Research Proposal for student grant#
Please read the Introduction and fill out the Proposal below.
Proposal#
Project Data#
Title of the proposal
Please choose an appropriate and concise title for the expedition that refers to the work area.
Cruise participants
Please provide a list of anticipated cruise participants. Include at least your own names.
Methodology#
Research question
Please provide a clear and measurable research question.
Here are some examples of research you can use as inspiration:
The Irminger Gyre: Circulation, convection, and interannual variability
Argo float observations of basin-scale deep convection in the Irminger sea during winter 2011–2012
Note that your question does not have to be novel. The most important is that it is researchable with the expedition planned here.
Study area
Please explain why you chose this research topic and how the anticipated outcomes of your research contribute to our understanding. Word limit: 300.
Choice of vessel
Please state the preferred research vessel for this cruise. Choose from https://www.nioz.nl/national-marine-facilities/research-vessels
If the NIOZ vessels don’t suffice, pick any of the ships available through MFP and explain why you need this ship. https://nioz.marinefacilitiesplanning.com/programme
Scientific equipment required
☐ Underway Data
☐ ADCP (OceanObserver max depth 1000m with data every 24 meters)
☐ ADCP (SeaSeven max depth 150m with data every 4 meters)
☐ XBTs
☐ CTD
☐ Argo floats
☐ Drifters
Please explain why you use the instruments checked above. Word limit: 300.
Cruise Data#
A map and cruise plan can be created through the NIOZ MFP website
Documentation on how to use the website can be found here and you can watch the video below.
Cruise period
Please state the preferred year, season, and/or month(s) for the cruise, and provide reasons for restrictions to limited periods.
Map of working area
Please upload a high-resolution map of the oceans areas you’ll research and inlcude all stations and transects.
Cruise departure and arrival port; and transit days
Please name your preferred port of departure and preferred port of arrival.
Please enter the number of days required for transit from the preferred port of departure to the working area and the number of days required for transit from the working area to the preferred port of arrival, each rounded to the nearest whole number. Please note that transit times from the port of departure to the first station and from the last station in the working area to the port of arrival are regarded as work days at sea, so they are deducted from your three-week availability.
Working areas / EEZs
Please indicate all nations from which research permits would need to be obtained on the basis of planned work in the respective Exclusive Economic Zones (EEZs)
Scientific work program
Please provide a scheme with number of necessary work and in-transit days within the working areas and station times. This can be downloaded from the NIOZ MFP website using the Export button on the right.
Please indicate at each station what instruments you want to deploy (CTD, Argo float, drifter, XBT) and take the deployment time into account. If you plan to use Argo floats, please give the required depth and cycle duration. In case of the CTD the deployment time depends on the depth of the ocean.
Here is some sample code to sample the depth using the bathymetry data that the Virtual Ship will also use.
[1]:
# example for plotting and querying bathymetry data
# Download data
import requests
files = {
"GLO-MFC_001_024_mask_bathy.nc": "https://surfdrive.surf.nl/files/index.php/s/AdbtlgP3LJv6tOn/download",
}
for filename, url in files.items():
response = requests.get(url, allow_redirects=True)
if response.status_code == 200:
with open(filename, "wb") as f:
f.write(response.content)
else:
print("Failed to download", url)
print("Download ready")
Download ready
[2]:
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import xarray as xr
# Load the bathymetry data using xarray
data = xr.open_dataset("GLO-MFC_001_024_mask_bathy.nc")
# Create a bathymetry figure and axis with Cartopy projection
fig, ax = plt.subplots(figsize=(15, 5), subplot_kw={"projection": ccrs.PlateCarree()})
data.deptho.plot(ax=ax, cmap="viridis")
# Specify extent, add gridlines and coastlines, show plot
ax.set_extent(
(130, 160, -70, -40), crs=ccrs.PlateCarree()
) # set extent as (x0, x1, y0, y1)
ax.gridlines(draw_labels=True)
ax.coastlines()
plt.show()
# Query and print the bathymetry data at the specified location
station_depth = data.deptho.sel(latitude=-50, longitude=150, method="nearest")
print(f"The depth at this station is: {station_depth.values} meters")

The depth at this station is: 3992.48388671875 meters
Feasibility
Please explain how the methodology detailed in this proposal aims to answer your research question. Word limit: 500.
Contingency
Please explain which stations/measurements you will skip in case of unforseen circumstances that delay your planning. Word limit: 300.