Reply to: on the role of atmospheric model transport uncertainty in estimating the chinese land carbon sink

Access through your institution Buy or subscribe replying to A. E. Schuh et al. _Nature_ https://doi.org/10.1038/s41586-021-04258-9 (2022). In our Article1, we used newly available in situ

atmospheric mole fraction measurements of carbon dioxide (CO2) to refine an estimate of the carbon sink over China; this estimate was larger than previous estimates, with a focus over

Southwest China. We attributed this sink to persistent and large-scale afforestation. To corroborate our finding, we presented a range of satellite remote-sensing measurements of the

atmosphere and land surface and provided a statistical assessment of the corresponding provincial-scale forest census data. In their Comment, Schuh et al.2 describe issues regarding

systematic model errors that preclude any confident assessment of the Chinese land sink. We welcome these comments on our paper and address in turn each specific comment raised. We do not

dispute the role of atmospheric transport model error in our flux estimates, which is discussed here and in Wang et al.1, but the evidence provided by Schuh et al.2 suggests that other

errors can also have a role in their ensemble statistics. This is a preview of subscription content, access via your institution ACCESS OPTIONS Access through your institution Access Nature

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taxes which are calculated during checkout ADDITIONAL ACCESS OPTIONS: * Log in * Learn about institutional subscriptions * Read our FAQs * Contact customer support DATA AVAILABILITY The CO2

mole fraction data from the Chinese sites used in this study are available at https://doi.org/10.17632/w3bwmr6rfg.1 on http://data.mendeley.com. CODE AVAILABILITY We acknowledge the Python

Software Foundation: Python Language Reference, version 3.7.7; available at http://www.python.org. We also acknowledge Matplotlib (v3.1.3, https://doi.org/10.5281/zenodo.3984190). The

community-led GEOS-Chem model of atmospheric chemistry and transport is maintained centrally by Harvard University (http://acmg.seas.harvard.edu/geos/) and is available on request. The

ensemble Kalman filter code is publicly available as PyOSSE (https://www.nceo.ac.uk/data-tools/atmospheric-tools/). REFERENCES * Wang, J. et al. Large Chinese land carbon sink estimated from

atmospheric carbon dioxide data. _Nature_ 586, 720–723 (2020). * Schuh, A. E. et al. On the role of atmospheric model transport uncertainty in estimating the Chinese land carbon sink.

_Nature_ https://doi.org/10.1038/s41586-021-04258-9 (2022). * Schuh, A. E. et al. Quantifying the impact of atmospheric transport uncertainty on CO2 surface flux estimates. _Glob.

Biogeochem. Cycles_ 33, 484–500 (2019). Article  ADS  CAS  Google Scholar  Download references ACKNOWLEDGEMENTS We thank the OCO-2 Model Intercomparison Project for sharing their individual

model data to help us to prepare this response. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Carbon Neutrality Research Center, Institute of Atmospheric Physics, Chinese Academy of

Sciences, Beijing, China Jing Wang, Yi Liu & Dongxu Yang * University of Chinese Academy of Sciences, Beijing, China Jing Wang, Yi Liu & Dongxu Yang * National Centre for Earth

Observation, University of Edinburgh, Edinburgh, UK Jing Wang, Liang Feng & Paul I. Palmer * School of GeoSciences, University of Edinburgh, Edinburgh, UK Jing Wang, Liang Feng & 

Paul I. Palmer * College of Environment, Zhejiang University of Technology, Hangzhou, China Shuangxi Fang * Meteorological Observation Centre, China Meteorological Administration, Beijing,

China Shuangxi Fang & Lixin Liu * National Centre for Earth Observation, University of Leicester, Leicester, UK Hartmut Bösch * Cooperative Institute for Research in the Atmosphere

(CIRA), Colorado State University, Fort Collins, CO, USA Christopher W. O’Dell * Academy of Forest Inventory and Planning, State Forestry Administration, Beijing, China Xiaoping Tang & 

ChaoZong Xia Authors * Jing Wang View author publications You can also search for this author inPubMed Google Scholar * Liang Feng View author publications You can also search for this

author inPubMed Google Scholar * Paul I. Palmer View author publications You can also search for this author inPubMed Google Scholar * Yi Liu View author publications You can also search for

this author inPubMed Google Scholar * Shuangxi Fang View author publications You can also search for this author inPubMed Google Scholar * Hartmut Bösch View author publications You can

also search for this author inPubMed Google Scholar * Christopher W. O’Dell View author publications You can also search for this author inPubMed Google Scholar * Xiaoping Tang View author

publications You can also search for this author inPubMed Google Scholar * Dongxu Yang View author publications You can also search for this author inPubMed Google Scholar * Lixin Liu View

author publications You can also search for this author inPubMed Google Scholar * ChaoZong Xia View author publications You can also search for this author inPubMed Google Scholar

CONTRIBUTIONS P.I.P. and L.F. prepared this response. P.I.P. led the writing of the paper, with contributions from L.F., Y.L., S.F., H.B., C.W.O., X.T., D.Y., L.L. and C.X. CORRESPONDING

AUTHORS Correspondence to Paul I. Palmer, Yi Liu or Shuangxi Fang. ETHICS DECLARATIONS COMPETING INTERESTS The authors declare no competing interests. ADDITIONAL INFORMATION PUBLISHER’S NOTE

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CITE THIS ARTICLE Wang, J., Feng, L., Palmer, P.I. _et al._ Reply to: On the role of atmospheric model transport uncertainty in estimating the Chinese land carbon sink. _Nature_ 603, E15–E16

(2022). https://doi.org/10.1038/s41586-021-04259-8 Download citation * Published: 16 March 2022 * Issue Date: 17 March 2022 * DOI: https://doi.org/10.1038/s41586-021-04259-8 SHARE THIS

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