http://lod.bco-dmo.org/id/dataset/888783
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2023-02-02
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Coupled atmosphere-wave-ocean simulation of Hurricane Dorian from August 29 to September 7, 2019
2023-02-02
publication
2023-02-02
revision
BCO-DMO Linked Data URI
2023-02-02
creation
http://lod.bco-dmo.org/id/dataset/888783
Claire B. Paris-Limouzy
University of Miami
principalInvestigator
Milan Curcic
University of Miami
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Curcic, M., Paris-Limouzy, C. B. (2023) Coupled atmosphere-wave-ocean simulation of Hurricane Dorian from August 29 to September 7, 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-02-02 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/888783 [access date]
Methods and Sampling: <p><strong>Model description<br />
Atmosphere</strong>: Weather Research and Forecasting (WRF, https://github.com/wrf-model/WRF) model v4.2.2, with the Advanced Research WRF (ARW) dynamical core. The model has a 3-km resolution grid over the parent domain and a 1-km resolution nest over the Bahamas region (September 1-7 only), both with 45 vertical layers. Initial and boundary conditions are based on 6-hourly ERA-5 dataset.</p>
<p><strong>Ocean Waves</strong>: University of Miami Wave Model (UMWM, https://umwm.org). The model is configured at the same 3-km as the atmosphere model, and has 36 directional bins and 37 frequency bins that are logarithmically spaced from 0.0313 to 2 Hz.</p>
<p><strong>Ocean Circulation</strong>: HYbrid Coordinate Ocean Model (HYCOM, https://github.com/HYCOM) v2.3.01, configured at 0.01-degree resolution and 41 vertical layers. Initial and boundary conditions are based on daily GOFS 3.1 41-layer HYCOM + NCODA Global 1/12° Analysis, daily. K-Profile Parameterization for vertical mixing.</p>
<p>Coupling: Earth System Modeling Framework (ESMF, https://github.com/esmf-org/esmf) v8.0.1</p>
<p><strong>Coupling interface</strong>: Earth System Modeling Framework (ESMF, v8.0.0,&nbsp;https://github.com/esmf-org/esmf) is a software framework that facilitates data exchange and regridding between model components.</p>
<p><strong>Coupled model implementation</strong>: The coupling of the atmosphere, ocean waves, and ocean circulation model components is done by implementing model component-specific interfaces using ESMF (the coupling framework). The implementation is largely based on the set of equations described in Curcic (2015). In a nutshell, the coupled model advances each model component by one or more time steps. Each model component may have different time steps. In the case of this simulation, WRF and UMWM were configured with 15-s time steps, while HYCOM was configured with a 5-s time step. Thus, for each of the WRF and UMWM time steps, HYCOM advances for three time steps. Once all three model components are co-located in time, the coupling interface performs the exchange of fields between the model components. WRF passes the horizontal components of 10-m wind vector and air density to UMWM, and radiative and enthalpy fluxes and precipitation to HYCOM. UMWM passes wave growth stress vector to WRF and wave-dissipative stress to HYCOM. Finally, HYCOM passes sea surface temperature and surface current to WRF, and surface current and water density to UMWM. Each model component then updates its model state with the coupling fields that it received from other components. The interpolation of fields between model grids is conservative and performed in parallel by ESMF using a sparse matrix multiplication-based algorithm.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2006295 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2006295
onGoing
Claire B. Paris-Limouzy
University of Miami
305-421-4219
University of Miami Rosenstiel School of Marine and Atmospheric Science, Division of Marine Physics 4600 Rickenbacker Causeway
Miami
FL
33149-1098
USA
cparis@rsmas.miami.edu
pointOfContact
Milan Curcic
University of Miami
305-898-9770
University of Miami Rosenstiel School of Marine and Atmospheric Science 4600 Rickenbacker Causeway
Miami
FL
33149-1098
USA
mcurcic@miami.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Collaborative Research: RAPID: Storm and tropical cyclone effects on the spawning activity, larval dispersal, and ecosystem impacts of an endangered marine predator
https://osprey.bco-dmo.org/project/825391
Collaborative Research: RAPID: Storm and tropical cyclone effects on the spawning activity, larval dispersal, and ecosystem impacts of an endangered marine predator
<p>NSF Award Abstract:</p>
<p>Many species of reef fish form large seasonal gatherings at specific locations to spawn. Such aggregations may lead to population overfishing if not well managed. Additionally, spawning aggregations in shallow coastal areas may also be susceptible to prolonged surge, high volumes of freshwater run-off and potentially changes in salinity associated with large storms and tropical cyclones. Yet, the impact from such events, which are becoming increasingly prevalent, has not been studied. This study investigates the impacts of hurricane Dorian on spawning activity of the endangered goliath grouper (Epinephelus itajara) fish species off the southeast coast of Florida. The broader impacts of the project relate to its value to inform fisheries management plans for goliath grouper. The project supports two early career faculty members and training of a postdoctoral researcher, a graduate student, and several undergraduate students at Florida International University.</p>
