Year |
Citation |
Score |
2020 |
Peng B, Guan K, Tang J, Ainsworth EA, Asseng S, Bernacchi CJ, Cooper M, Delucia EH, Elliott JW, Ewert F, Grant RF, Gustafson DI, Hammer GL, Jin Z, Jones JW, et al. Towards a multiscale crop modelling framework for climate change adaptation assessment. Nature Plants. 6: 338-348. PMID 32296143 DOI: 10.1038/S41477-020-0625-3 |
0.352 |
|
2020 |
Tang J, Riley WJ. Linear two-pool models are insufficient to infer soil organic matter decomposition temperature sensitivity from incubations Biogeochemistry. 149: 251-261. DOI: 10.1007/S10533-020-00678-3 |
0.451 |
|
2019 |
Wang F, Ni G, Riley WJ, Tang J, Zhu D, Sun T. Evaluation of the WRF lake module (v1.0) and its improvements at a deep reservoir Geoscientific Model Development. 12: 2119-2138. DOI: 10.5194/Gmd-12-2119-2019 |
0.331 |
|
2019 |
Dwivedi D, Tang J, Bouskill N, Georgiou K, Chacon SS, Riley WJ. Abiotic and Biotic Controls on Soil Organo–Mineral Interactions: Developing Model Structures to Analyze Why Soil Organic Matter Persists Reviews in Mineralogy and Geochemistry. 85: 329-348. DOI: 10.2138/Rmg.2019.85.11 |
0.364 |
|
2019 |
Golaz J, Caldwell PM, Van Roekel LP, Petersen MR, Tang Q, Wolfe JD, Abeshu G, Anantharaj V, Asay‐Davis XS, Bader DC, Baldwin SA, Bisht G, Bogenschutz PA, Branstetter M, Brunke MA, ... ... Tang J, et al. The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution Journal of Advances in Modeling Earth Systems. 11: 2089-2129. DOI: 10.1029/2018Ms001603 |
0.33 |
|
2019 |
Lawrence DM, Fisher RA, Koven CD, Oleson KW, Swenson SC, Bonan G, Collier N, Ghimire B, Kampenhout L, Kennedy D, Kluzek E, Lawrence PJ, Li F, Li H, Lombardozzi D, ... ... Tang J, et al. The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty Journal of Advances in Modeling Earth Systems. 11: 4245-4287. DOI: 10.1029/2018Ms001583 |
0.404 |
|
2019 |
Zhu Q, Riley WJ, Tang J, Collier N, Hoffman FM, Yang X, Bisht G. Representing Nitrogen, Phosphorus, and Carbon Interactions in the E3SM Land Model: Development and Global Benchmarking Journal of Advances in Modeling Earth Systems. 11: 2238-2258. DOI: 10.1029/2018Ms001571 |
0.441 |
|
2019 |
Cai X, Riley WJ, Zhu Q, Tang J, Zeng Z, Bisht G, Randerson JT. Improving Representation of Deforestation Effects on Evapotranspiration in the E3SM Land Model Journal of Advances in Modeling Earth Systems. 11: 2412-2427. DOI: 10.1029/2018Ms001551 |
0.423 |
|
2019 |
Tang J, Riley WJ. A Theory of Effective Microbial Substrate Affinity Parameters in Variably Saturated Soils and an Example Application to Aerobic Soil Heterotrophic Respiration Journal of Geophysical Research. 124: 918-940. DOI: 10.1029/2018Jg004779 |
0.394 |
|
2019 |
Abramoff RZ, Torn MS, Georgiou K, Tang J, Riley WJ. Soil Organic Matter Temperature Sensitivity Cannot be Directly Inferred From Spatial Gradients Global Biogeochemical Cycles. 33: 761-776. DOI: 10.1029/2018Gb006001 |
0.387 |
|
2019 |
Tang J, Riley WJ. Competitor and substrate sizes and diffusion together define enzymatic depolymerization and microbial substrate uptake rates Soil Biology & Biochemistry. 139: 107624. DOI: 10.1016/J.Soilbio.2019.107624 |
0.317 |
|
2018 |
Covino T, Golden HE, Li HY, Tang J. Aquatic Carbon-Nutrient Dynamics as Emergent Properties of Hydrological, Biogeochemical, and Ecological Interactions: Scientific Advances. Water Resources Research. 54: 7138-7142. PMID 31156277 DOI: 10.1029/2018Wr023588 |
0.347 |
|
2018 |
Tang J, Riley WJ. Predicted Land Carbon Dynamics Are Strongly Dependent on the Numerical Coupling of Nitrogen Mobilizing and Immobilizing Processes: A Demonstration with the E3SM Land Model Earth Interactions. 22: 1-18. DOI: 10.1175/Ei-D-17-0023.1 |
0.388 |
|
2018 |
Gao M, Li H, Liu D, Tang J, Chen X, Chen X, Blöschl G, Leung LR. Identifying the dominant controls on macropore flow velocity in soils: A meta-analysis Journal of Hydrology. 567: 590-604. DOI: 10.1016/J.Jhydrol.2018.10.044 |
0.35 |
|
2018 |
Sulman BN, Moore JAM, Abramoff R, Averill C, Kivlin S, Georgiou K, Sridhar B, Hartman MD, Wang G, Wieder WR, Bradford MA, Luo Y, Mayes MA, Morrison E, Riley WJ, ... ... Tang J, et al. Multiple models and experiments underscore large uncertainty in soil carbon dynamics Biogeochemistry. 141: 109-123. DOI: 10.1007/S10533-018-0509-Z |
0.449 |
|
2017 |
Tang J, Riley WJ. SUPECA kinetics for scaling redox reactions in networks of mixed substrates and consumers and an example application to aerobic soil respiration Geoscientific Model Development. 10: 3277-3295. DOI: 10.5194/Gmd-10-3277-2017 |
0.324 |
|
2017 |
Dwivedi D, Riley W, Torn M, Spycher N, Maggi F, Tang J. Mineral properties, microbes, transport, and plant-input profiles control vertical distribution and age of soil carbon stocks Soil Biology and Biochemistry. 107: 244-259. DOI: 10.1016/J.Soilbio.2016.12.019 |
0.351 |
|
2016 |
Zhu Q, Riley WJ, Tang J. A new theory of plant-microbe nutrient competition resolves inconsistencies between observations and model predictions. Ecological Applications : a Publication of the Ecological Society of America. PMID 28008686 DOI: 10.1002/Eap.1490 |
0.364 |
|
2016 |
Le Roux X, Bouskill NJ, Niboyet A, Barthes L, Dijkstra P, Field CB, Hungate BA, Lerondelle C, Pommier T, Tang J, Terada A, Tourna M, Poly F. Predicting the Responses of Soil Nitrite-Oxidizers to Multi-Factorial Global Change: A Trait-Based Approach. Frontiers in Microbiology. 7: 628. PMID 27242680 DOI: 10.3389/Fmicb.2016.00628 |
0.422 |
|
2016 |
Tang J, Riley WJ. Large uncertainty in ecosystem carbon dynamics resulting from ambiguous numerical coupling of carbon and nitrogen biogeochemistry: A demonstration with the ACME land model Biogeosciences Discussions. 1-27. DOI: 10.5194/Bg-2016-233 |
0.409 |
|
2016 |
Zhu Q, Riley WJ, Tang J, Koven CD. Multiple soil nutrient competition between plants, microbes, and mineral surfaces: Model development, parameterization, and example applications in several tropical forests Biogeosciences. 13: 341-363. DOI: 10.5194/Bg-13-341-2016 |
0.437 |
|
2015 |
Tang J, Riley WJ. Weaker soil carbon-climate feedbacks resulting from microbial and abiotic interactions Nature Climate Change. 5: 56-60. DOI: 10.1038/Nclimate2438 |
0.403 |
|
2015 |
Tang J, Riley WJ, Niu J. Incorporating root hydraulic redistribution in CLM4.5: Effects on predicted site and global evapotranspiration, soil moisture, and water storage Journal of Advances in Modeling Earth Systems. 7: 1828-1848. DOI: 10.1002/2015Ms000484 |
