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Title: The North American Carbon Program Multi-scale Synthesis and Terrestrial Model Intercomparison Project – Part 2: Environmental driver data

Abstract

Ecosystems are important and dynamic components of the global carbon cycle, and terrestrial biospheric models (TBMs) are crucial tools in further understanding of how terrestrial carbon is stored and exchanged with the atmosphere across a variety of spatial and temporal scales. Improving TBM skills, and quantifying and reducing their estimation uncertainties, pose significant challenges. The Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP) is a formal multi-scale and multi-model intercomparison effort set up to tackle these challenges. The MsTMIP protocol prescribes standardized environmental driver data that are shared among model teams to facilitate model model and model observation comparisons. In this article, we describe the global and North American environmental driver data sets prepared for the MsTMIP activity to both support their use in MsTMIP and make these data, along with the processes used in selecting/processing these data, accessible to a broader audience. Based on project needs and lessons learned from past model intercomparison activities, we compiled climate, atmospheric CO2 concentrations, nitrogen deposition, land use and land cover change (LULCC), C3 / C4 grasses fractions, major crops, phenology and soil data into a standard format for global (0.5⁰ x 0.5⁰ resolution) and regional (North American: 0.25⁰ x 0.25⁰ resolution) simulations.more » In order to meet the needs of MsTMIP, improvements were made to several of the original environmental data sets, by improving the quality, and/or changing their spatial and temporal coverage, and resolution. The resulting standardized model driver data sets are being used by over 20 different models participating in MsTMIP. Lastly, the data are archived at the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC, http://daac.ornl.gov) to provide long-term data management and distribution.« less

