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A new global dataset of bioclimatic indicators

Authors :
Noce, Sergio
Caporaso, Luca
Santini, Monia
Source :
Scientific Data, Scientific Data, Vol 7, Iss 1, Pp 1-12 (2020)
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

This study presents a new global gridded dataset of bioclimatic indicators at 0.5° by 0.5° resolution for historical and future conditions. The dataset, called CMCC-BioClimInd, provides a set of 35 bioclimatic indices, expressed as mean values over each time interval, derived from post-processing both climate reanalysis for historical period (1960–1999) and an ensemble of 11 bias corrected CMIP5 simulations under two greenhouse gas concentration scenarios for future climate projections along two periods (2040–2079 and 2060–2099). This new dataset complements the availability of spatialized bioclimatic information, crucial aspect in many ecological and environmental wide scale applications and for several disciplines, including forestry, biodiversity conservation, plant and landscape ecology. The data of individual indicators are publicly available for download in the commonly used Network Common Data Form 4 (NetCDF4) format.<br />Measurement(s) bioclimatic indicators Technology Type(s) Geographic Information System • computational modeling technique Factor Type(s) temporal interval • geographic location Sample Characteristic - Environment climate system Sample Characteristic - Location global Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12927443

Details

ISSN :
20524463
Volume :
7
Database :
OpenAIRE
Journal :
Scientific Data
Accession number :
edsair.doi.dedup.....0f788ec4232470b384bda7f0f2b69625