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Impacts of land use change and elevated CO2 on the interannual variations and seasonal cycles of gross primary productivity in China

CITE Title : Impacts of land use change and elevated CO2 on the interannual variations and seasonal cycles of gross primary productivity in China Personal Author(s) : Jia, Binghao;Luo, Xin;Cai, Ximing;Jain, Atul;Huntzinger, Deborah N.;Xie, Zhenghui;Zeng, Ning;Mao, Jiafu;Shi, Xiaoying;Ito, Akihiko;Wei, Yaxing;Tian, Hanqin;Poulter, Benjamin;Hayes, Dan;Schaefer, Kevin; Published Date : 2020 Source : Earth System Dynamics, 11(1), 235-249 DOI : https://doi.org/10.5194/esd-11-235-2020 Journal Title : Earth System Dynamics Jia, Binghao et al. (2020). Impacts of land use change and elevated CO2 on the interannual variations and seasonal cycles of gross primary productivity in China. 11(1). https://doi.org/10.5194/esd-11-235-2020 Jia, Binghao et al. "Impacts of land use change and elevated CO2 on the interannual variations and seasonal cycles of gross primary productivity in China" 11, no. 1 (2020), https://doi.org/10.5194/esd-11-235-2020 Jia, Binghao et al. "Impacts of land use change and elevated CO2 on the interannual variations and seasonal cycles of gross primary productivity in China" vol. 11, no. 1, 2020, https://doi.org/10.5194/esd-11-235-2020 Export RIS Citation Information.

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Jia, Binghao

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Luo, Xin

2020 | Earth System Dynamics, 11(1), 235-249

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Climate change, rising CO2 concentration, and land use and land cover change (LULCC) are primary driving forces for terrestrial gross primary producti...
Land carbon models underestimate the severity and duration of drought’s impact on plant productivity

CITE Title : Land carbon models underestimate the severity and duration of drought’s impact on plant productivity Personal Author(s) : Kolus, Hannah R.;Huntzinger, Deborah N.;Schwalm, Christopher R.;Fisher, Joshua B.;McKay, Nicholas;Fang, Yuanyuan;Michalak, Anna M.;Schaefer, Kevin;Wei, Yaxing;Poulter, Benjamin;Mao, Jiafu;Parazoo, Nicholas C.;Shi, Xiaoying; Published Date : 2019 Source : Scientific Reports, 9(1) DOI : https://doi.org/10.1038/s41598-019-39373-1 Journal Title : Scientific Reports Kolus, Hannah R. et al. (2019). Land carbon models underestimate the severity and duration of drought’s impact on plant productivity. 9(1). https://doi.org/10.1038/s41598-019-39373-1 Kolus, Hannah R. et al. "Land carbon models underestimate the severity and duration of drought’s impact on plant productivity" 9, no. 1 (2019), https://doi.org/10.1038/s41598-019-39373-1 Kolus, Hannah R. et al. "Land carbon models underestimate the severity and duration of drought’s impact on plant productivity" vol. 9, no. 1, 2019, https://doi.org/10.1038/s41598-019-39373-1 Export RIS Citation Information.

:

Kolus, Hannah R. ;

Huntzinger, Deborah N.

2019 | Scientific Reports, 9(1)

No Description
Perspectives on Citizen Science Data Quality

CITE Title : Perspectives on Citizen Science Data Quality Personal Author(s) : Downs, Robert R.;Ramapriyan, Hampapuram K.;Peng, Ge;Wei, Yaxing; Published Date : 2021 Source : Front. Clim. 3:615032 DOI : https://doi.org/10.3389/fclim.2021.615032 Journal Title : Frontiers in Climate Downs, Robert R. et al. (2021). Perspectives on Citizen Science Data Quality. 3https://doi.org/10.3389/fclim.2021.615032 Downs, Robert R. et al. "Perspectives on Citizen Science Data Quality" 3 (2021), https://doi.org/10.3389/fclim.2021.615032 Downs, Robert R. et al. "Perspectives on Citizen Science Data Quality" vol. 3, 2021, https://doi.org/10.3389/fclim.2021.615032 Export RIS Citation Information.

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Downs, Robert R. ;

Ramapriyan, Hampapuram K.

