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Dataset Title:  SPI - Surface cyclone mask for the Antarctic Circumnavigation Expedition from
December 2016 – March 2017.
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Institution:  Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland   (Dataset ID: SPI_10_5281_zenodo_3974311)
Range: longitude = -179.99997 to 179.95596°E, latitude = -74.00534 to -33.86371°N, time = 2016-12-18T00:00:00Z to 2017-03-21T23:00:00Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
       
       
       
       
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")
 
Graph Settings
Marker Type:   Size: 
Color: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Zoom: 
Time range:    |<   -       
[The graph you specified. Please be patient.]

 

Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    UInt32 _ChunkSizes 512;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.4820192e+9, 1.4901372e+9;
    String axis "T";
    String description "time";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
    String x_spi_emodnet_visualise_variable "False";
  }
  cyclone_flag {
    UInt32 _ChunkSizes 1024;
    Int32 actual_range 0, 1;
    String description "mask of occurrence (1) or not (0) of surface cyclones along the ACE track";
    String spi_original_name "cyclone_flag";
    String x_spi_emodnet_visualise_variable "True";
  }
  latitude {
    UInt32 _ChunkSizes 512;
    String _CoordinateAxisType "Lat";
    Float64 actual_range -74.0053383333333, -33.86371;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    String x_spi_emodnet_visualise_variable "False";
  }
  longitude {
    UInt32 _ChunkSizes 512;
    String _CoordinateAxisType "Lon";
    Float64 actual_range -179.999965, 179.955968333333;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    String x_spi_emodnet_visualise_variable "False";
  }
 }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.2,hdf5=1.10.5";
    String cdm_data_type "Other";
    String citation "Thurnherr, I. and Wernli, H. (2020). Surface cyclone mask for the Antarctic Circumnavigation Expedition from December 2016 – March 2017. (Version 1.0) [Data set]. Zenodo. doi: 10.5281/zenodo.3974312";
    String contributors "[{'title': 'Iris Thurnherr', 'path': 'https://orcid.org/0000-0003-3647-0373', 'email': 'iris.thurnherr@env.ethz.ch', 'role': 'author', 'organisation': 'Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland'}, {'title': 'Heini Wernli', 'path': 'https://orcid.org/0000-0001-9674-4837', 'role': 'author', 'organisation': 'Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland'}, {'title': 'Jenny Thomas', 'path': 'https://orcid.org/0000-0002-5986-7026', 'role': 'publisher', 'organisation': 'Swiss Polar Institute'}]";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "Iris Thurnherr";
    String creator_type "institution";
    String creator_url "https://orcid.org/0000-0003-3647-0373";
    String DOI "https://doi.org/10.5281/zenodo.3974312";
    Float64 Easternmost_Easting 179.955968333333;
    Float64 geospatial_lat_max -33.86371;
    Float64 geospatial_lat_min -74.0053383333333;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.955968333333;
    Float64 geospatial_lon_min -179.999965;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-12-13T11:13:59Z (local files)
2024-12-13T11:13:59Z http://erddap.emodnet-physics.eu/tabledap/SPI_10_5281_zenodo_3974311.das";
    String infoUrl "https://doi.org/10.5281/zenodo.3974312";
    String institution "Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland";
    String keywords "ACE, Antarctic Circumnavigation Expedition, Antarctica, cyclone, cyclone frequency, extratropical cyclone, Southern Ocean";
    String license "CC-BY-4.0";
    Float64 Northernmost_Northing -33.86371;
    String platform_code "UBXH3_ace_3974311";
    String platform_name "R/V Akademik Tryoshnikov";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -74.0053383333333;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "This dataset contains a surface cyclone mask, which records the presence of a surface cyclone along the track of the Antarctic Circumnavigation expedition (ACE). The surface cyclones are calculated applying a 2D cyclone identification algorithm (Wernli and Schwierz, 2006; Sprenger et al., 2017) using global operational analysis data of the European Centre for Medium Range Weather Forecasts.";
    String time_coverage_end "2017-03-21T23:00:00Z";
    String time_coverage_start "2016-12-18T00:00:00Z";
    String title "SPI - Surface cyclone mask for the Antarctic Circumnavigation Expedition from December 2016 – March 2017.";
    String type "ferrybox/ship";
    Float64 Westernmost_Easting -179.999965;
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
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