#  Summary

This document is the second revision of the Data Management Plan. The first
version was delivered in D5.2 Data Management Plan (DMP) presentation at M6,
the third one is due at M36 in D5.4. Data Management Plan (DMP) project. The
purpose of this document is to present the management of data in the scope of
the S2S4E project.

#  Keywords

Data, privacy, preservation, open access, storage

**About S2S4E**

The project seeks to improve renewable energy variability management by
developing a tool that for the first time integrates sub-seasonal to seasonal
climate predictions with renewable energy production and electricity demand.

Our long-term goal is to make the European energy sector more resilient to
climate variability and extreme events.

Large-scale deployment of renewable energy is key to comply with the emissions
reductions agreed upon in the Paris Agreement. However, despite being cost
competitive in many settings, renewable energy diffusion remains limited
largely due to seasonal variability. Knowledge of power output and demand
forecasting beyond a few days remains poor, creating a major barrier to
renewable energy integration in electricity networks.

To help solve this problem, S2S4E is developing an innovative service to
improve renewable energy variability management. The outcome will be new
research methods exploring the frontiers of weather conditions for future
weeks and months and a decision support tool for the renewable industry.

More information:

www.s2s4e.eu

#  Introduction

##  Purpose of the document

The objective of this document is to review the policies and technical
solutions about the collected and generated data during the project, across
the different work packages, the data being scientific or not (personal data,
results from surveys, etc.). In the following pages, we only consider new
developments or adjustments compared with the first version of the DMP (D5.2,
M6). The general definitions and policies are in the previous deliverable.

##  Applicable and reference documents

##  The applicable documents are listed in the table below:  
  
<table>  
<tr>  
<th>

Id

</th>  
<th>

Deliverables

</th>  
<th>

WP

</th> </tr>  
<tr>  
<td>

D5.2

</td>  
<td>

Data Management Plan

</td>  
<td>

WP5

</td> </tr>  
<tr>  
<td>

D8.1

</td>  
<td>

POPD – Requirement No. 1: Information sheet of users

</td>  
<td>

WP8

</td> </tr>  
<tr>  
<td>

D8.2

</td>  
<td>

POPD – Requirement No.2: Guideline for personal data management

</td>  
<td>

WP8

</td> </tr> </table>

#  Data collection and storage

##  Type of data collected

As described in the previous version of the DMP (deliverable D5.2), the data
collected during the project will be of two types: scientific data and
personal data. The personal data corresponds to the logins to the DST and the
information provided by the users during the surveys conducted by WP2
Definition of user needs and the role of S2S forecasts in decisionmaking
processes. Regarding the Decision Support Tool (DST) users’ data, it is
foreseen to

collect them after the launching of the DST following the data protection
policy.

##  Data collection method and results

During the reporting period, only scientific data has been collected, using
ssh connections and the web api from the European Centre for Medium-Range
Weather Forecasts (ECMWF).

So far, around 4TB of data has been collected from the following datasets:
era5 reanalysis, ECMWF syste5m C3S, NCEP CFS v2 reanalysis, for variables
surface temperature, minimum and maximum temperature, sea level pressure,
surface wind module, precipitation, solar surface radiation. The period
downloaded is from 1993 to 2019 (ECMWF System5), 1999 to 2019 (NCEP) and 1993
to 2018 (era5). All files are downloaded at the highest temporal frequency
available (1hourly for era5, 6hourly for the other systems) and weekly and
monthly means are computed from them to produce the final data ingested by the
DST.

All this data is kept in the GPFS Native RAID storage at BSC described in the
previous deliverable D5.2.

#  Data sharing

For easy exchange of small temporary scientific data between partners, EUDAT
B2DROP has also been used. This allows easy access to the data, and ensures
the long term availability of the data without having to worry about giving
access to the storage of the partners.

The automatic download of the hydrological data from SMHI to the BSC archive
for further ingestion in the DST has now been set up and will be done through
an ftp server. The expected data size is and the data will be downloaded once
a week for the subseasonal and once a month for the seasonal. The subseasonal
will represent 100MB per week and the monthly data 100MB per month.