JCOMM Technical Reportshttps://repository.oceanbestpractices.org/handle/11329/2572024-03-29T02:13:12Z2024-03-29T02:13:12ZSIGRID-3 : a vector archive format for sea ice georeferenced information and data. Version 3.0.https://repository.oceanbestpractices.org/handle/11329/97.22021-08-03T12:20:10Z2014-01-01T00:00:00ZSIGRID-3 : a vector archive format for sea ice georeferenced information and data. Version 3.0.
This document describes Version 3.0 of SIGRID-3 (Sea Ice GeoReferenced Information and Data), an evolution of the SIGRID series of standards for coding, exchange and archiving of digital ice charts.
Version 3.0 retains the essential structure of its predecessor and is backwards compatible with earlier
versions of SIGRID-3. The important extension of Version 3 is to incorporate the features, attributes
and encoding of the Ice Objects Catalogue for Electronic Navigation Charts (ENCs). The purpose of
this extension is to facilitate the automatic translation of digital ice charts into S-57 and S-10x ENC
formats.
2014-01-01T00:00:00ZElectronic Chart Systems Ice Objects Catalogue Version 5.2, 2014 editionFalkingham, Johnhttps://repository.oceanbestpractices.org/handle/11329/4032021-08-23T20:19:44Z2014-01-01T00:00:00ZElectronic Chart Systems Ice Objects Catalogue Version 5.2, 2014 edition
Falkingham, John
Electronic Navigation Charts (ENC) and Electronic Chart Display and Information Systems (ECDIS) are becoming widely available on ships navigating in icy waters and it is necessary to provide ice data in a form that can be used in these systems. The International Hydrographic Organization (IHO) established an on-line “registry” of ENC chart features. This registry contains several thematic “registers”, one of which is for ice objects. The information in the register derives directly from the ENC Ice Objects Catalogue. The Catlogue describes the ice objects and attributes equivalent to codes of SIGRID-3 transport format for the ice charts and defines what ice information can be used in IHO S-57 and S-411 formats
2014-01-01T00:00:00ZRecommended algorithms for the computation of marine meteorological variableshttps://repository.oceanbestpractices.org/handle/11329/4022021-08-23T20:16:19Z2015-01-01T00:00:00ZRecommended algorithms for the computation of marine meteorological variables
A range of variables observed under the Voluntary Observing Ship (VOS) scheme, and circulated over the Global Telecommunication System (GTS) in real-time (RT), or exchanged internationally in delayed mode (DM), may be computed shipboard or after receipt on shore. A general description of the different VOS variables and measurement methods can be found in the Guide to Instruments and Methods of Observations (WMO 2010; hereafter “WMO No-8”).
This publication presents a summarized version of the WMO No-8 information, focusing on the instruments used by the VOS, but breaks new ground in making specific recommendations (including providing software modules and test validation cases) on the algorithms to be used to compute “derived” variables.
2015-01-01T00:00:00ZAn Oceanographers’ and Marine Meteorologists’ Cookbook for Submitting Data and Metadata in Real-time and Delayed Mode.https://repository.oceanbestpractices.org/handle/11329/4012021-08-23T20:10:01Z2015-01-01T00:00:00ZAn Oceanographers’ and Marine Meteorologists’ Cookbook for Submitting Data and Metadata in Real-time and Delayed Mode.
There are many marine meteorological and oceanographic (met-ocean) observations which are not currently contributing to WMO and IOC Applications. Several reasons may explain the situation, including for example reluctance to make the data available due to data policies conflicting with the WMO and IOC ones, requirement for publishing scientific results based on the data before allowing data distribution, or lack of confidence in the data quality. However, in some cases, the data are simply not distributed because of the perceived complexity or lack of understanding of the platform operators and programme managers concerning the data systems, mechanisms, protocols and formats required in the WMO and IOC frameworks to achieve such exchange of the observations.