Authors:
 [1];  [1];  [2];  [3];  [4];  [1];  [2];  [5];  [6];  [7];  [7];  [1];  [1];  [1];  [1]
+ Show Author Affiliations
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Northern Arizona Univ., Flagstaff, AZ (United States)
  3. Carnegie Inst. of Science, Stanford, CA (United States)
  4. National Centre for Scientific Research (CNRS), Paris (France)
  5. Univ. of Colorado, Boulder, CO (United States)
  6. National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States). Earth System Research Lab.
  7. Auburn Univ., AL (United States)
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1286833
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Geoscientific Model Development (Online)
Additional Journal Information:
Journal Name: Geoscientific Model Development (Online); Journal Volume: 7; Journal Issue: 6; Journal ID: ISSN 1991-9603
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Wei, Yaxing, Liu, Shishi, Huntzinger, Deborah N., Michalak, Anna M., Viovy, Nicolas, Post, Wilfred M., Schwalm, Christopher R., Schaeffer, Kevin, Jacobson, Andrew R., Lu, Chaoqun, Tian, Hanqin, Ricciuto, Daniel M., Cook, Robert B., Mao, Jiafu, and Shi, Xiaoying. The North American Carbon Program Multi-scale Synthesis and Terrestrial Model Intercomparison Project – Part 2: Environmental driver data. United States: N. p., 2014. Web. doi:10.5194/gmd-7-2875-2014.
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Wei, Yaxing, Liu, Shishi, Huntzinger, Deborah N., Michalak, Anna M., Viovy, Nicolas, Post, Wilfred M., Schwalm, Christopher R., Schaeffer, Kevin, Jacobson, Andrew R., Lu, Chaoqun, Tian, Hanqin, Ricciuto, Daniel M., Cook, Robert B., Mao, Jiafu, & Shi, Xiaoying. The North American Carbon Program Multi-scale Synthesis and Terrestrial Model Intercomparison Project – Part 2: Environmental driver data. United States. https://doi.org/10.5194/gmd-7-2875-2014
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Wei, Yaxing, Liu, Shishi, Huntzinger, Deborah N., Michalak, Anna M., Viovy, Nicolas, Post, Wilfred M., Schwalm, Christopher R., Schaeffer, Kevin, Jacobson, Andrew R., Lu, Chaoqun, Tian, Hanqin, Ricciuto, Daniel M., Cook, Robert B., Mao, Jiafu, and Shi, Xiaoying. Fri . "The North American Carbon Program Multi-scale Synthesis and Terrestrial Model Intercomparison Project – Part 2: Environmental driver data". United States. https://doi.org/10.5194/gmd-7-2875-2014. https://www.osti.gov/servlets/purl/1286833.
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@article{osti_1286833,
title = {The North American Carbon Program Multi-scale Synthesis and Terrestrial Model Intercomparison Project – Part 2: Environmental driver data},
author = {Wei, Yaxing and Liu, Shishi and Huntzinger, Deborah N. and Michalak, Anna M. and Viovy, Nicolas and Post, Wilfred M. and Schwalm, Christopher R. and Schaeffer, Kevin and Jacobson, Andrew R. and Lu, Chaoqun and Tian, Hanqin and Ricciuto, Daniel M. and Cook, Robert B. and Mao, Jiafu and Shi, Xiaoying},
abstractNote = {Ecosystems are important and dynamic components of the global carbon cycle, and terrestrial biospheric models (TBMs) are crucial tools in further understanding of how terrestrial carbon is stored and exchanged with the atmosphere across a variety of spatial and temporal scales. Improving TBM skills, and quantifying and reducing their estimation uncertainties, pose significant challenges. The Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP) is a formal multi-scale and multi-model intercomparison effort set up to tackle these challenges. The MsTMIP protocol prescribes standardized environmental driver data that are shared among model teams to facilitate model model and model observation comparisons. In this article, we describe the global and North American environmental driver data sets prepared for the MsTMIP activity to both support their use in MsTMIP and make these data, along with the processes used in selecting/processing these data, accessible to a broader audience. Based on project needs and lessons learned from past model intercomparison activities, we compiled climate, atmospheric CO2 concentrations, nitrogen deposition, land use and land cover change (LULCC), C3 / C4 grasses fractions, major crops, phenology and soil data into a standard format for global (0.5⁰ x 0.5⁰ resolution) and regional (North American: 0.25⁰ x 0.25⁰ resolution) simulations. In order to meet the needs of MsTMIP, improvements were made to several of the original environmental data sets, by improving the quality, and/or changing their spatial and temporal coverage, and resolution. The resulting standardized model driver data sets are being used by over 20 different models participating in MsTMIP. Lastly, the data are archived at the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC, http://daac.ornl.gov) to provide long-term data management and distribution.},
doi = {10.5194/gmd-7-2875-2014},
journal = {Geoscientific Model Development (Online)},
number = 6,
volume = 7,
place = {United States},
year = {Fri Dec 05 00:00:00 EST 2014},
month = {Fri Dec 05 00:00:00 EST 2014}
}
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Publisher's Version of Record
https://doi.org/10.5194/gmd-7-2875-2014
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    • DOI: 10.5194/gmd-10-1175-2017

    Uncertainty in the response of terrestrial carbon sink to environmental drivers undermines carbon-climate feedback predictions
    journal, July 2017

    Global divergent responses of primary productivity to water, energy, and CO 2
    journal, December 2019

    • Liu, Zhiyong; Chen, Lei; Smith, Nicholas G.
    • Environmental Research Letters, Vol. 14, Issue 12
    • DOI: 10.1088/1748-9326/ab57c5

    Expansion of high-latitude deciduous forests driven by interactions between climate warming and fire
    journal, August 2019

    Contributions of climate change, land use change and CO 2 to changes in the gross primary productivity of the Tibetan Plateau
    journal, November 2019

    Contributions of wildland fire to terrestrial ecosystem carbon dynamics in North America from 1990 to 2012: Fire-Caused Net Ecosystem Carbon Flux
    journal, May 2017

    • Chen, Guangsheng; Hayes, Daniel J.; David McGuire, A.
    • Global Biogeochemical Cycles, Vol. 31, Issue 5
    • DOI: 10.1002/2016gb005548

    Impacts of climate variability and extremes on global net primary production in the first decade of the 21st century
    journal, July 2015

    • Pan, Shufen; Tian, Hanqin; Dangal, Shree R. S.
    • Journal of Geographical Sciences, Vol. 25, Issue 9
    • DOI: 10.1007/s11442-015-1217-4

    Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region
    journal, June 2019

    • Cui, Erqian; Huang, Kun; Arain, Muhammad Altaf
    • Global Biogeochemical Cycles, Vol. 33, Issue 6
    • DOI: 10.1029/2018gb005909

    Disentangling Climate and LAI Effects on Seasonal Variability in Water Use Efficiency Across Terrestrial Ecosystems in China
    journal, August 2018

    • Li, Yue; Shi, Hao; Zhou, Lei
    • Journal of Geophysical Research: Biogeosciences, Vol. 123, Issue 8
    • DOI: 10.1029/2018jg004482

    Circumpolar distribution and carbon storage of thermokarst landscapes
    journal, October 2016

    • Olefeldt, D.; Goswami, S.; Grosse, G.
    • Nature Communications, Vol. 7, Issue 1
    • DOI: 10.1038/ncomms13043

    Field-experiment constraints on the enhancement of the terrestrial carbon sink by CO2 fertilization
    journal, September 2019

    The FLUXCOM ensemble of global land-atmosphere energy fluxes
    journal, May 2019

    Approaching the potential of model-data comparisons of global land carbon storage
    journal, March 2019

    Carbon and Water Use Efficiencies: A Comparative Analysis of Ten Terrestrial Ecosystem Models under Changing Climate
    journal, October 2019

    • El Masri, Bassil; Schwalm, Christopher; Huntzinger, Deborah N.
    • Scientific Reports, Vol. 9, Issue 1
    • DOI: 10.1038/s41598-019-50808-7

    Toward verifying fossil fuel CO2 emissions with the CMAQ model: Motivation, model description and initial simulation
    journal, July 2013

    • Liu, Zhen; Bambha, Ray P.; Pinto, Joseph P.
    • Journal of the Air & Waste Management Association, Vol. 64, Issue 4, p. 419-435
    • DOI: 10.1080/10962247.2013.816642

    Impacts of tillage practices on soil carbon stocks in the US corn-soybean cropping system during 1998 to 2016
    journal, January 2020

    • Yu, Zhen; Lu, Chaoqun; Hennessy, David A.
    • Environmental Research Letters, Vol. 15, Issue 1
    • DOI: 10.1088/1748-9326/ab6393

    Climate-driven uncertainties in modeling terrestrial energy and water fluxes: a site-level to global-scale analysis
    journal, March 2014

    • Barman, Rahul; Jain, Atul K.; Liang, Miaoling
    • Global Change Biology, Vol. 20, Issue 6
    • DOI: 10.1111/gcb.12473

    Climate-driven uncertainties in modeling terrestrial gross primary production: a site level to global-scale analysis
    journal, March 2014

    • Barman, Rahul; Jain, Atul K.; Liang, Miaoling
    • Global Change Biology, Vol. 20, Issue 5
    • DOI: 10.1111/gcb.12474

    Maximum carbon uptake rate dominates the interannual variability of global net ecosystem exchange
    journal, July 2019

    • Fu, Zheng; Stoy, Paul C.; Poulter, Benjamin
    • Global Change Biology, Vol. 25, Issue 10
    • DOI: 10.1111/gcb.14731

    BETYdb: a yield, trait, and ecosystem service database applied to second-generation bioenergy feedstock production
    journal, January 2017

    • LeBauer, David; Kooper, Rob; Mulrooney, Patrick
    • GCB Bioenergy, Vol. 10, Issue 1
    • DOI: 10.1111/gcbb.12420

    Climate policy implications of nonlinear decline of Arctic land permafrost and other cryosphere elements
    text, January 2019

    • Yumashev, Dmitry; Hope, Chris; Schaefer, Kevin
    • Apollo - University of Cambridge Repository
    • DOI: 10.17863/cam.39713

    The impact of spatiotemporal variability in atmospheric CO2 concentration on global terrestrial carbon fluxes
    journal, January 2018

    Towards a more detailed representation of high-latitude vegetation in the global land surface model ORCHIDEE (ORC-HL-VEGv1.0)
    journal, January 2017

