How to translate METAR and TAF aviation weather reports correctly: separate what an aerodrome actually observed from what a forecast predicts, keep every code group attached to its correct field, preserve UTC dates and weather qualifiers, and never replace a measured condition with a reassuring summary. Readers searching for METAR translation, TAF decoding, aviation weather terminology, airport weather report translation, SPECI interpretation or multilingual flight-weather communication need the same basic discipline: a clear explanation that remains traceable to the original report.
A METAR is a routine aerodrome observation. A SPECI is a special aerodrome observation; a TAF is a forecast for an airport area and specified period. Those three information products share abbreviations but they do not make the same kind of claim. If you rewrite a forecast as an observation, a temporary condition as a continuous one, or a visibility threshold as an exact measurement, you have changed the message even when the sentence sounds fluent. This guide teaches translation and critical reading of published aviation-weather records; it is not operational flight planning advice.
The practical method is to retain the original coded report alongside a segmented target-language explanation, identify its station, timestamp, product type and version, translate only fields that have a supported meaning, and flag anything you cannot decode. The NOAA Aviation Weather Center product guide and FAA aeronautical weather-report key provide primary reference patterns. National reporting variations and operator procedures still matter. A learning explanation must not claim to replace the authoritative live aviation product.
The answer in one minute
Keep the raw METAR, SPECI or TAF unchanged; label whether the message is an observation, special observation or forecast; decode one group at a time; state whether every value is exact, bounded, variable, estimated or forecast; maintain the stated UTC and validity window; review change groups such as FM, BECMG and TEMPO independently; compare the finished translation to the source group by group. A correct translation should enable another reader to reconstruct the same reported or forecast conditions without claiming more certainty.
For example, `9999` in an applicable international METAR convention indicates visibility of at least 10 km, not a measured distance of exactly 9,999 metres. `BKN015` identifies broken cloud coverage at a reported height of 1,500 feet above aerodrome level, not a cloud ceiling of fifteen metres. A TAF `TEMPO` group describes qualifying temporary conditions during a specified interval, not a statement that those conditions persist throughout it. These distinctions are not pedantry: they define what the data actually says.
The visible problem: fluent weather language can erase the forecast
Imagine a bilingual airport information team receives a coded report with a gust, intermittent rain, a prevailing visibility value, a change period and a forecast probability. A hurried writer converts it into a friendly paragraph: ‘The airport is clear today, winds are light, and rain will arrive this afternoon.’ Almost every phrase could be attractive and almost every phrase could be unsupported. ‘Clear’ might ignore a broken cloud layer. ‘Today’ might hide a period that crosses UTC midnight. ‘Will arrive’ might turn a probability or temporary interval into certainty. ‘Light’ might omit a gust that belongs to the source.
Aviation coding is deliberately compact. Codes carry timing, range, units and status in a tiny space. The translator has to unfold that compression without altering the underlying claim. Do not merely search each abbreviation and join the definitions. The order and product context determine what a token means. A slash separating a TAF valid-period start and end does not do the same job as a slash separating a METAR temperature and dew point. A code group can also be jurisdiction-specific; the safest response to an unresolved national remark is to preserve it and explicitly mark it for specialist verification.
The reader may be a student, a journalist, a multilingual public-information editor, a translator or a software-localisation reviewer. Some want to understand an archived record; others want to explain a dataset. The translation aim is educational source fidelity, not the creation of a new forecast, operational clearance or a judgement about whether flying is safe. Those decisions belong to trained professionals using current official information and applicable procedures.
First principles: the meaning carried by each aviation-weather field
1. Product identity comes before vocabulary
METAR, SPECI and TAF are not interchangeable labels. The first two describe observations in different reporting circumstances; a TAF describes expected future conditions. Before translating a symbol such as `RA`, identify whether it belongs to an observation or forecast.
Failure to avoid: A sentence saying ‘rain was reported’ should not become ‘rain is expected’ because the writer assumed all airport weather products are forecasts. Verification: Check that every target-language paragraph still identifies observation versus forecast and the product name remains visible. A polished summary that hides this distinction is incomplete.