2021 | Front. Clim. 3:615032

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Information about data quality helps potential data users to determine whether and how data can be used and enables the analysis and interpretation of...
Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region

CITE Title : Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region Personal Author(s) : Cui, Erqian;Huang, Kun;Arain, Muhammad Altaf;Fisher, Joshua B.;Huntzinger, Deborah N.;Ito, Akihiko;Luo, Yiqi;Jain, Atul K.;Mao, Jiafu;Michalak, Anna M.;Niu, Shuli;Parazoo, Nicholas C.;Peng, Changhui;Peng, Shushi;Poulter, Benjamin;Ricciuto, Daniel M.;Schaefer, Kevin M.;Schwalm, Christopher R.;Shi, Xiaoying;Tian, Hanqin;Wang, Weile;Wang, Jinsong;Wei, Yaxing;Yan, Enrong;Yan, Liming;Zeng, Ning;Zhu, Qiuan;Xia, Jianyang; Published Date : 2019 Source : Global Biogeochemical Cycles, 33(6), 668-689 DOI : https://doi.org/10.1029/2018gb005909 Journal Title : Global Biogeochemical Cycles Cui, Erqian et al. (2019). Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region. 33(6). https://doi.org/10.1029/2018gb005909 Cui, Erqian et al. "Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region" 33, no. 6 (2019), https://doi.org/10.1029/2018gb005909 Cui, Erqian et al. "Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region" vol. 33, no. 6, 2019, https://doi.org/10.1029/2018gb005909 Export RIS Citation Information.

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Cui, Erqian ;

Huang, Kun

2019 | Global Biogeochemical Cycles, 33(6), 668-689

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Global and regional projections of climate change by Earth system models are limited by their uncertain estimates of terrestrial ecosystem productivit...
The Terrestrial Biosphere Model Farm

CITE Title : The Terrestrial Biosphere Model Farm Personal Author(s) : Fisher, Joshua B.;Sikka, Munish;Block, Gary L.;Schwalm, Christopher R.;Parazoo, Nicholas C.;Kolus, Hannah R.;Sok, Malen;Wang, Audrey;Gagne‐Landmann, Anna;Lawal, Shakirudeen;Guillaume, Alexandre;Poletti, Alyssa;Schaefer, Kevin M.;El Masri, Bassil;Levy, Peter E.;Wei, Yaxing;Dietze, Michael C.;Huntzinger, Deborah N.; Published Date : 2022 Source : Journal of Advances in Modeling Earth Systems, 14(2) DOI : https://doi.org/10.1029/2021ms002676 Journal Title : Journal of Advances in Modeling Earth Systems Fisher, Joshua B. et al. (2022). The Terrestrial Biosphere Model Farm. 14(2). https://doi.org/10.1029/2021ms002676 Fisher, Joshua B. et al. "The Terrestrial Biosphere Model Farm" 14, no. 2 (2022), https://doi.org/10.1029/2021ms002676 Fisher, Joshua B. et al. "The Terrestrial Biosphere Model Farm" vol. 14, no. 2, 2022, https://doi.org/10.1029/2021ms002676 Export RIS Citation Information.

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Fisher, Joshua B.

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Sikka, Munish

2022 | Journal of Advances in Modeling Earth Systems, 14(2)

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Model Intercomparison Projects (MIPs) are fundamental to our understanding of how the land surface responds to changes in climate. However, MIPs are c...
The Atmospheric Carbon and Transport (ACT) – America Mission

CITE Title : The Atmospheric Carbon and Transport (ACT) – America Mission Personal Author(s) : Davis, Kenneth J.;Browell, Edward V.;Feng, Sha;Lauvaux, Thomas;Obland, Michael D.;Pal, Sandip;Baier, Bianca C.;Baker, David F.;Baker, Ian T.;Barkley, Zachary R.;Bowman, Kevin W.;Cui, Yu Yan;Denning, A. Scott;DiGangi, Joshua P.;Dobler, Jeremy T.;Fried, Alan;Gerken, Tobias;Keller, Klaus;Lin, Bing;Nehrir, Amin R.;Normile, Caroline P.;O’Dell, Christopher W.;Ott, Lesley E.;Roiger, Anke;Schuh, Andrew E.;Sweeney, Colm;Wei, Yaxing;Weir, Brad;Xue, Ming;Williams, Christopher A.; Published Date : 2021 Source : Bulletin of the American Meteorological Society, 102(9), E1714-E1734 DOI : https://doi.org/10.1175/BAMS-D-20-0300.1 Journal Title : Bulletin of the American Meteorological Society Davis, Kenneth J. et al. (2021). The Atmospheric Carbon and Transport (ACT) – America Mission. 102(9). https://doi.org/10.1175/BAMS-D-20-0300.1 Davis, Kenneth J. et al. "The Atmospheric Carbon and Transport (ACT) – America Mission" 102, no. 9 (2021), https://doi.org/10.1175/BAMS-D-20-0300.1 Davis, Kenneth J. et al. "The Atmospheric Carbon and Transport (ACT) – America Mission" vol. 102, no. 9, 2021, https://doi.org/10.1175/BAMS-D-20-0300.1 Export RIS Citation Information.

