ORCID Profile
0000-0002-7725-3474
Current Organisation
CSIRO
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Physical Oceanography | Marine Engineering | Meteorology | Climate Change Processes | Oceanography | Maritime Engineering
Climate Change Models | Oil and Gas Exploration | Weather | Civil Construction Design |
Publisher: American Geophysical Union (AGU)
Date: 08-2019
DOI: 10.1029/2018JC014871
Publisher: Elsevier BV
Date: 03-2008
Publisher: Elsevier BV
Date: 08-2020
Publisher: Elsevier BV
Date: 02-2014
Publisher: Elsevier BV
Date: 06-2008
Publisher: Elsevier BV
Date: 12-2015
Publisher: American Geophysical Union (AGU)
Date: 28-05-2014
DOI: 10.1002/2014GL060073
Publisher: Australian Ocean Data Network
Date: 2021
DOI: 10.26198/5X7D-Z237
Publisher: Elsevier BV
Date: 02-2019
Publisher: Australian Ocean Data Network
Date: 2021
DOI: 10.26198/6HHC-EZ81
Publisher: CSIRO
Date: 2018
Publisher: Springer Science and Business Media LLC
Date: 22-06-2022
DOI: 10.1038/S41597-022-01459-3
Abstract: There are numerous global ocean wave reanalysis and hindcast products currently being distributed and used across different scientific fields. However, there is not a consistent dataset that can s le across all existing products based on a standardized framework. Here, we present and describe the first coordinated multi-product ensemble of present-day global wave fields available to date. This dataset, produced through the Coordinated Ocean Wave Climate Project (COWCLIP) phase 2, includes general and extreme statistics of significant wave height (H
Publisher: American Geophysical Union (AGU)
Date: 22-10-2020
DOI: 10.1029/2020GL089296
Publisher: Elsevier BV
Date: 09-2008
Publisher: American Geophysical Union (AGU)
Date: 02-2021
DOI: 10.1029/2020JC016265
Abstract: An intercomparison between directional wave spectra derived from Sentinel‐1 Synthetic Aperture Radar (SAR) satellites and a WAVEWATCH III model hindcast in the wider Australian region is presented. The coastal buoy network around Australia is considerably sparse, and only a handful of buoy measurements exist in deeper oceans. National and regional scale wave models require validation and verification through intercomparisons with available observations to be confidently adopted and improved. In the absence of dense in‐situ measurements, satellite‐derived surface wave data provide an invaluable and independent source of observations. Satellite altimeters provide well‐calibrated significant wave height data, but do not resolve wave directions, and are also not the platform of choice for resolving wave periods. SAR satellites that routinely map ocean surface waves fill this gap as they are able to measure directional wind‐wave spectra of long period waves. This constitutes an important satellite data stream for better understanding the propagation of swell waves across ocean basins, and for comparisons with national and down‐scaled wave models. However, both SAR wave measurements as well as wave models do not represent the truth and need qualification before regarding them as reliable data sets. The aim of this article is to perform an intercomparison of a wave model hindcast with SAR‐derived wave information in the wider Australian region. The comparisons are done in the context of mean wave climate and its seasonal variability, and demonstrate good agreement for wave heights and periods. Valuable insights into possible sources of disagreement are given.
