactive and cumulative effects of anthropogenic activities on the marine environment. By reviewing the range of mitigation approaches that are currently available, we consider the role that eco-engineering, marine spatial planning and agent-based modelling plays in complementing the design and placement of marine structures to incorporate the existing connectivity pathways, ecological principles and complexity of the environment. Because the effect of human-induced, rapid environmental change is predicted to increase in response to the growth of the human population, this study demonstrates that the development and implementation of legislative framework, innovative technologies and nature-informed solutions are vital, preventative measures to mitigate the multiple impacts associated with marine infrastructure.

The quality and quantity of observed and reanalysed data influence the direction and accuracy of scientific research. This paper reviews the data available for the study of climate and weather patterns in Australia. A list of global reanalysis and satellite data is provided, along with a more detailed review of available in situ (weather station) data in Australia. Regularly updated climate indices are identified that have previously been linked to Australian climate and weather events. Observation of Australian weather is severely hampered by the continents' vastness and remoteness, as evidenced by heavy bias of in situ measurements that are generally clustered in the coastal high-population centres (mainly southeast of Australia), with central and northern regions often having to rely on remote sensing and reanalysis data. Data sparsity can introduce significant uncertainty in terms of extreme weather and climate change management, as variables such as rainfall exhibit high spatial and temporal variability. Several areas for future research are identified, including investigation into the impact of Australian aerosol levels, the connection between soil moisture and flooding potential, and teleconnection between Atlantic sea surface temperature and Australian climate. While this study focusses on data availability to investigate Australian climate patterns, findings are applicable at a global scale.

Streamflow and baseflow dynamics are driven by complex, interconnected catchment properties. A national study was conducted to assess the relationship between surface flow, climate and intrinsic catchment attributes in Australia. Subcatchments were delineated based on Horton's 5th stream order and were characterised by identifying parameters that influence streamflow and flood behaviour. Because observational datasets like rainfall and streamflow commonly have a non-normal distribution, the method of L-moments was applied to several time series. Surface hydrology and baseflow patterns were represented by twenty indices, which were statistically summarised via principal component (PC) analysis, yielding six PCs. Forty catchment descriptors from the themes of climate, topography, surface condition and hydrogeology were used to investigate their link with runoff patterns. Among these is the land surface value, a newly defined index incorporating soil properties and land use to estimate the capacity for water infiltration. All metrics were explored via correlation and regression analysis against the surface hydrology PCs and their influence on runoff discussed. The predictive skill of the regression models is improved when non-perennial waterways are excluded. Although rainfall characteristics dominate streamflow behaviour, topographical and surface conditions also greatly impact on runoff, especially during low-flow periods.

HF radar data are often collected for time periods that are optimized for current measurement applications where, in many cases, very high temporal resolution is needed. Previous work has demonstrated that this does not provide sufficient averaging for robust wave measurements to be made. It was shown that improvements could be made by averaging the radar data for longer time periods. HF radar provides measurements over space as well as in time, so there is also the possibility to average in space. However, the radar data are correlated in space because of the range and azimuth processing. The implications of this are discussed and estimates of the impact on the reduction in variance in the radar Doppler spectral estimates are obtained. Spatial inhomogeneities and temporal nonstationarity in the ocean wave field itself also need to be taken into account. It is suggested that temporal averaging over periods of up to one hour and spatial averaging over 9–25 nearest neighbors may be suitable, and these will be explored in later work.

Controversy over the oxygen isotope composition of seawater began in the 1950's, since which time there has been no agreement over whether the oxygen isotope composition of the oceans has changed over time. Resolving this uncertainty would allow the δ18O values of demonstrably well preserved marine authigenic precipitates to be used to reconstruct surface climate trends back to early Archean times and would help towards a more quantitative description of Earth's global water cycle on geological time scales. Isotopic studies of marine carbonate and silica reveal a trend of increasing δ18O values with decreasing age since the Archean. This trend has been interpreted by some to reflect a progressive increase in seawater δ18O through time; however, it is generally accepted on the basis of ophiolite studies and theoretical considerations that seawater δ18O cannot change significantly because of the buffering effects of ocean crust alteration at mid-ocean ridges. As a result many alternative interpretations have been proposed, including meteoric alteration; warmer paleoclimates; higher seawater pH; salinity stratification and biased sampling. Here we review these interpretations in the light of an updated compilation of marine carbonate δ18O from around the world, covering the Phanerozoic and Precambrian rock records. Recent models of the geological water cycle demonstrate how long-term trends in chemical weathering and hydrothermal circulation can indeed influence the O-isotope composition of the global ocean to the extent necessary to explain the carbonate δ18O trend, with residual variation attributed to climatic fluctuations and post-depositional alteration. We present the further development of an existing model of the geological water cycle. In the model, seawater δ18O increased from about − 13.3‰ to − 0.3‰ over a period of 3.4 Ga, with average surface temperatures fluctuating between 10 °C to 33 °C, which is consistent with known biological constraints. Similar temperature variations are also obtained, although with higher starting seawater δ18O composition, when more conservative approaches are used that take into account the systematic effects of diagenetic alteration on mean calcite δ18O values. In contrast to much published opinion, the average δ18O value of ocean crust in the model remained relatively unchanged throughout all model runs. Invariable ophiolite δ18O values can, therefore, not be used as a definitive argument against changing seawater δ18O. The most likely explanation for the long-term trend in seawater δ18O invokes two stepwise increases in the ratio of high- to low-temperature fluid/rock interactions. An initial increase may have occurred close to the Archean–Proterozoic boundary, but a possibly more significant increase took place near the Proterozoic–Phanerozoic boundary. Possible explanations for extremely low seawater δ18O during the Archean include higher continental weathering rates caused by a combination of higher atmospheric pCO2 (necessarily combined with high CO2 outgassing rates), a greater abundance of relatively easily weathered volcanic rocks in greenstone belts and partial emergence of spreading ridges. The second increase may have been caused by the suppression of low-temperature overprinting of ocean crust alteration by the formation of a thick sediment cover on ridge flanks due to the emergence of shelly plankton at the beginning of the Phanerozoic. Postulated increases in spreading ridge depths since the Archean would also have enhanced the efficiency of vertical heat flux and changed the depth at which hydrothermal fluids boil, both of which would favour high- over low-temperature interactions with time.

