#  EXECUTIVE SUMMARY

The HYDRALAB+ project is aimed at strengthening the coherence of experimental
hydraulic and hydrodynamic research undertaken across its partner
organisations. Accordingly, each research activity in HYDRALAB+ will require
one or more Data Management Plans (DMPs). Indeed, Horizon 2020 guidelines
emphasise that “Data Management Plans (DMPs) are a key element of good data
management” and a DMP sets out the life cycle of the data to be collected,
processed and stored by HYDRALAB+. HYDRALAB+ is also a voluntary member of the
H2020 Open Data Pilot. This requires participants to make their publications
open access and their research data _**Findable** _ , _**Accessible** _ ,
_**Interoperable** _ and _**Reusable** _ – FAIR for short. The aims of this
report are to recommend mechanisms for capturing, storing and managing DMPs
for the whole of HYDRALAB+ and describe a case study exemplar of how a data
management plan should be created and maintained during the lifecycle of each
experiment.

There is a sufficiently large number of research activities in HYDRALAB+ to
make the management of these DMPs a complex issue in itself. It is therefore
sensible to introduce a mechanism for marshalling them in a manageable form.
The Digital Curation Centre has built and maintains a database and user
interface to facilitate the storage , editing and retrieval of DMPs across a
broad range of funding body requirements including Horizon 2020: DMP Online.
HYDRALAB+ research activities can make use of the Horizon 2020 DMP template,
available through the DMP Online website user interface, to manage and
maintain their DMPs.

The following actions are recommended for the creation and management of DMPs
across the HYDRALAB+ project:

· Use DMP Online to create and manage Data Management Plans;

· Use defined common identifiers to uniquely distinguish experiments and DMPs;

· Share DMPs with leaders of other interested HYDRALAB+ work packages;

· Include in each DMP a recommended MIME type (a mechanism for specifying the
format of a data set so that any intelligent application can read and make
best use of it) for each discrete dataset where possible.

A database of project activities will be maintained along with a record of the
status of each activity’s Data Management Plan.

Also included in this report is a case study exemplar (an experiment that is
being led by HR Wallingford) illustrating use of DMP Online to create and
maintain a Data Management Plan adhering to the Horizon 2020 template and EC
Guidelines on FAIR Data Management.

This report is D10.1 of the HYDRALAB+ project, entitled “Data Management
Plan”. It is one of the outputs of Work Package 10 – JRA3: Facilitating the
Re-use and Exchange of Experimental Data.

#  1 INTRODUCTION

_“A**data management plan** or **DMP** is a formal document that outlines how
you will handle your data both during your research, and after the project is
completed. The goal of a data management plan is to consider the many aspects
of data management, metadata generation, data preservation, and analysis
before the project begins; this ensures that data are well-managed in the
present, and prepared for preservation in the future.” _ 1

_HYDRALAB_ is a network of research institutes with world-leading hydraulic
and hydrodynamic experimental facilities. The HYDRALAB+ project is funded by
the European Commission through the Horizon2020 programme and is aimed at
strengthening the coherence of experimental hydraulic and hydrodynamic
research by improving infrastructure with a focus on adaptation to climate
change issues. HYDRALAB+ has three key objectives:

  1. to widen the use of, and access to, unique hydraulic and hydrodynamic research infrastructures in the EU through the **Transnational Access** (TA) programme, which offers researchers the opportunity to undertake experiments in rare facilities to which they would not normally have access; 

  

  2. to improve experimental methods to enhance hydraulic and hydrodynamic research and address the future challenges of climate change adaptation, through our programme of **Joint Research Activities** (JRAs). The JRAs are undertaking R&D to develop and disseminate tools and techniques that will keep European laboratories at the forefront of hydraulic experimentation; and 

  

  3. to network with the experimental hydraulic and hydrodynamic research community throughout Europe and share knowledge, best practice and data with the wider scientific community and other stakeholders, including industry and government agencies. Some training will also be provided to the next generation of researchers. 

  

  

HYDRALAB+ is also a voluntary member of the H2020 Open Data Pilot. This
requires participants to make their publications open access and their
research data _**Findable** _ , _**Accessible** _ , _**Interoperable** _ and
_**Reusable** _ – FAIR for short (EC, 2016). General guidelines on **FAIR**
data management can be found in

EC (2016), the H2020 online manual section on _Open Access_ and _Data
Management_ and the H2020 Annotated Model Grant Agreement.

EC (2016) emphasizes _that “Data Management Plans (DMPs) are a key element of
good data management”_ as a DMP sets out the life cycle (see section 1.1) of
the data to be collected, processed and stored by HYDRALAB+. The requirement
that data be FAIR means that information on the following should be made
available in the DMP:

· _“the handling of research data during and after the end of the project_

· _what data will be collected, processed and generated_

· _which methodology and standards will be applied_

· _whether data will be shared/made open access and_

· _how data will be curated and preserved (including after the end of the
project)”_ (EC, 2016).

A Data Management Plan is a living document. This first version can only be an
outline that will evolve as the project progresses and should be updated when
there are significant changes, such as the collection of new data, the
planning of new (or different) experiments, changes in consortium policies and
in time for the periodic (and final) reviews of the project.

##  1.1 AIMS

This report is D10.1 of the Hydralab+ project, entitled “Data Management
Plan”. It is one of the outputs of Work Package 10 – JRA3: Facilitating the
Re-use and Exchange of Experimental Data. Its aim is to recommend mechanisms
for capturing, storing and managing Data Management Plans for the whole of
HYDRALAB+.

It makes recommendations for data collected as part of the JRAs and TA. At
this stage, DMPs for each of these experiments are not fully known (for
example, the second round of applications for Transnational Access have not
been assessed by the User Selection Panel, and the projects have not been
chosen). This document therefore sets out in general terms what should happen
and makes recommendations for HYDRALAB+ experiments for creating and managing
Data Management Plans.

In addition, it describes a case study exemplar of how a data management plan
should be created and maintained during the lifecycle of each experiment.

###  1.2 MANAGEMENT OF DATA MANAGEMENT PLANS

There are many Data Management Plan (DMP) schemas available to researchers. In
other words, there are many different ways of recording useful information
about experimental data. Indeed, such schemas can be created by the researcher
for a specific experiment – or sometimes not at all. This variety makes the
task of communicating information about data sets across contextual boundaries
potentially difficult, time-consuming and costly.

However, funding bodies and other stake-holding organizations increasingly
require consistent, coherent and complete data management plans for research
activities. This makes communication easier and more effective and fits into
the requirements for HYDRALAB+ by providing an agreed platform for
communication between the three main contexts of activity (field, laboratory
and computer).

As such, **each research activity in HYDRALAB+ will require one or more
DMPs.** There is a sufficiently large number of research activities in
HYDRALAB+ to make the management of the DMPs a complex issue in itself. It is
therefore sensible to introduce a mechanism for marshalling these DMPs in a
manageable form.

The **Digital Curation Centre** (DCC) is _“an internationally-recognized
centre of expertise in digital curation with a focus on building capability
and skills for research data management. The DCC provides expert advice and
practical help to research organizations wanting to store, manage, protect and
share digital research data”_ 2  _._

The DCC has built and maintains a database and user interface to facilitate
the storage, editing and retrieval of Data Management Plans across a broad
range of funding body requirements including Horizon 2020\. This is **DMP
Online** .  3

###  1.3 DATA COLLECTION/GENERATION ACTIVITIES

Data will be collected as part of the Joint Research Activities ( **JRAs** )
and Transnational Access ( **TA** ) parts of HYDRALAB+. The purposes of these
activities are somewhat different, as outlined in the sections below.

####  1.3.1 Joint Research Activities

Joint Research Activities (JRAs) are aimed at improving the goods and services
offered by European hydraulics laboratories, so that they remain at the
technological forefront of hydraulic research. The three JRAs in HYDRALAB+
are:

  1. **RE** presenting **C** limate change **I** n **P** hysical **E** xperiments ( **RECIPE** – work package 8). RECIPE is developing innovative experimental techniques, methods and protocols that will overcome barriers to research progress in modelling climate change in physical experiments. A range of laboratory experiments will be undertaken to assist with these tasks. 

