{
 "culture": "en-US",
 "name": "KoppenGeigerClimate",
 "guid": "DE4ADBE4-1923-4A70-80AA-DC8319E86244",
 "catalogPath": "",
 "snippet": "The Köppen-Geiger climate classification system is one of the most widely used climate classification systems. It categorizes the world's climates based on temperature, precipitation, and their seasonal patterns. This dataset provides high-resolution (1 km) maps of climate classifications for historical periods and future climate scenarios.\n\nHistorical Climate Data\n\nThe historical climate data in this dataset covers multiple periods:\n\n    1901-1930\n    1931-1960\n    1961-1990\n    1991-2020\n\nThese periods capture the changes in climate classifications over the 20th and early 21st centuries, providing a valuable baseline for understanding long-term climate trends.\nFuture Climate Scenarios\n\nThe dataset also includes future climate projections based on various Shared Socioeconomic Pathways (SSPs), which are scenarios used in climate modeling to describe different possible futures based on varying levels of greenhouse gas emissions, societal development, and mitigation efforts. The periods covered include:\n\n    2041-2070\n    2071-2099\n\nThe future scenarios include:\n\n    Sustainability (ssp119 and ssp126): Low emissions scenarios assuming aggressive mitigation efforts.\n    Middle of the Road (ssp245): Intermediate emissions scenario with moderate mitigation efforts.\n    Regional Rivalry (ssp370): High emissions scenario with regional conflicts and uneven economic development.\n    Inequality (ssp434 and ssp460): High emissions scenarios with significant socio-economic inequalities.\n    Fossil-Fueled Development (ssp585): Very high emissions scenario with continued reliance on fossil fuels.\n\nData Sources and Citation\n\nThe climate data is derived from the CMIP6 projections, which are a set of climate models used to simulate past, present, and future climate conditions. The high-resolution (1 km) maps are created to provide detailed spatial information on climate classifications, making them useful for regional and local climate studi",
 "description": "",
 "summary": "The Köppen-Geiger climate classification system is one of the most widely used climate classification systems. It categorizes the world's climates based on temperature, precipitation, and their seasonal patterns. This dataset provides high-resolution (1 km) maps of climate classifications for historical periods and future climate scenarios.\n\nHistorical Climate Data\n\nThe historical climate data in this dataset covers multiple periods:\n\n    1901-1930\n    1931-1960\n    1961-1990\n    1991-2020\n\nThese periods capture the changes in climate classifications over the 20th and early 21st centuries, providing a valuable baseline for understanding long-term climate trends.\nFuture Climate Scenarios\n\nThe dataset also includes future climate projections based on various Shared Socioeconomic Pathways (SSPs), which are scenarios used in climate modeling to describe different possible futures based on varying levels of greenhouse gas emissions, societal development, and mitigation efforts. The periods covered include:\n\n    2041-2070\n    2071-2099\n\nThe future scenarios include:\n\n    Sustainability (ssp119 and ssp126): Low emissions scenarios assuming aggressive mitigation efforts.\n    Middle of the Road (ssp245): Intermediate emissions scenario with moderate mitigation efforts.\n    Regional Rivalry (ssp370): High emissions scenario with regional conflicts and uneven economic development.\n    Inequality (ssp434 and ssp460): High emissions scenarios with significant socio-economic inequalities.\n    Fossil-Fueled Development (ssp585): Very high emissions scenario with continued reliance on fossil fuels.\n\nData Sources and Citation\n\nThe climate data is derived from the CMIP6 projections, which are a set of climate models used to simulate past, present, and future climate conditions. The high-resolution (1 km) maps are created to provide detailed spatial information on climate classifications, making them useful for regional and local climate studi",
 "title": "KoppenGeigerClimate",
 "tags": [
  "Climate Data",
  "Koppen-Geiger"
 ],
 "type": "Map Service",
 "typeKeywords": [
  "ArcGIS",
  "ArcGIS Server",
  "Data",
  "Map Service",
  "Service"
 ],
 "thumbnail": "thumbnail/thumbnail.png",
 "url": "",
 "extent": [
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   -90
  ],
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  ]
 ],
 "minScale": 0,
 "maxScale": 1.7976931348623157E308,
 "spatialReference": "GCS_WGS_1984",
 "accessInformation": "",
 "licenseInfo": ""
}