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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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INLAND DVGM output - SSP1-RCP2.6 and SSP3-RCP8.5

Authors: Castro, Aline Anderson de; von Randow, Celso; von Randow, Rita de Cássia Silva; Bezerra, Francisco Gilney Silva;

INLAND DVGM output - SSP1-RCP2.6 and SSP3-RCP8.5

Abstract

We used the INLAND DGVM model to simulate the water and carbon cycle in the present climate and also under two different CC and LUC scenarios. To stabilize the carbon and water stocks, we used a 500-years spin up run, with dynamic vegetation, performed with historical data from CRU-JRA (Climatic Research Unit and Japanese reanalysis - detailed by Harris, 2019). After that, we started the two different scenario and recorded the model outputs from 2016 to 2095 (80 years), in a 0.5 X 0.5 degrees grid (latitude AND longitude). The meteorological forcing and CO2 concentration are taken from HADGEM2-ES (Collins et al., 2011), from ISIMIP[1] Project (Inter-Sectorial Impact Model Intercomparison Project), from 2b Repository (https://data.isimip.org/), described at Frieler et al., 2017. We choose to use the Bias corrected data. As input of land use and land cover maps, we used the refined regional scenarios provided by (Bezerra et al., 2022), data available at https://zenodo.org/record/5123560#.YVJFzzlv80M (Bezerra et al., 2021), [1] https://www.isimip.org/documents/564/ISIMIP2b_protocol_210131_noEnergy_IV_JS-1_IV_pmp-1.pdf

Keywords

Climate change, Brazilian biomes, land use change, future scenarios

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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