Analysis workspace

Analyze the
atmosphere.

Explore, visualise and analyse global weather and climate data — a research workspace in design. The layout below is the planned workflow; the map shows a real example layer.

PreviewSee data sources Methodology

Multiple datasets
Reanalysis, forecast, satellite and station data — sources under evaluation.
Analysis tools
Maps, time series, composites and climatology — planned.
Research ready
Exports with metadata and citations — planned.

Globe: NASA Blue Marble, Black Marble and MODIS cloud composite — illustrative, not current weather.

1. Select dataset

Choose a data source to begin an analysis.

ERA5(Selected)
ECMWF reanalysis
1940 – near present
0.25° global
ReanalysisCandidate
GFS
NOAA global forecast
0 – 16 days
0.25° global
ForecastCandidate
Satellite
NASA · NOAA · EUMETSAT
Observations
Product-specific terms
ObservationCandidate
Station data
National agencies, SYNOP / METAR
Surface observations
Coverage varies
ObservationCandidate

2. Configure your analysis

Set parameters to visualise and analyse atmospheric data.

Variable

Geopotential height (z)

Level

500 hPa

Region

Global

Period

One month

Anomaly mode

Anomaly vs 1991–2020

Analysis type

Map (spatial field)

Preview: these controls are not active yet.

View metadata

Loading map…

2 m air temperature, monthly mean

NASA GMAO MERRA-2 · June 2026

Reanalysis

2 m air temperature, monthly mean (K)

220238256274292310

2 m air temperature, monthly mean (K)

220238256274292310

Methodology

The data and methods behind every analysis: sources, processing, climatologies and aggregation.

View methodology

Export & download

Download data, figures or share an analysis — once analyses exist.

Coming soon

Download dataNetCDF, CSV
Export figurePNG, PDF, SVG
Copy linkShare analysis
Open in notebookJupyter

Example layers

Real, dated satellite and reanalysis layers already connected for display — a taste of what analyses will start from.

Sea surface temperature anomaly
28 Sept 2026 · vs 2003–2014 MUR climatology
Precipitation, daily (IMERG)
28 Sept 2026 · Satellite estimate
Land surface temperature (day)
30 Sept 2026 · Terra MODIS
Aerosol optical depth
28 Sept 2026 · MODIS Terra + Aqua

Code & API integration

How a Python library or API call could look once the data API exists.

Draft interface

# Draft interface — the package does not exist yet
from meteorologist import Dataset

ds = Dataset("era5")
data = ds.get(
    variable="z",
    level=500,
    region="global",
    start="2026-08-01",
    end="2026-08-31",
    anomaly=True,          # vs 1991-2020
)
data.plot_map()

# Draft interface — this host does not respond yet
curl -G "https://api.meteorologist.id/v1/lab/analyses" \
  -H "Authorization: Bearer <YOUR_KEY>" \
  --data-urlencode "dataset=era5" \
  --data-urlencode "variable=z" \
  --data-urlencode "level=500" \
  --data-urlencode "anomaly=1991-2020"

// Draft interface — not published
const res = await fetch(
  "https://api.meteorologist.id/v1/lab/analyses?" +
    new URLSearchParams({ dataset: "era5", variable: "z", level: "500", anomaly: "1991-2020" }),
  { headers: { Authorization: "Bearer <YOUR_KEY>" } },
);
const analysis = await res.json();

Not live: there is no package or endpoint yet, and names may change.

Heavy scientific processing will run in data pipelines, not in the browser.