:

Davis, Kenneth J. ;

Browell, Edward V.

2021 | Bulletin of the American Meteorological Society, 102(9), E1714-E1734

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The Atmospheric Carbon and Transport (ACT)-America NASA Earth Venture Suborbital Mission set out to improve regional atmospheric greenhouse gas (GHG) ...
Forests dominate the interannual variability of the North American carbon sink

CITE Title : Forests dominate the interannual variability of the North American carbon sink Personal Author(s) : Shiga, Yoichi P;Michalak, Anna M;Fang, Yuanyuan;Schaefer, Kevin;Andrews, Arlyn E;Huntzinger, Deborah H;Schwalm, Christopher R;Thoning, Kirk;Wei, Yaxing; Published Date : 2018 Source : Environmental Research Letters, 13(8), 11. DOI : https://doi.org/10.1088/1748-9326/aad505 Journal Title : Environmental Research Letters Shiga, Yoichi P et al. (2018). Forests dominate the interannual variability of the North American carbon sink. 13(8). https://doi.org/10.1088/1748-9326/aad505 Shiga, Yoichi P et al. "Forests dominate the interannual variability of the North American carbon sink" 13, no. 8 (2018), https://doi.org/10.1088/1748-9326/aad505 Shiga, Yoichi P et al. "Forests dominate the interannual variability of the North American carbon sink" vol. 13, no. 8, 2018, https://doi.org/10.1088/1748-9326/aad505 Export RIS Citation Information.

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Shiga, Yoichi P

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Michalak, Anna M

2018 | Environmental Research Letters, 13(8), 11.

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Understanding what drives the interannual variability (IAV) of the land carbon sink is crucial for improving future predictions of this important, yet...
Modeling suggests fossil fuel emissions have been driving increased land carbon uptake since the turn of the 20th Century

CITE Title : Modeling suggests fossil fuel emissions have been driving increased land carbon uptake since the turn of the 20th Century Personal Author(s) : Schwalm, Christopher R.;Huntzinger, Deborah N.;Michalak, Anna M.;Schaefer, Kevin;Fisher, Joshua B.;Fang, Yuanyuan;Wei, Yaxing; Published Date : 2020 Source : Scientific Reports, 10(1) DOI : https://doi.org/10.1038/s41598-020-66103-9 Journal Title : Scientific Reports Schwalm, Christopher R. et al. (2020). Modeling suggests fossil fuel emissions have been driving increased land carbon uptake since the turn of the 20th Century. 10(1). https://doi.org/10.1038/s41598-020-66103-9 Schwalm, Christopher R. et al. "Modeling suggests fossil fuel emissions have been driving increased land carbon uptake since the turn of the 20th Century" 10, no. 1 (2020), https://doi.org/10.1038/s41598-020-66103-9 Schwalm, Christopher R. et al. "Modeling suggests fossil fuel emissions have been driving increased land carbon uptake since the turn of the 20th Century" vol. 10, no. 1, 2020, https://doi.org/10.1038/s41598-020-66103-9 Export RIS Citation Information.

:

Schwalm, Christopher R. ;

Huntzinger, Deborah N.

2020 | Scientific Reports, 10(1)

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Terrestrial vegetation removes CO2from the atmosphere; an important climate regulation service that slows global warming. This 119 Pg C per annum tran...
Divergence in land surface modeling: linking spread to structure

CITE Title : Divergence in land surface modeling: linking spread to structure Personal Author(s) : Schwalm, Christopher R;Schaefer, Kevin;Fisher, Joshua B;Huntzinger, Deborah;Elshorbany, Yasin;Fang, Yuanyuan;Hayes, Daniel;Jafarov, Elchin;Michalak, Anna M;Piper, Mark;Stofferahn, Eric;Wang, Kang;Wei, Yaxing; Published Date : 2019 Source : Environmental Research Communications, 1(11), 111004 DOI : https://doi.org/10.1088/2515-7620/ab4a8a Journal Title : Environmental Research Communications Schwalm, Christopher R et al. (2019). Divergence in land surface modeling: linking spread to structure. 1(11). https://doi.org/10.1088/2515-7620/ab4a8a Schwalm, Christopher R et al. "Divergence in land surface modeling: linking spread to structure" 1, no. 11 (2019), https://doi.org/10.1088/2515-7620/ab4a8a Schwalm, Christopher R et al. "Divergence in land surface modeling: linking spread to structure" vol. 1, no. 11, 2019, https://doi.org/10.1088/2515-7620/ab4a8a Export RIS Citation Information.

