◆ Geography & Environment

What a weather forecaster
really does.

21 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.

21evidenced tasks
10,000in the US (2025)
$99,070median pay / year
7systems it runs on
See the 21 tasks ↓Open in the atlasThe full career map →
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Interpret meteorological data
Review the last 48 hours of upper-air soundings and surface obs, cross…3 sources agree

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The work, task by task

21 tasks
Hands on the work15
Interpret meteorological data+
Review the last 48 hours of upper-air soundings and surface obs, cross-check automated quality flags, calculate stability indices and precipitation probability, then write a 300-word forecast briefing for the 6 AM shift.
escojdonet3 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Report current weather conditions+
Prepare a concise current-conditions bulletin for broadcast: observe surface temp, wind, visibility and precipitation now, note any warnings, and produce a plain-language two-paragraph script for the next on-air update.
escojdonet3 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Investigate atmospheric phenomena+
Collect radar, satellite and surface reports for the last three cases of boundary-layer turbulence, characterise vertical profiles and frontal structure, and draft a methods note describing hypotheses and planned analyses.
jdonet2 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Compile data and prepare reports+
Gather the daily station logs and automated model outputs for the month, reconcile missing entries, produce charts of key variables and write a four-page operational report with executive summary for the regional office.
escojd2 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Prepare forecasts or briefings to meet the needs of industry, business, government, or other groups.+
Draft a sector-specific morning briefing for the shipping company and port authority summarising expected fog, winds above 25 knots, and wave heights for the next 48 hours, include confidence level and recommended actions for cargo handling by 07:00 for the duty manager.
onet
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Perform managerial duties, such as creating work schedules, creating or implementing staff training, matching staff expertise to situations, or analyzing performance of offices.+
Prepare next fortnight's duty roster, identify two staff for severe-weather overtime, schedule a training session on new radar interpretation for Friday afternoon, and attach last quarter's performance summary for review by the operations chief.
onet
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Present findings to government agencies+
Present the regional forecast package and the worst-case storm scenarios to the Ministry of Transport and the Emergency Management Agency on Thursday, emphasising impacts to highways and ports, include maps, confidence intervals, and recommended mitigation steps.
jd
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Evaluate the influence of magnetospheres on atmospheres+
Produce a briefing that compares observed atmospheric escape rates with magnetosphere strength for Earth, Mars and two magnetic exoplanets, show data sources, modeled coupling mechanisms, and policy implications, and circulate to the geomagnetics team on Monday.
wiki
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Grow the practice3
Watch and assess2
Work with people1

What the work runs on

named inside the evidenced tasks
9 tasksMicrosoft Excelclean, standardise timestamps and compute summary statistics for tabular observational dataOpen its task library → 6 tasksMicrosoft Wordcompose and format the broadcast script and checklistOpen its task library →
5 tasksLinuxprocess large remote-sensing files and run analysis scripts on case datasets
5 tasksMicrosoft PowerPointcreate summary charts and assemble an executive briefing for stakeholders
2 tasksIBM SPSS Statisticsrun statistical checks and produce summary statistics for observational datasets
2 tasksC++use for developing embedded data-acquisition code and sensor drivers for prototype instruments
1 taskMicrosoft Outlooksends the briefing to stakeholders and logs delivery
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The same task, four heights

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ExecuteDo today's task, with fewer mistakesyou are here → ImproveMake it easy for the next person to acceptin the atlas → DecideWork out the right move when it is unclearin the atlas → BecomeLearn the pattern so it stops coming backin the atlas →

Can AI actually do this job?

the honest answer

It can

where it genuinely helps
  • Explain the theory behind the work
  • Draft, tidy and structure your writing
  • Rehearse a hard conversation before you have it
  • Build a study plan that fits your gaps

It cannot

where it stops, completely
  • Be in the room where a weather forecaster actually works
  • Carry the responsibility when the call is wrong — that weight stays yours
  • Notice what no one wrote down: the hesitation, the thing left unsaid
  • Live with the outcome

