Difference between revisions of "EMD-API - Climate Data Access"

From Wiki-WindPRO
Jump to navigation Jump to search
m
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 to access more than 40 of the best climate datasets and allows access to more than 1Pb of data. The access is through a unified interface which allows for integration to internal processes and tools - and also very efficient uncertainty analysis with gigabytes of data easily accessed. 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. The EMDAPI is a [https://en.wikipedia.org/wiki/Representational_state_transfer REST] based service that implements the [https://swagger.io/specification/ OpenAPI] standard]. As such, access to the climate databases is available from your preferred development platform - C#, R, python, html, java, php, scala and swift.
+
[[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 09:07, 25 August 2020

Origin and Purpose

EMDAPI 451x303.jpg

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