Publisher: Elsevier BV
Date: 09-2008
Publisher: Elsevier BV
Date: 02-2022
Publisher: Wiley
Date: 24-02-2015
DOI: 10.1002/JOC.4268
Publisher: American Geophysical Union (AGU)
Date: 02-2020
DOI: 10.1029/2019JF005354
Abstract: The Southern Ocean (in the region 60–180° E) south of the Indian Ocean, Australia, and the West Pacific is noted for the frequent occurrence and severity of its storms. These storms give rise to high‐ litude secondary microseisms from sources, including the deep ocean regions, and primary microseisms where the swells impinge on submarine topographic features. A better understanding of the varying microseism wavefield enables improvements to seismic imaging and development of proxy observables to complement sparse in situ wave observations and hindcast models of the global ocean wave climate. We analyze 12–26 years of seismic data from 11 seismic stations either on the East Antarctic coast or sited in the Indian Ocean, Australia, and New Zealand. The power spectral density of the seismic wavefield is calculated to explore how the time‐changing microseism intensity varies with (i) sea ice coverage surrounding Antarctica and (ii) the Southern Annular Mode (SAM) climate index. Variations in sea ice extent are found to be the dominant control on the microseism intensity at Antarctic stations, which exhibit a seasonal pattern phase‐shifted by 4–5 months compared to stations in other continents. Peaks in extremal intensity at East Antarctic stations occur in March–April, with the highest peaks for secondary microseisms occurring during negative SAM events. This relationship between microseism intensity and the SAM index is opposite to that observed on the Antarctic Peninsula. This work informs the complexity of microseism litudes in the Southern Hemisphere and assists ongoing interdisciplinary investigations of interannual variability and long‐term trends.
Publisher: Springer Science and Business Media LLC
Date: 14-10-2016
Publisher: Elsevier BV
Date: 10-2020
Publisher: American Meteorological Society
Date: 09-05-2014
DOI: 10.1175/JCLI-D-13-00198.1
Abstract: The seasonal structure of the wind sea and swell is analyzed from the existing 29-yr surface gravity wave climatology produced using a coupled atmosphere–wave model. The swell energy fraction analysis shows that swell dominates most of the World Ocean basins for all four seasons, and the Southern Ocean swells dominate swell in the global ocean. The swells are loosely correlated with the surface wind in the midlatitude storm region in both hemispheres, while their energy distribution and propagation direction do not show any relation with local winds and vary significantly with season because of nonlinear interactions. The same coupled system is then used to investigate the projected future change in wind-sea and swell climate through a time-slice simulation. Forcing of the coupled model was obtained by perturbing the model sea surface temperatures and sea ice with anomalies generated by representative Working Group on Coupled Modelling (WGCM) phase 3 of the Coupled Model Intercomparison Project (CMIP3) coupled models that use the IPCC Fourth Assessment Report (AR4) A1B scenario late in the twenty-first century. Robust responses found in the wind seas are associated with modified climate indices. A dipole pattern in the North Atlantic during the boreal winter is associated with more frequent occurrence of the positive North Atlantic Oscillation (NAO) phases under global warming, and the wind-sea energy increase in the Southern Ocean is associated with the continuous shift of the southern annular mode (SAM) toward its positive phase. Swell responses are less robust because of nonlinearity. The only consistent response in swells is the strong energy increase in the western Pacific and Indian Ocean sector of the Southern Ocean during the austral winter and autumn.
Publisher: Springer Science and Business Media LLC
Date: 23-03-2023
DOI: 10.1038/S41597-023-02046-W
Abstract: The dataset consists of ocean surface wind speed and direction at 10 m height and 1 km spatial resolution around the wider Australian coastal areas, spanning 4 years (2017 to 2021) of measurements from Sentinel-1 A and B imaging Synthetic Aperture Radar (SAR) platforms. The winds have been derived using a consistent SAR wind retrieval algorithm, processing the full Sentinel-1 archive in this region. The data are appropriately quality controlled, flagged, and archived as NetCDF files representing SAR wind field maps aligned with satellite along-track direction. The data have been calibrated against Metop-A/B Scatterometer buoy-calibrated, wind measurements and examined for potential changes in calibration over the duration of the data. The calibrated data are further validated by comparisons against independent Altimeter (Cryosat-2, Jason-2, Jason-3, and SARAL) wind speeds. Several methods for data access are also listed. The database is potentially useful for offshore industries (oil and gas, fisheries, shipping, offshore wind energy), public recreational activities (fishing, sailing, surfing), and protection and management of coasts and natural habitats.