  

  2. **C** ross-disciplinary **O** bservations of **M** orphodynamics and **P** rotective structures, **L** inked to **E** cology and e **X** treme events ( **COMPLEX** – work package 9). 

  

  

COMPLEX is developing tools and protocols to (i) improve observational
equipment for measuring at complex boundaries, (ii) incorporate vegetation and
biologically active sediment surfaces and (iii) allow evaluation of complex
hard and soft engineering solutions.

A range of laboratory experiments will also be undertaken to assist with these
tasks. Synergies between JRAs 1 and 2 will be exploited, where possible, by
combining experiments from both JRAs in the test schedule.

  3. **F** acilitating the **R** e-use and **E** xchange of **E** xperimental Data ( **FREE Data** – work package 10). FREE Data is developing the techniques and tools for collecting and sharing data in a FAIR way. No physical experiments are being undertaken in FREE Data. 

  

  

JRA experiments are conducted by HYDRALAB+ participants in the experimental
facilities of HYDRALAB+, with an emphasis on joint experiments with multiple
participants, often trying different tools and techniques as part of a
coordinated experimental plan. The details of the current experimental
programme are given in _**Table 2 JRA experiments in HYDRALAB+** _ , but are
being developed as HYDRALAB+ develops.

####  1.3.2 Transnational access

Transnational Access (TA) provides opportunities for researchers to form
multi-national teams and bid for access to advanced hydraulic experimental
facilities to which they would not normally have access. The HYDRALAB+ TA
facilities are based at the institutes: Deltares, Aalto University,
CNRSGrenoble, DHI, HR Wallingford Ltd., HSVA, Leibniz Universität Hannover,
NTNU, University of Hull and Universitat Politèchnica de Catalunya.

The experimental facilities being made available are designed for research
across a range of disciplines, including hydraulics, geophysical
hydrodynamics, morphodynamics, ecohydraulics, ice engineering and hydraulic
structures.

Potential TA users form multi-national teams, choose an experimental topic,
identify a suitable facility and write a proposal to undertake a set of
experiments.

Each proposal is checked for technical suitability then reviewed by an
independent User Selection Panel. Therefore, the purpose of the data
generation is not known until the successful proposals have been selected.
There will be at least two calls for new TA proposals during HYDRALAB+. The
selected projects from the first call are listed in _**Table 3 Transnational
experiments granted by HYDRALAB+ first call for proposals** _ .

##  1.4 DMP ONLINE

HYDRALAB+ research activities can make use of the Horizon 2020 DMP template
(available through the DCC DMP Online website user interface) to manage and
maintain their data management plans. With such a facility already available
it would appear superfluous to invest in the design and development of a
functionally similar (if not identical) application specifically for
HYDRALAB+.

For such a system to be useful to HYDRALAB+, it is essential that common
access across research domains (field, lab, and computer), research activities
(JRA, TA) and management levels is maintained.

The facility to share common information about data management is also
important and benefits from a consistent data format allowing searching and
aggregating across domain boundaries. In practice the exporting of DMPs to a
standard consistent schema and format is a basic requirement. To that end the
existing XML schema used by DMP Online for exporting DMPs will be the de facto
standard for exchanging information about DMPs.

###  1.4.1 DMP Access

The DMP Online user interface allows for multiple users to have access to a
given DMP. There are three permission levels:

· **Read-only** users can only read the plan.

· **Editor** users can contribute to the plan.

· **Co-owner** users can also contribute to the plan, but additionally can
edit the plan details and control access to the plan.

###  1.4.2 DMP Development Cycle

DMP Online leads the data management plan through three main stages of
development:

· **Initial –** this stage represents the first version of your DMP and should
be submitted within the first six months of the project.

It is not required to provide detailed answers to all the questions in the
_**Initial** _ version of the DMP. The DMP is intended to be a living document
in which information can be made available on a finer level of granularity
through updates as the implementation of the project progresses and when
significant changes occur. DMPs should have a clear version number and include
a timetable for updates

· **Detailed** – this stage represents the main working stage of the plan
throughout its lifetime · **Final review** – this stage represents the DMP as
a completed document for review.

###  1.4.3 DMP Online Export Formats

The DMP Online user interface allows the user at any point in the DMP life
cycle to export the DMP to one of the following formats:

· csv

· html

· json

· pdf

· text

· xml

· docx

A number of these formats (particularly XML) will be useful for the later
searching or collating of information about HYDRALAB+ data management plans
and research activities generally.

###  1.4.4 DMP Licenses

The DMP Online user interface also allows the user to specify how the data
will be licensed or released and the site provides useful guidance for this.
4

#  2 FAIR DATA

One of the requirements for HYDRALAB+ experimental data is for it to be “FAIR”
(findable, accessible, interoperable and re-usable). From the sources outlined
in the introduction to this document we can add guidelines from DMP Online.
However, a brief outline of considerations for completing a DMP section on
this includes (but are not limited to):

##  2.1 MAKING DATA FINDABLE, INCLUDING PROVISIONS FOR METADATA

· Outline the discoverability of data (metadata provision);

· Outline the identifiability of data and refer to standard identification
mechanism (e.g. do you make use of persistent and unique identifiers such as
Digital Object Identifiers (DOIs)?);

· Outline naming conventions used throughout;

· Outline the approach towards search keyword selection;

· Outline the approach for clear versioning;

· Specify standards for metadata creation (if any). If there are no standards
in your discipline then describe what metadata will be created and how.

##  2.2 MAKING DATA OPENLY ACCESSIBLE

· Specify which data will be made openly available. If some data is kept
closed then provide the rationale for doing so;

· Specify how the data will be made available;

· Specify what methods or software tools are needed to access the data. Is
documentation about the software needed in order to access the data included?
Is it possible to include the relevant software (e.g. in open source code)?

· Specify where the data and associated metadata, documentation and code are
deposited; · Specify how access will be provided in case there are any
restrictions.

##  2.3 MAKING DATA INTEROPERABLE

· Assess the degree of interoperability of your data. Can it easily be used
and incorporated by other practitioners in your discipline and other
disciplines? Specify what data and metadata vocabularies, standards or
methodologies you will follow to facilitate interoperability.

· Specify whether you will be using standard vocabulary for all data types
present in your data set, to allow inter-disciplinary interoperability. If
not, will you provide mapping to more commonly used ontologies which structure
data and its inter-relationships?

##  2.4 INCREASE DATA RE-USE (THROUGH CLARIFYING LICENSES)

The data collected in HYDRALAB+ will be licensed, so that it can be re-used.
We will not specify a single license, but require that all data becomes open
data ( _http://opendefinition.org/guide/data/_ ) and recommend the use of
licenses that conform to the open definition  5  that is suitable for data. A
list of suitable licenses can be found at
_http://opendefinition.org/licenses/_ .

Each HYDRALAB+ Data Management Plan will incorporate the specification of an
embargo period. While no specific minimum or maximum time scale is prescribed,
two years after the experiment is complete is suggested.

We intend that all data collected or generated will be made available under an
open license. Therefore it will be usable by third parties after the embargo
period, which is intended to allow those who collect and process the data to
have first use of it. We do not intend to restrict the re-use of any of the
data. In practice, some of the original data, such as 3-D PIV data, will
consist of large files that are in a proprietorial format. In most cases,
sharing of this data will come after it is processed into 2-D array time
series of velocities and other quantities. The original data should be kept in
case it needs to be re-analyzed.

Clear documentation of processes showing the sequence of transformations of
the data from its original form to subsequent forms for storage will be
produced by the experimenter; such documentation will be incorporated into the
relevant Data Management Plan.

HYDRALAB+ does not have its own data quality assurance process, but relies on
the quality assurance processes of individual laboratories.

The length of time any specific data will remain re-usable isn’t possible to
determine. This will depend on the data repositories used, the quality of the
meta-data that is provided and, potentially, the file format used to collect
or store the data.

#  3 QUALITY CONTROL

It is important for the successful future sharing of data between the three
domains examined in HYDRALAB+ (field, laboratory, and computer) that the Data
Management Plans are themselves searchable and that queries can be performed
across the broad range of experimental DMPs.

Although HYDRALAB+ does not have its own data quality assurance process, steps
will be taken to ensure the Data Management Plans are quality controlled.

##  3.1 DMP DATABASE

A database of the JRA and TA activities will be maintained along with a record
of the status of each activity’s Data Management Plan. The final form of this
database is yet to be determined but may be represented as a serialised XML
document searchable by XPath queries or a relational database comprising the
CSV or JSON exported values from DMP Online.

Each plan will be uniquely identified by the DMP Online Plan Id available in
each XML export for a given plan _(“ <plan id=’123456’>”) _ and an identifier
unique to HYDRALAB+ identifying the experiment.

Such an identifier already exists for TA experiments (see _Table 3
Transnational experiments granted by HYDRALAB+ first call for proposals_ ) and
is specified in the column labelled “Acronym”.

###  3.2 JRAIDENTIFIER

For JRA experiments the identifier will be arranged as follows  
  
<table>  
<tr>  
<th>

HYDRALAB+

</th>  
<th>

H+

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

PARTNERCODE

</td>  
<td>

e.g.: HRW, DELTARES, CNRS, AALTO, etc.

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

WORKPACKAGE

</td>  
<td>

e.g.: JRA[n], TA[n]

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

3 digit seq #

</td>  
<td>

e.g.: 001, 002, 003 allocating the sequential number assignment will be the
responsibility of the WP leader

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

For example:

H+_HRW_JRA1_002 (second sequential experiment in Joint Research Activity 1 -
RECIPE)

###  3.3 RESPONSIBLE INDIVIDUAL

In addition, for each experiment producing one or more DMPs a responsible
individual from the relevant organisation will be appointed to ensure the DMP
is created and maintained in accordance with these recommendations.

This person should have a broad overview of both the science and the data
management involved in the experiment.

###  3.4 MAINTENANCE

Regular querying of the DMP Online database will allow the database to be kept
as up to date as possible using the **Initial** , **Detailed** and **Final
review** status to determine the state of a given activity’s

DMP.

The database itself will be maintained by HRW as part of its brief as Lead
Beneficiary of Work Package WP10.

#  4 DATA FORMATS AND STANDARDS

It is important to distinguish between data “format” and data “standard”.

Data “format” is a description of the organisation of a given stream of data
(including files).

Data “standard” is an agreed protocol for sharing data – the “format” may or
may not constitute part of the “standard”. It is a fine and sometimes unclear
distinction.

Data standards tend to have tightly controlled specifications (e.g. GML,
WaterML2, both of which are subtypes of the XML standard).

Data formats range from third party proprietary formats (.ZIP, .PDF, XLSX)
through open formats like .CSV and bespoke custom formats developed for
specific purposes (output files from many bespoke numerical models for
example).

There is a universe of formats and standards which may or may not be used – or
required – within the HYDRALAB community and to be prescriptive about a
specific format is likely to impose unnecessary restrictions and cut across
well-established processes and procedures within partner organisations. We
will therefore adopt a non-prescriptive approach to data standards within
HYDRALAB+ unless and until other tasks (e.g. **10.2 Data standards and
licenses** , **10.3 Repository** , **10.4 and 10.5 Data flux** ) make
recommendations accordingly. Regarding data formats, given that the data we
may be dealing with could be proprietary, bespoke, open, closed, binary, ASCII
text, images, video, sound and so on, we consider looking to existing
practices in this area.

The Multipurpose Internet Mail Extension (MIME) provides an extensible
mechanism for specifying data formats and currently has many common data
formats pre-specified (for application specific data like XLSX, to video,
images and so on). The following section introduces MIME and use of this
standard for specifying data formats in HYDRALAB+ is recommended for future
accessibility to data via automatic means.

##  4.1 MIMETYPES

MIME was designed mainly for email systems:

_“the content types defined by MIME standards are also of importance_ …. _for
the World Wide Web. Servers insert the MIME header at the beginning of any Web
transmission. Clients use this content type or media type header to select an
appropriate viewer application for the type of data the header indicates. Some
of these viewers are built into the Web client or browser (for example, almost
all browsers come with GIF and JPEG image viewers as well as the ability to
handle HTML files).”_ 6

Basically, the MIME type is a mechanism for specifying the format of a data
set so that any intelligent application can read and make best use of the data
thereby improving the **I** of **FAIR** (interoperability). A current list of
MIME types is maintained by IANA.  7  A good description of MIME types, what
they are and why they are useful in data management is given by Wikipedia  8
.

The University of Hull (UHULL) data repository also makes use of MIME types.
For example, the url

###  _https://hydra.hull.ac.uk/resources/hull:13268_

provides a dataset with the MIME type

_vnd.openxmlformats-officedocument.spreadsheetml.sheet_

By assigning an appropriate MIME type to a data set (even if it’s a custom
type) the degree of interoperability is increased by providing a standard
description of the data. Furthermore, it increases the possibility of
identifying third party software which may be able to manipulate the data.

The relevant MIME type for HYDRALAB+ datasets will be recorded in DMP Online
in the Data Summary of the DMP at the Final Review stage, section 1 in answer
to the question: “Specify the types and formats of data generated/collected”.

This specification will be the MIME type **recommended** by the experimenter
for the specific dataset.

#  5 SUMMARY OF RECOMMENDATIONS

In summary, the following actions are recommended for the creation and
management of DMPs across the HYDRALAB+ project:

· Remind HYDRALAB+ partners about the requirement to create and manage data
management plans as part of any HYDRALAB+ experiment (JRA or TA). (HRW)

· Learn and use DMP Online to create and manage Data Management Plans. (All
partners producing DMPs)

· Use the defined common identifiers to uniquely distinguish experiments and
data management plans in HYDRALAB+. (All partners producing DMPs)

· Share DMP Online DMPs with leaders of other interested work packages (in all
cases with the relevant person responsible for this deliverable ). (All
Experimenters)

· DMPs to include a recommended MIME type for each discrete dataset where
possible. (All partners producing DMPs)

· Create and maintain a database using DMP Online identifiers to monitor the
status of each DMP for each experiment. (HRW)

#  6 CASE STUDY

This section introduces a case study exemplar illustrating use of a DMP Online
Data Management Plan by a HYDRALAB+ participant to create and maintain a data
management plan adhering to the Horizon 2020 template and EC (2016) Guidelines
on FAIR Data Management.

The case study title and description are given in the sections below.
Following this is a summary of the Data Management Plan for this experiment.

This takes the form of a document exported from DMP Online for the relevant
DMP.

##  6.1 EXPERIMENT TITLE

**JRA 8.2 Use of Joint Probability Analysis and storm sequencing /
abbreviation for wave overtopping.**

This is the JRA experiment that is being led by HRW at HR Wallingford.

Its unique identifier is H+_HRW_JRA1_002 and this used to identify the
relevant Data Management Plan in DMP Online.

##  6.2 DESCRIPTION

There follows a brief description of the nature of the experiment.

###  6.2.1 Introduction

The design of seawalls / breakwaters is often required to achieve very low
target overtopping discharges when these structures protect vulnerable
infrastructure or activities. The balance between economically viable
protection and performance requirements is often difficult to achieve without
good knowledge on low overtopping. The paucity of data in this space and the
higher uncertainty associated with existing methods, increase the challenge.
The occurrence of low number of overtopping waves has the consequence that any
test results are substantially more affected by the inherent variation of
random waves, therefore more uncertain.

Within the multi-institute project RECIPE under the HYDRALAB+ project,
experimental studies for RECIPE Task 8.2 have generated new data on the
response of seawalls, breakwaters and related coastal structures with the aim
of improving future model testing. Tests by LNEC, UPC, UPORTO, and assisted by
Deltares, have explored armour damage progression. Tests by HRW have explored
wave overtopping with contributions of data from UPORTO and LNEC.

The physical model test results described hereafter were intended to explore
these issues and provide example data on the problem. The tests were
successful in obtaining low to very low overtopping discharge test data. For
low / very low overtopping discharges, these test data present considerable
scatter relative to the latest empirical prediction. A number of repetitions
were performed for wave conditions resulting in very low overtopping
discharges, which illustrated the inherent uncertainty associated with low
overtopping.

The general form and procedures of hydraulic model tests of this type have
been presented in previous HYDRALAB guidelines ((HYDRALAB III, 2007), and are
consistent with industry guidelines i.e. the Rock Manual (CIRIA, 2007) and
EurOtop (EurOtop, 2016).

###  6.2.2 Physical model tests

The overtopping tests measured overtopping volumes, wave-by-wave, and mean
discharge for a simple impermeable smooth 1:2 slope and for a simple vertical
wall. The test conditions were carefully designed to cover a wide range of
overtopping, but particularly under low-discharge conditions. The 2D model
tests measured wave overtopping on two different structures: a simple (smooth)
1:2 slope with two different crest levels (1m structure A1 – refer to Figure 1
and 1.2m structure A2 – refer to Figure 2) and a simple vertical wall also
with two crest levels (0.9m structure B1 – refer to Figure 3 and 1.1m
structure B2 – refer to Figure 4). All levels were relative to the flume
floor.

No approach slope or bathymetry was used, so the depth at the structure toe
was the same as at the wave paddle (refer to Figure 5). . Most tests were run
at water levels of 0.7m and 0.75m, and some using a water level of 0.8m, all
above sea bed level. The tests measured wave-by-wave overtopping volumes, and
mean discharges. The collection chutes from the test section to the
measurement tanks were varied between 0.04m to 0.335m width to accommodate a
wide range of discharges with three tank sizes.

_Figure 1: Structure A1 Figure 2: Structure A2_

_Figure 3:: Structure B1 Figure 4: Structure B2_

_Figure 5: Flume layout with 1:2 slope (after calibration) showing wave
paddle, five wave gauges, test section and absorbing beach_

The target wave conditions were Hs ≈ 0.04 - 0.185m, and also allowing for
extreme testing to Hs ≈ 0.24m. The wave periods (Tm) ranged from 1.2s to 3s.
The suggested conditions gave wave steepnesses of s0m ~0.06 (storm sea), 0.035
(ocean waves), and 0.01 (swell). Tests were run for 500 waves or 1000 waves,
although one test used multiple simulations with changed seed to give 10 x
1000 waves. All tests run are listed in Table 1.

Test conditions were calibrated in the flume before construction of the test
section, to minimise corruption of incident waves by reflections. Calibration
was an iterative process. The amplitude of the signal driving the wave
generator was adjusted until the spectral significant wave height measured at
the calibration point was within ±5% of the target significant wave height.
During testing all wave conditions were recorded by wave gauges. Another wave
gauge was installed in the overtopping tank and an event detector on the crest
of the structure. Overtopping discharges were quantified by collecting the
overtopping water by a chute into a calibrated tank and measuring the volume
collected in a known time. Mean overtopping discharges were calculated by
measuring the depth of water in the tank.

Mean overtopping discharges measured during testing were then compared with
predictions given by the empirical formulae. Finally the number of overtopping
waves, N  ow  , and the individual overtopping volumes, V  ow  , were
determined by analysing the wave gauge inside the overtopping tank with the
event detector.

_Table 1 List of tests run at HR Wallingford_  
  
<table>  
<tr>  
<th>

Lab

</th>  
<th>

_Number 20161+_

</th>  
<th>

**No**

</th>  
<th>

**WC**

</th>  
<th>

**Test conditions**

</th>  
<th>

**Spectral shape**

</th>  
<th>

**Structure**

</th>  
<th>

**Chute**

</th>  
<th>

**Tank**

</th>  
<th>

**File Name**

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

**T p  (s) **

</th>  
<th>

**Hm0 (m)**

</th>  
<th>

**A,B**

</th>  
<th>

**1,2**

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

HR

</td>  
<td>

_00101_

</td>  
<td>

500

</td>  
<td>

20

</td>  
<td>

1.76

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR00101-WC20No500_Sp-J3.3_StA1_Ch1_TC

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

HR

</td>  
<td>

_00102_

</td>  
<td>

500

</td>  
<td>

20

</td>  
<td>

1.76

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR00102-WC20No500_Sp-J3.3_St-A1_Ch1_TC

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

HR

</td>  
<td>

_00103_

</td>  
<td>

500

</td>  
<td>

20

</td>  
<td>

1.76

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR00103-WC20No500_Sp-J3.3_St-A1_Ch1_TC

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

HR

</td>  
<td>

_01304_

</td>  
<td>

500

</td>  
<td>

24

</td>  
<td>

3.3

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR01304-WC24No500_Sp-J3.3_St-A1_Ch1_TC

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

HR

</td>  
<td>

_01305_

</td>  
<td>

500

</td>  
<td>

15

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR01305-WC15No500_Sp-J3.3_St-A1_Ch1_TC

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

HR

</td>  
<td>

_01406_

</td>  
<td>

500

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR01406-WC05No500_Sp-J3.3_St-A1_Ch1_TC

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

HR

</td>  
<td>

_01407_

</td>  
<td>

500

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

D

</td>  
<td>

HR01407-WC05No500_Sp-J3.3_St-A1_Ch1_TD

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

HR

</td>  
<td>

_01408_

</td>  
<td>

500

</td>  
<td>

08

</td>  
<td>

1.54

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR01408-WC08No500_Sp-J3.3_St-A1_Ch1_TC

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

HR

</td>  
<td>

_01409_

</td>  
<td>

1000

</td>  
<td>

06

</td>  
<td>

1.32

</td>  
<td>

0.08

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

B

</td>  
<td>

HR01409-WC06No1000_Sp-J3.3_St-A1_Ch1_TB

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

HR

</td>  
<td>

_01410_

</td>  
<td>

1000

</td>  
<td>

06

</td>  
<td>

1.32

</td>  
<td>

0.08

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

C

</td>  
<td>

HR01410-WC06No1000_Sp-J3.3_St-A1_Ch2_TC

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

HR

</td>  
<td>

_01711_

</td>  
<td>

1000

</td>  
<td>

23

</td>  
<td>

2.31

</td>  
<td>

0.07

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

C

</td>  
<td>

HR01711-WC23No1000_Sp-J3.3_St-A1_Ch2_TC

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

HR

</td>  
<td>

_01712_

</td>  
<td>

1000

</td>  
<td>

18

</td>  
<td>

1.54

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

C

</td>  
<td>

HR01712-WC18No1000_Sp-J3.3_St-A1_Ch2_TC

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

HR

</td>  
<td>

_01413_

</td>  
<td>

1000

</td>  
<td>

16

</td>  
<td>

1.32

</td>  
<td>

0.08

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR01413-WC16No1000_Sp-J3.3_St-A1_Ch2_TB

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

HR

</td>  
<td>

_01414_

</td>  
<td>

1000

</td>  
<td>

16

</td>  
<td>

1.32

</td>  
<td>

0.08

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR01414-WC16No1000_Sp-J3.3_St-A1_Ch2_TB

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

HR

</td>  
<td>

_01415_

</td>  
<td>

500

</td>  
<td>

10

</td>  
<td>

1.76

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

3

</td>  
<td>

D

</td>  
<td>

HR01415-WC10No500_Sp-J3.3_St-A1_Ch3_TD

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

HR

</td>  
<td>

_01716_

</td>  
<td>

500

</td>  
<td>

10

</td>  
<td>

1.76

</td>  
<td>

0.14

</td>  
<td>

J12

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

3

</td>  
<td>

D

</td>  
<td>

HR01716-WC10No500_Sp-J12_St-A1_Ch3_TD

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

HR

</td>  
<td>

_01717_

</td>  
<td>

500

</td>  
<td>

10

</td>  
<td>

1.76

</td>  
<td>

0.14

</td>  
<td>

J01

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

3

</td>  
<td>

D

</td>  
<td>

HR01717-WC10No500_Sp-J01_St-A1_Ch3_TD

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

HR

</td>  
<td>

_01818_

</td>  
<td>

500

</td>  
<td>

10

</td>  
<td>

1.76

</td>  
<td>

0.14

</td>  
<td>

J06

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

3

</td>  
<td>

D

</td>  
<td>

HR01818-WC10No500_Sp-J06_St-A1_Ch3_TD

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

HR

</td>  
<td>

_01819_

</td>  
<td>

500

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

3

</td>  
<td>

D

</td>  
<td>

HR01819-WC05No500_Sp-J3.3_St-A1_Ch3_TD

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

HR

</td>  
<td>

_01820_

</td>  
<td>

500

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J12

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

3

</td>  
<td>

C

</td>  
<td>

HR01820-WC05No500_Sp-J12_St-A1_Ch3_TC

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

HR

</td>  
<td>

_01821_

</td>  
<td>

500

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J01

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

3

</td>  
<td>

C

</td>  
<td>

HR01821-WC05No500_Sp-J01_St-A1_Ch3_TC

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

HR

</td>  
<td>

_01822_

</td>  
<td>

500

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J06

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

3

</td>  
<td>

C

</td>  
<td>

HR01822-WC05No500_Sp-J06_St-A1_Ch3_TC

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

HR

</td>  
<td>

_01823_

</td>  
<td>

500

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J06

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

3

</td>  
<td>

C

</td>  
<td>

HR01823-WC05No500_Sp-J06_St-A1_Ch3_TC

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

HR

</td>  
<td>

_01824_

</td>  
<td>

500

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J02

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

3

</td>  
<td>

C

</td>  
<td>

HR01824-WC05No500_Sp-J02_St-A1_Ch3_TC

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

HR

</td>  
<td>

_01825_

</td>  
<td>

500

</td>  
<td>

14

</td>  
<td>

3.30

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

3

</td>  
<td>

C

</td>  
<td>

HR01825-WC14No500_Sp-J3.3_St-A1_Ch3_TC

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

HR

</td>  
<td>

_01826_

</td>  
<td>

1000

</td>  
<td>

13

</td>  
<td>

2.31

</td>  
<td>

0.07

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

C

</td>  
<td>

HR01826-WC13No1000_Sp-J3.3_St-A1_Ch2_TC

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

HR

</td>  
<td>

_01827_

</td>  
<td>

1000

</td>  
<td>

13

</td>  
<td>

2.31

</td>  
<td>

0.07

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

C

</td>  
<td>

HR01827-WC13No1000_Sp-J3.3_St-A1_Ch2_TC

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

Lab

</th>  
<th>

_Number 20161+_

</th>  
<th>

**No**

</th>  
<th>

**WC**

</th>  
<th>

**Test conditions**

</th>  
<th>

**Spectral shape**

</th>  
<th>

**Structure**

</th>  
<th>

**Chute**

</th>  
<th>

**Tank**

</th>  
<th>

**File Name**

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

**T p  (s) **

</th>  
<th>

**Hm0 (m)**

</th>  
<th>

**A,B**

</th>  
<th>

**1,2**

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

HR

</td>  
<td>

_01928_

</td>  
<td>

1000

</td>  
<td>

04

</td>  
<td>

2.31

</td>  
<td>

0.06

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

C

</td>  
<td>

HR01928-WC04No1000_Sp-J3.3_St-A1_Ch2_TC

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

HR

</td>  
<td>

_01929_

</td>  
<td>

500

</td>  
<td>

01

</td>  
<td>

1.32

</td>  
<td>

0.08

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

C

</td>  
<td>

HR01929-WC01No500_Sp-J3.3_St-A1_Ch2_TC

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

HR

</td>  
<td>

_01930_

</td>  
<td>

500

</td>  
<td>

02

</td>  
<td>

1.54

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

D

</td>  
<td>

HR01930-WC02No500_Sp-J3.3_St-A1_Ch1_TD

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

HR

</td>  
<td>

_01931_

</td>  
<td>

1000

</td>  
<td>

03

</td>  
<td>

1.76

</td>  
<td>

0.04

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR01931-WC03No1000_Sp-J3.3_St-A1_Ch2_TB

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

HR

</td>  
<td>

_02532_

</td>  
<td>

500

</td>  
<td>

21

</td>  
<td>

1.76

</td>  
<td>

0.24

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

3

</td>  
<td>

C

</td>  
<td>

HR02532-WC21No500_Sp-J3.3_St-A2_Ch3_TC

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

HR

</td>  
<td>

_02533_

</td>  
<td>

1000

</td>  
<td>

17

</td>  
<td>

1.54

</td>  
<td>

0.19

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR02533-WC17No1000_Sp-J3.3_St-A2_Ch1_TC

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

HR

</td>  
<td>

_02534_

</td>  
<td>

1000

</td>  
<td>

20

</td>  
<td>

1.76

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR02534-WC20No1000_Sp-J3.3_St-A2_Ch1_TC

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

HR

</td>  
<td>

_02535_

</td>  
<td>

1000

</td>  
<td>

24

</td>  
<td>

3.3

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR02535-WC24No1000_Sp-J3.3_St-A2_Ch1_TC

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

HR

</td>  
<td>

_02536_

</td>  
<td>

500

</td>  
<td>

22

</td>  
<td>

2.31

</td>  
<td>

0.20

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR02536-WC22No500_Sp-J3.3_St-A2_Ch1_TC

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

HR

</td>  
<td>

_02537_

</td>  
<td>

1000

</td>  
<td>

15

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR02537-WC15No1000_Sp-J3.3_St-A2_Ch1_TC

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

HR

</td>  
<td>

_02538_

</td>  
<td>

500

</td>  
<td>

07

</td>  
<td>

1.54

</td>  
<td>

0.19

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR02538-WC07No500_Sp-J3.3_St-A2_Ch1_TC

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

HR

</td>  
<td>

_02639_

</td>  
<td>

500

</td>  
<td>

12

</td>  
<td>

2.31

</td>  
<td>

0.15

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

3

</td>  
<td>

C

</td>  
<td>

HR02639-WC12No500_Sp-J3.3_St-A2_Ch3_TC

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

HR

</td>  
<td>

_02640_

</td>  
<td>

500

</td>  
<td>

09

</td>  
<td>

1.76

</td>  
<td>

0.20

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR02640-WC09No500_Sp-J3.3_St-A2_Ch1_TC

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

HR

</td>  
<td>

_02641_

</td>  
<td>

1000

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR02641-WC05No1000_Sp-J3.3_St-A2_Ch1_TC

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

HR

</td>  
<td>

_02642_

</td>  
<td>

1000

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J06

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR02642-WC05No1000_Sp-J06_St-A2_Ch1_TC

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

HR

</td>  
<td>

_02643_

</td>  
<td>

1000

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J12

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR02643-WC05No1000_Sp-J12_St-A2_Ch1_TC

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

HR

</td>  
<td>

_02644_

</td>  
<td>

1000

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J01

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR02644-WC05No1000_Sp-J01_St-A2_Ch1_TC

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

HR

</td>  
<td>

_02645_

</td>  
<td>

1000

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J02

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR02645-WC05No1000_Sp-J02_St-A2_Ch1_TC

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

HR

</td>  
<td>

_02746_

</td>  
<td>

1000

</td>  
<td>

10

</td>  
<td>

1.54

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR02746-WC10No1000_Sp-J3.3_St-A2_Ch1_TC

