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SYNOP: Message format, Overview & Surface and SYNOP datasets

SYNOP (surface synoptic observations) is a numerical code (called FM-12 by WMO) used for reporting weather observations made by staffed and automated weather stations. SYNOP reports are typically sent every six hours by Deutscher Wetterdienst on shortwave and low frequency using RTTY. A report consists of groups of numbers (and slashes where data is not…

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SYNOP topic overview

The analysis highlights Message format, Overview and Surface and SYNOP datasets as prominent areas in the source structure around SYNOP.

Related topics
24
Source areas
3
Connected nodes
27
Extracted relationships
57
Concept neighborhoods
9
Bridge connections
27

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 12 topics
Message format · 11 topics
Surface and SYNOP datasets · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Message format

Surface and SYNOP datasets

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How SYNOP connects Entity context

The extracted context around SYNOP shows recurring relationship patterns in the source. For example, SYNOP → Cape Canaveral, Celsius, CL, CMandCHindicate, Code, Codes, Codesnindicates, Digitspppindicate, DigittRindicates, Following, For, GGfor, If, Ifsnis, IIfor, IIiii, Leading, Like, Messages, Märket Another extracted example is SYNOP → Active/XParse, AMDAR, BUOY, Frequenzen, METAR, TAF, WetterdiensteA SYNOP, XML. Use these groups to spot repeated connection types before inspecting the individual relationships.

SYNOP

Top relations

related to Message format · 35
SYNOP → Cape Canaveral, Celsius, CL, CMandCHindicate, Code, Codes, Codesnindicates, Digitspppindicate, DigittRindicates, Following, For, GGfor, If, Ifsnis, IIfor, IIiii, Leading, Like, Messages, Märket
related to External links · 8
SYNOP → Active/XParse, AMDAR, BUOY, Frequenzen, METAR, TAF, WetterdiensteA SYNOP, XML
related to Surface and SYNOP datasets · 8
SYNOP → Archive, BUFR, Iowa State University, National Weather Service, OGIMET, Surface, SYNOP Archived, Wayback MachineMeteomanz

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data code weather codes pressure temperature visibility used station stations surface km staffed example wind number precipitation tenths observations hours

SYNOP relationships Subject–Predicate–Object triples

TTTA extracted 57 structured relationships around SYNOP. Examples in this analysis include seaTTY → instance of → It can be decoded by open-source software and SYNOP → related to External links → Frequenzen. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
seaTTYinstance ofIt can be decoded by open-source software0.80text
metaf2xml or Fldigi.SYNOP information is collected by more than 7600 staffedinstance ofIt can be decoded by open-source software0.80text
unstaffed meteorological stationsinstance ofIt can be decoded by open-source software0.80text
more than 2500 mobile stations around the worldinstance ofIt can be decoded by open-source software0.80text
is used for weather forecastinginstance ofIt can be decoded by open-source software0.80text
climatic statisticsinstance ofIt can be decoded by open-source software0.80text
SYNOPrelated to External linksFrequenzen0.60section
SYNOPrelated to External linksWetterdiensteA SYNOP0.60section
SYNOPrelated to External linksActive/XParse0.60section
SYNOPrelated to External linksMETAR0.60section
SYNOPrelated to External linksTAF0.60section
SYNOPrelated to External linksBUOY0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around SYNOP bring nearby vocabulary together. In this analysis, examples include Stations, Data and Weather. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • code
    • Used
    • Height
    • Observations
    • Included
    • Indicates
    • Number
    • Staffed
    • Codes
    • Precipitation
    • Surface
    • Data
    • Km
  • sea surface temperature
    • Staffed
    • Used
    • Format
    • Included
    • Data
    • Indicate
    • Means
    • Code
    • Cloud
    • Example
    • Number
    • Precipitation
  • surface and synop datasets
    • Staffed
    • Used
    • Format
    • Included
    • Data
    • Indicate
    • Means
    • Code
    • Cloud
    • Example
    • Number
    • Precipitation
  • automated weather stations
    • World
    • Weather
    • Automatic
    • Surface
    • Synop
    • Used
    • Clouds
    • Included
    • Cloud
    • Group
    • Speed
    • Wind
  • message format
    • Surface
    • Automatic
    • Clouds
    • Height
    • Included
    • Indicate
    • Means
    • Cloud
    • Number
    • Staffed
    • Precipitation
    • Station
  • weather
    • World
    • Included
    • Group
    • Past
    • Precipitation
    • Observation
    • Indicate
    • Cloud
    • Example
    • Number
    • Km
  • weather forecasting
    • World
    • Included
    • Group
    • Past
    • Precipitation
    • Observation
    • Indicate
    • Cloud
    • Example
    • Number
    • Km
  • SYNOP
    • Stations
    • Data
    • Weather
    • World
    • Staffed
    • Used
    • Format
    • Example
    • Hours
    • Number

Connections between topic areas Semantic bridges

For SYNOP, one of the stronger structural bridges in this analysis connects SYNOP with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
SYNOP — Overview · splits 15 ⟂ 13
SYNOP — Message format · splits 16 ⟂ 12

Map overview Semantic statistics

SYNOP

Nodes28
Edges27
Triples57
Avg. degree1.93
Density0.071429
Components1

Source & methodology

TTTA analyzes the structure around SYNOP to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Message format, Overview & Surface and SYNOP datasets, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — SYNOP · EN edition · Analysis: TopicsToTalkAbout

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