Biogeosciences A framework for benchmarking land models
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J. Randerson | D. Lawrence | P. Ciais | S. Zaehle | P. Friedlingstein | K. Hibbard | C. Jones | C. Bacour | S. Piao | J. Fisher | E. Blyth | F. Hoffman | M. Reichstein | C. Schwalm | M. Mahecha | N. Carvalhais | D. Huntzinger | I. Prentice | P. Peylin | R. Norby | C. Koven | S. Niu | G. Abramowitz | W. Riley | J. Xia | Y. P. Wang | D. Li | D. Dalmonech | X. Zhou | X. Qi | Y. Luo | R. Fisher
[1] Wilfred M. Post,et al. Soil carbon pools and world life zones , 1982, Nature.
[2] J. S. Olson,et al. Worldwide organic soil carbon and nitrogen data , 1986 .
[3] K. Rose,et al. Model goodness-of-fit analysis using regression and related techniques , 1995 .
[4] Edward J. Rykiel,et al. Testing ecological models: the meaning of validation , 1996 .
[5] E. Matthews. Global litter production, pools, and turnover times: Estimates from measurement data and regression models , 1997 .
[6] T. Carlson,et al. On the relation between NDVI, fractional vegetation cover, and leaf area index , 1997 .
[7] R. Dickinson,et al. The Project for Intercomparison of Land Surface Parameterization Schemes (PILPS): Phases 2 and 3 , 1993 .
[8] Anjan K. Ghosh,et al. Performance Analysis of Acousto-optic Digital Signal Processors using the Describing Function Approach , 1998 .
[9] Stephen Sitch,et al. Evaluation of terrestrial carbon cycle models through simulations of the seasonal cycle of atmospheric CO2: First results of a model intercomparison study , 1998 .
[10] D. Jolly,et al. Mid‐Holocene and glacial‐maximum vegetation geography of the northern continents and Africa , 2000 .
[11] Peter A. Coppin,et al. Parameter estimation in surface exchange models using nonlinear inversion: how many parameters can we estimate and which measurements are most useful? , 2001 .
[12] K. Taylor. Summarizing multiple aspects of model performance in a single diagram , 2001 .
[13] Yiqi Luo,et al. FIRE EFFECTS ON NITROGEN POOLS AND DYNAMICS IN TERRESTRIAL ECOSYSTEMS: A META-ANALYSIS , 2001 .
[14] J. E. Braun,et al. EVALUATING THE PERFORMANCE OF , 2001 .
[15] I. C. Prentice,et al. Carbon balance of the terrestrial biosphere in the Twentieth Century: Analyses of CO2, climate and land use effects with four process‐based ecosystem models , 2001 .
[16] Stephen Sitch,et al. Evaluation of terrestrial carbon cycle models with atmospheric CO2 measurements: Results from transient simulations considering increasing CO2, climate, and land‐use effects , 2002 .
[17] George H. Bryan,et al. A Benchmark Simulation for Moist Nonhydrostatic Numerical Models , 2002 .
[18] Damian J. Barrett,et al. Estimating regional terrestrial carbon fluxes for the Australian continent using a multiple-constraint approach I. Using remotely sensed data and ecological observations of net primary production , 2003 .
[19] Josep G. Canadell,et al. Sustainability of terrestrial carbon sequestration: A case study in Duke Forest with inversion approach , 2003 .
[20] R. Dickinson,et al. The Common Land Model , 2003 .
[21] Tooraj Jamasb,et al. International benchmarking and regulation: an application to European electricity distribution utilities , 2003 .
[22] Christopher B. Field,et al. Nitrogen and Climate Change , 2003, Science.
[23] A. Pitman. The evolution of, and revolution in, land surface schemes designed for climate models , 2003 .
[24] M. R. Shaw,et al. Water relations in grassland and desert ecosystems exposed to elevated atmospheric CO2 , 2004, Oecologia.
[25] J. Randerson,et al. Continental-Scale Partitioning of Fire Emissions During the 1997 to 2001 El Niño/La Niña Period , 2003, Science.
[26] J. Berry,et al. A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species , 1980, Planta.
[27] M. R. R A U Pa C H,et al. Model – data synthesis in terrestrial carbon observation : methods , data requirements and data uncertainty specifications , 2005 .