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

HR

</td>  
<td>

_02747_

</td>  
<td>

1000

</td>  
<td>

10

</td>  
<td>

1.54

</td>  
<td>

0.11

</td>  
<td>

J12

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR02747-WC10No1000_Sp-J12_St-A2_Ch1_TC

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

HR

</td>  
<td>

_02748_

</td>  
<td>

1000

</td>  
<td>

10

</td>  
<td>

1.54

</td>  
<td>

0.11

</td>  
<td>

J06

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR02748-WC10No1000_Sp-J06_St-A2_Ch1_TC

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

HR

</td>  
<td>

_02749_

</td>  
<td>

1000

</td>  
<td>

10

</td>  
<td>

1.54

</td>  
<td>

0.11

</td>  
<td>

J01

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR02749-WC10No1000_Sp-J01_St-A2_Ch1_TC

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

HR

</td>  
<td>

_02750_

</td>  
<td>

1000

</td>  
<td>

10

</td>  
<td>

1.54

</td>  
<td>

0.11

</td>  
<td>

J01

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR02750-WC10No1000_Sp-J01_St-A2_Ch1_TC

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

HR

</td>  
<td>

_02751_

</td>  
<td>

500

</td>  
<td>

14

</td>  
<td>

3.30

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR02751-WC14No500_Sp-J3.3_St-A2_Ch1_TC

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

HR

</td>  
<td>

_02752_

</td>  
<td>

500

</td>  
<td>

12

</td>  
<td>

2.31

</td>  
<td>

0.15

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

3

</td>  
<td>

C

</td>  
<td>

HR02752-WC12No500_Sp-J3.3_St-A2_Ch3_TC

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

HR

</td>  
<td>

_02753_

</td>  
<td>

1000

</td>  
<td>

08

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR02753-WC08No1000_Sp-J3.3_St-A2_Ch2_TB

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

HR

</td>  
<td>

_02754_

</td>  
<td>

1000

</td>  
<td>

18

</td>  
<td>

2.12

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR02754-WC18No1000_Sp-J3.3_St-A2_Ch2_TB

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

HR

</td>  
<td>

_10255_

</td>  
<td>

1000

</td>  
<td>

06

</td>  
<td>

1.32

</td>  
<td>

0.08

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR10255-WC06No1000_Sp-J3.3_St-A2_Ch2_TB

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

HR

</td>  
<td>

_10256_

</td>  
<td>

1000

</td>  
<td>

02

</td>  
<td>

1.54

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR10256-WC02No1000_Sp-J3.3_St-A2_Ch2_TB

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

HR

</td>  
<td>

_10257_

</td>  
<td>

1000

</td>  
<td>

01

</td>  
<td>

1.32

</td>  
<td>

0.08

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR10257-WC01No1000_Sp-J3.3_St-A2_Ch2_TB

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

Lab

</th>  
<th>

_Number 20161+_

</th>  
<th>

**No**

</th>  
<th>

**WC**

</th>  
<th>

**Test conditions**

</th>  
<th>

**Spectral shape**

</th>  
<th>

**Structure**

</th>  
<th>

**Chute**

</th>  
<th>

**Tank**

</th>  
<th>

**File Name**

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

**T p  (s) **

</th>  
<th>

**Hm0 (m)**

</th>  
<th>

**A,B**

</th>  
<th>

**1,2**

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

HR

</td>  
<td>

_10358_

</td>  
<td>

1000

</td>  
<td>

25

</td>  
<td>

2.12

</td>  
<td>

0.08

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR10358-WC25No1000_Sp-J3.3_St-A2_Ch2_TB

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

HR

</td>  
<td>

_10358_

</td>  
<td>

1000

</td>  
<td>

25v

</td>  
<td>

2.12

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR10358-WC25vNo1000_Sp-J3.3_St-A2_Ch2_TB

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

HR

</td>  
<td>

_10359_

</td>  
<td>

1000

</td>  
<td>

18

</td>  
<td>

2.12

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR10359-WC18No1000_Sp-J3.3_St-A2_Ch2_TB

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

HR

</td>  
<td>

_11160_

</td>  
<td>

1000

</td>  
<td>

14

</td>  
<td>

2.12

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR11160-WC14No1000_Sp-J3.3_St-A2_Ch1_TC

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

HR

</td>  
<td>

_11161_

</td>  
<td>

1000

</td>  
<td>

14

</td>  
<td>

2.12

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR11161-WC14_No1000-Se2_Sp-J3.3_St-A2_Ch2_TB

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

HR

</td>  
<td>

_11162_

</td>  
<td>

1000

</td>  
<td>

14

</td>  
<td>

2.12

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR11162-WC14_No1000-Se2_Sp-J3.3_St-A2_Ch2_TB

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

HR

</td>  
<td>

_11163_

</td>  
<td>

1000

</td>  
<td>

14

</td>  
<td>

2.12

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR11163-WC14_No1000-Se2_Sp-J3.3_St-A2_Ch2_TB

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

HR

</td>  
<td>

_11164_

</td>  
<td>

1000

</td>  
<td>

18

</td>  
<td>

2.12

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR11164-WC18_No1000-Se2_Sp-J3.3_St-A2_Ch2_TB

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

HR

</td>  
<td>

_11465_

</td>  
<td>

1000

</td>  
<td>

06

</td>  
<td>

1.32

</td>  
<td>

0.08

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR11465-WC06_No1000-Se2_Sp-J3.3_St-A2_Ch2_TB

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

HR

</td>  
<td>

_11466_

</td>  
<td>

1000

</td>  
<td>

01

</td>  
<td>

1.32

</td>  
<td>

0.08

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR11466-WC01_No1000-Se2_Sp-J3.3_St-A2_Ch2_TB

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

HR

</td>  
<td>

_11467_

</td>  
<td>

1000

</td>  
<td>

25

</td>  
<td>

2.12

</td>  
<td>

0.08

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR11467-WC25_No1000-Se2_Sp-J3.3_St-A2_Ch2_TB

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

HR

</td>  
<td>

_11568_

</td>  
<td>

1000

</td>  
<td>

23

</td>  
<td>

2.31

</td>  
<td>

0.07

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR11568-WC23_No1000-Se1_Sp-J3.3_St-A1_Ch2_TB

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

HR

</td>  
<td>

_11569_

</td>  
<td>

1000

</td>  
<td>

23

</td>  
<td>

2.31

</td>  
<td>

0.07

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR11569-WC23_No1000-Se2_Sp-J3.3_St-A1_Ch2_TB

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

HR

</td>  
<td>

_11570_

</td>  
<td>

1000

</td>  
<td>

13

</td>  
<td>

2.31

</td>  
<td>

0.07

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR11570-WC13_No1000-Se2_Sp-J3.3_St-A1_Ch2_TB

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

HR

</td>  
<td>

_11571_

</td>  
<td>

1000

</td>  
<td>

13

</td>  
<td>

2.31

</td>  
<td>

0.07

</td>  
<td>

J3.4

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR11571-WC13_No1000-Se2_Sp-J3.4_St-A1_Ch2_TB

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

HR

</td>  
<td>

_11572_

</td>  
<td>

1000

</td>  
<td>

03

</td>  
<td>

2.31

</td>  
<td>

0.07

</td>  
<td>

J3.5

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR11572-WC03_No1000-Se1_Sp-J3.5_St-A1_Ch2_TB

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

HR

</td>  
<td>

_11573_

</td>  
<td>

1000

</td>  
<td>

03

</td>  
<td>

2.31

</td>  
<td>

0.07

</td>  
<td>

J3.6

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR11573-WC03_No1000-Se2_Sp-J3.6_St-A1_Ch2_TB

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

HR

</td>  
<td>

_11774_

</td>  
<td>

10000

</td>  
<td>

23

</td>  
<td>

2.31

</td>  
<td>

0.07

</td>  
<td>

J3.3

</td>  
<td>

A

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR11774-WC23_No10000-Se2_Sp-J3.3_St-A1_Ch2_TB

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

HR

</td>  
<td>

_12375_

</td>  
<td>

500

</td>  
<td>

15

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR12375-WC15No500_Sp-J3.3_St-B1_Ch1_TC