2. The station identifier is a key, not a place-name suggestion
A four-letter ICAO location indicator associates the coded report with a reporting location. It should remain an exact identifier when quoted or stored as metadata. A plain-language airport name can be added after verification, but it must not replace the record key.
Failure to avoid: Do not translate a station code into a nearby city that is not the exact aerodrome. Several aerodromes may serve one urban area, and a city name may be insufficient for record retrieval. Verification: Compare the code against the source and, where the assignment requires a named location, resolve it through an authoritative aeronautical reference rather than guessing.
3. UTC timestamps and local time are different layers
A report group such as `141200Z` indicates the 14th day of the month at 12:00 UTC in the appropriate report position. The `Z` is not decoration; it expresses the time basis. A local rendering can be added if date, zone and daylight-saving rules are independently verified.
Failure to avoid: Never translate ’12:00Z’ as ’12 noon local time’ by habit. A local conversion may change the calendar date and can create a dangerous mismatch when readers compare products. Verification: Display the original UTC value beside an explicitly labelled local-time explanation when both are useful. The NOAA time guide confirms Z-time as UTC.
4. Issuance time, observation time and forecast validity are separate
A TAF has an issuance timestamp and a valid period; a METAR contains its observation timestamp. A revised TAF may supersede an earlier issue, so publication age and validity cannot be treated as the same fact.
Failure to avoid: A forecast issued at 17:30 UTC can describe a period starting later. Calling the issuance timestamp the forecast start shifts the meaning of the document. Verification: Underline every date-time group in the source. Explain whether each means produced, observed, valid from, valid to, or changed from, and then audit the target text for those roles.
5. Wind direction is where the wind comes from
A token such as `24012KT` expresses a wind from 240 degrees at 12 knots, not movement towards 240 degrees. Gust groups such as `G20` belong with the wind, and variability groups can alter the apparent simplicity of a single direction.
Failure to avoid: The difference between ‘from southwest’ and ‘towards southwest’ reverses meaning. A narrative that mentions the average but hides a gust also drops a reported property. Verification: Maintain direction, speed, gust unit, and any variation as separate checked fields; do not round or convert unless the assignment explicitly permits a documented conversion.
6. A visibility code can express a lower bound
In an applicable international METAR, `9999` commonly means visibility 10 kilometres or greater rather than an exact 9,999 metres. Some reporting regions use statute-mile notation, such as `P6SM`, so a translator must identify the convention before deciding what number means.
Failure to avoid: If a target sentence prints an exact-looking 9.999 km, it adds precision that the source did not provide. If it silently swaps miles and kilometres, it changes the scale. Verification: Use ‘at least’ or another appropriate threshold expression, then verify the original reporting convention and units before finalising a public explanation.
7. Cloud amount and cloud base have their own grammar
`FEW`, `SCT`, `BKN` and `OVC` are coverage codes; a group such as `BKN015` includes a height expressed in hundreds of feet. In aviation reporting the height is generally above aerodrome level, not necessarily above sea level.
Failure to avoid: Saying ‘clouds at 15 feet’ is a scale error. Saying ‘mostly sunny’ instead of translating a cloud amount is a subjective weather gloss, not an evidence-preserving rendering. Verification: Keep the original group and describe both quantity and vertical reference. Where a product includes cumulonimbus or towering-cumulus qualifiers, do not discard them.
8. Present-weather codes include intensity and phenomenon
`-RA`, `RA` and `+RA` distinguish intensities in a conventional weather-code system; `SHRA`, `TSRA` and `BR` refer to different phenomena or combinations. A leading symbol or compound token is part of the data, not punctuation that can be cleaned away.
Failure to avoid: Collapsing ‘light rain’, ‘rain showers’ and ‘thunderstorms with rain’ into ‘rain’ may hide what the product actually reports or forecasts. Verification: Decode the entire token including its signs and prefixes. If the regional variant differs, consult the official key rather than treating an automated decoder as definitive.
