EMD-API - Climate Data Access: Difference between revisions
Jump to navigation
Jump to search
mNo edit summary |
|||
Line 1: | Line 1: | ||
== Origin and Purpose == | == Origin and Purpose == | ||
[[File:EMDAPI_451x303.jpg|thumb|350px|right]]EMDAPI is a software library by EMD aimed at delivering a unified interface to the widest range of climate data. EMDAPI helps consultants, analysts and scientists in achieving their goals in an efficient way: EMDAPI provides | [[File:EMDAPI_451x303.jpg|thumb|350px|right]]EMDAPI is a software library by EMD aimed at delivering a unified interface to the widest range of climate data. EMDAPI helps consultants, analysts and scientists in achieving their goals in an efficient way: | ||
* 40+ climate datasets: EMDAPI provides access more than 40 of the best climate datasets and allows access to more than 1Pb of data. | |||
* Unified interface: The unified interface which allows for integration to internal processes and tools - and also very efficient uncertainty analysis with gigabytes of data easily accessed. | |||
* Trusted datasets: The EMDAPI builds upon the trusted data-bases and data-sources that have been used through the [http://help.emd.dk/mediawiki/index.php?title=Main_Page online-data services] in windPRO for more than a decade. | |||
* Built on open standards: he EMDAPI is a [https://en.wikipedia.org/wiki/Representational_state_transfer REST] based service that implements the [https://swagger.io/specification/ OpenAPI] standard]. | |||
* Use any tool: Access to the climate databases is available from your preferred development platform - C#, R, python, html, java, php, scala and swift. Just use the OpenAPI tools to generate the client software for your preferred platform. | |||
== Python - Installation == | == Python - Installation == |
Revision as of 08:07, 25 August 2020
Origin and Purpose
EMDAPI is a software library by EMD aimed at delivering a unified interface to the widest range of climate data. EMDAPI helps consultants, analysts and scientists in achieving their goals in an efficient way:
- 40+ climate datasets: EMDAPI provides access more than 40 of the best climate datasets and allows access to more than 1Pb of data.
- Unified interface: The unified interface which allows for integration to internal processes and tools - and also very efficient uncertainty analysis with gigabytes of data easily accessed.
- Trusted datasets: The EMDAPI builds upon the trusted data-bases and data-sources that have been used through the online-data services in windPRO for more than a decade.
- Built on open standards: he EMDAPI is a REST based service that implements the OpenAPI standard].
- Use any tool: Access to the climate databases is available from your preferred development platform - C#, R, python, html, java, php, scala and swift. Just use the OpenAPI tools to generate the client software for your preferred platform.
Python - Installation
The simplest way to use the EMDAPI with python is to install the client software in a virtual environment. If you are using CONDA or MINICONDA, we recommend that you create a new virtual environment and use a recent 3.x version of python. When the virtual environment is created, then activate the environment.
conda create -n emdapi python=3.8 conda activate emdapi