[28] Steven Platnick,et al. Spatially complete global spectral surface albedos: value-added datasets derived from Terra MODIS land products , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[29] William G. Lee,et al. Modulation of leaf economic traits and trait relationships by climate , 2005 .
[30] R. Ceulemans,et al. Forest response to elevated CO2 is conserved across a broad range of productivity. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[31] Robert Jacob,et al. Simulated and Observed Preindustrial to Modern Vegetation and Climate Changes , 2005 .
[32] John S. Kimball,et al. Global Biomass Variation and Its Geodynamic Effects: 1982–98 , 2005 .
[33] R. Schnur,et al. Climate-carbon cycle feedback analysis: Results from the C , 2006 .
[34] Gabriel Abramowitz,et al. Towards a benchmark for land surface models , 2005 .
[35] J. Chambers,et al. Tree allometry and improved estimation of carbon stocks and balance in tropical forests , 2005, Oecologia.
[36] R. Norby,et al. Nitrogen uptake, distribution, turnover, and efficiency of use in a CO2-enriched sweetgum forest. , 2006, Ecology.
[37] Hans D. Mittelmann,et al. A server for automated performance analysis of benchmarking data , 2006, Optim. Methods Softw..
[38] S. Malyshev,et al. The underpinnings of land‐use history: three centuries of global gridded land‐use transitions, wood‐harvest activity, and resulting secondary lands , 2006 .
[39] Vivek K. Arora,et al. Estimating changes in global vegetation cover (1850–2100) for use in climate models , 2006 .
[40] Kuolin Hsu,et al. Neural Error Regression Diagnosis (NERD): A Tool for Model Bias Identification and Prognostic Data Assimilation , 2006 .
[41] J. Randerson,et al. Interannual variability in global biomass burning emissions from 1997 to 2004 , 2006 .
[42] Iain H. Woodhouse,et al. Predicting backscatter-biomass and height-biomass trends using a macroecology model , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[43] L. White,et al. Probabilistic inversion of a terrestrial ecosystem model: Analysis of uncertainty in parameter estimation and model prediction , 2006 .
[44] Yiqi Luo,et al. Elevated CO2 stimulates net accumulations of carbon and nitrogen in land ecosystems: a meta-analysis. , 2006, Ecology.
[45] Hoshin Vijai Gupta,et al. Systematic Bias in Land Surface Models , 2007 .
[46] Yiqi Luo,et al. Divergence of reproductive phenology under climate warming , 2007, Proceedings of the National Academy of Sciences.
[47] Yiqi Luo. Terrestrial Carbon-Cycle Feedback to Climate Warming , 2007 .
[48] Maosheng Zhao,et al. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data , 2007 .
[49] S. Roxburgh,et al. OptIC project: An intercomparison of optimization techniques for parameter estimation in terrestrial biogeochemical models , 2007 .
[50] Peter B Reich,et al. Predicting leaf physiology from simple plant and climate attributes: a global GLOPNET analysis. , 2007, Ecological applications : a publication of the Ecological Society of America.
[51] Peter E. Thornton,et al. Influence of carbon‐nitrogen cycle coupling on land model response to CO2 fertilization and climate variability , 2007 .
[52] J. V. Soares,et al. Distribution of aboveground live biomass in the Amazon basin , 2007 .
[53] Yiqi Luo,et al. Spatial patterns of ecosystem carbon residence time and NPP‐driven carbon uptake in the conterminous United States , 2008 .
[54] Markus Reichstein,et al. Consequences of More Extreme Precipitation Regimes for Terrestrial Ecosystems , 2008 .
[55] S. Frolking,et al. Canopy nitrogen, carbon assimilation, and albedo in temperate and boreal forests: Functional relations and potential climate feedbacks , 2008, Proceedings of the National Academy of Sciences.
[56] W. Kurz,et al. Mountain pine beetle and forest carbon feedback to climate change , 2008, Nature.
[57] Werner A. Kurz,et al. Risk of natural disturbances makes future contribution of Canada's forests to the global carbon cycle highly uncertain , 2008, Proceedings of the National Academy of Sciences.
[58] Steven Platnick,et al. MODIS-Derived Spatially Complete Surface Albedo Products: Spatial and Temporal Pixel Distribution and Zonal Averages , 2008 .
[59] Yiqi Luo,et al. inor stimulation of soil carbon storage by nitrogen addition : A meta-analysis , 2011 .