The JCOMM Data Management Coordination Group (DMCG) identified a need to produce an Oceanographers’ and Marine Meteorologists’ Cookbook for Submitting Data and Metadata in Real-time and Delayed Mode, the “Cookbook”. Its purpose is to provide the potential data providers with a complete and simple description of what’s required to practically achieve the real-time and delayed mode exchange of met-ocean observations, together with the required observing platform and instrument metadata, through the appropriate data systems promoted by JCOMM, such as the WMO Information System (WIS) and its Global Telecommunication System (GTS), or the various Global Data Acquisition or Assembly Centres (GDACs) operated for specific ocean observing networks. The focus of the “Cookbook” is on in situ, directly observed measurements, rather than on remote sensing data (e.g. from satellites). The “Cookbook” documents the widely varying methods of submitting data and metadata in-real time and delayed-mode from all types of met-ocean observing platforms that contribute to JCOMM. Other types of data such as those of Automated Underwater Vehicles (AUVs) or animal tags are not yet addressed in this cookbook.
The users of the “Cookbook” are met-ocean observing platform operators. For example, the Data Buoy Cooperation (DBCP) Panel has a diverse community; platform operators, program managers, data users, model developers, platform manufactures, telecommunication service providers, to name a few who facilitate to operate variety of platforms and provide data to the Global Telecommunication System for broader public use.
The “Cookbook” was prepared by the DMCG with contributions from various actors and experts from the JCOMM Data Management (DMPA) and Observations Programme Areas (OPA).
This is a living document and will be updated as required. The intent is to have frequent refreshes and additions to the document as users provide feedback and additional input. Some of the sections of this document are under construction and will be completed in due course.
2015-01-01T00:00:00ZExtreme value analysis: wave dataCaires, Sofiahttps://repository.oceanbestpractices.org/handle/11329/3672021-08-23T20:07:32Z2011-01-01T00:00:00ZExtreme value analysis: wave data
Caires, Sofia
Estimates of the m-year return value of significant wave height ─ the value which is exceeded on
average once every m years ─
are needed for the safety control and design of ship, offshore, and
coastal structures, and for the mapping of flood risk areas. The WMO Guide to Wave Analysis and
Forecasting aims at providing guidance on how to obtain those estimates. In the design of ships
and offshore platforms 1/20-yr to 1/100-yr return values are often used. In the control of the safety
of the Netherlands sea defenses return values of up to 1/10,000-yr are used. In the mapping of
food risk area in the United Kingdom 1/1,000-yr return values are used. The longer time series of
significant wave height available come from hindcasts and usually cover no more than 50 years,
meaning that one generally needs to extrapolate well beyond the range of the available data and
thus resort to extreme value analysis to obtain the required return value estimates.
In this report we begin by describing and discussing approaches that can be used to estimate
such return values in Chapter 2. Approaches based on extreme value theory as well as
ad hoc
methods are considered. We then present in Chapter 3 some worked examples using two time
series of significant wave height measurements, one in deep and the other in shallow waters. In
Chapter 4 we provide an inventory of software packages available to carry out extreme value
analyses. We finish in Chapter 5 with some guidelines / recommendations.
2011-01-01T00:00:00ZManual on Sea-level Measurements and Interpretation, Volume V: Radar Gauges. [includes Supplement Practical Experiences]https://repository.oceanbestpractices.org/handle/11329/3062021-11-01T21:02:57Z2016-01-01T00:00:00ZManual on Sea-level Measurements and Interpretation, Volume V: Radar Gauges. [includes Supplement Practical Experiences]
Woodworth, Philip; et al
Volume 5 which
is devoted specifically to ‘Radar Tide Gauges’. Radar range
finders have been used in industry (where they measure
the levels of liquids in tanks) and hydrology (for measuring
river, lake and reservoir levels) for many years and, in the
decade since Volume 4, have been applied to measuring
sea level at many locations. They have already replaced
the previous tide gauge technologies in many countries.
Their low cost (in most cases) and the fact that they are
relatively easy to install and maintain mean that they
have been the technology of choice whenever new sites
have been instrumented or older ones refurbished. They
can be interfaced easily to data loggers and telemetry
platforms, such that their data can be displayed almost
instantly at centres around in the world. However, many
questions remain as to their suitability for sea level
monitoring within national and international networks
such as GLOSS. At the 13th
meeting of the GLOSS Group
of Experts in Liverpool in November 2013, a new edition
of the Manual was proposed that would focus on this
particular technology and problems with its use...
2016-01-01T00:00:00ZJCOMM Data Management Plan.JCOMM Data Management Coordination Grouphttps://repository.oceanbestpractices.org/handle/11329/1072021-08-23T20:01:53Z2015-01-01T00:00:00ZJCOMM Data Management Plan.
JCOMM Data Management Coordination Group
JCOMM was established by the World Meteorological Organization (WMO) and UNESCO's Intergovernmental Oceanographic Commission (IOC) in 1999 to be their major advisory body on all technical aspects of operational marine meteorology and oceanography. JCOMM deals in a variety of data within the broad domains of oceanography and marine meteorology. This Data Management Plan provides the broad outlines and recommendations by which the DMPA will help attain the vision of JCOMM.
Data management plan
2015-01-01T00:00:00ZTechniques and Benefits of Satellite Data and Wave Models.Lefevre, J-M.Bidlot, J-R.Abdalla, S.https://repository.oceanbestpractices.org/handle/11329/1042021-08-23T19:59:55Z2006-01-01T00:00:00ZTechniques and Benefits of Satellite Data and Wave Models.
Lefevre, J-M.; Bidlot, J-R.; Abdalla, S.
This report documents techniques and benefits of satellite data in wind and wave models. It provides an overview of available satellite wind and wave data and their possible usage based on the questionnaire prepared by the Expert Team on Wind Waves and Storm Surges (ETWS) to collect information on Members' use of wind and wave satellite data, in particular, regarding type of sensor used, satellite name, real time use, product name, data format, provider, areas of concern, purpose of use, quality control and status of the data use. A brief description of various satellite instruments that provide ocean wind and wave data is presented in Section 2. These satellite instruments produce a precious and extensive source of data, generally with global coverage. This has a significant importance for atmospheric and wave models, as they can combine these types of data with other data sources, using assimilation techniques to produce the best estimate of the atmosphere and the oceans states. Such data can also be used for climate and various model verification studies. Section 3 summarizes all purposes of use satellite data, and Section 4 lists several concluding remarks.
Satellite wave model
2006-01-01T00:00:00ZVerification of operational global and regional wave forecasting systems against measurements from moored buoys.Bidlot, J-R.Holt, M.W.https://repository.oceanbestpractices.org/handle/11329/1012021-08-23T19:57:23Z2006-01-01T00:00:00ZVerification of operational global and regional wave forecasting systems against measurements from moored buoys.
Bidlot, J-R.; Holt, M.W.
The purpose of this JCOMM Technical Report is to document the global wave model verification activity, giving details of the working mechanism and file formats so that modeling centres not yet engaged may judge whether or not they should participate.
wave forecasting; moored buoys
2006-01-01T00:00:00ZIce Chart Colour Code Standard, Version 1.0, 2014.https://repository.oceanbestpractices.org/handle/11329/992021-08-23T19:54:24Z2014-01-01T00:00:00ZIce Chart Colour Code Standard, Version 1.0, 2014.
This document describes two separate colour codes for use on ice charts: the first one based on total concentration (CT) intended for use when the stage of development is relatively uniform but concentration is highly variable (e.g. arctic summer navigation) and the second one based on stage of development (SoD) intended for use when the concentration is relatively uniform (high) but the stage of development is variable (e.g. arctic winter navigation). Document is an integral part and extension of the WMO Sea Ice Nomenclature, Supplement No. 4 (WMO-No. 259) currently in force.
ice charts
2014-01-01T00:00:00Z