Identification

Title

Introducing students to scientific Python for atmospheric science

Abstract

Within the geoscience community, enthusiasm for the scientific Python ecosystem continues to grow (Nagpal and Gabrani 2019). As software tools created with Python continue to emerge and mature, researchers and educators are able to leverage their knowledge of the language to tackle problems from processing Earth observation data (Raspaud et al. 2018) to weather analysis (Blumberg et al. 2017). The success and growth of the American Meteorological Society’s Symposium on Advances in Modeling and Analysis Using Python -- which debuted at the January 2010 AMS Annual Meeting (Lin 2012) -- is a good indicator of the continuing adoption of Python tools in the AMS community. Enthusiasm for the Python scientific ecosystem was especially apparent among students at the 2020 AMS Annual Meeting, with undergraduate and graduate students playing significant roles in organizing and conducting Python-focused events. Of special interest was a large workshop conducted as part of the 19th Annual AMS Student Conference, which brought together roughly 140 students for a 90-min hands-on course focused on providing an introduction to Python for the atmospheric sciences (Fig. 1).

Resource type

document

Resource locator

Unique resource identifier

code

http://n2t.net/ark:/85065/d7m61pjm

codeSpace

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

geoscientificInformation

Keywords

Keyword set

keyword value

Text

originating controlled vocabulary

title

Resource Type

reference date

date type

publication

effective date

2016-01-01T00:00:00Z

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

End position

Dataset reference date

date type

publication

effective date

2020-09-09T00:00:00Z

Frequency of update

Quality and validity

Lineage

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Limitations on public access

None

Responsible organisations

Responsible party

contact position

OpenSky Support

organisation name

UCAR/NCAR - Library

full postal address

PO Box 3000

Boulder

80307-3000

email address

opensky@ucar.edu

web address

http://opensky.ucar.edu/

name: homepage

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact