Temperature Average in 2026
| Value | Place | Station | Elevation |
|---|
On the maps, you can display various parameters from weather stations for different time periods. Depending on the parameter, the time period can be selected from decades or months through seasons to the entire year.
Weather stations have different measurement periods and thus the quality regarding climate classification varies. A weather station that measures for only a few years or has large gaps in measurement is less suitable for climate classification of extremes than a long and continuous measurement series of 50 to 100 years or more. For this reason, we have built in a quality filter. In minimum availability, the gaps in a measurement series are considered: At 100%, there are no gaps over the entire measurement series. In minimum series length, you can set the entire time period of the measurement series regardless of gaps: With a set value of 50 years, there may also be measurement gaps. These are filtered out by the minimum availability.
Anomalies and records
For each parameter, you can display different values such as anomalies or records. These are briefly explained below. You can view anomalies for different climate reference periods. A climate reference period is always 30 years. For the current year, we show the daily reference for some parameters (note in header). For all other time periods, the anomaly always refers to the total period (entire month, etc.).
Absolute: The absolute measured value in the respective unit such as degrees Celsius, days, etc.
Anomaly: The anomaly (deviation) from the absolute measured value in relation to the selected climate reference period. Anomalies for temperatures are strictly speaking given in Kelvin (here K = °C).
Record max: The absolute and maximum record value for the selected parameter and period. Example: Temperature average + year: you see the warmest year. Example: Ice days + February: you see the maximum number of ice days in a February.
Record min: The absolute and minimum record value for the selected parameter and period. Example: Precipitation sum + summer: you see the driest summer. Example: Ice days + February: you see the minimum number of ice days in a February.
Dev. record max: The deviation from the record maximum for the selected parameter and period. We have set this up additionally to identify new records early, especially in ongoing months and seasons. Example: Temperature average + seasonal values + 2018 + summer: you see how far summer 2018 was from the absolute record (warmest summer). If you see the value 0, it was the warmest summer. If you look at data for the current and ongoing summer, values above 0 can also occur. In that case it would be a new record at the current time.
Dev. record min: The deviation from the record minimum for the selected parameter and period. We have set this up additionally to identify new records early, especially in ongoing months and seasons. Example: Temperature average + seasonal values + 1962 + summer: you see how far summer 1962 was from the absolute record (coldest summer). If you see the value 0, it was the coldest summer. If you look at data for the current and ongoing summer, values below 0 can also occur. In that case it would be a new record at the current time.
Climate-StationsmapOn the maps, you can display various parameters from weather stations for different time periods. Depending on the parameter, the time period can be selected from decades or months through seasons to the entire year.
Weather stations have different measurement periods and thus the quality regarding climate classification varies. A weather station that measures for only a few years or has large gaps in measurement is less suitable for climate classification of extremes than a long and continuous measurement series of 50 to 100 years or more. For this reason, we have built in a quality filter. In minimum availability, the gaps in a measurement series are considered: At 100%, there are no gaps over the entire measurement series. In minimum series length, you can set the entire time period of the measurement series regardless of gaps: With a set value of 50 years, there may also be measurement gaps. These are filtered out by the minimum availability.
Anomalies and records
For each parameter, you can display different values such as anomalies or records. These are briefly explained below. You can view anomalies for different climate reference periods. A climate reference period is always 30 years. For the current year, we show the daily reference for some parameters (note in header). For all other time periods, the anomaly always refers to the total period (entire month, etc.).
Absolute: The absolute measured value in the respective unit such as degrees Celsius, days, etc.
Anomaly: The anomaly (deviation) from the absolute measured value in relation to the selected climate reference period. Anomalies for temperatures are strictly speaking given in Kelvin (here K = °C).
Record max: The absolute and maximum record value for the selected parameter and period. Example: Temperature average + year: you see the warmest year. Example: Ice days + February: you see the maximum number of ice days in a February.
Record min: The absolute and minimum record value for the selected parameter and period. Example: Precipitation sum + summer: you see the driest summer. Example: Ice days + February: you see the minimum number of ice days in a February.
Dev. record max: The deviation from the record maximum for the selected parameter and period. We have set this up additionally to identify new records early, especially in ongoing months and seasons. Example: Temperature average + seasonal values + 2018 + summer: you see how far summer 2018 was from the absolute record (warmest summer). If you see the value 0, it was the warmest summer. If you look at data for the current and ongoing summer, values above 0 can also occur. In that case it would be a new record at the current time.