    • Druel, Arsène; Peylin, Philippe; Krinner, Gerhard
    • Geoscientific Model Development, Vol. 10, Issue 12
    • DOI: 10.5194/gmd-10-4693-2017

    A predictive algorithm for wetlands in deep time paleoclimate models
    journal, January 2019

    • Wilton, David J.; Badger, Marcus P. S.; Kantzas, Euripides P.
    • Geoscientific Model Development, Vol. 12, Issue 4
    • DOI: 10.5194/gmd-12-1351-2019

    LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil moisture Model Intercomparison Project – aims, setup and expected outcome
    journal, January 2016

    • van den Hurk, Bart; Kim, Hyungjun; Krinner, Gerhard
    • Geoscientific Model Development, Vol. 9, Issue 8
    • DOI: 10.5194/gmd-9-2809-2016

    Reduced North American terrestrial primary productivity linked to anomalous Arctic warming
    journal, July 2017

    • Kim, Jin-Soo; Kug, Jong-Seong; Jeong, Su-Jong
    • Nature Geoscience, Vol. 10, Issue 8
    • DOI: 10.1038/ngeo2986

    A Predictive Algorithm For Wetlands In Deep Time Paleoclimate Models
    journal, January 2018

    • Wilton, David J.; Badger, Marcus; Kantzas, Euripides P.
    • Geoscientific Model Development Discussions
    • DOI: 10.5194/gmd-2018-213

    The North American Carbon Program Multi-scale synthesis and Terrestrial Model Intercomparison Project – Part 1: Overview and experimental design
    journal, January 2013

    • Huntzinger, D. N.; Schwalm, C.; Michalak, A. M.
    • Geoscientific Model Development Discussions, Vol. 6, Issue 3
    • DOI: 10.5194/gmdd-6-3977-2013

    Comparison of effects of cold‐region soil/snow processes and the uncertainties from model forcing data on permafrost physical characteristics
    journal, March 2016

    • Barman, Rahul; Jain, Atul K.
    • Journal of Advances in Modeling Earth Systems, Vol. 8, Issue 1
    • DOI: 10.1002/2015ms000504

    Decadal trends in the seasonal-cycle amplitude of terrestrial CO 2 exchange resulting from the ensemble of terrestrial biosphere models
    journal, May 2016

    • Ito, Akihiko; Inatomi, Motoko; Huntzinger, Deborah N.
    • Tellus B: Chemical and Physical Meteorology, Vol. 68, Issue 1
    • DOI: 10.3402/tellusb.v68.28968

    Simulating CH4 and CO2 over South and East Asia using the zoomed chemistry transport model LMDz-INCA
    journal, January 2018

    • Lin, Xin; Ciais, Philippe; Bousquet, Philippe
    • Atmospheric Chemistry and Physics, Vol. 18, Issue 13
    • DOI: 10.5194/acp-18-9475-2018

    Tropical climate-vegetation-fire relationships: multivariate evaluation of the land surface model JSBACH
    posted_content, January 2018

    • Lasslop, Gitta; Moeller, Thomas; D’Onofrio, Donatella
    • Biogeosciences Discussions
    • DOI: 10.5194/bg-2018-48

    A global wetland methane emissions and uncertainty dataset for atmospheric chemical transport models (WetCHARTs version 1.0)
    journal, January 2017

    • Bloom, A. Anthony; Bowman, Kevin W.; Lee, Meemong
    • Geoscientific Model Development, Vol. 10, Issue 6
    • DOI: 10.5194/gmd-10-2141-2017

    Emerging risks from marine heat waves
    text, January 2018

    Contrasting interannual atmospheric CO2 variabilities and their terrestrial mechanisms for two types of El Niños
    text, January 2018

    • Wang, Jun; Zeng, Ning; Wang, Meirong
    • European Geosciences Union
    • DOI: 10.48350/119621

    Effects of Warming Hiatuses on Vegetation Growth in the Northern Hemisphere
    journal, April 2018