9. Temperature and dew point occupy defined positions
In many METAR reports a group such as `18/16` gives temperature and dew point in degrees Celsius, in that order. Negative values use a code prefix convention; the slash here does not mean a fraction or an alternative.
Failure to avoid: A translator who treats the second number as an overnight low or a range introduces a new meteorological assertion. Even a well-written weather summary can therefore be wrong. Verification: Label the two measurements explicitly and preserve minus signs. Check any special missing-value notation before assuming zero or a blank reading.
10. Pressure coding carries units and reporting convention
A `Q` group such as `Q1013` expresses a QNH pressure value in hectopascals under the applicable convention. Reports may instead show an `A` altimeter group using hundredths of inches of mercury. They cannot be treated as the same unlabelled number.
Failure to avoid: Removing the Q or A prefix, rewriting one into the other without conversion, or calling the value sea-level pressure without checking context can mislead the reader. Verification: Keep source notation and spell out the referenced pressure convention. Do not compute or present operational altimeter settings as guidance in a translation lesson.
11. Forecast change groups express different timelines
TAF `FM` identifies conditions from a stated time, `BECMG` describes a transition and `TEMPO` indicates temporary variation during a period. Their exact procedural handling belongs to the applicable standard, but a translator must not flatten all three into ‘later’.
Failure to avoid: Replacing a temporary period with a permanent condition changes expected duration; replacing ‘becoming’ with ‘already is’ changes whether the transition has occurred. Verification: Build a timeline with labelled intervals, then compare every translated time modifier with the correct forecast group.
12. Probability remains probability
Where used, `PROB30` and `PROB40` express forecast probability groups under applicable regional rules. A target-language sentence must not present the possible condition as guaranteed or deny it because the probability is below one half.
Failure to avoid: ‘There will be thunderstorms’ and ‘there are no thunderstorms’ are both stronger than a genuine probability statement. A model may generate either simplification unless explicitly constrained. Verification: Carry the numerical probability and associated period together, and explain that forecast conventions vary by authority and product format.
13. Correction and amendment labels matter
A `COR` or amendment status identifies a changed product or record. A later or corrected weather report should not be merged silently with the older one because its timestamp looks similar. A record’s version is part of its meaning.
Failure to avoid: If a user quotes a superseded TAF without its amendment status, readers may believe the conditions were current for a period when the issuing agency had already replaced that forecast. Verification: Keep issue sequence, amendment designation and source retrieval date together in a small record header before writing the narrative.
14. An unsupported token must remain unresolved
National remarks, automated-station codes and optional supplementary groups vary. A helpful explanation may cite an authoritative decoding source, but it must not expand an unfamiliar group from intuition or make up a plausible weather story.
Failure to avoid: A confident but invented definition is worse than an honest ‘not decoded here’, because it enters the translated record as if an observer or forecaster said it. Verification: Mark undecoded tokens, preserve the original string and route them to a qualified reviewer; never delete them quietly from the final version.
A repeatable nine-pass method for translating coded aviation weather
Pass 1: Freeze the source and record its provenance
Save the exact product string, issuing source, retrieval timestamp and revision status. Set the target audience and whether the task is a faithful annotated decoding or a concise reader summary.
Why this pass is necessary: This separation protects against later edits to an online feed. It also prevents the target summary from becoming an undocumented new observation. In a review, do not simply tick the step as complete. Record which fields you checked and what source or second reading resolved any ambiguity; a repeatable procedure must leave evidence a colleague could inspect.
Pass 2: Segment every group before rewriting
Mark product, station, date/time, wind, visibility, weather, cloud, temperature/dew point, altimeter or QNH, trend and forecast-change groups as applicable. Leave unfamiliar groups visible rather than assigning a field by guesswork.
Why this pass is necessary: Segmentation reduces the need to reason through a whole coded line at once, and it makes a missing source group apparent when you reconcile the translation. In a review, do not simply tick the step as complete. Record which fields you checked and what source or second reading resolved any ambiguity; a repeatable procedure must leave evidence a colleague could inspect.
