Sweden climate and weather data
+ Follow new data2 datasets about climate and weather in Sweden.
The International Best Track Archive for Climate Stewardship (IBTrACS) project is the most complete global collection of tropical cyclones available. It merges recent and historical tropical cyclone data from multiple agencies to create a unified, publicly available, best-track dataset that improves inter-agency comparisons. Fields available: SID: A unique storm identifier (SID) assigned by IBTrACS algorithm. ISO_TIME: Time of the observation in ISO format (YYYY-MM-DD hh:mm:ss) BASIN: Basin of the current storm position SUBBASIN: Sub-basin of the current storm position NATURE: Type of storm (a combination of the various types from the available sources) NUMBER: Number of the storm for the year (restarts at 1 for each year LAT: Mean position - latitude (a combination of the available positions) LON: Mean position - longitude (a combination of the available positions) WMO_WIND: Maximum sustained wind speed assigned by the responsible WMO agency WMO_PRES: Minimum central pressure assigned by the responsible WMO agency.
The city of Malmö measures water temperatures in the sea at a number of bathing areas. The measurements are made with temperature sensors that are placed close to the surface (optimally at a depth of about 50 cm) some 50 meters from land. The sensors normally report the temperature a number of times per hour and the average value per hour is what is published in this dataset. Incorrect measurement values are uncommon but can occur if sensor operation is disrupted. The resources consist of GeoJSON files (Locations YYYY-MM.geojson) that show the sensors that have been active and their approximate location on a monthly basis. Corresponding measurement values per month are available in CSV files (Water Temperatures YYYY-MM.csv). Measurement value files follow FIWARE's specification for WaterQualityObserved . **Attributes Locations** * `id` [sensor identity] * `address` [sensor location (text)] * `geometry` [approximate position of the sensor, type: Polygon, CRS: WGS84] **Attributes Water temperatures** * `type` [always "WaterQualityObserved"] * `id` [sensor identity] * `address` [sensor location (text)] * `dateObserved` [date and time (ISO 8601 format) when the measurement value was reported] * `temperature` [measured temperature in degrees Celsius]