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

HR

</td>  
<td>

_12376_

</td>  
<td>

500

</td>  
<td>

20

</td>  
<td>

2.12

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR12376-WC20No500_Sp-J3.3_St-B1_Ch1_TC

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

HR

</td>  
<td>

_12377_

</td>  
<td>

500

</td>  
<td>

24

</td>  
<td>

3.3

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR12377-WC24No500_Sp-J3.3_St-B1_Ch1_TC

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

HR

</td>  
<td>

_12377_

</td>  
<td>

500

</td>  
<td>

18

</td>  
<td>

2.12

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR12377-WC18No500_Sp-J3.3_St-B1_Ch1_TC

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

HR

</td>  
<td>

_12378_

</td>  
<td>

500

</td>  
<td>

20

</td>  
<td>

1.76

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR12378-WC20No500_Sp-J3.3_St-B1_Ch1_TC

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

HR

</td>  
<td>

_12379_

</td>  
<td>

1000

</td>  
<td>

18

</td>  
<td>

2.12

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR12379-WC18No1000_Sp-J3.3_St-B1_Ch1_TC

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

HR

</td>  
<td>

_12380_

</td>  
<td>

1000

</td>  
<td>

18

</td>  
<td>

2.12

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR12380-WC18No1000_Sp-J3.3_St-B1_Ch1_TC

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

HR

</td>  
<td>

_12381_

</td>  
<td>

1000

</td>  
<td>

16

</td>  
<td>

1.32

</td>  
<td>

0.08

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR12381-WC16No1000_Sp-J3.3_St-B1_Ch2_TB

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

HR

</td>  
<td>

_12382_

</td>  
<td>

1000

</td>  
<td>

19

</td>  
<td>

1.76

</td>  
<td>

0.04

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR12382-WC19No1000_Sp-J3.3_St-B1_Ch2_TB

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

HR

</td>  
<td>

_12383_

</td>  
<td>

1000

</td>  
<td>

23

</td>  
<td>

2.31

</td>  
<td>

0.07

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR12383-WC23No1000_Sp-J3.3_St-B1_Ch2_TB

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

HR

</td>  
<td>

_12484_

</td>  
<td>

1000

</td>  
<td>

11

</td>  
<td>

1.76

</td>  
<td>

0.04

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR12484-WC11No1000_Sp-J3.3_St-B1_Ch2_TB

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

HR

</td>  
<td>

_12485_

</td>  
<td>

1000

</td>  
<td>

13

</td>  
<td>

2.31

</td>  
<td>

0.07

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR12485-WC13No1000_Sp-J3.3_St-B1_Ch2_TB

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

Lab

</th>  
<th>

_Number 20161+_

</th>  
<th>

**No**

</th>  
<th>

**WC**

</th>  
<th>

**Test conditions**

</th>  
<th>

**Spectral shape**

</th>  
<th>

**Structure**

</th>  
<th>

**Chute**

</th>  
<th>

**Tank**

</th>  
<th>

**File Name**

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

**T p  (s) **

</th>  
<th>

**Hm0 (m)**

</th>  
<th>

**A,B**

</th>  
<th>

**1,2**

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

HR

</td>  
<td>

_12486_

</td>  
<td>

1000

</td>  
<td>

06

</td>  
<td>

1.32

</td>  
<td>

0.08

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

B

</td>  
<td>

HR12486-WC06No1000_Sp-J3.3_St-B1_Ch1_TB

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

HR

</td>  
<td>

_12487_

</td>  
<td>

1000

</td>  
<td>

06

</td>  
<td>

1.32

</td>  
<td>

0.08

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

B

</td>  
<td>

HR12487-WC06No1000_Sp-J3.3_St-B1_Ch1_TB

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

HR

</td>  
<td>

_12488_

</td>  
<td>

1000

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

3

</td>  
<td>

C

</td>  
<td>

HR12488-WC05No1000_Sp-J3.3_St-B1_Ch3_TC

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

HR

</td>  
<td>

_12488_

</td>  
<td>

500

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J01

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

3

</td>  
<td>

C

</td>  
<td>

HR12488-WC05No500_Sp-J01_St-B1_Ch3_TC

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

HR

</td>  
<td>

_12590_

</td>  
<td>

500

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J12

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

3

</td>  
<td>

C

</td>  
<td>

HR12590-WC05No500_Sp-J12_St-B1_Ch3_TC

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

HR

</td>  
<td>

_12591_

</td>  
<td>

500

</td>  
<td>

10

</td>  
<td>

1.54

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

3

</td>  
<td>

C

</td>  
<td>

HR12591-WC10No500_Sp-J3.3_St-B1_Ch3_TC

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

HR

</td>  
<td>

_12592_

</td>  
<td>

500

</td>  
<td>

10

</td>  
<td>

1.54

</td>  
<td>

0.11

</td>  
<td>

J01

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

3

</td>  
<td>

C

</td>  
<td>

HR12592-WC10No500_Sp-J01_St-B1_Ch3_TC

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

HR

</td>  
<td>

_12593_

</td>  
<td>

500

</td>  
<td>

10

</td>  
<td>

1.54

</td>  
<td>

0.11

</td>  
<td>

J12

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

3

</td>  
<td>

C

</td>  
<td>

HR12593-WC10No500_Sp-J12_St-B1_Ch3_TC

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

HR

</td>  
<td>

_12594_

</td>  
<td>

500

</td>  
<td>

14

</td>  
<td>

3.3

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

3

</td>  
<td>

C

</td>  
<td>

HR12594-WC14No500_Sp-J3.3_St-B1_Ch3_TC

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

HR

</td>  
<td>

_12595_

</td>  
<td>

500

</td>  
<td>

08

</td>  
<td>

1.54

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

1

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR12595-WC08No500_Sp-J3.3_St-B1_Ch1_TC

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

HR

</td>  
<td>

_12996_

</td>  
<td>

1000

</td>  
<td>

15

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR12996-WC15No1000_Sp-J3.3_St-B2_Ch2_TB

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

HR

</td>  
<td>

_12997_

</td>  
<td>

1000

</td>  
<td>

18

</td>  
<td>

2.12

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR12997-WC18No1000_Sp-J3.3_St-B2_Ch2_TB

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

HR

</td>  
<td>

_12998_

</td>  
<td>

1000

</td>  
<td>

18

</td>  
<td>

2.12

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR12998-WC18No1000_Sp-J3.3_St-B2_Ch2_TB

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

HR

</td>  
<td>

_12999_

</td>  
<td>

1000

</td>  
<td>

20

</td>  
<td>

1.76

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR12998-WC20No1000_Sp-J3.3_St-B2_Ch2_TB

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

HR

</td>  
<td>

_12900_

</td>  
<td>

1000

</td>  
<td>

24

</td>  
<td>

3.30

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR12999-WC24No1000_Sp-J3.3_St-B2_Ch2_TB

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

HR

</td>  
<td>

_12901_

</td>  
<td>

1000

</td>  
<td>

17

</td>  
<td>

1.54

</td>  
<td>

0.19

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR12901-WC17No1000_Sp-J3.3_St-B2_Ch2_TB

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

HR

</td>  
<td>

_12902_

</td>  
<td>

1000

</td>  
<td>

22

</td>  
<td>

2.31

</td>  
<td>

0.20

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR12902-WC22No1000_Sp-J3.3_St-B2_Ch1_TC

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

HR

</td>  
<td>

_12903_

</td>  
<td>

500

</td>  
<td>

21

</td>  
<td>

1.76

</td>  
<td>

0.24

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR12903-WC21No500_Sp-J3.3_St-B2_Ch1_TC

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

HR

</td>  
<td>

_13004_

</td>  
<td>

500

</td>  
<td>

12

</td>  
<td>

2.31

</td>  
<td>

0.15

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR13004-WC12No500_Sp-J3.3_St-B2_Ch1_TC