Pass 3: Determine which convention applies
Check international versus regional reporting details: visibility units, pressure format, cloud conventions, special remarks and TAF change or probability practices. Write down the source authority.
Why this pass is necessary: The same letters may be familiar while a local reporting rule changes the wording required. A translation cannot silently assume another country’s conventions. In a review, do not simply tick the step as complete. Record which fields you checked and what source or second reading resolved any ambiguity; a repeatable procedure must leave evidence a colleague could inspect.
Pass 4: Build a structured fact table
Make columns for source token, decoded concept, unit or scale, time role, certainty, target expression and review status. Do not delete the coded token after drafting.
Why this pass is necessary: This table becomes a reproducible audit. It also allows a second translator to find exactly which group produced a sentence in the target language. In a review, do not simply tick the step as complete. Record which fields you checked and what source or second reading resolved any ambiguity; a repeatable procedure must leave evidence a colleague could inspect.
Pass 5: Translate certainty and duration deliberately
Mark each item as observation, ongoing trend, forecast, temporary interval, probability, unknown or missing. Choose verbs that preserve these categories, particularly where the target language expresses tense differently.
Why this pass is necessary: ‘Was observed’ and ‘is forecast’ are not stylistic variants. They locate a claim in different evidence states, and the translated verbs must show that. In a review, do not simply tick the step as complete. Record which fields you checked and what source or second reading resolved any ambiguity; a repeatable procedure must leave evidence a colleague could inspect.
Pass 6: Validate numbers, units and date boundaries
Audit direction degrees, knots, kilometres or statute miles, feet, temperature, pressure, hours and calendar day. If conversions are requested, show the original value and independently verify the calculation.
Why this pass is necessary: A numerical pass catches mistakes that reading for fluency often overlooks. It is especially important when a forecast crosses UTC midnight or month-end. In a review, do not simply tick the step as complete. Record which fields you checked and what source or second reading resolved any ambiguity; a repeatable procedure must leave evidence a colleague could inspect.
Pass 7: Prepare a human-readable explanation
Write plain sentences in the target language with a short definition for unfamiliar technical terms, but do not invent cause, impact, severity or action. Keep the source code accessible nearby.
Why this pass is necessary: A useful translation may expand a code group into several words. Its extra words should explain the source, not supply a forecast beyond the source. In a review, do not simply tick the step as complete. Record which fields you checked and what source or second reading resolved any ambiguity; a repeatable procedure must leave evidence a colleague could inspect.
Pass 8: Run a reverse-meaning and completeness check
Ask a second reader to identify from the target what is observed, what is forecast, when it applies, which values are bounded, and which groups remain unresolved. Compare answers with the fact table.
Why this pass is necessary: This is a stronger test than asking whether a sentence reads naturally. It checks the information structure, not only grammar. In a review, do not simply tick the step as complete. Record which fields you checked and what source or second reading resolved any ambiguity; a repeatable procedure must leave evidence a colleague could inspect.
Pass 9: Publish with limits and version labels
For an educational page, state when the source was issued and that the examples are historical or synthetic. Never present a translation as a current aviation briefing or approve an operational decision.
Why this pass is necessary: Context prevents a perfectly translated old report from being mistaken for live guidance. The original operational source and user procedures remain controlling. In a review, do not simply tick the step as complete. Record which fields you checked and what source or second reading resolved any ambiguity; a repeatable procedure must leave evidence a colleague could inspect.
Worked translation examples with corrected and incorrect readings
The following examples are synthetic educational fragments, not current airport observations or operational forecasts. The target-language wording is in English to display the meaning boundaries; a translator into another language must preserve the same boundaries in idiomatic target grammar.
Example 1: A routine report with wind and rain
Source fragment: `METAR TEST 141200Z 24012G20KT 6000 -RA BKN015 18/16 Q1013`
Faithful explanation: An example report at fictional station TEST for day 14 at 12:00 UTC, with wind from 240° at 12 kt gusting 20 kt, visibility 6,000 m, light rain, broken cloud at 1,500 ft above the aerodrome, temperature 18°C, dew point 16°C and QNH 1013 hPa.
