Data from: MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling
Species Distribution Models (SDMs) combine information on the geographic occurrence of species with environmental layers to estimate distributional ranges and have been extensively implemented to answer a wide array of applied ecological questions. Unfortunately, most global datasets available to pa...
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ftdryad:oai:v1.datadryad.org:10255/dryad.120152 2023-05-15T13:31:23+02:00 Data from: MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling Vega, Greta C. Pertierra, Luis R. Olalla-Tárraga, Miguel Ángel Global 2017-06-15T17:15:29Z http://hdl.handle.net/10255/dryad.120152 https://doi.org/10.5061/dryad.s2v81.1 unknown doi:10.5061/dryad.s2v81.1/1.1 doi:10.5061/dryad.s2v81.1/2.1 doi:10.5061/dryad.s2v81.1/3.1 doi:10.5061/dryad.s2v81.1/4.1 doi:10.5061/dryad.s2v81.1/5.1 doi:10.5061/dryad.s2v81.1/6.1 doi:10.5061/dryad.s2v81.1/7.1 doi:10.5061/dryad.s2v81.1/8.1 doi:10.5061/dryad.s2v81.1/9.1 doi:10.5061/dryad.s2v81.1/10.1 doi:10.5061/dryad.s2v81.1/11.1 doi:10.5061/dryad.s2v81.1/12.1 doi:10.5061/dryad.s2v81.1/13.1 doi:10.5061/dryad.s2v81.1/14.1 doi:10.5061/dryad.s2v81.1/15.1 doi:10.5061/dryad.s2v81.1/16.1 doi:10.5061/dryad.s2v81.1/17.1 doi:10.5061/dryad.s2v81.1/18.1 doi:10.5061/dryad.s2v81.1/19.1 doi:10.5061/dryad.s2v81.1/20.1 doi:10.5061/dryad.s2v81.1/21.1 doi:10.5061/dryad.s2v81.1/22.1 doi:10.5061/dryad.s2v81.1/23.1 doi:10.5061/dryad.s2v81.1/24.1 doi:10.5061/dryad.s2v81.1/25.1 doi:10.5061/dryad.s2v81.1/26.1 doi:10.5061/dryad.s2v81.1/27.1 doi:10.1038/sdata.2017.78 doi:10.5061/dryad.s2v81.1 Vega GC, Pertierra LR, Olalla-Tárraga MÁ (2017) MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling. Scientific Data 4: 170078. 2052-4463 http://hdl.handle.net/10255/dryad.120152 bioclimatic MERRAclim macroecology biogeography Article 2017 ftdryad https://doi.org/10.5061/dryad.s2v81.1 https://doi.org/10.5061/dryad.s2v81.1/1.1 https://doi.org/10.5061/dryad.s2v81.1/2.1 https://doi.org/10.5061/dryad.s2v81.1/3.1 https://doi.org/10.5061/dryad.s2v81.1/4.1 https://doi.org/10.5061/dryad.s2v81.1/5 2020-01-01T15:37:04Z Species Distribution Models (SDMs) combine information on the geographic occurrence of species with environmental layers to estimate distributional ranges and have been extensively implemented to answer a wide array of applied ecological questions. Unfortunately, most global datasets available to parameterize SDMs consist of spatially interpolated climate surfaces obtained from ground weather station data and have omitted the Antarctic continent, a landmass covering c. 20% of the Southern Hemisphere and increasingly showing biological effects of global change. Here we introduce MERRAclim, a global set of satellite-based bioclimatic variables including Antarctica for the first time. MERRAclim consists of three datasets of 19 bioclimatic variables that have been built for each of the last three decades (1980s, 1990s and 2000s) using hourly data of 2m temperature and specific humidity. We provide MERRAclim at three spatial resolutions (10 arc-minutes, 5 arc-minutes and 2.5 arc-minutes). These reanalysed data are comparable to widely used datasets based on ground station interpolations, but allow extending their geographical reach and SDM building in previously uncovered regions of the globe. Article in Journal/Newspaper Antarc* Antarctic Antarctica Dryad Digital Repository (Duke University) Antarctic The Antarctic |
institution |
Open Polar |
collection |
Dryad Digital Repository (Duke University) |
op_collection_id |
ftdryad |
language |
unknown |
topic |
bioclimatic MERRAclim macroecology biogeography |
spellingShingle |
bioclimatic MERRAclim macroecology biogeography Vega, Greta C. Pertierra, Luis R. Olalla-Tárraga, Miguel Ángel Data from: MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling |
topic_facet |
bioclimatic MERRAclim macroecology biogeography |
description |
Species Distribution Models (SDMs) combine information on the geographic occurrence of species with environmental layers to estimate distributional ranges and have been extensively implemented to answer a wide array of applied ecological questions. Unfortunately, most global datasets available to parameterize SDMs consist of spatially interpolated climate surfaces obtained from ground weather station data and have omitted the Antarctic continent, a landmass covering c. 20% of the Southern Hemisphere and increasingly showing biological effects of global change. Here we introduce MERRAclim, a global set of satellite-based bioclimatic variables including Antarctica for the first time. MERRAclim consists of three datasets of 19 bioclimatic variables that have been built for each of the last three decades (1980s, 1990s and 2000s) using hourly data of 2m temperature and specific humidity. We provide MERRAclim at three spatial resolutions (10 arc-minutes, 5 arc-minutes and 2.5 arc-minutes). These reanalysed data are comparable to widely used datasets based on ground station interpolations, but allow extending their geographical reach and SDM building in previously uncovered regions of the globe. |
format |
Article in Journal/Newspaper |
author |
Vega, Greta C. Pertierra, Luis R. Olalla-Tárraga, Miguel Ángel |
author_facet |
Vega, Greta C. Pertierra, Luis R. Olalla-Tárraga, Miguel Ángel |
author_sort |
Vega, Greta C. |
title |
Data from: MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling |
title_short |
Data from: MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling |
title_full |
Data from: MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling |
title_fullStr |
Data from: MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling |
title_full_unstemmed |
Data from: MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling |
title_sort |
data from: merraclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling |
publishDate |
2017 |
url |
http://hdl.handle.net/10255/dryad.120152 https://doi.org/10.5061/dryad.s2v81.1 |
op_coverage |
Global |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Antarctica |
genre_facet |
Antarc* Antarctic Antarctica |
op_relation |
doi:10.5061/dryad.s2v81.1/1.1 doi:10.5061/dryad.s2v81.1/2.1 doi:10.5061/dryad.s2v81.1/3.1 doi:10.5061/dryad.s2v81.1/4.1 doi:10.5061/dryad.s2v81.1/5.1 doi:10.5061/dryad.s2v81.1/6.1 doi:10.5061/dryad.s2v81.1/7.1 doi:10.5061/dryad.s2v81.1/8.1 doi:10.5061/dryad.s2v81.1/9.1 doi:10.5061/dryad.s2v81.1/10.1 doi:10.5061/dryad.s2v81.1/11.1 doi:10.5061/dryad.s2v81.1/12.1 doi:10.5061/dryad.s2v81.1/13.1 doi:10.5061/dryad.s2v81.1/14.1 doi:10.5061/dryad.s2v81.1/15.1 doi:10.5061/dryad.s2v81.1/16.1 doi:10.5061/dryad.s2v81.1/17.1 doi:10.5061/dryad.s2v81.1/18.1 doi:10.5061/dryad.s2v81.1/19.1 doi:10.5061/dryad.s2v81.1/20.1 doi:10.5061/dryad.s2v81.1/21.1 doi:10.5061/dryad.s2v81.1/22.1 doi:10.5061/dryad.s2v81.1/23.1 doi:10.5061/dryad.s2v81.1/24.1 doi:10.5061/dryad.s2v81.1/25.1 doi:10.5061/dryad.s2v81.1/26.1 doi:10.5061/dryad.s2v81.1/27.1 doi:10.1038/sdata.2017.78 doi:10.5061/dryad.s2v81.1 Vega GC, Pertierra LR, Olalla-Tárraga MÁ (2017) MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling. Scientific Data 4: 170078. 2052-4463 http://hdl.handle.net/10255/dryad.120152 |
op_doi |
https://doi.org/10.5061/dryad.s2v81.1 https://doi.org/10.5061/dryad.s2v81.1/1.1 https://doi.org/10.5061/dryad.s2v81.1/2.1 https://doi.org/10.5061/dryad.s2v81.1/3.1 https://doi.org/10.5061/dryad.s2v81.1/4.1 https://doi.org/10.5061/dryad.s2v81.1/5 |
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1766017836730286080 |