    • Wei, Hong; Zhao, Xiang; Liang, Shunlin
    • Remote Sensing, Vol. 10, Issue 5
    • DOI: 10.3390/rs10050683

    Emerging risks from marine heat waves
    journal, February 2018

    The FLUXCOM ensemble of global land-atmosphere energy fluxes
    journal, May 2019

    Uncertainty in the response of terrestrial carbon sink to environmental drivers undermines carbon-climate feedback predictions
    journal, July 2017

    Approaching the potential of model-data comparisons of global land carbon storage
    journal, March 2019

    Carbon and Water Use Efficiencies: A Comparative Analysis of Ten Terrestrial Ecosystem Models under Changing Climate
    journal, October 2019

    • El Masri, Bassil; Schwalm, Christopher; Huntzinger, Deborah N.
    • Scientific Reports, Vol. 9, Issue 1
    • DOI: 10.1038/s41598-019-50808-7

    Technical note: 3-hourly temporal downscaling of monthly global terrestrial biosphere model net ecosystem exchange
    journal, March 2016

    • Fisher, Joshua B.; Sikka, Munish; Huntsinger, Deborah N.
    • Biogeosciences Discussion
    • DOI: 10.5194/bg-2016-67

    The importance of tree demography and root water uptake for modelling the carbon and water cycles of Amazonia
    journal, July 2018

    • Joetzjer, Emilie; Maignan, Fabienne; Chave, Jérôme
    • Biogeosciences Discussions
    • DOI: 10.5194/bg-2018-308

    Preindustrial nitrous oxide emissions from the land biosphere estimated by using a global biogeochemistry model
    journal, January 2017

    Contrasting terrestrial carbon cycle responses to the 1997/98 and 2015/16 extreme El Niño events
    journal, January 2018

    • Wang, Jun; Zeng, Ning; Wang, Meirong
    • Earth System Dynamics, Vol. 9, Issue 1
    • DOI: 10.5194/esd-9-1-2018

    Global manure nitrogen production and application in cropland during 1860–2014: a 5 arcmin gridded global dataset for Earth system modeling
    journal, January 2017

    A globally calibrated scheme for generating daily meteorology from monthly statistics: Global-WGEN (GWGEN) v1.0
    journal, October 2017

    A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1)
    journal, January 2017

    • Forkel, Matthias; Dorigo, Wouter; Lasslop, Gitta
    • Geoscientific Model Development, Vol. 10, Issue 12
    • DOI: 10.5194/gmd-10-4443-2017

    Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb)
    journal, January 2018

    • Badawy, Bakr; Polavarapu, Saroja; Jones, Dylan B. A.
    • Geoscientific Model Development, Vol. 11, Issue 2
    • DOI: 10.5194/gmd-11-631-2018

    A predictive algorithm for wetlands in deep time paleoclimate models
    journal, January 2019

    • Wilton, David J.; Badger, Marcus P. S.; Kantzas, Euripides P.
    • Geoscientific Model Development, Vol. 12, Issue 4
    • DOI: 10.5194/gmd-12-1351-2019

    The Fire Modeling Intercomparison Project (FireMIP), phase 1: Experimental and analytical protocols
    journal, October 2016

    • Rabin, Sam S.; Melton, Joe R.; Lasslop, Gitta
    • Geoscientific Model Development Discussions
    • DOI: 10.5194/gmd-2016-237

    LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil moisture Model Intercomparison Project – aims, setup and expected outcome
    journal, January 2016

    • van den Hurk, Bart; Kim, Hyungjun; Krinner, Gerhard
    • Geoscientific Model Development, Vol. 9, Issue 8
    • DOI: 10.5194/gmd-9-2809-2016

    Weak sensitivity of the terrestrial water budget to global soil texture maps in the ORCHIDEE land surface model
    journal, July 2020

    • Tafasca, Salma; Ducharne, Agnès; Valentin, Christian
    • Hydrology and Earth System Sciences, Vol. 24, Issue 7
    • DOI: 10.5194/hess-24-3753-2020

    Simulated high-latitude soil thermal dynamics during the past 4 decades
    journal, January 2016

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