Tempting but wrong: ‘A south-west wind will bring heavy rain and very low clouds this afternoon.’ That text changes observation into forecast, intensifies rain, changes the clock and introduces a causal relationship. The transferable lesson: Keep each field distinct even when the final prose is compact. A reader should be able to reassemble the original evidence without inferring that the translator supplied a fresh meteorological judgement.
Example 2: A lower-bounded visibility report
Source fragment: `9999` as a visibility group in an applicable international METAR
Faithful explanation: Visibility is reported as at least 10 km under that reporting convention; the code is a threshold rather than an exact distance.
Tempting but wrong: ‘Visibility measured 9,999 metres’ asserts a false precision and may mislead comparison with another report. The transferable lesson: Write the bounded interpretation and keep the code. When the source is a U.S.-style report using statute miles, use its own visibility convention rather than transplanting this explanation.
Example 3: A temperature pair
Source fragment: `M02/M05` in a temperature/dew-point position
Faithful explanation: Air temperature is minus 2°C and dew point minus 5°C in the applicable coding system. The `M` denotes a negative value.
Tempting but wrong: ‘The day will vary between minus five and minus two’ invents a forecast range from two different observed quantities. The transferable lesson: The translator’s first question is what each slot represents, not how to make the numbers sound natural in prose.
Example 4: A TAF validity window
Source fragment: `TAF TEST 141130Z 1412/1512 ...`
Faithful explanation: A synthetic TAF issued on the 14th at 11:30 UTC with a stated forecast validity period from day 14 at 12:00 UTC to day 15 at 12:00 UTC.
Tempting but wrong: ‘The forecast was observed at midday and applies only on the 14th’ confuses issuance, observation and a period crossing midnight. The transferable lesson: Keep the issue time and the forecast interval visible. Avoid inserting a calendar month or local clock without the publication’s actual date context.
Example 5: Temporary forecast conditions
Source fragment: `TEMPO 1414/1416 3000 SHRA` inside a compatible TAF example
Faithful explanation: Temporary conditions within the indicated interval include visibility 3,000 m and rain showers. The exact temporal interpretation follows the issuing authority’s TAF rules.
Tempting but wrong: ‘Visibility will remain 3 km from 14:00 until 16:00’ turns a temporary forecast into uninterrupted conditions. The transferable lesson: A target-language writer should say ‘temporarily’ and keep the interval. Do not recast a specific aviation forecast into a general public forecast with a different time basis.
Example 6: A transition forecast group
Source fragment: `BECMG 1416/1418 27010KT` in a compatible TAF context
Faithful explanation: The forecast indicates a becoming or transition group over the specified interval, with wind conditions described by the associated token.
Tempting but wrong: ‘At 16:00 the wind was already 270° at 10 kt’ moves the transition’s time and mislabels a forecast as an observation. The transferable lesson: If the target language lacks a compact equivalent for ‘becoming’, use a short clause such as ‘conditions are forecast to change during…’ rather than a fictitious exact moment.
Example 7: A probability group
Source fragment: `PROB30 1418/1422 TSRA` in a regime that permits this group
Faithful explanation: There is a 30% forecast probability of the specified thunderstorm-and-rain conditions during the indicated interval under the relevant convention.
Tempting but wrong: ‘Thunderstorms will definitely occur between 18:00 and 22:00’ discards the probability; ‘no thunderstorm’ discards the stated possibility. The transferable lesson: Keep percentage, interval and described conditions together; if an international audience may not know the convention, spell out the probability as a forecast feature.
Example 8: A pressure variant
Source fragment: `A2992` in a report using an altimeter convention expressed in inches of mercury
Faithful explanation: The source uses an A-prefixed pressure notation, which must not be relabelled as `Q2992` or interpreted as 2,992 hPa.
Tempting but wrong: ‘Pressure 2992 hPa’ is both a field error and an enormous unit error. A polite translation can still have a physically implausible claim. The transferable lesson: The right move is to name the original reporting convention, optionally explain the unit and avoid giving a flight-setting recommendation.