Publisher: American Meteorological Society
Date: 04-2010
Publisher: MDPI AG
Date: 12-2021
DOI: 10.3390/CLI9120173
Abstract: Long-term changes of wind-generated ocean waves have important consequences for marine engineering, coastal management, ship routing, and marine spatial planning. It is well-known that the multi-annual variability of wave parameters in the North Atlantic is tightly linked to natural fluctuations of the atmospheric circulation, such as the North Atlantic Oscillation. However, anthropogenic climate change is also expected to influence sea states over the long-term through the modification of atmospheric and ocean circulation and melting of sea ice. Due to the relatively short duration of historical sea state observations and the significant multi-decadal variability in the sea state signal, disentangling the anthropogenic signal from the natural variability is a challenging task. In this article, the literature on inter-annual to multi-decadal variability of sea states in the North Atlantic is reviewed using data from both observations and model reanalysis.
Publisher: Elsevier BV
Date: 11-2015
Publisher: American Association for the Advancement of Science (AAAS)
Date: 12-06-2020
Abstract: Extreme wind-wave events are changing and, by the end of the century, may increase by 5 to 10% over extensive ocean regions.
Publisher: CSIRO Publishing
Date: 31-12-2018
DOI: 10.22499/3.6801.010
Publisher: CSIRO
Date: 2018
Publisher: American Association for the Advancement of Science (AAAS)
Date: 11-01-2023
Abstract: Understanding uncertainties in extreme wind-wave events is essential for offshore/coastal risk and adaptation estimates. Despite this, uncertainties in contemporary extreme wave events have not been assessed, and projections are still limited. Here, we quantify, at global scale, the uncertainties in contemporary extreme wave estimates across an ensemble of widely used global wave reanalyses/hindcasts supported by observations. We find that contemporary uncertainties in 50-year return period wave heights ( H s 50 ) reach (on average) ~2.5 m in regions adjacent to coastlines and are primarily driven by atmospheric forcing. Furthermore, we show that uncertainties in contemporary H s 50 estimates dominate projected 21st-century changes in H s 50 across ~80% of global ocean and coastlines. When translated into broad-scale coastal risk analysis, these uncertainties are comparable to those from storm surges and projected sea level rise. Thus, uncertainties in contemporary extreme wave events need to be combined with those of projections to fully assess potential impacts.
Publisher: Elsevier BV
Date: 08-2006
Publisher: Elsevier BV
Date: 10-2005
Publisher: Springer Science and Business Media LLC
Date: 23-04-2021
DOI: 10.1038/S41598-021-87358-W
Abstract: Global climate change will alter wind sea and swell waves, modifying the severity, frequency and impact of episodic coastal flooding and morphological change. Global-scale estimates of increases to coastal impacts have been typically attributed to sea level rise and not specifically to changes to waves on their own. This study provides a reduced complexity method for applying projected extreme wave changes to local scale impact studies. We use non-stationary extreme value analysis to distil an incremental change signal in extreme wave heights and associate this with a change in the frequency of events globally. Extreme wave heights are not projected to increase everywhere. We find that the largest increases will typically be experienced at higher latitudes, and that there is high ensemble model agreement on an increase (doubling of events) for the waters south of Australia, the Arabian Sea and the Gulf of Guinea by the end of the twenty-first century.
Publisher: Elsevier BV
Date: 06-2022
Publisher: American Geophysical Union (AGU)
Date: 09-2010
DOI: 10.1029/2010GL044595
Publisher: Springer Science and Business Media LLC
Date: 21-06-2021
DOI: 10.1038/S41467-021-23982-4
Abstract: Coastal studies of wave climate and evaluations of wave energy resources are mainly regional and based on the use of computationally very expensive models or a network of in-situ data. Considering the significant wave height, satellite radar altimetry provides an established global and relatively long-term source, whose coastal data are nevertheless typically flagged as unreliable within 30 km of the coast. This study exploits the reprocessing of the radar altimetry signals with a dedicated fitting algorithm to retrieve several years of significant wave height records in the coastal zone. We show significant variations in annual cycle litudes and mean state in the last 30 km from the coastline compared to offshore, in areas that were up to now not observable with standard radar altimetry. Consequently, a decrease in the average wave energy flux is observed. Globally, we found that the mean significant wave height at 3 km off the coast is on average 22% smaller than offshore, the litude of the annual cycle is reduced on average by 14% and the mean energy flux loses 38% of its offshore value.
