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SYNOP

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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Message format, Overview & Surface and SYNOP datasets

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Research this topic

Explore the main themes, entities and connections around SYNOP. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Message format

11 related topics

Overview

12 related topics

Surface and SYNOP datasets

1 related topics

Topics to explore

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

Browse the full topic structure. 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.

Map overview Semantic statistics

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

SYNOP

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

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

See the strongest relationship patterns around the current topic before diving into the raw triples.

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 Word statistics

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

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

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
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

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.