Example 9: An amendment or correction
Source fragment: `TAF AMD` or a report carrying `COR`
Faithful explanation: The label records that the source is an amended forecast or a corrected observation. It should travel with version and issuance context.
Tempting but wrong: A publisher silently uses the revised weather body while leaving the old issue time on the page, making the excerpt non-traceable. The transferable lesson: Keep a single coherent product version. If you quote multiple versions for comparison, separate them visibly and explain which one superseded which.
Failure modes: what goes wrong, how to catch it and what to correct
1. Turning a coded threshold into an exact measurement
A label like at-least visibility is converted into an exact reported distance. Repair: Search for words such as ‘exactly’, ‘measured’, ‘at least’ and ‘approximately’; check whether the source supports each qualifier. One effective proofreading move is to mark the source group responsible for every sentence, then ask whether an independent reader would know exactly the same fact, qualifier and time after reading the target. If the answer is uncertain, rewrite the explanation rather than decorating the prose.
2. Treating UTC as the reader’s local clock
A forecast that crosses a date boundary gets assigned to the wrong evening or morning. Repair: Keep original UTC date-time visible and calculate local time only under an explicit, verified time-zone rule. One effective proofreading move is to mark the source group responsible for every sentence, then ask whether an independent reader would know exactly the same fact, qualifier and time after reading the target. If the answer is uncertain, rewrite the explanation rather than decorating the prose.
3. Dropping the gust
The target mentions wind direction and steady speed but omits a higher gust reported in the same field. Repair: Reconcile the complete wind token rather than translating only its first number. One effective proofreading move is to mark the source group responsible for every sentence, then ask whether an independent reader would know exactly the same fact, qualifier and time after reading the target. If the answer is uncertain, rewrite the explanation rather than decorating the prose.
4. Changing wind-from to wind-towards
A conventional source direction becomes a reversed plain-language movement. Repair: Use ‘wind from’ explicitly in an initial decoding; let later prose use a compass descriptor only after direction has been checked. One effective proofreading move is to mark the source group responsible for every sentence, then ask whether an independent reader would know exactly the same fact, qualifier and time after reading the target. If the answer is uncertain, rewrite the explanation rather than decorating the prose.
5. Flattening METAR, SPECI and TAF into weather report
The target stops distinguishing a current observation, a special observation and future forecast. Repair: Preserve product type at the beginning and in metadata; correct verb tense throughout. One effective proofreading move is to mark the source group responsible for every sentence, then ask whether an independent reader would know exactly the same fact, qualifier and time after reading the target. If the answer is uncertain, rewrite the explanation rather than decorating the prose.
6. Discarding a minus sign or symbol
Negative temperatures, light precipitation and probability markers lose their meaning. Repair: Review code punctuation as data; compare the target with the raw source token by token. One effective proofreading move is to mark the source group responsible for every sentence, then ask whether an independent reader would know exactly the same fact, qualifier and time after reading the target. If the answer is uncertain, rewrite the explanation rather than decorating the prose.
7. Confusing cloud base reference
A height above the aerodrome is written as absolute altitude or reduced by two zeros. Repair: Retain the vertical reference and hundreds-of-feet convention; record source units and any converted equivalent. One effective proofreading move is to mark the source group responsible for every sentence, then ask whether an independent reader would know exactly the same fact, qualifier and time after reading the target. If the answer is uncertain, rewrite the explanation rather than decorating the prose.
8. Translating with a general weather app’s vocabulary
An app’s simplified public forecast phrases replace a technical group in the source. Repair: Use aviation weather definitions and flag any unresolved regional variation instead of guessing. One effective proofreading move is to mark the source group responsible for every sentence, then ask whether an independent reader would know exactly the same fact, qualifier and time after reading the target. If the answer is uncertain, rewrite the explanation rather than decorating the prose.
