temperaturkartor

Temperaturkartor are graphical representations of spatial temperature distribution across a region or globally. They depict either air temperature at a standard height above ground (commonly 2 m) or surface temperatures. Values are shown with color gradients or contour lines called isotherms, enabling quick assessment of heat patterns, gradients, and fronts.

Data sources include ground-based weather stations, ships and buoys, radiosondes, and satellite observations. Because observations are unevenly distributed, various interpolation and gridding methods, such as inverse distance weighting or kriging, are applied to create continuous maps. Modern maps may also come from numerical weather prediction outputs or reanalysis datasets, which assimilate multiple data streams.

Typical map types include near-surface air temperature maps, sea surface temperature maps, and land surface temperature maps derived from thermal infrared satellite data. Temporal resolution ranges from real-time or hourly updates to daily, monthly, or seasonal climatologies. Maps can be static or animated to show changes over time.

Applications span weather forecasting, climate monitoring, agriculture and horticulture, energy demand planning, and public health (e.g., heat-wave forecasts). They are also used in urban planning to assess heat islands and in scientific research to study climate variability and extremes.

Limitations include spatial sparsity of observations, biases among sensors, cloud cover affecting satellite retrievals, and uncertainties in interpolation and model-based products. Overall, temperaturkartor provide a concise, intuitive overview of how temperature varies across space and time, supporting decision-making and scientific analysis.