Dev. record min: The deviation from the record minimum for the selected parameter and period. We have set this up additionally to identify new records early, especially in ongoing months and seasons. Example: Temperature average + seasonal values + 1962 + summer: you see how far summer 1962 was from the absolute record (coldest summer). If you see the value 0, it was the coldest summer. If you look at data for the current and ongoing summer, values below 0 can also occur. In that case it would be a new record at the current time.
Temperature AverageThe averaged temperature over the entire selected period.
Daily Maximum Temperature AverageThe averaged daily maximum temperature over the entire selected period. Here the daily maximum temperatures are averaged over the selected period. You can see and compare, for example via the "anomaly", whether the daily maximum temperatures have a positive or negative deviation. In simple terms, it was unusually mild or cold, especially during the day.
Daily Minimum Temperature AverageThe averaged daily minimum temperature over the entire selected period. Here the daily minimum temperatures are averaged over the selected period. You can see and compare, for example via the "anomaly", whether the daily minimum temperatures have a positive or negative deviation. In simple terms, it was unusually mild or cold, especially at night.
Precipitation SumThe accumulated precipitation over the entire selected period.
Sunshine Duration SumThe accumulated sunshine duration over the entire selected period at weather stations.
Satellite Sunshine Duration SumThe accumulated sunshine duration over the entire selected period. Since there are always few weather stations where sunshine duration is measured, the German Meteorological Service provides sunshine duration for numerous locations ("stations") that was not measured but determined using satellite images. For this, satellite observations from the Meteosat satellite (especially cloud/radiation information) are converted into algorithms into sunshine yes/no or minutes/hours of sunshine and checked/calibrated against ground measurements. From this area information, point values (where measurement stations are missing) can be extracted and provided as pseudo-measured values. This parameter is therefore not directly data determined by a weather station! The measurement duration of this still new product is very short, but we still wanted to provide an anomaly. Therefore, note: With the anomaly and for records, in this case historical, actual sunshine measurements from the weather stations are compared with the new satellite sunshine duration!
Summer DaysOn a summer day, the daily maximum temperature reaches or exceeds 25°C.
Heat DaysOn a heat day, the daily maximum temperature reaches or exceeds 30°C. A heat day is simultaneously also a summer day.
Tropical NightsIn a tropical night, the daily minimum temperature does not drop below 20°C.
Frost DaysOn a frost day, the daily minimum temperature drops below 0°C.
Ice DaysOn an ice day, the daily maximum temperature does not reach or exceed 0°C. An ice day is simultaneously also a frost day.
Rain Days > 1 mmOn a rain day with > 1 mm, the daily precipitation exceeds at least 1 mm.
Rain Days > 10 mmOn a rain day with > 10 mm, the daily precipitation exceeds at least 10 mm.
Snow Cover Days > 1 cmOn a snow cover day with > 1 cm, the snow depth measured at 6 UTC was at least 1 cm.
Growing Degree DaysThe so-called "growing degree days" is a special heat sum used to determine the sustained start of vegetation. To calculate the growing degree days, all positive daily mean temperatures since the beginning of the year are summed up. However, these are weighted by month: that is, in January the daily mean is multiplied by the factor 0.5, in February by 0.75. From March onwards, the full value is included. When the growing degree days reach the threshold of over 200°C, sustained vegetation growth has begun. In Central Europe, this determines the date for the start of field work. This is also referred to as the beginning of the agronomic spring, which often coincides with the beginning of forsythia flowering.
First ice day in 2nd half of yearShows the date of the first ice day of the "winter season". Usually earliest in autumn.
Last ice day in 1st half of yearShows the date of the last ice day of the "winter season". Usually latest in spring.
First frost day in 2nd half of yearShows the date of the first frost day of the "winter season". Usually earliest in autumn.
Last frost day in 1st half of yearShows the date of the last frost day of the "winter season". Usually latest in spring.
First summer dayShows the date of the first summer day of the year. Usually earliest in spring.
Last summer dayShows the date of the last summer day of the year. Usually latest in autumn.
First heat dayShows the date of the first heat day of the year. Usually earliest in late spring.
Last heat dayShows the date of the last heat day of the year. Usually latest in late summer.
First day with growing degree days > 200°CShows the day of the year when the growing degree days exceeded 200°C. When the growing degree days reach the threshold of over 200°C, sustained vegetation growth has begun.