Mean air temperature in Brandenburg and Berlin
Mean air temperature in Brandenburg and Berlin stood at 15.89 °C in Sep 2026, according to German Meteorological Service (DWD), Climate Data Center. It is one of the indicators in the Monthly climate by region table (Value · Monthly), with a complete series running from Jan 1881 to Sep 2026. The complete series with an interactive chart, free to download.
This indicator in the Monthly climate by region table
| Indicator | 09-2026 | 08-2026 | 07-2026 | 06-2026 | 05-2026 | 04-2026 | 03-2026 | 02-2026 | 01-2026 | 12-2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Germany | 15.86 | 19.74 | 19.53 | 19.39 | 14.05 | 9.17 | 6.3 | 2.77 | -0.79 | 3.17 | |
| Brandenburg and Berlin | 15.9 | 19.56 | 19.29 | 19.85 | 14.41 | 8.77 | 6.68 | 0.8 | -1.99 | 3.14 | |
| Brandenburg | 15.89 | 19.54 | 19.28 | 19.83 | 14.39 | 8.75 | 6.66 | 0.79 | -1.99 | 3.13 |
Understanding mean air temperature in Brandenburg and Berlin
Aggregated across Brandenburg and the surrounding capital territory, this series evaluates monthly mean air temperature from land-based weather stations. The figure reflects the spatial average of ambient surface air observations taken at standard instrument height throughout the calendar month, expressed in degrees Celsius. While sibling rows in the table report the nationwide mean or isolate alternative regional groupings, this entry isolates the combined territorial extent of Brandenburg and Berlin. It incorporates solely surface thermal observations, leaving out precipitation volumes, sunshine duration, and ground-level frost measurements presented in companion tables.
Pronounced annual seasonality governs the series, rendering consecutive month-to-month changes uninformative for detecting structural climate anomalies. Meaningful analysis requires year-on-year comparisons against the identical month in previous years or against long-term climatological reference baselines. Early estimates released immediately after the close of the month rely on partially automated telemetry and remain subject to minor revisions as delayed station logs and quality audits conclude. Long-term consistency depends on spatial interpolation algorithms that correct for historical station relocations, instrumentation modernizations, and network changes, ensuring that local site shifts do not introduce false breaks into the regional time series.
Frequently asked questions
- Why are Brandenburg and Berlin grouped together in this temperature series?
- Berlin forms an enclave situated entirely within Brandenburg, so meteorological calculations frequently evaluate their contiguous area as a single spatial unit alongside the separate sub-provincial figures.
- Does this series reflect urban heat effects from Berlin?
- Station readings from both metropolitan and outer areas are gridded across the broader landscape, meaning urban heat signals are incorporated into the regional average in proportion to spatial grid coverage.
- How should a single monthly value be evaluated without misleading seasonal distortion?
- Evaluating figures against the identical calendar month across prior years or relative to historical multi-decade reference averages isolates genuine thermal deviations from predictable seasonal cycles.