A recurrent interpretation of ancient climate based on the oxygen isotopic composition of marine carbonates and cherts suggests that Earth's climate was substantially warmer in the distant past and remained so until as recently as 400 Myr ago. This interpretation is difficult to reconcile with the long-term glacial record, with evidence for modest weathering rates during most of Earth's history, with biomarker and fossil evidence for eukaryotes and even vertebrates at times of anomalously low δ18O values, and with the predicted faintness of the young Sun. We argue here, following earlier suggestions, that the low δ18O values in ancient rocks are a consequence of the low δ18O of ancient seawater. A modest increase in ocean depth with time, together with progressive increases in pelagic sedimentation on midocean ridge flanks since about 550 Ma, could account for the variation in seawater isotopic composition. The required change in ocean depth, coupled with thinning of the oceanic crust, is a natural consequence of the decline in heat flow over time. Contrary to previous assertions, such a model is not inconsistent with data from ophiolites. It seems likely that Earth's climate remained largely within Phanerozoic norms throughout the past 3.5 Ga.

The worldwide deployment of Argo floats has enabled much more detailed studies of global and regional seas over the last decade. Here, the seasonal variability of the mixed layer depth (MLD) within the Coral Sea was examined with CTD profiles from Argo floats. Multiple threshold values for both temperature and density have been employed to determine the most suitable threshold values for the Coral Sea. A threshold value of 0.04 kg/m(3) for density and 0.2°C for temperature appear the most fitting for this region. Although MLD and isothermal layer depth (ILD) coincide quite well in most cases, the relatively common presence of temporary, non-seasonal barrier layers induces an ILD that is significantly deeper than the MLD. Consequently, an MLD estimation based on density is more appropriate. A distinct seasonality in the MLD is evident throughout the Coral Sea, but is generally more pronounced in higher southern latitudes (20-30°S). Salinity inversions are rare and mainly occur in the south-eastern Coral Sea, while barrier layers are more commonly associated with the north-eastern Coral Sea, a region characterised by high rainfall. The significance of regional currents is evident in the north-western Coral Sea, where temperature and ocean heat content is relatively low due to a northward moving boundary current. Shallow bathymetry, in turn, is linked to the absence of Argo data on the continental shelf and in the central Coral Sea.

In the original correction for doi:10.1371/journal.pone.0060985, the word "based" in the article title was noted as being incorrectly capitalized. However, this correction to the capitalization was not correctly reflected in a correction to the citation. The correct citation is: Jaffres JBD (2013) Mixed Layer Depth Seasonality within the Coral Sea based on Argo Data. PLoS ONE 8(4): e60985. doi:10.1371/journal.pone.0060985. In addition, the original correction incorrectly stated that Figure 10 was not visible in the online version of the article. Figure 10 is visible in the online version, but it and Figure 9 were accidentally switched in the online version.

The impact of waves on the environment (e.g. erosion) and industries (incl. shipping and tourism) can be very significant. Here, we are presenting analysis of coastal wave data in the southern Great Barrier Reef (GBR), Australia, using a combination of observational data (HF radar) and a numerical wave model (WaveWatch3). The modeled significant wave height fields compare reasonably well with those obtained from the radar stations, inducing confidence in the two datasets. The radar-produced wave fields are spatially more variable compared to the model results, linked to the influence of wind stress resolution and currents in accurately determining wave characteristics.

A brief description of three different platforms (WAVEWATCH III, Acoustic Doppler Current Profiler mooring and HF ocean radar) with directional wave measurement capabilities is provided. Initial results of directional wave and wind patterns derived from observations within the southern Great Barrier Reef, Australia, show consistency with the WAVEWATCH III model. These early findings are promising for future wind-wave investigations and validation studies in this region.