Publisher: Elsevier BV
Date: 09-2017
Publisher: Springer Science and Business Media LLC
Date: 14-05-2021
Publisher: No publisher found
Date: 2015
Publisher: MDPI AG
Date: 16-12-2021
DOI: 10.3390/EN14248504
Abstract: The global tidal energy resource for electricity generation is small, and converting tidal kinetic energy to electricity is expensive compared to solar-photovoltaic or land-based wind turbine generators. However, as the renewable energy content in electricity supplies grows, the need to stabilise these supplies increases. This paper describes tidal energy’s potential to reduce intermittency and variability in electricity supplied from solar and wind power farms while lowering the capital expenditure needed to improve dispatchability. The paper provides a model and hypothetical case studies to demonstrate how sharing energy storage between tidal stream power generators and wind or solar power generators can mitigate the level, frequency, and duration of power loss from wind or solar PV farms. The improvements in dispatchability use tidal energy’s innate regularity and take account of tidal asymmetry and extended duration low-velocity neap tides. The case studies are based on a national assessment of Australian tidal energy resources carried out from 2018 to 2021.
Publisher: Elsevier BV
Date: 09-2018
Publisher: CSIRO
Date: 2012
Publisher: Elsevier BV
Date: 12-2022
Publisher: European Wave and Tidal Energy Conference
Date: 09-09-2020
Abstract: With the tidal energy industry moving towards commercial-scale developments, it is important to consider potential interactions between tidal energy converters (TECs) and the marine environment prior to the instalment of large-scale TEC arrays. The Banks Strait, a tidal channel located in the northeast of Tasmania, Australia, was identified as a promising candidate site for tidal energy by the Australian Tidal Energy (AUSTEn) project. To gain an understanding about potential overlap between TEC arrays and fish usage of the Banks Strait tidal channel, fish density distributions were estimated from hydroacoustic surveys during the tidal resource characterization c aign. Differences in fish density were examined according to bottom–depth, bottom – type, current speed, temperature and vertical distribution. Fish densities were significantly higher at night and displayed preferences for depths between 20 – 40 m and current speeds between 1.75 – 2 m/s. Fish density was generally highest in the bottom 10 m from the sea floor at all depths s led. Variation by temperature and bottom–type s led was not significant. Future studies involving long-term, stationary surveys of fish densities along with repeated surveys across different seasons would provide a more wholistic picture of fish distributions in the Banks Strait to inform developers about potential device encounter probabilities.
Publisher: Springer Science and Business Media LLC
Date: 09-09-2011
Publisher: Elsevier BV
Date: 12-2016
Publisher: Elsevier BV
Date: 06-2021
Publisher: Springer Science and Business Media LLC
Date: 21-01-2022
Publisher: Elsevier BV
Date: 12-2017
Publisher: Elsevier BV
Date: 12-2004
Publisher: Elsevier BV
Date: 10-2013
Publisher: IEEE
Date: 07-2019
Publisher: AIP Publishing
Date: 07-2010
DOI: 10.1063/1.3464753
Abstract: The Southern Australian margin is one of the most energetic regions in the world suitable for the extraction of wave energy for electricity generation. We have produced a data set in which the deep-water wave energy resource for the region is described by three representative deep-water wave states, equivalent to the 10th, 50th, and 90th percentiles of the deep-water wave energy flux, derived from archives of the USA National Oceanic and Atmospheric Administration (NOAA) WaveWatch III (NWW3) operational wave model. The Simulating WAves Nearshore (SWAN) wave model is then applied along the full Southern Australian margin to propagate these representative wave states into the near-shore region to quantify the effects of shallow water processes such as refraction, shoaling, and bottom friction. The wave energy incident on the 25-m isobath (∼30–50 kW/m) is approximately 35%–50% less than the World Energy Council estimates of offshore wave energy but is approximately 20% greater than the energy observed from long-term buoy deployments on the midshelf. The latter discrepancy is attributed to an overestimation of significant wave height along the Southern Australian margin by the NWW3 model. The near-shore model applied in this study adequately simulates the attenuation of wave heights across the continental shelf when compared with estimates of wave height attenuation obtained from the Topex satellite altimeter. The attenuation of wave energy across the continental shelf reduces the estimates of offshore wave energy as given by the World Energy Council however the wave energy resource incident on the Southern Australian margin remains considerable. We estimate that if 10% of the incident near-shore energy in this region, which is an ambitious target when conversion efficiency is considered, were converted to electricity, approximately 130 TW h/yr (one-half of Australia’s total present-day electricity consumption) would be produced.