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Schwalm, Christopher R

;

Schaefer, Kevin

2019 | Environmental Research Communications, 1(11), 111004

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Divergence in land carbon cycle simulation is persistent and widespread. Regardless of model intercomparison project, results from individual models d...
Decadal trends in the seasonal-cycle amplitude of terrestrial CO2 exchange resulting from the ensemble of terrestrial biosphere models

CITE Title : Decadal trends in the seasonal-cycle amplitude of terrestrial CO2 exchange resulting from the ensemble of terrestrial biosphere models Personal Author(s) : Ito, Akihiko;Inatomi, Motoko;Huntzinger, Deborah N.;Schwalm, Christopher;Michalak, Anna M.;Cook, Robert;King, Anthony W.;Mao, Jiafu;Wei, Yaxing;Post, W. Mac;Wang, Weile;Arain, M. Altaf;Huang, Suo;Hayes, Daniel J.;Ricciuto, Daniel M.;Shi, Xiaoying;Huang, Maoyi;Lei, Huimin;Tian, Hanqin;Lu, Chaoqun;Yang, Jia;Tao, Bo;Jain, Atul;Poulter, Benjamin;Peng, Shushi;Ciais, Philippe;Fisher, Joshua B.;Parazoo, Nicholas;Schaefer, Kevin;Peng, Changhui;Zeng, Ning;Zhao, Fang; Published Date : 2016 Source : Tellus B: Chemical and Physical Meteorology, 68(1), 28968 DOI : https://doi.org/10.3402/tellusb.v68.28968 Journal Title : Tellus B: Chemical and Physical Meteorology Ito, Akihiko et al. (2016). Decadal trends in the seasonal-cycle amplitude of terrestrial CO2 exchange resulting from the ensemble of terrestrial biosphere models. 68(1). https://doi.org/10.3402/tellusb.v68.28968 Ito, Akihiko et al. "Decadal trends in the seasonal-cycle amplitude of terrestrial CO2 exchange resulting from the ensemble of terrestrial biosphere models" 68, no. 1 (2016), https://doi.org/10.3402/tellusb.v68.28968 Ito, Akihiko et al. "Decadal trends in the seasonal-cycle amplitude of terrestrial CO2 exchange resulting from the ensemble of terrestrial biosphere models" vol. 68, no. 1, 2016, https://doi.org/10.3402/tellusb.v68.28968 Export RIS Citation Information.

:

Ito, Akihiko ;

Inatomi, Motoko

2016 | Tellus B: Chemical and Physical Meteorology, 68(1), 28968

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The seasonal-cycle amplitude (SCA) of the atmosphere–ecosystem carbon dioxide (CO2) exchange rate is a useful metric of the responsiveness of the te...
Call to Action for Global Access to and Harmonization of Quality Information of Individual Earth Science Datasets

CITE Title : Call to Action for Global Access to and Harmonization of Quality Information of Individual Earth Science Datasets Personal Author(s) : Peng, Ge;Downs, Robert R.;Lacagnina, Carlo;Ramapriyan, Hampapuram;Ivánová, Ivana;Moroni, David;Wei, Yaxing;Larnicol, Gilles;Wyborn, Lesley;Goldberg, Mitch;Schulz, Jörg;Bastrakova, Irina;Ganske, Anette;Bastin, Lucy;Khalsa, Siri Jodha S.;Wu, Mingfang;Shie, Chung-Lin;Ritchey, Nancy;Jones, Dave;Habermann, Ted;Lief, Christina;Maggio, Iolanda;Albani, Mirko;Stall, Shelley;Zhou, Lihang;Drévillon, Marie;Champion, Sarah;Hou, C. Sophie;Doblas-Reyes, Francisco;Lehnert, Kerstin;Robinson, Erin;Bugbee, Kaylin; Published Date : 2021 Source : Data Science Journal, 20 DOI : https://doi.org/10.5334/dsj-2021-019 Journal Title : Data Science Journal Peng, Ge et al. (2021). Call to Action for Global Access to and Harmonization of Quality Information of Individual Earth Science Datasets. 20https://doi.org/10.5334/dsj-2021-019 Peng, Ge et al. "Call to Action for Global Access to and Harmonization of Quality Information of Individual Earth Science Datasets" 20 (2021), https://doi.org/10.5334/dsj-2021-019 Peng, Ge et al. "Call to Action for Global Access to and Harmonization of Quality Information of Individual Earth Science Datasets" vol. 20, 2021, https://doi.org/10.5334/dsj-2021-019 Export RIS Citation Information.

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Peng, Ge

;

Downs, Robert R.

2021 | Data Science Journal, 20

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Knowledge about the quality of data and metadata is important to support informed decisions on the (re)use of individual datasets and is an essential ...