variables: 819441

This table contains all the variables of all the datasets we have at Our World In Data. Note that this includes only the information about the variables like name and default display settings, not the data itself.

Data license: CC-BY

This data as json

id name unit description createdAt updatedAt code coverage timespan datasetId sourceId shortUnit display columnOrder originalMetadata grapherConfigAdmin shortName catalogPath dimensions schemaVersion processingLevel processingLog titlePublic titleVariant attributionShort attribution descriptionShort descriptionFromProducer descriptionKey descriptionProcessing licenses license grapherConfigETL type sort dataChecksum metadataChecksum
819441 1978 °C   2024-01-21 21:57:14 2024-07-17 12:26:46     1-12 6354   °C 
{
    "unit": "\u00b0C",
    "shortUnit": "\u00b0C",
    "numDecimalPlaces": 2
}
 0     _1978 grapher/climate/2023-12-20/surface_temperature_monthly/surface_temperature#_1978   2 major           The temperature of the air measured 2 meters above the ground, encompassing land, sea, and in-land water surfaces. Temperature of air at 2m above the surface of land, sea or in-land waters. 2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15. 
[]
 - Temperature measured in kelvin was converted to degrees Celsius (°C) by subtracting 273.15. - Initially, the temperature dataset is provided with specific coordinates in terms of longitude and latitude. To tailor this data to each country, we utilize geographical boundaries as defined by the World Bank. The method involves trimming the global temperature dataset to match the exact geographical shape of each country. To correct for potential distortions caused by the Earth's curvature on a flat map, we apply a latitude-based weighting. This step is essential for maintaining accuracy, especially in high-latitude regions where distortion is more pronounced. The result of this process is a latitude-weighted average temperature for each nation. - It's important to note, however, that due to the resolution constraints of the Copernicus dataset, this methodology might not be as effective for countries with very small landmasses. In these cases, the process may not yield reliable data. - The derived 2-meter temperature readings for each country are calculated based on administrative borders, encompassing all land surface types within these defined areas. As a result, temperatures over oceans and seas are not included in these averages, focusing the data primarily on terrestrial environments. - Global temperature averages and anomalies are calculated over all land and ocean surfaces.       float 
[]
 e7e70ddd8deaf9cf8bbd4a4ed3980213 0f6dcf0d576871d187d33dd337a1b13e

Links from other tables