[60] Q. Zhuang,et al. Equifinality in parameterization of process‐based biogeochemistry models: A significant uncertainty source to the estimation of regional carbon dynamics , 2008 .
[61] R. Jeu,et al. Multisensor historical climatology of satellite‐derived global land surface moisture , 2008 .
[62] A. Pitman,et al. Evaluating the Performance of Land Surface Models , 2008 .
[63] I. C. Prentice,et al. Evaluation of the terrestrial carbon cycle, future plant geography and climate‐carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs) , 2008 .
[64] D. Baldocchi,et al. Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites , 2008 .
[65] S. Sitch,et al. The role of fire disturbance for global vegetation dynamics: coupling fire into a Dynamic Global Vegetation Model , 2008 .
[66] Ian G. Enting,et al. A review of applications of model–data fusion to studies of terrestrial carbon fluxes at different scales , 2009 .
[67] Li Zhang,et al. Parameter identifiability, constraint, and equifinality in data assimilation with ecosystem models. , 2009, Ecological applications : a publication of the Ecological Society of America.
[68] J. Canadell,et al. Soil organic carbon pools in the northern circumpolar permafrost region , 2009 .
[69] J. Randerson,et al. Assessing variability and long-term trends in burned area by merging multiple satellite fire products , 2009 .
[70] J. Randerson,et al. Nitrogen deposition in tropical forests from savanna and deforestation fires , 2010 .
[71] Rachel M. Law,et al. A global model of carbon, nitrogen and phosphorus cycles for the terrestrial biosphere , 2009 .
[72] W. Knorr,et al. Quantifying photosynthetic capacity and its relationship to leaf nitrogen content for global‐scale terrestrial biosphere models , 2009 .
[73] J. Randerson,et al. Systematic assessment of terrestrial biogeochemistry in coupled climate–carbon models , 2009 .
[74] Benjamin Z. Houlton,et al. Nitrogen constraints on terrestrial carbon uptake: Implications for the global carbon‐climate feedback , 2009 .
[75] Taotao Qian,et al. Changes in Continental Freshwater Discharge from 1948 to 2004 , 2009 .
[76] Tyler A. Simon,et al. Observation and analysis of the multicore performance impact on scientific applications , 2009, Concurr. Comput. Pract. Exp..
[77] Jesse E. Bell,et al. Changes in soil water dynamics due to variation in precipitation and temperature: An ecohydrological analysis in a tallgrass prairie , 2010 .
[78] Eleanor Blyth,et al. Evaluating the JULES Land Surface Model Energy Fluxes Using FLUXNET Data , 2010 .
[79] Markus Reichstein,et al. Reduction of forest soil respiration in response to nitrogen deposition , 2010 .
[80] S. Seneviratne,et al. Recent decline in the global land evapotranspiration trend due to limited moisture supply , 2010, Nature.
[81] S. Los,et al. A comprehensive set of benchmark tests for a land surface model of simultaneous fluxes of water and carbon at both the global and seasonal scale , 2010 .
[82] Sandy P. Harrison,et al. The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model , 2010 .
[83] Pierre Friedlingstein,et al. Terrestrial nitrogen feedbacks may accelerate future climate change , 2010 .
[84] Nuno Carvalhais,et al. Comparing observations and process‐based simulations of biosphere‐atmosphere exchanges on multiple timescales , 2010 .
[85] James S. Clark,et al. Coordinated approaches to quantify long‐term ecosystem dynamics in response to global change , 2011 .
[86] Andrew D. Friend,et al. Carbon and nitrogen cycle dynamics in the O‐CN land surface model: 1. Model description, site‐scale evaluation, and sensitivity to parameter estimates , 2010 .
[87] Lingli Liu,et al. A global perspective on belowground carbon dynamics under nitrogen enrichment. , 2010, Ecology letters.
[88] P. Ciais,et al. Benchmarking coupled climate‐carbon models against long‐term atmospheric CO2 measurements , 2010 .
[89] Nuno Carvalhais,et al. Identification of vegetation and soil carbon pools out of equilibrium in a process model via eddy covariance and biometric constraints , 2010 .
[90] B. P. Bond-Lamberty,et al. A Global Database of Soil Respiration Data, Version 1.0 , 2010 .
[91] T. A. Black,et al. A model‐data intercomparison of CO2 exchange across North America: Results from the North American Carbon Program site synthesis , 2010 .