0.412 |
|
2014 |
Zhang G, Tang J, Pan Y, Zhuang Q, Wu C. CT features and pathologic characteristics of lymphoepithelial carcinoma of salivary glands. International Journal of Clinical and Experimental Pathology. 7: 1004-11. PMID 24696717 |
0.331 |
|
2014 |
Riley WJ, Maggi F, Kleber M, Torn MS, Tang JY, Dwivedi D, Guerry N. Long residence times of rapidly decomposable soil organic matter: Application of a multi-phase, multi-component, and vertically resolved model (BAMS1) to soil carbon dynamics Geoscientific Model Development. 7: 1335-1355. DOI: 10.5194/Gmd-7-1335-2014 |
0.349 |
|
2014 |
Bouskill NJ, Riley WJ, Tang JY. Meta-analysis of high-latitude nitrogen-addition and warming studies implies ecological mechanisms overlooked by land models Biogeosciences. 11: 6969-6983. DOI: 10.5194/bg-11-6969-2014 |
0.369 |
|
2013 |
Tang J, Riley WJ. Impacts of a new bare-soil evaporation formulation on site, regional, and global surface energy and water budgets in CLM4 Journal of Advances in Modeling Earth Systems. 5: 558-571. DOI: 10.1002/Jame.20034 |
0.399 |
|
2013 |
Zhuang Q, Chen M, Xu K, Tang J, Saikawa E, Lu Y, Melillo JM, Prinn RG, McGuire AD. Response of global soil consumption of atmospheric methane to changes in atmospheric climate and nitrogen deposition Global Biogeochemical Cycles. 27: 650-663. DOI: 10.1002/Gbc.20057 |
0.536 |
|
2012 |
Bouskill NJ, Tang J, Riley WJ, Brodie EL. Trait-based representation of biological nitrification: model development, testing, and predicted community composition. Frontiers in Microbiology. 3: 364. PMID 23087681 DOI: 10.3389/Fmicb.2012.00364 |
0.33 |
|
2011 |
Tang J, Zhuang Q. Technical Note: Propagating correlations in atmospheric inversions using different Kalman update smoothers Atmospheric Chemistry and Physics. 11: 921-929. DOI: 10.5194/Acp-11-921-2011 |
0.492 |
|
2011 |
Tang J, Zhuang Q. Modeling soil thermal and hydrological dynamics and changes of growing season in Alaskan terrestrial ecosystems Climatic Change. 107: 481-510. DOI: 10.1007/S10584-010-9988-1 |
0.581 |
|
2010 |
Tang J, Zhuang Q, Shannon RD, White JR. Quantifying wetland methane emissions with process-based models of different complexities Biogeosciences. 7: 3817-3837. DOI: 10.5194/Bg-7-3817-2010 |
0.359 |
|
2010 |
Tang J, Zhuang Q. Technical Note: Methods for interval constrained atmospheric inversion of methane Atmospheric Chemistry and Physics. 10: 19981-20004. DOI: 10.5194/Acpd-10-19981-2010 |
0.503 |
|
2009 |
Tang J, Zhuang Q. A global sensitivity analysis and Bayesian inference framework for improving the parameter estimation and prediction of a process-based Terrestrial Ecosystem Model Journal of Geophysical Research Atmospheres. 114. DOI: 10.1029/2009Jd011724 |
0.559 |
|
2008 |
Tang J, Zhuang Q. Equifinality in parameterization of process-based biogeochemistry models: A significant uncertainty source to the estimation of regional carbon dynamics Journal of Geophysical Research: Biogeosciences. 113. DOI: 10.1029/2008Jg000757 |
0.543 |
|
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