Find a historical KATL METAR archive, search in UTC, export raw METAR/SPECI reports or CSV, and diagnose missing Atlanta observations.
KATL is Hartsfield–Jackson Atlanta International Airport. A KATL METAR time series is a chronological sequence of raw METAR and SPECI observations for that station. Search an aviation-weather or surface-observation archive using UTC dates and times, then export the raw reports or a CSV while preserving special and duplicate observations.
For Aviation & Real-World Flying research, confirm the airport name as well as the code before using the data. If you need the latest report rather than historical observations, see our guidance on checking KATL’s current METAR, TAF, temperature and radar data.
KATL METAR archive and time series: which source should you use?
Choose a raw aviation-observation archive for an exact report and a downloadable surface-observation dataset for multi-day or bulk KATL time-series work.
| Requirement | Suitable archive type | Retrieval route | Main limitation |
|---|---|---|---|
| One recent report or a short event window | US national aviation-weather raw-observation query, archive or API | Enter KATL, set the UTC period, include METAR and SPECI, then request raw or coded output | Official operational services may retain only a limited look-back period |
| One historical flight or several days | Downloadable ASOS/METAR station archive that retains the raw report | Select the Georgia ASOS network if required, choose ATL, set UTC start and end times, and export raw text or CSV | The station selector may use the domestic identifier ATL even though the raw report says KATL |
| Months, years or bulk analysis | NOAA/NCEI Global Hourly, Integrated Surface Database or Local Climatological Data | Find the airport in the station inventory by name, ATL or its numeric station key, select the period, then download CSV data | These are structured surface-observation datasets and are not necessarily complete raw METAR archives |
| Legal, insurance or formal investigative evidence | Certified records from the responsible national weather authority | Request the station and UTC period, specifying the required certification | A normal archive page, screenshot or self-downloaded CSV is not a certified record |
In raw aviation code, the station should appear as KATL. US surface-observation databases often shorten this to ATL, while long-range datasets may use a numeric USAF, WBAN or internal station key. Accept those alternatives only after confirming the record identifies Hartsfield–Jackson Atlanta International Airport and that its metadata covers the requested date.
How to download or build a KATL time series
A reliable KATL time series keeps the original coded reports, complete UTC timestamps and enough metadata to reproduce the search.
- Set the date range in UTC. Include at least one hour before and after the event. For a full local day in Atlanta, the UTC range will cross calendar boundaries.
- Confirm the station identity. Search
KATLfirst, thenATLif the archive uses three-letter domestic identifiers. Record the airport name, network, coordinates and numeric station key when supplied. - Request every report type. Include routine METARs, unscheduled SPECIs and corrected reports. Avoid filters that return only one observation per clock hour.
- Export raw text or CSV. Raw text best preserves the report exactly as transmitted. CSV is easier to sort and analyse; if possible, choose a CSV export containing the complete raw METAR in its own column.
- Retain the essential fields. Keep the issue or observation time, station identifier, report type, raw report, wind direction and speed, gusts, visibility, present weather, every cloud layer, temperature, dew point, altimeter setting and remarks. Also retain quality-control flags and source record identifiers when available.
- Sort by the full UTC timestamp. Use the archive’s month, year and date as well as the METAR day-and-time group. A raw group such as
151852Zdoes not identify the month or year by itself. - Preserve special, corrected and duplicate observations. Do not automatically discard records sharing a timestamp. One may be a
SPECI, a correctedCORreport or a later archive version. Label exact duplicates rather than silently deleting them, then document any deduplication used for analysis. - Save the archive metadata. Record the source type, retrieval date, selected time zone, station key, units, coverage notes and any quality-control processing.
A raw report may begin with KATL rather than the literal word METAR. Do not reject it for that reason; archive formatting and bulletin headers vary.
What does a historical KATL METAR archive actually contain?
A raw METAR/SPECI archive and a processed hourly weather dataset are different products, even when both originate from the same airport instruments.
| Feature | Raw METAR/SPECI records | Processed hourly dataset |
|---|---|---|
| Observation frequency | Routine reports plus available SPECIs and corrections | May retain one representative record per hour |
| Original code | Preserves groups such as AUTO, COR and RMK | Often converts observations into normalised columns |
| Remarks | Usually retained when the archive stores the complete report | May be shortened, parsed or omitted |
| Best use | Recreating a flight, checking exact reported conditions or studying rapid changes | Statistics, plotting and long-term trend analysis |
An hourly dataset can omit the intermediate SPECI that recorded a thunderstorm, visibility reduction, wind shift or ceiling change. It may also apply quality-control substitutions, unit conversions or rounding. Before using any historical KATL METAR for research or simulation, check the station metadata, coverage dates, report frequency, time basis and treatment of remarks.
What station code and time zone should I use?
Use KATL for the ICAO station code and UTC for every search, export and chronological sort.
In KATL 151852Z, 15 is the day of the month and 1852Z means 18:52 UTC. The archive selection supplies the missing month and year. Some databases label this field as the observation time, valid time or issue time; preserve the source label rather than assuming all timestamps mean exactly the same thing.
Atlanta uses Eastern Time: UTC−5 during standard time and UTC−4 during daylight-saving time. Apply the daylight-saving rules in force on the historical date because those rules have changed over time. A late-evening Atlanta event may fall on the following UTC date, so search both UTC calendar dates when necessary.
Why is a historical KATL METAR missing?
A missing KATL report is often caused by station, time-zone or product filters rather than a genuine absence of observations.
- The archive expects
ATL. Search the three-letter identifier or locate the airport through the station inventory, then verify its name and metadata. - The wrong calendar date was entered. Convert the Atlanta local time to UTC and check the adjacent UTC date.
- The query searches only exact hours. Routine US METARs are commonly transmitted shortly before the hour, so search the whole period rather than only
1900Z,2000Zand similar timestamps. - SPECI reports are hidden. Disable routine-only or hourly-only filters and request all report types.
- The product is processed hourly data. Try a raw aviation-observation or ASOS archive if the required report falls between retained hourly records.
- The archive has an ingestion gap. Cross-check a second archive type; one system may have missed a report that another retained.
- The station reported
NILor suffered an outage. Preserve the nearest reports before and after the gap and document that no observation was available. - The date predates US METAR adoption. Older Atlanta surface observations may use the earlier SA reporting format and may be held in a different historical dataset.
If no report can be recovered, do not invent or interpolate a raw METAR. Keep the closest observation before the target time, the next available observation afterwards and a clear note describing the gap.
How should I use a historical KATL METAR in a simulator?
Use the latest observation at or before the simulated time, then inspect the following METAR or SPECI to understand how conditions changed.
The report can supply surface wind, visibility, weather, cloud bases, temperature, dew point and altimeter setting. Our guide to decoding METAR groups for flight simulation explains how to translate the raw string without losing significant details.
US visibility is normally reported in statute miles, temperature and dew point in Celsius, cloud heights in hundreds of feet above the aerodrome, and METAR wind direction relative to true north. Check how the chosen simulator interprets wind direction, cloud coverage and pressure before entering the values manually.
A METAR describes observed conditions near KATL’s surface; it does not reproduce upper winds, weather between stations or the complete atmosphere around Atlanta. Live-weather engines may blend airport observations with forecast and model data, so their depiction need not match the archived report exactly. Our explanation of how real-world weather is constructed in flight simulators covers that distinction.