Argovis - Regional Selection

Описание: This is the fourth video in a series of tutorials about the web app argovis.colorado.edu and shows how to browse all the Argo profiles in a region and period of interest.
The web app argovis.colorado.edu aims to improve visualization and data retrieval of the Argo dataset. This web app is a maintainable, scalable, and portable tool written with representational state transfer (REST) architecture. RESTful design offers us the opportunity to feature cloud computing applications; chiefly, map comparison from existing gridded Argo products, as well as parameter estimation such as basin mean T/S/P. Currently, Argovis is expanding to co-locate Argo data with weather events, satellite and other Earth science datasets. Also, as we continue to implement improvements on Argovis, you may notice some differences between this video and current webpages.

The about page of the web app argovis.colorado.edu introduces the web app website and links to other useful information (e.g. FAQs, tutorials). The Argovis tutorials page provides more information about available APIs, along with sample code in different programming languages (e.g. Python, Matlab).

Citation for the Argovis web app and the Argovis database:
Tucker, T., D. Giglio, M. Scanderbeg, and S.S.P. Shen, 0: Argovis: A Web Application for Fast Delivery, Visualization, and Analysis of Argo Data. J. Atmos. Oceanic Technol., 37, 401–416, [https://doi.org/10.1175/JTECH-D-19-00...] (https://doi.org/10.1175/JTECH-D-19-00...)

If using data from Argovis in publicaitons, please cite both the above Argovis web application paper and the original Argo data source reference in your paper:

" These data were collected and made freely available by the International Argo Program and the national programs that contribute to it. (http://www.argo.ucsd.edu, http://argo.jcommops.org). The Argo Program is part of the Global Ocean Observing System. "
Argo (2000). Argo float data and metadata from Global Data Assembly Centre (Argo GDAC). SEANOE. http://doi.org/10.17882/42182