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Population
Population data were estimated by integrating census data with satellite-derived and geospatial information. Population density was modeled using weighting factors based on land cover, night-time lights, and infrastructure variables, and census population counts were subsequently redistributed across space according to the predicted density.
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Population density
Population density. Units: persons/km**2
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Population distribution (GHSL) 2020
The GHS-POP depicts the distribution of human population, expressed as the number of people per cell. Residential population are derived from the raw global census data harmonized by CIESIN for the Gridded Population of the World, version 4.11 (GPWv4.11) at polygon level, and disaggregated from census or administrative units to grid cells, informed by the distribution, classification and density of built-up as mapped in the GHSL global layers.
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Population distribution (HRSL-GSHL) 2018
Population density map for 2018 at 30arcsec resolution.
The layer integrates data from the High Resolution Settlement Layer (HRSL) - META (originally Facebook), the Global Human Settlement Layer (GHSL) - JRC, and the national population count for 2018 reported on the World Population Prospects 2019.
Using the country borders (level 0) of the UN Cartographic Section 2020 (BNDA_CTY), countries with full data coverage from HRSL use it. Countries with missing or partial coverage from HRSL use GHSL.
Both the original layers of HRSL and GHSL were, first, recalculated at 30arcsec resolution (~1km) through an aggregation process (sum) and, then, integrated into one single layer. Pixel counts were then recalculated for 2018 based on the country population data reported for 2018 by the World Population Prospects 2019. Read More
The layer integrates data from the High Resolution Settlement Layer (HRSL) - META (originally Facebook), the Global Human Settlement Layer (GHSL) - JRC, and the national population count for 2018 reported on the World Population Prospects 2019.
Using the country borders (level 0) of the UN Cartographic Section 2020 (BNDA_CTY), countries with full data coverage from HRSL use it. Countries with missing or partial coverage from HRSL use GHSL.
Both the original layers of HRSL and GHSL were, first, recalculated at 30arcsec resolution (~1km) through an aggregation process (sum) and, then, integrated into one single layer. Pixel counts were then recalculated for 2018 based on the country population data reported for 2018 by the World Population Prospects 2019. Read More
Potential Evapotranspiration (PET)
The amount of water that could be evaporated and transpired by vegetation if there is no shortage of water. It reflects how much moisture the atmosphere can demand and is important in assessing drought and water balance.
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Regional Climate Monitoring, Assessment and Prediction for Asia (FOCRAII)
a regional climate forum focused on seasonal to inter-annual climate prediction in Asia. It serves as a review of the limitations and prospects for seasonal to inter-annual climate prediction methodologies and systems, and serves as a platform to share Asian climate prediction products and experiences in the region.
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Representative Concentration Pathways (RCP)
climate change scenarios to project future greenhouse gas concentrations.These pathways (or trajectories) describe future greenhouse gas concentrations (not emissions) and have been formally adopted by the IPCC. The four RCPs – originally RCP2.6, RCP4.5, RCP6, and RCP8.5 – are labelled after the expected changes in radiative forcing values from the year 1750 to the year 2100 (2.6, 4.5, 6, and 8.5 W/m2, respectively).
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Sea Level Rise
A long-term increase in the average level of the world's oceans caused primarily by thermal expansion of seawater as it warms and by the addition of water from melting glaciers and ice sheets. Sea level rise increases the risk of coastal flooding, erosion, and saltwater intrusion.
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Sea level rise (SLR)
Total sea level rise (SLR)
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Sea Surface Temp. Change (°C)
The change in sea surface temperature over time relative to a baseline period, usually expressed in degrees Celsius. It is used to assess ocean warming and related impacts on marine ecosystems, coral reefs, weather patterns, and coastal environments.
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