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ZENODO
Software . 2023
Data sources: Datacite
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ZENODO
Software . 2023
Data sources: ZENODO
Claim

SongHanxiong/TRIPLEX-GHG-modelv2.0-N2O-rice-based

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 19 Feb 2023Publisher:Zenodo
Authors: SongHanxiong;
Code repository: https://github.com/SongHanxiong/TRIPLEX-GHG-model-N2O-cropland/tree/v1.0

doi: 10.5281/zenodo.7654741

SongHanxiong/TRIPLEX-GHG-modelv2.0-N2O-rice-based

Abstract

This is the third release. The new version of the TRIPLEX-GHG model v2.0 is a process-based biogeochemical model which has been utilized to simulate major ecological and environmental processes, focusing on the green-house gas emissions. For this version of the TRIPLEX-GHGv2.0, the model can provide a reasonable estimation of the nitrous oxide (N2O) emission flux from global rice-based ecosystems in daily time step under various management and environmental conditions. The model was calibrated and validated against observation results across the globe.

Keywords

nitrous oxide, greenhouse gases, process-based model, Fortran

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    popularity
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    influence
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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!
1
Average
Average
Average