<p>Hurricane Dorian occurred at the peak of goliath grouper's spawning aggregation in Florida's shallow waters. This project takes advantage of ongoing acoustic surveys since 2017, telemetry, biophysical modelling, and behavioral studies of goliath grouper at spawning sites to assess how hurricane Dorian: 1) influenced the duration of spawning events and the size of aggregations, 2) affected individual residency to spawning sites and spawning behavior, 3) changed the dispersal patterns of goliath grouper larvae and identify nursery habitats with/without storm or hurricane events, and 4) influenced trophic cascades at the reef ecosystem level due to goliath grouper spawning aggregations as determined by changes on lower trophic level foraging rates and the subsequent changes to the benthos. The combination of methods provide insight into how storms affects spawning behavior from the individual to the group level, and how subsequent larval recruitment may be influenced. Finally, this project tests the utility of acceleration sensors for identifying spawning behavior in free ranging fishes, which will be of major significance to spawning studies across taxa.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
Storm effect on predator
largerWorkCitation
project
eng; USA
oceans
-82
-65
18
34
2019-08-29
2019-09-07
Jupiter, Florida; and Bahamas
0
BCO-DMO catalogue of parameters from Coupled atmosphere-wave-ocean simulation of Hurricane Dorian from August 29 to September 7, 2019
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
https://osprey.bco-dmo.org/dataset/888783/data/download
download
onLine
dataset
<p><strong>Model description<br />
Atmosphere</strong>: Weather Research and Forecasting (WRF, https://github.com/wrf-model/WRF) model v4.2.2, with the Advanced Research WRF (ARW) dynamical core. The model has a 3-km resolution grid over the parent domain and a 1-km resolution nest over the Bahamas region (September 1-7 only), both with 45 vertical layers. Initial and boundary conditions are based on 6-hourly ERA-5 dataset.</p>
<p><strong>Ocean Waves</strong>: University of Miami Wave Model (UMWM, https://umwm.org). The model is configured at the same 3-km as the atmosphere model, and has 36 directional bins and 37 frequency bins that are logarithmically spaced from 0.0313 to 2 Hz.</p>
<p><strong>Ocean Circulation</strong>: HYbrid Coordinate Ocean Model (HYCOM, https://github.com/HYCOM) v2.3.01, configured at 0.01-degree resolution and 41 vertical layers. Initial and boundary conditions are based on daily GOFS 3.1 41-layer HYCOM + NCODA Global 1/12° Analysis, daily. K-Profile Parameterization for vertical mixing.</p>
<p>Coupling: Earth System Modeling Framework (ESMF, https://github.com/esmf-org/esmf) v8.0.1</p>
<p><strong>Coupling interface</strong>: Earth System Modeling Framework (ESMF, v8.0.0,&nbsp;https://github.com/esmf-org/esmf) is a software framework that facilitates data exchange and regridding between model components.</p>
<p><strong>Coupled model implementation</strong>: The coupling of the atmosphere, ocean waves, and ocean circulation model components is done by implementing model component-specific interfaces using ESMF (the coupling framework). The implementation is largely based on the set of equations described in Curcic (2015). In a nutshell, the coupled model advances each model component by one or more time steps. Each model component may have different time steps. In the case of this simulation, WRF and UMWM were configured with 15-s time steps, while HYCOM was configured with a 5-s time step. Thus, for each of the WRF and UMWM time steps, HYCOM advances for three time steps. Once all three model components are co-located in time, the coupling interface performs the exchange of fields between the model components. WRF passes the horizontal components of 10-m wind vector and air density to UMWM, and radiative and enthalpy fluxes and precipitation to HYCOM. UMWM passes wave growth stress vector to WRF and wave-dissipative stress to HYCOM. Finally, HYCOM passes sea surface temperature and surface current to WRF, and surface current and water density to UMWM. Each model component then updates its model state with the coupling fields that it received from other components. The interpolation of fields between model grids is conservative and performed in parallel by ESMF using a sparse matrix multiplication-based algorithm.</p>
Specified by the Principal Investigator(s)
<p>Each model component outputs a NetCDF file for each output snapshot. We read the individual component output files and combined them into a post-processed summary output file.</p>
<p><strong>BCO-DMO Processing Description:</strong><br />
- Adjusted field/parameter names to comply with BCO-DMO naming conventions<br />
- Missing data identifier ‘NaN’ replaced with 'blank' (BCO-DMO's default missing data identifier)</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact