How can biosphere models simulate enough vegetation biomass in the mountains of the western United States? Implications of meteorological forcing
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John C. Lin | B. Raczka | Aihui Wang | H. Duarte | D. Bowling | P. Buotte
[1] W. Anderegg,et al. Plant hydraulics play a critical role in Earth system fluxes. , 2020, The New phytologist.
[2] S. Ghan,et al. Exploring Topography‐Based Methods for Downscaling Subgrid Precipitation for Use in Earth System Models , 2020, Journal of Geophysical Research: Atmospheres.
[3] D. Lawrence,et al. Representing Intrahillslope Lateral Subsurface Flow in the Community Land Model , 2019, Journal of Advances in Modeling Earth Systems.
[4] K. Oleson,et al. Model Structure and Climate Data Uncertainty in Historical Simulations of the Terrestrial Carbon Cycle (1850–2014) , 2019, Global Biogeochemical Cycles.
[5] M. Goulden,et al. California forest die-off linked to multi-year deep soil drying in 2012–2015 drought , 2019, Nature Geoscience.
[6] Tsengdar J. Lee,et al. Constraints to Vegetation Growth Reduced by Region-Specific Changes in Seasonal Climate , 2019, Climate.
[7] D. Lawrence,et al. Implementing Plant Hydraulics in the Community Land Model, Version 5 , 2019, Journal of Advances in Modeling Earth Systems.
[8] J. McDonnell,et al. Hillslope Hydrology in Global Change Research and Earth System Modeling , 2019, Water Resources Research.
[9] B. Law,et al. Near‐future forest vulnerability to drought and fire varies across the western United States , 2018, Global change biology.
[10] D. Medvigy,et al. Soil Moisture Stress as a Major Driver of Carbon Cycle Uncertainty , 2018, Geophysical Research Letters.
[11] O. Martius,et al. A new region-aware bias-correction method for simulated precipitation in areas of complex orography , 2018, Geoscientific Model Development.
[12] J. Pelletier,et al. Which way do you lean? Using slope aspect variations to understand Critical Zone processes and feedbacks , 2018 .
[13] G. Bonan,et al. Climate, ecosystems, and planetary futures: The challenge to predict life in Earth system models , 2018, Science.
[14] Michael C Dietze,et al. Prediction in ecology: a first-principles framework. , 2017, Ecological applications : a publication of the Ecological Society of America.
[15] Gordon B. Bonan,et al. Reducing uncertainty in projections of terrestrial carbon uptake , 2017 .
[16] P. Blanken,et al. Ecosystem function in complex mountain terrain: Combining models and long‐term observations to advance process‐based understanding , 2017 .
[17] P. Sellers,et al. Closing the scale gap between land surface parameterizations and GCMs with a new scheme, SiB3‐Bins , 2017 .
[18] Benjamin Smith,et al. The large influence of climate model bias on terrestrial carbon cycle simulations , 2017 .
[19] Benjamin Smith,et al. Climate data induced uncertainty in model-based estimations of terrestrial primary productivity , 2016 .
[20] John C. Lin,et al. How can mountaintop CO 2 observations be used to constrain regional carbon fluxes , 2016 .
[21] John C. Lin,et al. Evaluating the Community Land Model (CLM4.5) at a coniferous forest site in northwestern United States using flux and carbon-isotope measurements , 2016 .
[22] B. Law,et al. Water availability limits tree productivity, carbon stocks, and carbon residence time in mature forests across the western US , 2016 .
[23] John C. Lin,et al. An observational constraint on stomatal function in forests: evaluating coupled carbon and water vapor exchange with carbon isotopes in the Community Land Model (CLM4.5) , 2016 .
[24] X. Zeng,et al. Estimates of Global Surface Hydrology and Heat Fluxes from the Community Land Model (CLM4.5) with Four Atmospheric Forcing Datasets , 2016 .
[25] Jeffrey G. Masek,et al. Disturbance and the carbon balance of US forests: A quantitative review of impacts from harvests, fires, insects, and droughts , 2016 .
[26] J. Apt,et al. Quantifying sources of uncertainty in reanalysis derived wind speed , 2016 .
[27] J. Randerson,et al. Representing leaf and root physiological traits in CLM improves global carbon and nitrogen cycling predictions , 2016 .
[28] Cho‐ying Huang,et al. When a Tree Dies in the Forest: Scaling Climate-Driven Tree Mortality to Ecosystem Water and Carbon Fluxes , 2016, Ecosystems.
[29] R. N. Juárez. Observed allocations of productivity and biomass, and turnover times in tropical forests are not accurately represented in CMIP5 Earth system models , 2015 .
[30] P. Blanken,et al. The influence of warm-season precipitation on the diel cycle of the surface energy balance and carbon dioxide at a Colorado subalpine forest site , 2015 .
[31] W. Anderegg. Spatial and temporal variation in plant hydraulic traits and their relevance for climate change impacts on vegetation. , 2015, The New phytologist.
[32] John M. Reilly,et al. Land carbon sequestration within the conterminous United States: Regional‐ and state‐level analyses , 2015 .
[33] Min Liu,et al. Evaluation of the Community Land Model simulated carbon and water fluxes against observations over ChinaFLUX sites , 2014 .
[34] Lee H. MacDonald,et al. Climate change impacts on fire regimes and key ecosystem services in Rocky Mountain forests , 2014 .
[35] P. Jones,et al. Updated high‐resolution grids of monthly climatic observations – the CRU TS3.10 Dataset , 2014 .
