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Data · collection · 2019

High resolution monthly precipitation and temperature timeseries for the period 2006-2100

Listed in NASA Earthdata CMR

Predicting future climatic conditions at high spatial resolution is essential for many applications in science.

Description

Here we present data for monthly time series of precipitation and minimum and maximum temperature for four downscaled global circulation models. We used model output statistics in combination with mechanistic downscaling (the CHELSA algorithm) to calculate mean monthly maximum and minimum temperatures, as well as monthly precipitation sums at ~5km spatial resolution globally for the years 1850-2100.

We validated the performance of the downscaling algorithm by comparing model output with observed climates for the years 1950-2069. CHELSA_cmip5_ts is licensed under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.

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Documentation and papers

Catalogue records · 2

Topics

Inferred from text
Climate change science 74%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
NASA Earthdata CMRC2789814811-ENVIDAT13 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NASA CMRconnector:nasa_cmr@1.0.0
concepts[field].anzsrc:group:3702enrichment · NASA CMRtaxonomy-embedding@1.1.0title+keywords+description (74%)
concepts[measured_variable].gcmd:earth-science/biosphere/ecological-dynamicssource · NASA CMRconnector:nasa_cmr@1.0.0
concepts[platform].gcmd_platform:not-providedsource · NASA CMRconnector:nasa_cmr@1.0.0
created_datesource · NASA CMRconnector:nasa_cmr@1.0.0
descriptionsource · NASA CMRconnector:nasa_cmr@1.0.0/umm/Abstract
license_textsource · NASA CMRconnector:nasa_cmr@1.0.0
publication_datesource · NASA CMRconnector:nasa_cmr@1.0.0
spatialsource · NASA CMRconnector:nasa_cmr@1.0.0/umm/SpatialExtent
titlesource · NASA CMRconnector:nasa_cmr@1.0.0/umm/EntryTitle
updated_datesource · NASA CMRconnector:nasa_cmr@1.0.0
version_labelsource · NASA CMRconnector:nasa_cmr@1.0.0