CARDAMOM panarctic retrievals 2000-2015

The panarctic CARDAMOM outputs are derived from 1°x1° degree model-data fusion (MDF) analysis for 2000-2015. In each pixel, the DALEC2 ecosystem model is constrained by MODIS Leaf Area Index, Northern Circumpolar Soil Carbon Database (Hugelius et al., 2013) and biomass estimates (Carvalhais et al.,...

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Main Author: Unkn Unknown
Format: Article in Journal/Newspaper
Language:English
Published: National Centre for Earth Observation and School of GeoSciences. University of Edinburgh 2018
Subjects:
Online Access:https://dx.doi.org/10.7488/ds/2334
https://datashare.ed.ac.uk/handle/10283/3057
id ftdatacite:10.7488/ds/2334
record_format openpolar
spelling ftdatacite:10.7488/ds/2334 2023-05-15T17:58:12+02:00 CARDAMOM panarctic retrievals 2000-2015 Unkn Unknown 2018 https://dx.doi.org/10.7488/ds/2334 https://datashare.ed.ac.uk/handle/10283/3057 en eng National Centre for Earth Observation and School of GeoSciences. University of Edinburgh Creative Commons Attribution 4.0 International Public License CC-BY carbon cycle DALEC2 ecosystem model CreativeWork article 2018 ftdatacite https://doi.org/10.7488/ds/2334 2021-11-05T12:55:41Z The panarctic CARDAMOM outputs are derived from 1°x1° degree model-data fusion (MDF) analysis for 2000-2015. In each pixel, the DALEC2 ecosystem model is constrained by MODIS Leaf Area Index, Northern Circumpolar Soil Carbon Database (Hugelius et al., 2013) and biomass estimates (Carvalhais et al., 2014) using a Monte-Carlo Markov Chain (MDF) method. DALEC2 and the MDF approach are described in Bloom and Williams (2015) and Bloom et al. (2016). This dataset includes four netCDF files which report pixel-wise mean annual land-atmosphere carbon fluxes, carbon allocation to plant parts, vegetation and dead organic matter carbon pool sizes and transit times. Files include the pixel-wise uncertainty by reporting the median value as well as bounds of the 95%, 90% and 50% confidence intervals. References - Bloom, A. A., Exbrayat, J.-F., van der Velde, I. R., Feng, L., & Williams, M. (2016). The decadal state of the terrestrial carbon cycle: Global retrievals of terrestrial carbon allocation, pools, and residence times. Proceedings of the National Academy of Sciences, 113(5), 1285–1290. https://doi.org/10.1073/pnas.1515160113 - Bloom, A. A., & Williams, M. (2015). Constraining ecosystem carbon dynamics in a data-limited world: integrating ecological “common sense” in a model–data fusion framework. Biogeosciences, 12(5), 1299–1315. https://doi.org/10.5194/bg-12-1299-2015 - Carvalhais, N., Forkel, M., Khomik, M., Bellarby, J., Jung, M., Migliavacca, M., … Reichstein, M. (2014). Global covariation of carbon turnover times with climate in terrestrial ecosystems. Nature, 514(7521), 213–217. https://doi.org/10.1038/nature13731 - Hugelius, G., Tarnocai, C., Broll, G., Canadell, J. G., Kuhry, P., & Swanson, D. K. (2013). The Northern Circumpolar Soil Carbon Database: spatially distributed datasets of soil coverage and soil carbon storage in the northern permafrost regions. Earth System Science Data, 5(1), 3–13. https://doi.org/10.5194/essd-5-3-2013 Article in Journal/Newspaper 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 carbon cycle
DALEC2 ecosystem model
spellingShingle carbon cycle
DALEC2 ecosystem model
Unkn Unknown
CARDAMOM panarctic retrievals 2000-2015
topic_facet carbon cycle
DALEC2 ecosystem model
description The panarctic CARDAMOM outputs are derived from 1°x1° degree model-data fusion (MDF) analysis for 2000-2015. In each pixel, the DALEC2 ecosystem model is constrained by MODIS Leaf Area Index, Northern Circumpolar Soil Carbon Database (Hugelius et al., 2013) and biomass estimates (Carvalhais et al., 2014) using a Monte-Carlo Markov Chain (MDF) method. DALEC2 and the MDF approach are described in Bloom and Williams (2015) and Bloom et al. (2016). This dataset includes four netCDF files which report pixel-wise mean annual land-atmosphere carbon fluxes, carbon allocation to plant parts, vegetation and dead organic matter carbon pool sizes and transit times. Files include the pixel-wise uncertainty by reporting the median value as well as bounds of the 95%, 90% and 50% confidence intervals. References - Bloom, A. A., Exbrayat, J.-F., van der Velde, I. R., Feng, L., & Williams, M. (2016). The decadal state of the terrestrial carbon cycle: Global retrievals of terrestrial carbon allocation, pools, and residence times. Proceedings of the National Academy of Sciences, 113(5), 1285–1290. https://doi.org/10.1073/pnas.1515160113 - Bloom, A. A., & Williams, M. (2015). Constraining ecosystem carbon dynamics in a data-limited world: integrating ecological “common sense” in a model–data fusion framework. Biogeosciences, 12(5), 1299–1315. https://doi.org/10.5194/bg-12-1299-2015 - Carvalhais, N., Forkel, M., Khomik, M., Bellarby, J., Jung, M., Migliavacca, M., … Reichstein, M. (2014). Global covariation of carbon turnover times with climate in terrestrial ecosystems. Nature, 514(7521), 213–217. https://doi.org/10.1038/nature13731 - Hugelius, G., Tarnocai, C., Broll, G., Canadell, J. G., Kuhry, P., & Swanson, D. K. (2013). The Northern Circumpolar Soil Carbon Database: spatially distributed datasets of soil coverage and soil carbon storage in the northern permafrost regions. Earth System Science Data, 5(1), 3–13. https://doi.org/10.5194/essd-5-3-2013
format Article in Journal/Newspaper
author Unkn Unknown
author_facet Unkn Unknown
author_sort Unkn Unknown
title CARDAMOM panarctic retrievals 2000-2015
title_short CARDAMOM panarctic retrievals 2000-2015
title_full CARDAMOM panarctic retrievals 2000-2015
title_fullStr CARDAMOM panarctic retrievals 2000-2015
title_full_unstemmed CARDAMOM panarctic retrievals 2000-2015
title_sort cardamom panarctic retrievals 2000-2015
publisher National Centre for Earth Observation and School of GeoSciences. University of Edinburgh
publishDate 2018
url https://dx.doi.org/10.7488/ds/2334
https://datashare.ed.ac.uk/handle/10283/3057
genre permafrost
genre_facet permafrost
op_rights Creative Commons Attribution 4.0 International Public License
op_rightsnorm CC-BY
op_doi https://doi.org/10.7488/ds/2334
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