What the work pays

two countries, two different measures

United States

this exact occupation · BLS 2025
  • $99,070 a year — the middle: half earn more, half earn less
  • The lowest tenth earn near $53,060; the top tenth near $161,890
  • 10,000 people employed in this occupation

India

the occupation GROUP, not this job · PLFS via ILOSTAT 2025
  • ₹38,298 a month — the median for Professionals, the group this work sits in
  • India publishes pay by broad occupation group, so this covers many jobs besides this one. It is a shape, not a salary.
read this carefullyThese two numbers are not comparable and must not be converted into each other. One is a yearly figure for this job alone; the other is a monthly figure for a whole family of jobs. What travels between them is the pattern, not the amount: experience lifts pay almost everywhere.

Where the evidence lives

open any of it yourself
O*NETThe US Department of Labor's own record of this job9 of these tasks ESCOThe European skills and occupations register5 of these tasks Job descriptionsReal postings, in the wild13 of these tasks WikipediaHow the world describes this work3 of these tasks US Bureau of Labor StatisticsPay and employment, by occupation2025 figures UK NOS COS3Prepare meteorological forecast datanational standard UK NOS COS9Prepare preliminary meteorological forecast datanational standard

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Questions people actually ask

You start by pulling current data: satellite imagery, surface station reports, and model output (GFS, ECMWF). That means opening Linux tools, Python scripts, and software like Microsoft Excel or IBM SPSS Statistics to check trends and anomalies.

Then you write briefings or a forecast, make graphics (PowerPoint or specialized mapping tools), and deliver them to the public, emergency managers, or business clients. You might also attend a planning meeting, run a quick calibration on remote sensors, or edit staff schedules if you have managerial duties.

You will use Linux for data processing, Microsoft Excel and PowerPoint for tables and briefings, and Outlook for communication. Many forecasters write Python scripts to fetch, clean, and plot model and satellite data. C++ is used in some research or instrument code.

IBM SPSS Statistics appears in some offices for statistical analysis of climate or verification studies. Knowing how to run a Python script on Linux and make clear Excel charts covers most operational tasks.

Use AI for routine tasks: automate data cleaning, summarize model differences, and draft plain-language briefings. Always keep the raw numbers and plots visible so you can check AI outputs against observations and models.

Never let AI write the final forecast or public warning without a human verifying the meteorological logic. Keep versioned scripts, log the data sources (which model run, satellite time), and note uncertainty—AI can help wording, but you must own the decision.

Study atmospheric science, meteorology, or related fields. Take courses in dynamical meteorology, synoptic meteorology, and remote sensing. Learn programming (Python, some C++ helps) and statistics (IBM SPSS or similar).

Hands-on experience with satellite imagery analysis, wind assessment studies, and internships at a forecast office or university research group is critical. Teaching or TA roles in college-level courses also strengthen communication skills.

Forecasters focus on short-term to medium-range weather: making forecasts, issuing briefings, analyzing satellite imagery, and running operational scripts. They deliver products to users like emergency managers or broadcasters.

Climate scientists study long-term processes: climate models, estimating regional warming effects, and theories about atmospheric loss. Forecasters may compile data for research or help with climate studies, but the main job is current and near-future weather.

According to the U.S. Bureau of Labor Statistics (BLS) for 2025, about 10,000 people are employed as atmospheric and space scientists including forecasters; the median yearly wage is $99,070. The lowest tenth earned $53,060 and the top tenth earned $161,890.

Pay varies by employer: national weather services, TV stations, private weather firms, or research universities. Use the BLS numbers to get the general range for the U.S.

Clear, fast decision-making based on data. You must interpret meteorological data and satellite imagery, decide which model outputs matter, and produce a concise forecast or briefing under time pressure.

That combines technical skills—Python scripts, Excel, Linux—with communication: making graphics and presentations so emergency managers or the public understand timing, location, and uncertainty.