CanWIN ERDDAP
The Canadian Watershed Information Networks' ERDDAP server making scientific data more accessible

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Make A Graph

Dataset Title:	Northern Hemisphere Extratropical Cyclone Tracks in CMIP6
Institution:	Centre for Earth Observation Science - University of Manitoba (Dataset ID: Cyclone_tracks_CMIP6_cdc8_7f93_c4b1)
Information:	Summary \| License \| Metadata \| Background \| Subset \| Data Access Form \| Files

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Graph Type:

X Axis:

Y Axis:

Color:

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.

Graph Settings

Marker Type:

Size:

Color:

Color Bar:

Continuity:

Scale:

Minimum:

Maximum:

N Sections:

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

)

[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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  url {
    String ioos_category "Identifier";
    String long_name "URL";
  }
  name {
    String ioos_category "Identifier";
    String long_name "File Name";
  }
  lastModified {
    String ioos_category "Time";
    String long_name "Last Modified";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  size {
    String ioos_category "Other";
    String long_name "Size";
    String units "bytes";
  }
  fileType {
    String ioos_category "Identifier";
    String long_name "File Type";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String creator_email "alex.crawford@umanitoba.ca";
    String creator_name "Crawford, A.";
    String history 
"2025-09-29T00:30:46Z (local files)
2025-09-29T00:30:46Z http://CanWINerddap.ad.umanitoba.ca/tabledap/Cyclone_tracks_CMIP6_cdc8_7f93_c4b1.das";
    String infoUrl "https://canwin-datahub.ad.umanitoba.ca/data/dataset/cnect-nh-cmip6";
    String institution "Centre for Earth Observation Science - University of Manitoba";
    String keywords "Climate Change, Cyclone, Modeling";
    String license "Creative Commons Attribution 4.0 International";
    String sourceUrl "(local files)";
    String subsetVariables "fileType";
    String summary "This dataset comprises a series of CSV files, each of which catalogues a suite of information for an individual cyclone track for the Northern Hemisphere. Detection and tracking are conducted using version 13.2 of the Lagrangian cyclone detection and tracking algorithm described by Crawford et al. (2021). This algorithm is applied to sea-level pressure data from climate model simulations that were run as part of the Coupled Model Intercomparison Project Phase 6 (CMIP6) at a 6-hour temporal resolution and 100-km spatial resolution. Of the 22 models included, 13 provided the sufficient inputs for five experiments: historical, SSP1-2.6 (low emissions), SSP2-4.5 (medium emissions), SSP3-7.0 (high emissions), and SSP5-8.5 (very high emissions). The other 9 models are only present from historical and SSP5-8.5. The historical simulation is 1950-2014. The CMIP6 simulations are from 2015-2100. Also included is a comparable set of historical cyclone tracks (1950-2014) derived from the 5th version of the European Centre for Medium-Range Weather Forecasts (ECMWF) Retrospective Analysis (ERA5). The cyclone detection and tracking algorithm was applied to sea-level pressure inputs with the same spatial and temporal resolution as the CMIP6 data.";
    String title "Northern Hemisphere Extratropical Cyclone Tracks in CMIP6";
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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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