Quantifying uncertainties from additional nitrogen data and processes in a terrestrial ecosystem model with Bayesian probabilistic inversion

Effects of site preparation treatments before afforestation on soil carbon release

(2016) Jianlei Wang et al.   FOREST ECOLOGY AND MANAGEMENT

Toward more realistic projections of soil carbon dynamics by Earth system models

(2016) Yiqi Luo et al.   GLOBAL BIOGEOCHEMICAL CYCLES

Effects of model structural uncertainty on carbon cycle projections: biological nitrogen fixation as a case study

(2015) William R Wieder et al.   Environmental Research Letters

Nitrogen limitation on land: how can it occur in Earth system models?

(2015) R. Quinn Thomas et al.   GLOBAL CHANGE BIOLOGY

Inverse analysis of coupled carbon–nitrogen cycles against multiple datasets at ambient and elevated CO2

(2015) Zheng Shi et al.   Journal of Plant Ecology

Inverse analysis of coupled carbon–nitrogen cycles against multiple datasets at ambient and elevated CO2

(2015) Zheng Shi et al.   Journal of Plant Ecology

Complementarity of flux- and biometric-based data to constrain parameters in a terrestrial carbon model

(2015) Zhenggang Du et al.   TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY

Predictability of the terrestrial carbon cycle

(2014) Yiqi Luo et al.   GLOBAL CHANGE BIOLOGY

Evaluation of 11 terrestrial carbon-nitrogen cycle models against observations from two temperate Free-Air CO2Enrichment studies

(2014) Sönke Zaehle et al.   NEW PHYTOLOGIST

Comprehensive ecosystem model-data synthesis using multiple data sets at two temperate forest free-air CO2enrichment experiments: Model performance at ambient CO2concentration

(2014) Anthony P. Walker et al.   Journal of Geophysical Research-Biogeosciences

Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5

(2013) J.-L. Dufresne et al.   CLIMATE DYNAMICS

Traceable components of terrestrial carbon storage capacity in biogeochemical models

(2013) Jianyang Xia et al.   GLOBAL CHANGE BIOLOGY

Global patterns of nitrogen limitation: confronting two global biogeochemical models with observations

(2013) R. Quinn Thomas et al.   GLOBAL CHANGE BIOLOGY

The BETHY/JSBACH Carbon Cycle Data Assimilation System: experiences and challenges

(2013) T. Kaminski et al.   Journal of Geophysical Research-Biogeosciences

Rate my data: quantifying the value of ecological data for the development of models of the terrestrial carbon cycle

(2012) Trevor F. Keenan et al.   ECOLOGICAL APPLICATIONS

Uncertainties in carbon residence time and NPP-driven carbon uptake in terrestrial ecosystems of the conterminous USA: a Bayesian approach

(2012) Xuhui Zhou et al.   TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY

Ecological forecasting and data assimilation in a data-rich era

(2011) Yiqi Luo et al.   ECOLOGICAL APPLICATIONS

Relative information contributions of model vs. data to short- and long-term forecasts of forest carbon dynamics

(2011) Ensheng Weng et al.   ECOLOGICAL APPLICATIONS

The Community Climate System Model Version 4

(2011) Peter R. Gent et al.   JOURNAL OF CLIMATE

Assessing productivity and carbon sequestration capacity of subtropical coniferous plantations using the process model PnET-CN

(2011) Yuan Yan et al.   Journal of Geographical Sciences

Carbon–nitrogen interactions on land at global scales: current understanding in modelling climate biosphere feedbacks

(2011) Sönke Zaehle et al.   Current Opinion in Environmental Sustainability

Terrestrial nitrogen feedbacks may accelerate future climate change

(2010) Sönke Zaehle et al.   GEOPHYSICAL RESEARCH LETTERS

A review of applications of model–data fusion to studies of terrestrial carbon fluxes at different scales

(2009) Ying-Ping Wang et al.   AGRICULTURAL AND FOREST METEOROLOGY

Parameter identifiability, constraint, and equifinality in data assimilation with ecosystem models

(2009) Yiqi Luo et al.   ECOLOGICAL APPLICATIONS

Conditional inversion to estimate parameters from eddy-flux observations

(2009) X. Wu et al.   Journal of Plant Ecology

Implications of the carbon cycle steady state assumption for biogeochemical modeling performance and inverse parameter retrieval

(2008) Nuno Carvalhais et al.   GLOBAL BIOGEOCHEMICAL CYCLES