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

HR

</td>  
<td>

_13005_

</td>  
<td>

1000

</td>  
<td>

09

</td>  
<td>

1.76

</td>  
<td>

0.2

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR13005-WC09No1000_Sp-J3.3_St-B2_Ch1_TC

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

HR

</td>  
<td>

_13006_

</td>  
<td>

1000

</td>  
<td>

12

</td>  
<td>

2.31

</td>  
<td>

0.15

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

C

</td>  
<td>

HR13006-WC12No1000_Sp-J3.3_St-B2_Ch1_TC

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

HR

</td>  
<td>

_13007_

</td>  
<td>

1000

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR13007-WC05No1000_Sp-J3.3_St-B2_Ch2_TB

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

HR

</td>  
<td>

_13008_

</td>  
<td>

1000

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J01

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR13008-WC05No1000_Sp-J01_St-B2_Ch2_TB

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

HR

</td>  
<td>

_13009_

</td>  
<td>

1000

</td>  
<td>

05

</td>  
<td>

1.32

</td>  
<td>

0.14

</td>  
<td>

J12

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR13009-WC05No1000_Sp-J12_St-B2_Ch2_TB

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

HR

</td>  
<td>

_13110_

</td>  
<td>

1000

</td>  
<td>

08

</td>  
<td>

1.54

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR13110-WC08No1000_Sp-J3.3_St-B2_Ch2_TB

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

HR

</td>  
<td>

_13211_

</td>  
<td>

1000

</td>  
<td>

10

</td>  
<td>

1.54

</td>  
<td>

0.11

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR13211-WC10No1000_Sp-J3.3_St-B2_Ch2_TB

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

HR

</td>  
<td>

_13312_

</td>  
<td>

1000

</td>  
<td>

10

</td>  
<td>

1.54

</td>  
<td>

0.11

</td>  
<td>

J01

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR13312-WC10No1000_Sp-J01_St-B2_Ch2_TB

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

HR

</td>  
<td>

_20113_

</td>  
<td>

1000

</td>  
<td>

10

</td>  
<td>

1.54

</td>  
<td>

0.11

</td>  
<td>

J12

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR20113-WC10No1000_Sp-J12_St-B2_Ch2_TB

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

HR

</td>  
<td>

_20114_

</td>  
<td>

1000

</td>  
<td>

14

</td>  
<td>

3.3

</td>  
<td>

0.14

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

2

</td>  
<td>

B

</td>  
<td>

HR20114-WC14No1000_Sp-J3.3_St-B2_Ch2_TB

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

HR

</td>  
<td>

_20115_

</td>  
<td>

1000

</td>  
<td>

07

</td>  
<td>

1.54

</td>  
<td>

0.185

</td>  
<td>

J3.3

</td>  
<td>

B

</td>  
<td>

2

</td>  
<td>

1

</td>  
<td>

B

</td>  
<td>

HR20115-WC07No1000_Sp-J3.3_St-B2_Ch1_TB

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

###  6.2.3 Test data output

The discharged water is collected by a chute leading to the collection tank.
The event detector installed on the crest of the structure will identify that
an overtopping volume will be collected in the tank at a given point in time.
The mean overtopping discharge can be calculated by measuring the change of
depth of water in the tank over the duration of the test. Measuring the
elevation of the water level in the tank after each event has been detected
will allow the calculation of individual overtopping volume. The output of the
wave gauge inside the overtopping tank and the event detector on the crest of
the structure are a time series of the levels measured as shown in Figure 6\.

##  6.3 DATA MANAGEMENT PLAN

The case study created a data management plan online using the identifier
H+_HRW_JRA1_002 . The location of the data management plan on the DMP Online
server is

_https://dmponline.dcc.ac.uk/projects/jra-8-2-use-of-joint-probability-
analysis-and-stormsequencing-abbreviation-for-wave-overtopping_

(if required please request read access to this document from HR Wallingford).

#  A. THE EXPORTED XML VERSION OF THE DATA MANAGEMENT PLAN IS INCLUDED IN
APPENDIX A

Data Management Plan Export XML.

This format allows queries (for example, in the form of XPath) to be performed
on the data.

/plan/details/detail[@title="Project Name"]

##  Will return the value “ _JRA 8.2 Use of Joint Probability Analysis and
storm sequencing / abbreviation for wave overtopping - DMP title”_

Building a database from the XML exports allows querying and aggregating
across all data management plans for all HYDRALAB+ experiments – for example,
to identify the degree of reliance on video format, or the occurrence of GML
standard data sets and so on.

#  7 EXPERIMENTS PRODUCING DATA MANAGEMENT PLANS

This section enumerates all the experiments which currently form part of
HYDRLAB+ and which are expected to produce and maintain a data management
plan.

Each of these experiments, both JRA (Joint Research Activity) and TA
(Transnational Activity) will be expected to create and maintain a Data
Management Plan using DMP Online for the duration of the HYDRALAB+ project.

The TA experiments are already assigned an identifier. We will retrospectively
assign identifiers using the schema above to the JRA experiments.

_Table 2 JRA experiments in HYDRALAB+_  
  
<table>  
<tr>  
<th>

**Experiment**

</th>  
<th>

**Type**

</th>  
<th>

**Location**

</th>  
<th>

**Task**

</th>  
<th>

**Year**

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

**Overtopping and Joint Probability Analysis for theoretical storms, mean sea
level, storm surge conditions.**

</td>  
<td>

Small wave flume, with two armour layer of concrete cubes

</td>  
<td>

UPC

</td>  
<td>

8.2

</td>  
<td>

1 & 2

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

**Overtopping and damage experiments. Use of joint probability analysis and
design point probabilistic method.**

</td>  
<td>

wave flume 50 m x1.6 m, 1:30 Froude model,1:2 rock slope, two rock layers

</td>  
<td>

LNEC

</td>  
<td>

8.2

</td>  
<td>

1 & 2 tbc

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

**Use of Joint Probability Analysis and storm sequencing / abbreviation for
wave overtopping.**

</td>  
<td>

small wave flume with vertical wall and smooth 1:2 slope, without armour

</td>  
<td>

HRW

</td>  
<td>

8.2

</td>  
<td>

1 & 2 tbc

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

**Damage experiments in a**

</td>  
<td>

wide wave flume 28 m x 12

</td>  
<td>

UPORTO

</td>  
<td>

8.2

</td>  
<td>

?

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

**wide (3D) configuration.**

</td>  
<td>

m, 1:2 rock slope

</td>  
<td>

</td>  
<td>

</td>  
<td>

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

**PIV measurements**

</td>  
<td>

Toulouse-flume channel

</td>  
<td>

CNRS-T

</td>  
<td>

8.2 & 9.1

</td>  
<td>

1 & 2

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

**Lightweight sediments**

</td>  
<td>

Flume channel

</td>  
<td>

NTNU

</td>  
<td>

8.3 & 8.2

</td>  
<td>

1 & 2 tbc

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

**Cohesive sediment experiments to study cliff erosion**

</td>  
<td>

Small wave flume

</td>  
<td>

CNRS-T

</td>  
<td>

8.3

</td>  
<td>

2

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

**Behaviour of light weight material when studying the morphological
evolution. The use of different density fluids will be considered and tested**

**if feasible**

</td>  
<td>

Small wave flume

</td>  
<td>

UPC

</td>  
<td>

8.3

</td>  
<td>

2

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

**Distorted scale beach model**

</td>  
<td>

wave flume 50 m x 1.6 m, 1:30 Froude model, 1:2 structure slope

</td>  
<td>

LNEC

</td>  
<td>

8.3

</td>  
<td>

2 tbc

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

**Mesocosm**

</td>  
<td>

Bucket

</td>  
<td>

LBORO

</td>  
<td>

8.4

</td>  
<td>

2 tbc

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

**Stressed Organisms**

</td>  
<td>

Flume Channel

</td>  
<td>

LBORO/H ULL

</td>  
<td>

8.4

</td>  
<td>

2 & 3

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