Publisher: American Meteorological Society
Date: 06-2012
Publisher: Elsevier BV
Date: 05-2021
Publisher: No publisher found
Date: 2015
Publisher: Springer Science and Business Media LLC
Date: 24-03-2016
Publisher: Informa UK Limited
Date: 19-05-2021
Publisher: American Geophysical Union (AGU)
Date: 08-2015
DOI: 10.1002/2015JB012210
Publisher: American Geophysical Union (AGU)
Date: 07-2021
DOI: 10.1029/2020EF001882
Abstract: This study provides a literature‐based comparative assessment of uncertainties and biases in global to world‐regional scale assessments of current and future coastal flood risks, considering mean and extreme sea‐level hazards, the propagation of these into the floodplain, people and coastal assets exposed, and their vulnerability. Globally, by far the largest bias is introduced by not considering human adaptation, which can lead to an overestimation of coastal flood risk in 2100 by up to factor 1300. But even when considering adaptation, uncertainties in how coastal societies will adapt to sea‐level rise dominate with a factor of up to 27 all other uncertainties. Other large uncertainties that have been quantified globally are associated with socio‐economic development (factors 2.3–5.8), digital elevation data (factors 1.2–3.8), ice sheet models (factor 1.6–3.8) and greenhouse gas emissions (factors 1.6–2.1). Local uncertainties that stand out but have not been quantified globally, relate to depth‐damage functions, defense failure mechanisms, surge and wave heights in areas affected by tropical cyclones (in particular for large return periods), as well as nearshore interactions between mean sea‐levels, storm surges, tides and waves. Advancing the state‐of‐the‐art requires analyzing and reporting more comprehensively on underlying uncertainties, including those in data, methods and adaptation scenarios. Epistemic uncertainties in digital elevation, coastal protection levels and depth‐damage functions would be best reduced through open community‐based efforts, in which many scholars work together in collecting and validating these data.
Publisher: Elsevier BV
Date: 09-2014
Publisher: Springer Science and Business Media LLC
Date: 22-01-2016
Publisher: International Glaciological Society
Date: 2004
DOI: 10.3189/172756404781814311
Abstract: The Amery Ice Shelf Ocean Research (AMISOR) project aims to examine and quantify processes involved in the interaction between the ice shelf, the interior grounded ice and the oceanic water masses that circulate beneath it. Two boreholes were melted through the shelf, within 100 km of the calving front, to access the ocean cavity. One (AM02) was at a site where it was believed that basal melt was occurring, and the other (AM01) was in a region with accreted marine ice. At both sites the summertime ocean structure revealed meltwater-modified boundary layers up to 100 m thick immediately beneath the shelf. Salinity and temperature data in the upper cavity at AM02 showed a strong seasonal cycle as a result of a combination of ice-shelf basal melt, and the intrusion of ocean water masses modified by sea-ice processes in Prydz Bay. At AM01, a 200m thick layer of marine ice underlay the meteoric ice, and showed an increase in salinity and decrease in stable-isotope fractionation with depth. The lowest 100m of marine ice was highly permeable, with a rectangular banded textural facies. Other preliminary results from this study are also reported.
