Carbon and water cycle analysis across global permafrost domain ... : Model-data fusion based analysis of global terrestrial permafrost domain ...
The CARDAMOM model-data fusion (MDF) software was used to generate an analysis (0.5x0.5 degree, 2001-2019, monthly time step) of the carbon (C) and water (H2O) cycles across the global terrestrial permafrost regions. CARDAMOM used time series information on leaf area index, total woody biomass, net...
Main Authors: | , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
University of Edinburgh. School of GeoSciences. Global Change Institute
2023
|
Subjects: | |
Online Access: | https://dx.doi.org/10.7488/ds/7505 https://datashare.ed.ac.uk/handle/10283/8522 |
id |
ftdatacite:10.7488/ds/7505 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.7488/ds/7505 2023-10-01T03:58:48+02:00 Carbon and water cycle analysis across global permafrost domain ... : Model-data fusion based analysis of global terrestrial permafrost domain ... Smallman, Thomas Luke Williams, Mathew 2023 https://dx.doi.org/10.7488/ds/7505 https://datashare.ed.ac.uk/handle/10283/8522 en eng University of Edinburgh. School of GeoSciences. Global Change Institute Creative Commons Attribution 4.0 International Public License Model-data fusion Permafrost carbon cycle ecosystem modelling Physical SciencesEnvironmental Sciences Dataset dataset 2023 ftdatacite https://doi.org/10.7488/ds/7505 2023-09-04T14:48:51Z The CARDAMOM model-data fusion (MDF) software was used to generate an analysis (0.5x0.5 degree, 2001-2019, monthly time step) of the carbon (C) and water (H2O) cycles across the global terrestrial permafrost regions. CARDAMOM used time series information on leaf area index, total woody biomass, net biome exchange of CO2 and a prior in the initial value of soil C stocks, to train an intermediate complexity model of the terrestrial ecosystem (DALEC4). CARDAMOM retrieves ensembles of parameters are estimates for DALEC4 uniquely for each pixel within the analysis domain, from these ensembles the uncertainty associated with analysis can be directly quantified. Permafrost domain defined under the RECCAP2 definition (https://www.globalcarbonproject.org/reccap/, accessed 22/08/2023). The analysis output includes uncertainty bounded estimates of ecosystem gross fluxes (e.g. photosynthesis, plant respiration, decomposition and fire), C stocks (labile, foliage, wood, fine roots, litter and soil) and their internal ... : Metadata for the variables provided are given in the netcdf files. This includes the complete geographic extent and temporal coverage and variable definitions. ... Dataset permafrost DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Model-data fusion Permafrost carbon cycle ecosystem modelling Physical SciencesEnvironmental Sciences |
spellingShingle |
Model-data fusion Permafrost carbon cycle ecosystem modelling Physical SciencesEnvironmental Sciences Smallman, Thomas Luke Williams, Mathew Carbon and water cycle analysis across global permafrost domain ... : Model-data fusion based analysis of global terrestrial permafrost domain ... |
topic_facet |
Model-data fusion Permafrost carbon cycle ecosystem modelling Physical SciencesEnvironmental Sciences |
description |
The CARDAMOM model-data fusion (MDF) software was used to generate an analysis (0.5x0.5 degree, 2001-2019, monthly time step) of the carbon (C) and water (H2O) cycles across the global terrestrial permafrost regions. CARDAMOM used time series information on leaf area index, total woody biomass, net biome exchange of CO2 and a prior in the initial value of soil C stocks, to train an intermediate complexity model of the terrestrial ecosystem (DALEC4). CARDAMOM retrieves ensembles of parameters are estimates for DALEC4 uniquely for each pixel within the analysis domain, from these ensembles the uncertainty associated with analysis can be directly quantified. Permafrost domain defined under the RECCAP2 definition (https://www.globalcarbonproject.org/reccap/, accessed 22/08/2023). The analysis output includes uncertainty bounded estimates of ecosystem gross fluxes (e.g. photosynthesis, plant respiration, decomposition and fire), C stocks (labile, foliage, wood, fine roots, litter and soil) and their internal ... : Metadata for the variables provided are given in the netcdf files. This includes the complete geographic extent and temporal coverage and variable definitions. ... |
format |
Dataset |
author |
Smallman, Thomas Luke Williams, Mathew |
author_facet |
Smallman, Thomas Luke Williams, Mathew |
author_sort |
Smallman, Thomas Luke |
title |
Carbon and water cycle analysis across global permafrost domain ... : Model-data fusion based analysis of global terrestrial permafrost domain ... |
title_short |
Carbon and water cycle analysis across global permafrost domain ... : Model-data fusion based analysis of global terrestrial permafrost domain ... |
title_full |
Carbon and water cycle analysis across global permafrost domain ... : Model-data fusion based analysis of global terrestrial permafrost domain ... |
title_fullStr |
Carbon and water cycle analysis across global permafrost domain ... : Model-data fusion based analysis of global terrestrial permafrost domain ... |
title_full_unstemmed |
Carbon and water cycle analysis across global permafrost domain ... : Model-data fusion based analysis of global terrestrial permafrost domain ... |
title_sort |
carbon and water cycle analysis across global permafrost domain ... : model-data fusion based analysis of global terrestrial permafrost domain ... |
publisher |
University of Edinburgh. School of GeoSciences. Global Change Institute |
publishDate |
2023 |
url |
https://dx.doi.org/10.7488/ds/7505 https://datashare.ed.ac.uk/handle/10283/8522 |
genre |
permafrost |
genre_facet |
permafrost |
op_rights |
Creative Commons Attribution 4.0 International Public License |
op_doi |
https://doi.org/10.7488/ds/7505 |
_version_ |
1778531970924412928 |