9. Conflating forecast transition and temporary period
BECMG, TEMPO and FM all become a vague ‘later’ sentence. Repair: Create a written mini-timeline, mapping each translated clause to its source interval and change group. One effective proofreading move is to mark the source group responsible for every sentence, then ask whether an independent reader would know exactly the same fact, qualifier and time after reading the target. If the answer is uncertain, rewrite the explanation rather than decorating the prose.
10. Dropping a supersession marker
The translation still reads correctly but describes an obsolete issue as if current. Repair: Preserve correction and amendment markers plus issuance metadata; explicitly label historical examples. One effective proofreading move is to mark the source group responsible for every sentence, then ask whether an independent reader would know exactly the same fact, qualifier and time after reading the target. If the answer is uncertain, rewrite the explanation rather than decorating the prose.
11. Making up a national remark
An unfamiliar RMK or regional code receives a plausible meaning that no official guide supports. Repair: Keep the token and say it was not resolved by the available references; use a specialist source for the actual jurisdiction. One effective proofreading move is to mark the source group responsible for every sentence, then ask whether an independent reader would know exactly the same fact, qualifier and time after reading the target. If the answer is uncertain, rewrite the explanation rather than decorating the prose.
12. Promising operational suitability
An educational decoding concludes that a flight can depart or land safely. Repair: Remove the operational judgement. An accurate translation cannot replace a pilot’s, dispatcher’s or operator’s briefing and procedures. One effective proofreading move is to mark the source group responsible for every sentence, then ask whether an independent reader would know exactly the same fact, qualifier and time after reading the target. If the answer is uncertain, rewrite the explanation rather than decorating the prose.
Practice and transfer: train the skill, not a memorised answer
Practice 1: Code-to-field mapping
Take a sample METAR and make a two-column inventory: original token and its function. Label station, observation time, wind, visibility, present weather, clouds, temperature/dew point and pressure. Leave any unknown token in a separate unresolved row.
Self-check: The method matters because an omitted group is harder to notice in a flowing paragraph than in an inventory. When you finish, count the source groups and compare them to your translation rows.
Practice 2: Threshold language
Write two English explanations for `9999`: one correct threshold reading and one deliberately incorrect exact-reading sentence. Underline which word introduces the false precision.
Self-check: Then repeat with another real source that uses a different visibility convention. The exercise tests whether you learned the concept of bounded reporting, not merely a memorised code.
Practice 3: Time translation
Create an example report at 23:50Z and write the UTC form first. Add one explicitly chosen local time zone with a checked date conversion, noting whether the local calendar day changes.
Self-check: Keep the original value beside the converted form. Do not rely on a date conversion invented by the target language model; verify the timezone’s rules for that date.
Practice 4: Forecast interval logic
Take an illustrative TAF containing FM, BECMG and TEMPO and draw a line with distinct positions and intervals. Write one short target-language sentence for each without losing its temporal status.
Self-check: Compare your sentences back to the timeline: an observation cannot appear where a forecast belongs, and a temporary interval cannot become a guaranteed continuous state.
Practice 5: Unit audit
Find one code in knots, one visibility report in metres or statute miles, one cloud base in hundreds of feet and one pressure token. Write down the original unit and, only when needed, a verified converted value.
Self-check: This is not a test of mental arithmetic speed. It tests whether you can prevent an invisible unit conversion from corrupting a multilingual report.
Practice 6: Unknown token discipline
Plant one unsupported national remarks token in a synthetic example. Draft a translation that openly preserves it, then draft a second version that guesses its meaning. Compare which text is safer and more accountable.
Self-check: A helpful translator can state a limitation without abandoning the reader. The preferred output is a traceable unresolved field, not invented certainty.
Practice 7: Quality review with another reader
Give a partner the translated summary but not the raw code. Ask them to list product type, location key, time basis, one bounded value and one forecast qualifier; then check their list against the source.
Self-check: If their reconstruction is wrong, identify whether the issue came from missing evidence, confusing wording or an incorrect decoding. Revision should target the cause.
Practice 8: Transfer to other technical records
Apply the same preservation method to a marine observation, an earthquake bulletin or an air-quality record from the linked eduKateSG series. Look for identifier, unit, time, uncertainty and revision fields.
