Climate Explorer User Guides
Choose a practical guide for using Climate Explorer’s eight weather and climate datasets, clean URLs, charts and downloads.
These guides explain how to move from a map or station list to a reproducible chart, table or download. Choose the guide for the data provider you are using. Each guide describes the available views, selection controls, limitations and interpretation checks for that Explorer.
Find the right guide
EuroMeteo guide
- Related Explorer
- Europe-wide near-real-time observations from MeteoGate and E-SOH networks.
- What you will learn
- Select a parameter and station, navigate the map and station table, inspect plots and export recent observations.
- Best for
- First-time and returning users comparing current conditions across European countries.
- Prerequisites and limitations
- No coding is required. Reporting coverage varies by station and parameter, so check the station information before comparing locations.
DWD guide
- Related Explorer
- German DWD observations from 10-minute measurements through long-term summaries.
- What you will learn
- Choose a Bundesland, station and resolution; read dashboard plots; configure dates; use clean links; and download records.
- Best for
- Users investigating German local weather, extremes or climate histories at several timescales.
- Prerequisites and limitations
- No coding is required. Available variables and record periods depend on the station and selected resolution.
Météo-France guide
- Related Explorer
- Official French observations at 6-minute, hourly, daily and monthly resolution.
- What you will learn
- Filter by department and station, switch temporal datasets, interpret weather charts and export source observations.
- Best for
- Users studying French events, precipitation intensity and station histories.
- Prerequisites and limitations
- No coding is required. Fine-resolution variables and archive depth are not uniform across all stations.
JMA guide
- Related Explorer
- Japan Meteorological Agency station observations organized by prefecture.
- What you will learn
- Select a resolution, prefecture and station; use map and dashboard views; inspect tables; and export observations.
- Best for
- Users examining weather events and historical records across Japan.
- Prerequisites and limitations
- No coding is required. Station elements and record lengths differ across temporal datasets.
IMGW guide
- Related Explorer
- Polish IMGW-PIB hourly, daily and monthly station observations.
- What you will learn
- Find stations, change resolution, interpret dashboard plots and tables, set a period and export selected records.
- Best for
- Users comparing Polish stations or reconstructing local weather events.
- Prerequisites and limitations
- No coding is required. Dataset coverage and variables vary with station and resolution.
WMO Normals guide
- Related Explorer
- Station-level 1991–2020 climatological normals submitted through WMO.
- What you will learn
- Locate a station, compare monthly normal values, interpret seasonal charts and recognize missing variables.
- Best for
- Users who need a reference-period baseline rather than current observations.
- Prerequisites and limitations
- No coding is required. Normals are historical summaries, not forecasts or current climate values, and availability differs by station.
GHCNh guide
- Related Explorer
- NOAA’s global hourly land-station archive.
- What you will learn
- Select countries and stations, inspect hourly and derived views, recognize quality information and export observations.
- Best for
- Users investigating global hourly events or detailed station behaviour.
- Prerequisites and limitations
- No coding is required. Gaps, station changes and heterogeneous reporting practices require careful interpretation.
GHCNm guide
- Related Explorer
- NOAA’s global monthly land-station climate archive.
- What you will learn
- Choose variables, countries, stations and months; read long-term plots; distinguish series types; and assess trends cautiously.
- Best for
- Users exploring monthly anomalies and long station histories.
- Prerequisites and limitations
- No coding is required. Spatial coverage changes through time, and one station should not be assumed to represent a whole region.
A reproducible workflow
Record the provider, station identifier, selected variable, temporal resolution and date range when you use an Explorer result. Keep the clean page URL with your notes, but also record any downloaded file and provider documentation because live datasets may later receive corrections.