Publisher: American Meteorological Society
Date: 06-2020
Publisher: Elsevier BV
Date: 10-2017
Publisher: Australian Ocean Data Network
Date: 2021
DOI: 10.26198/H1C1-EC64
Publisher: No publisher found
Date: 2015
Publisher: Elsevier BV
Date: 2018
Publisher: American Geophysical Union (AGU)
Date: 08-01-2014
DOI: 10.1002/2013GL058193
Publisher: American Meteorological Society
Date: 15-03-2023
Abstract: We present four 140-yr wind-wave climate simulations (1961–2100) forced with surface wind speed and sea ice concentration from two CMIP6 GCMs under two different climate scenarios: SSP1–2.6 and SSP5–8.5. A global three-grid system is implemented in WAVEWATCH III to simulate the wave–ice interactions in the Arctic and Antarctic regions. The models perform well in comparison with global satellite altimeter and in situ buoys climatology. The comparison with traditional trend analyses demonstrates the present GCM-forced wave models’ ability to reproduce the main historical climate signals. The long-term datasets allow a comprehensive description of the twentieth- and twenty-first-century wave climate and yield statistically robust trends. Analysis of the latest IPCC ocean climatic regions highlights four regions where changes in wave climate are projected to be most significant: the Arctic, the North Pacific, the North Atlantic, and the Southern Ocean. The main driver of offshore wave climate change is the wind, except for the Arctic where the significant sea ice retreat causes a sharp increase in the projected wave heights. Distinct changes in the wave period and the wave direction are found in the Southern Hemisphere, where the poleward shift of the Southern Ocean westerlies causes an increase in the wave period of up to 5% and a counterclockwise change in wave direction of up to 5°. The new CMIP6 forced wave models improve in performance compared to previous CMIP5 forced wave models, and will ultimately contribute to a new CMIP6 wind-wave climate model ensemble, crucial for coastal adaptation strategies and the design of future marine offshore structures and operations. The purpose of this study is to advance the understanding of ocean wind-wave climate evolution over the twentieth and twenty-first centuries and to effectively communicate the long-term impacts of climate change in erse wind-wave climatic regions across the globe. The 140-yr continuous model results produced in this work are crucial to studying changes in extreme sea states and investigating the relationship between interdecadal periodic oscillations and long-term climate trends. The dataset produced can be used to gain further insight into the substantial long-term changes of the polar wind-wave climate caused by the rapid decrease of sea ice coverage, and the evolution of the directional changes in the sea states triggered by climate change.
Publisher: Elsevier BV
Date: 08-2023
Publisher: Springer Science and Business Media LLC
Date: 21-12-2022
DOI: 10.1038/S43247-022-00654-9
Abstract: Historical trends in the direction and magnitude of ocean surface wave height, period, or direction are debated due to erse data, time-periods, or methodologies. Using a consistent community-driven ensemble of global wave products, we quantify and establish regions with robust trends in global multivariate wave fields between 1980 and 2014. We find that about 30–40% of the global ocean experienced robust seasonal trends in mean and extreme wave height, period, and direction. Most of the Southern Hemisphere exhibited strong upward-trending wave heights (1–2 cm per year) and periods during winter and summer. Ocean basins with robust positive trends are far larger than those with negative trends. Historical trends calculated over shorter periods generally agree with satellite records but vary from product to product, with some showing a consistently negative bias. Variability in trends across products and time-periods highlights the importance of considering multiple sources when seeking robust change analyses.
