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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. Historical Climate Data The historical climate data in this dataset covers multiple periods: 1901-1930 1931-1960 1961-1990 1991-2020 These periods capture the changes in climate classifications over the 20th and early 21st centuries, providing a valuable baseline for understanding long-term climate trends. Future Climate Scenarios The 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: 2041-2070 2071-2099 The future scenarios include: Sustainability (ssp119 and ssp126): Low emissions scenarios assuming aggressive mitigation efforts. Middle of the Road (ssp245): Intermediate emissions scenario with moderate mitigation efforts. Regional Rivalry (ssp370): High emissions scenario with regional conflicts and uneven economic development. Inequality (ssp434 and ssp460): High emissions scenarios with significant socio-economic inequalities. Fossil-Fueled Development (ssp585): Very high emissions scenario with continued reliance on fossil fuels. Data Sources and Citation The 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
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. Historical Climate Data The historical climate data in this dataset covers multiple periods: 1901-1930 1931-1960 1961-1990 1991-2020 These periods capture the changes in climate classifications over the 20th and early 21st centuries, providing a valuable baseline for understanding long-term climate trends. Future Climate Scenarios The 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: 2041-2070 2071-2099 The future scenarios include: Sustainability (ssp119 and ssp126): Low emissions scenarios assuming aggressive mitigation efforts. Middle of the Road (ssp245): Intermediate emissions scenario with moderate mitigation efforts. Regional Rivalry (ssp370): High emissions scenario with regional conflicts and uneven economic development. Inequality (ssp434 and ssp460): High emissions scenarios with significant socio-economic inequalities. Fossil-Fueled Development (ssp585): Very high emissions scenario with continued reliance on fossil fuels. Data Sources and Citation The 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
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typeKeywords: ["ArcGIS","ArcGIS Server","Data","Map Service","Service"]
description:
licenseInfo:
catalogPath:
title: KoppenGeigerClimate
type: Map Service
url:
tags: ["Climate Data","Koppen-Geiger"]
culture: en-US
name: KoppenGeigerClimate
guid: DE4ADBE4-1923-4A70-80AA-DC8319E86244
minScale: 0
spatialReference: GCS_WGS_1984