[92] J. Randerson,et al. Technical Description of version 4.0 of the Community Land Model (CLM) , 2010 .
[93] Jeffrey M. Warren,et al. CO2 enhancement of forest productivity constrained by limited nitrogen availability , 2010, Proceedings of the National Academy of Sciences.
[94] Charles D. Canham,et al. Increased tree carbon storage in response to nitrogen deposition in the US , 2010 .
[95] M. Lefsky. A global forest canopy height map from the Moderate Resolution Imaging Spectroradiometer and the Geoscience Laser Altimeter System , 2010 .
[96] Gordon B. Bonan,et al. Quantifying carbon‐nitrogen feedbacks in the Community Land Model (CLM4) , 2010 .
[97] Ray Leuning,et al. Diagnosing errors in a land surface model (CABLE) in the time and frequency domains , 2011 .
[98] Zhiqiang Xiao,et al. Reprocessing the MODIS Leaf Area Index products for land surface and climate modelling , 2011 .
[99] Hong Jiang,et al. Integrating models with data in ecology and palaeoecology: advances towards a model-data fusion approach. , 2011, Ecology letters.
[100] P. Friedlingstein,et al. Modeling fire and the terrestrial carbon balance , 2011 .
[101] Donald R. Zak,et al. Ecological Lessons from Free-Air CO2 Enrichment (FACE) Experiments , 2011 .
[102] Yiqi Luo,et al. Carbon and nitrogen dynamics during forest stand development: a global synthesis. , 2011, The New phytologist.
[103] Fabienne Maignan,et al. Evaluation of a Global Vegetation Model using time series of satellite vegetation indices , 2011 .
[104] A. Baccini,et al. Mapping forest canopy height globally with spaceborne lidar , 2011 .
[105] A. Robock,et al. The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements , 2011 .
[106] Markus Reichstein,et al. Improving canopy processes in the Community Land Model version 4 (CLM4) using global flux fields empirically inferred from FLUXNET data , 2011 .
[107] W. J. Riley,et al. Barriers to predicting changes in global terrestrial methane fluxes: analyses using CLM4Me, a methane biogeochemistry model integrated in CESM , 2011 .
[108] Yiqi Luo,et al. Relative information contributions of model vs. data to short- and long-term forecasts of forest carbon dynamics. , 2011, Ecological applications : a publication of the Ecological Society of America.
[109] J. Randerson,et al. Continental-scale net radiation and evapotranspiration estimated using MODIS satellite observations , 2011 .
[110] P. Ciais,et al. Changes in satellite‐derived vegetation growth trend in temperate and boreal Eurasia from 1982 to 2006 , 2011 .
[111] K. Denman,et al. Carbon emission limits required to satisfy future representative concentration pathways of greenhouse gases , 2011 .
[112] Shenfeng Fei,et al. Ecological forecasting and data assimilation in a data-rich era. , 2011, Ecological applications : a publication of the Ecological Society of America.
[113] Bo Li,et al. Responses of ecosystem nitrogen cycle to nitrogen addition: a meta-analysis. , 2011, The New phytologist.
[114] Yiqi Luo,et al. Dynamic disequilibrium of the terrestrial carbon cycle under global change. , 2011, Trends in ecology & evolution.
[115] C. Frankenberg,et al. New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity , 2011, Geophysical Research Letters.
[116] Maosheng Zhao,et al. Improvements to a MODIS global terrestrial evapotranspiration algorithm , 2011 .
[117] A. Arneth,et al. Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations , 2011 .
[118] Eric F. Wood,et al. Global estimates of evapotranspiration for climate studies using multi-sensor remote sensing data: Evaluation of three process-based approaches , 2011 .
[119] Alan Hastings,et al. Ecosystem carbon storage capacity as affected by disturbance regimes: A general theoretical model , 2012 .
[120] Philippe Ciais,et al. A framework for benchmarking land models , 2012 .
[121] Jianyang Xia,et al. Traceable components of terrestrial carbon storage capacity in biogeochemical models , 2013, Global change biology.
[122] Gordon B. Bonan,et al. Benefits of Forests Forests and Climate Change: Forcings, Feedbacks, and the Climate , 2014 .
[123] S S I T C H,et al. Evaluation of Ecosystem Dynamics, Plant Geography and Terrestrial Carbon Cycling in the Lpj Dynamic Global Vegetation Model , 2022 .