Publisher: Elsevier BV
Date: 07-2012
Publisher: IEEE
Date: 05-2010
Publisher: American Geophysical Union (AGU)
Date: 11-2006
DOI: 10.1029/2006JC003622
Publisher: American Geophysical Union (AGU)
Date: 19-03-2016
DOI: 10.1002/2016GL067924
Publisher: American Geophysical Union (AGU)
Date: 08-2020
DOI: 10.1029/2020JC016078
Publisher: American Geophysical Union (AGU)
Date: 08-2020
DOI: 10.1029/2020JC016354
Publisher: Elsevier BV
Date: 07-2016
Publisher: Elsevier BV
Date: 09-2015
Publisher: Wiley
Date: 09-07-2012
DOI: 10.1002/JOC.3537
Publisher: SAGE Publications
Date: 02-2017
Abstract: The history of ocean renewable energy developments in Australia is reviewed. A layperson’s description of the physical operating principle is given for the main classes of technology that have been tested in Australian waters. The Australian marine domain possesses among the world’s most energetic wave-energy resources, driven by powerful mid-latitude westerly winds. The northern coast of Western Australia has tidal ranges significant on a global scale, and some geographical features around the continent have local tidal resonances. The East Australian Current, one of the world’s major western boundary currents, runs along the eastern Australian seaboard, offering potential for ocean-current energy. Sea-water temperatures in the tropical north-east of Australia may permit ocean thermal energy conversion. While this abundance of resources makes Australia an ideal location for technology development, the population is highly concentrated in a few large cities, and transmission infrastructure has developed over a century to supply cities from traditional power plants. Several wave-power developments have resulted in demonstration of deployments in Australian waters, three of which have been grid connected. Trials of tidal devices have also occurred, while other classes of ocean renewable energy have not yet been trialled. The prospects for marine renewable energy in Australia are discussed including non-traditional applications such as coastal protection and energy export.
Publisher: Frontiers Media SA
Date: 09-07-2019
Publisher: Elsevier BV
Date: 10-2022
Publisher: American Meteorological Society
Date: 11-2012
DOI: 10.1175/BAMS-D-11-00170.1
Abstract: The role waves play in modulating interactions between oceans and atmosphere is emphasized. All exchanges (e.g., momentum, energy, heat, mass, radiation fluxes) are influenced by the geometrical and physical characteristics of the ocean surface, which separates the atmospheric and oceanic boundary layers. A qualitative overview of the main relevant surface gravity wave–driven processes at the air–sea interface that may have an important role in the coupled climate system in general and the atmospheric and oceanic boundary layers in particular is provided.
Publisher: Elsevier BV
Date: 03-2020
Publisher: Cambridge University Press
Date: 28-05-2012
Publisher: Springer Science and Business Media LLC
Date: 09-2015
Publisher: Wiley
Date: 14-08-2021
DOI: 10.1002/GDJ3.104
Abstract: Wind‐wave hindcast data have many applications including climatology assessments for renewable energy projects, maritime engineering design, event‐based impact assessments, generating boundary conditions for further downscaling, amongst others. Here, we present a global wave hindcast with nested high‐resolution grids for the Exclusive Economic Zones of Australia and south west Pacific Island Countries, that is extended in time monthly. The model employs strategic methods to incorporate the effects of subgrid sized features such as small islands and islets. Various bulk wave parameters are available hourly from January 1979 to present, along with the full wave spectra at a set of 3,683 predetermined points distributed globally.
Publisher: Springer Science and Business Media LLC
Date: 19-08-2019
Publisher: Elsevier BV
Date: 08-2018
Publisher: Elsevier BV
Date: 11-2018
Publisher: Elsevier BV
Date: 09-2018
Publisher: Elsevier BV
Date: 03-2020
Publisher: Wiley
Date: 03-04-2010
DOI: 10.1002/JOC.1900
Publisher: No publisher found
Date: 2015
Publisher: Wiley
Date: 19-11-2019
DOI: 10.1002/JOC.6357
Location: Australia
Location: United States of America
Start Date: 2013
End Date: 07-2017
Amount: $330,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2013
End Date: 12-2017
Amount: $225,000.00
Funder: Australian Research Council
View Funded Activity