Self-check: The purpose of practising across subjects is to learn a general translation habit: protect evidence states and data relationships before making technical writing more readable.
Frequently asked questions about METAR and TAF translation
Is translating a METAR the same thing as decoding one?
Not quite. Decoding maps coded groups to their documented meteorological meaning. Translation additionally chooses target-language wording, structures an explanation for the intended audience and checks that qualifiers survive. A decoded field can still be mistranslated if the writer changes certainty, time basis, unit or status.
Can I translate every abbreviation into a plain English phrase?
You can explain recognised groups, but the raw code should remain available when source traceability matters. Some abbreviations are not ordinary words; their meaning depends on field position, reporting system and jurisdiction. Preserve unknown groups rather than inventing a phrase.
What is the most common TAF translation mistake?
One particularly serious mistake is flattening change groups into an undifferentiated prediction. `FM`, `BECMG` and `TEMPO` do not describe identical temporal relationships. Make a timeline before writing a smooth target-language paragraph.
Should METAR timestamps be converted to local time?
Only when the audience actually needs it and the conversion can be verified. Keep UTC in the source record; state the time zone and local date explicitly for an optional companion explanation. Avoid replacing an authoritative UTC stamp with a potentially ambiguous clock.
Does 9999 mean visibility of 9,999 metres?
In relevant international METAR coding, it denotes visibility of 10 kilometres or more, rather than that exact measured distance. Always check the reporting convention in the particular source; other formats express visibility in other units and notations.
Why should gusts and clouds be translated separately?
They describe distinct reported weather properties. A single informal phrase such as ‘breezy and cloudy’ can omit quantitative wind gusts and cloud amount or height. Keep those measured or reported fields recoverable even in a short summary.
Can a translation tool or AI decoder be used?
It can assist with preliminary segmentation, terminology candidates and comparison, but it can miss a regional remark, infer a location or silently alter a probability. Review against authoritative reference materials and the actual coded product. Never outsource an operational safety judgement to a language model.
How should I handle a corrected METAR or amended TAF?
Treat it as a versioned product. Save the correction or amendment label, its issue time and the raw text; do not join values from earlier and later versions as though they came from a single observation or forecast.
What if my target language has no familiar term for a cloud or weather code?
Keep the source code, use a concise descriptive gloss and include a defined term when appropriate. Correctness comes from preserving the concept and quantitative data, not creating a one-word equivalent at any cost.
Can this guide be used to decide whether it is safe to fly?
No. These are educational translation principles and synthetic examples. Current official aviation weather products, trained operational interpretation and applicable aviation procedures are required for flight decisions; a translated article is not a briefing.
How do I know whether a translation passes review?
Give another reader the target explanation and ask them to reconstruct the same observations, forecast intervals, uncertainty, location and time. Any discrepancy shows a translation issue. A good review documents which original group each sentence represents.
What else should a translator study after this?
Move from weather codes to general source interpretation and evidence checks. Learn terminology and precise language through the Vocabulary Learning Hub and How English Works, then practise with a neighbouring technical-record owner such as the earthquake bulletin or air-quality article.
Related learning routes and the scope of this article
For the translation system rather than this specific product, begin with Master Art of Translation and the Top Ways to Translate Correctly series index. For technical cross-checking, use earthquake bulletins and magnitude scales for time-and-evidence distinctions, and air-quality records and AQI for the difference between physical measurements and communication categories. Those articles have different canonical jobs from this aviation-weather guide.
For word learning and academic phrasing, see the Vocabulary Learning Hub and How English Works: Translation and Meaning Across Languages. For original technical reference, consult the NOAA Aviation Weather Center, the FAA’s METAR and TAF key, and NOAA’s UTC explanation. They are reference points for terminology and structure, not a substitute for the original source product.
The principle to keep: a good aviation-weather translation does not merely sound like weather reporting. It preserves which authority reported or forecast the condition, which product carried it, what each value means, when it applied, and how certain or temporary the statement was. Translate the coded evidence, not an imagined airport forecast.