[36] Stephan Gruber,et al. TopoSCALE v.1.0: downscaling gridded climate data in complex terrain , 2014 .
[37] W. Post,et al. The North American Carbon Program Multi-Scale Synthesis and Terrestrial Model Intercomparison Project – Part 1: Overview and experimental design , 2013 .
[38] Robert B. Cook,et al. The North American Carbon Program Multi-scale Synthesis and Terrestrial Model Intercomparison Project – Part 2: Environmental driver data , 2013 .
[39] Yadvinder Malhi,et al. Confronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought. , 2013, The New phytologist.
[40] P. Cox,et al. Evaluating the Land and Ocean Components of the Global Carbon Cycle in the CMIP5 Earth System Models , 2013 .
[41] Arjan J. H. Meddens,et al. Carbon stocks of trees killed by bark beetles and wildfire in the western United States , 2013 .
[42] C. Field,et al. Drought's legacy: multiyear hydraulic deterioration underlies widespread aspen forest die‐off and portends increased future risk , 2013, Global change biology.
[43] C. Woodall,et al. Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage , 2013, Carbon Balance and Management.
[44] J. Abatzoglou. Development of gridded surface meteorological data for ecological applications and modelling , 2013 .
[45] Karsten Schulz,et al. Elevation correction of ERA-Interim temperature data in complex terrain , 2012 .
[46] B. Law,et al. Evaluation and improvement of the Community Land Model (CLM4) in Oregon forests , 2012 .
[47] Karl E. Taylor,et al. An overview of CMIP5 and the experiment design , 2012 .
[48] Ankur R. Desai,et al. Seasonal pattern of regional carbon balance in the central Rocky Mountains from surface and airborne measurements , 2011 .
[49] P. Cox,et al. The Joint UK Land Environment Simulator (JULES), model description – Part 2: Carbon fluxes and vegetation dynamics , 2011 .
[50] S. Schubert,et al. MERRA: NASA’s Modern-Era Retrospective Analysis for Research and Applications , 2011 .
[51] Paolo De Angelis,et al. Reconciling the optimal and empirical approaches to modelling stomatal conductance , 2011 .
[52] Hank A. Margolis,et al. Attributing uncertainties in simulated biospheric carbon fluxes to different error sources , 2011 .
[53] J. Thepaut,et al. The ERA‐Interim reanalysis: configuration and performance of the data assimilation system , 2011 .
[54] J. Régnière,et al. Climate Change and Bark Beetles of the Western United States and Canada: Direct and Indirect Effects , 2010 .
[55] Uang,et al. The NCEP Climate Forecast System Reanalysis , 2010 .
[56] S. Wofsy,et al. Responses of terrestrial ecosystems and carbon budgets to current and future environmental variability , 2010, Proceedings of the National Academy of Sciences.
[57] D. Lenschow,et al. A Multiscale and Multidisciplinary Investigation Of Ecosystem–Atmosphere CO2 Exchange Over the Rocky Mountains of Colorado , 2010 .
[58] Nicholas C. Coops,et al. Validation of Solar Radiation Surfaces from MODIS and Reanalysis Data over Topographically Complex Terrain , 2009 .
[59] David T. Bolvin,et al. Improving the global precipitation record: GPCP Version 2.1 , 2009 .
[60] Richard A. Birdsey,et al. Tree age, disturbance history, and carbon stocks and fluxes in subalpine Rocky Mountain forests , 2008 .
[61] N. McDowell,et al. Mechanisms of plant survival and mortality during drought: why do some plants survive while others succumb to drought? , 2008, The New phytologist.
[62] Scott D. Miller,et al. Seasonal drought stress in the Amazon: Reconciling models and observations , 2008 .
[63] R. Seager,et al. Model Projections of an Imminent Transition to a More Arid Climate in Southwestern North America , 2007, Science.
[64] Maosheng Zhao,et al. Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses , 2006 .
[65] David D. Parrish,et al. NORTH AMERICAN REGIONAL REANALYSIS , 2006 .
[66] Todd N. Rosenstiel,et al. Climatic influences on net ecosystem CO2 exchange during the transition from wintertime carbon source to springtime carbon sink in a high-elevation, subalpine forest , 2005, Oecologia.
[67] T. D. Mitchell,et al. An improved method of constructing a database of monthly climate observations and associated high‐resolution grids , 2005 .
[68] J. D. Tarpley,et al. The multi‐institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system , 2004 .
[69] J. Janowiak,et al. The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present) , 2003 .
[70] S. Running,et al. Carbon sequestration studied in western U.S. mountains , 2002 .
[71] R. Monson,et al. Carbon sequestration in a high‐elevation, subalpine forest , 2001 .
[72] S. Running,et al. Contribution of increasing CO2 and climate to carbon storage by ecosystems in the United States. , 2000, Science.
[73] S. Running,et al. An improved algorithm for estimating incident daily solar radiation from measurements of temperature, humidity, and precipitation , 1999 .
[74] I. C. Prentice,et al. An integrated biosphere model of land surface processes , 1996 .
[75] D. Randall,et al. A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part I: Model Formulation , 1996 .
[76] R. Reynolds,et al. The NCEP/NCAR 40-Year Reanalysis Project , 1996, Renewable Energy.
[77] J. Berry,et al. A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species , 1980, Planta.
[78] W. Peters,et al. CO2 by photosynthesis, respiration, and biomass burning in SiBCASA , 2014 .