From open data to global digital public good

Håvard Futsæter

doi:10.5194/ems2021-200

Abstract

&lt;p&gt;MET Norway has had an open data policy for many years. A permissive open data license, and a freely accessible service through which to gain access to the dataset is the first step. However, the data is not useful before it is understood and used in decision-making.&lt;/p&gt;&lt;p&gt;MET Norway serves many user groups, many of which have very different needs for open meteorological data. To cater for the different user needs, MET Norway provides multiple distribution services. One of our most important open data data services is MET Norway Weather API, a global location based time series forecast service. (https://developer.yr.no/featured-products/forecast/)&lt;/p&gt;&lt;p&gt;MET Norway has recently joined the Digital Public Goods Alliance, to help reach the Sustainable Development Goals(SDG) (https://sdgs.un.org/goals)&amp;#160; by leveraging our MET Norway Weather API service as a digital public good.&lt;/p&gt;&lt;p&gt;&amp;#8220;The Digital Public Goods Alliance is a multi-stakeholder initiative with a mission to accelerate the attainment of the sustainable development goals in low- and middle-income countries by facilitating the discovery, development, use of, and investment in digital public goods.&amp;#8221; (https://digitalpublicgoods.net/about/)&lt;/p&gt;&lt;p&gt;Moving from open data to a digital public good has meant taking a more active part in identifying, exploring and understanding the needs that low -and middle-income countries have. The needs considered are both end-user needs and gaps/tools/competency needs across the value chain. And we are trying to find ways our data and services can help fill those needs in an operational sustainable way by co-creating applications built on top of our services.&lt;/p&gt;&lt;p&gt;In this presentation we will first describe our experience with serving open and free weather forecast data. Then describe the challenges in moving from open data to working with our data as an SDG.&lt;/p&gt;&lt;p&gt;The presentation will be focused both on user needs and on technical challenges connected to running a global freely available open data service.&lt;/p&gt;

Highlights

OSA1.3 : Meteorological observations from GNSS and other space-based geodetic observing techniques OSA1.7: The Weather Research and Forecasting Model (WRF): development, research and applications
OSA3.5: MEDiterranean Services Chain based On climate PrEdictions (MEDSCOPE)
UP2.1 : Cities and urban areas in the earth- OSA3.1: Climate monitoring: data rescue, atmosphere system management, quality and homogenization 14:00-15:30

Summary

Introduction

OSA1.3 : Meteorological observations from GNSS and other space-based geodetic observing techniques OSA1.7: The Weather Research and Forecasting Model (WRF): development, research and applications. EMS Annual Meeting Virtual | 3 - 10 September 2021 Strategic Lecture on Europe and droughts: Hydrometeorological processes, forecasting and preparedness Serving society – furthering science – developing applications: Meet our awardees ES2.1 - continued until 11:45 from 11:45: ES2.3: Communication of science ES2.2: Dealing with Uncertainties

Results

Conclusion