Investigating the mechanisms responsible for the lack of surface energy balance closure in a central Amazonian tropical rainforest

[1]  Manfred Wendisch,et al.  The Green Ocean Amazon Experiment (GoAmazon2014/5) Observes Pollution Affecting Gases, Aerosols, Clouds, and Rainfall over the Rain Forest , 2017 .

[2]  Gabriel G. Katul,et al.  Turbulent mixing and removal of ozone within an Amazon rainforest canopy , 2017 .

[3]  Pierre Gentine,et al.  Global variations in ecosystem‐scale isohydricity , 2017, Global change biology.

[4]  Joonpyo Kim,et al.  Identifying CO2 advection on a hill slope using information flow , 2017 .

[5]  G. Katul,et al.  Linking Meteorology, Turbulence, and Air Chemistry in the Amazon Rain Forest , 2016 .

[6]  P. Blanken,et al.  The increasing importance of atmospheric demand for ecosystem water and carbon fluxes , 2016 .

[7]  Eva Boegh,et al.  Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin , 2016 .

[8]  B. Sulman,et al.  High atmospheric demand for water can limit forest carbon uptake and transpiration as severely as dry soil , 2016, Geophysical Research Letters.

[9]  J. Fuentes,et al.  Temporal Scales of the Nocturnal Flow Within and Above a Forest Canopy in Amazonia , 2016, Boundary-Layer Meteorology.

[10]  Alfredo Huete,et al.  Dry-season greening of Amazon forests , 2016, Nature.

[11]  Dennis D. Baldocchi,et al.  Identifying scale‐emergent, nonlinear, asynchronous processes of wetland methane exchange , 2016 .

[12]  Ke Zhang,et al.  Ecosystem heterogeneity determines the ecological resilience of the Amazon to climate change , 2015, Proceedings of the National Academy of Sciences.

[13]  Praveen Kumar,et al.  Information Theoretic Measures to Infer Feedback Dynamics in Coupled Logistic Networks , 2015, Entropy.

[14]  J. Townshend,et al.  Accelerated deforestation in the humid tropics from the 1990s to the 2000s , 2015, Geophysical research letters.

[15]  S. Martin,et al.  Highly reactive light‐dependent monoterpenes in the Amazon , 2015 .

[16]  D. Baldocchi,et al.  Measuring fluxes of trace gases and energy between ecosystems and the atmosphere – the state and future of the eddy covariance method , 2014, Global change biology.

[17]  T. Klein The variability of stomatal sensitivity to leaf water potential across tree species indicates a continuum between isohydric and anisohydric behaviours , 2014 .

[18]  S. Bony,et al.  The radiative impact of clouds on the shift of the Intertropical Convergence Zone , 2014 .

[19]  Thomas Foken,et al.  Extension of the Averaging Time in Eddy-Covariance Measurements and Its Effect on the Energy Balance Closure , 2014, Boundary-Layer Meteorology.

[20]  David J. Harding,et al.  Amazon forests maintain consistent canopy structure and greenness during the dry season , 2014, Nature.

[21]  Luana S. Basso,et al.  Drought sensitivity of Amazonian carbon balance revealed by atmospheric measurements , 2014, Nature.

[22]  D. Medvigy,et al.  Simulated Changes in Northwest U.S. Climate in Response to Amazon Deforestation , 2013 .

[23]  William J. Massman,et al.  Underestimates of sensible heat flux due to vertical velocity measurement errors in non-orthogonal sonic anemometers , 2013 .

[24]  G. Kiely,et al.  A data-driven analysis of energy balance closure across FLUXNET research sites: The role of landscape-scale heterogeneity , 2013 .

[25]  Benjamin L. Ruddell,et al.  Applying Information Theory in the Geosciences to Quantify Process Uncertainty, Feedback, Scale , 2013 .

[26]  Mark Heuer,et al.  How Well Can We Measure the Vertical Wind Speed? Implications for Fluxes of Energy and Mass , 2012, Boundary-Layer Meteorology.

[27]  Markus Reichstein,et al.  Climate and vegetation controls on the surface water balance: Synthesis of evapotranspiration measured across a global network of flux towers , 2012 .

[28]  J. Tóta,et al.  Amazon Rainforest Exchange of Carbon and Subcanopy Air Flow: Manaus LBA Site—A Complex Terrain Condition , 2012, TheScientificWorldJournal.

[29]  Darren T. Drewry,et al.  The Jena Diversity-Dynamic Global Vegetation Model (JeDi-DGVM): a diverse approach to representing t , 2012 .

[30]  William J. Massman,et al.  Reflections on the surface energy imbalance problem , 2012 .

[31]  William J. Massman,et al.  The fundamental equation of eddy covariance and its application in flux measurements , 2012 .

[32]  Steven Vincent Weijs,et al.  Information Theory for Risk-based Water System Operation , 2011 .

[33]  S. Seneviratne,et al.  Energy balance closure of eddy-covariance data: a multisite analysis for European FLUXNET stations. , 2010 .

[34]  S. Seneviratne,et al.  Recent decline in the global land evapotranspiration trend due to limited moisture supply , 2010, Nature.

[35]  R. Desjardins,et al.  An Attempt to Close the Daytime Surface Energy Balance Using Spatially-Averaged Flux Measurements , 2010 .

[36]  H. Mengelkamp,et al.  The residual of the energy balance closure and its influence on the results of three SVAT models , 2009 .

[37]  Markus Reichstein,et al.  Biosphere-atmosphere exchange of CO2 in relation to climate: a cross-biome analysis across multiple time scales , 2009 .

[38]  Michael N. Gooseff,et al.  Hydrologic connectivity between landscapes and streams: Transferring reach‐ and plot‐scale understanding to the catchment scale , 2009 .

[39]  Praveen Kumar,et al.  Ecohydrologic process networks: 2. Analysis and characterization , 2009 .

[40]  Praveen Kumar,et al.  Ecohydrologic process networks: 1. Identification , 2009 .

[41]  Laura S. Borma,et al.  Patterns of water and heat flux across a biome gradient from tropical forest to savanna in Brazil , 2009 .

[42]  C. Bernhofer,et al.  Parametrization of turbulent fluxes over inhomogeneous landscapes , 2008 .

[43]  T. Foken The energy balance closure problem: an overview. , 2008, Ecological applications : a publication of the Ecological Society of America.

[44]  D. Baldocchi ‘Breathing’ of the terrestrial biosphere: lessons learned from a global network of carbon dioxide flux measurement systems , 2008 .

[45]  V. Haverd,et al.  Air and biomass heat storage fluxes in a forest canopy: Calculation within a soil vegetation atmosphere transfer model , 2007 .

[46]  A. Huete,et al.  Amazon Forests Green-Up During 2005 Drought , 2007, Science.

[47]  R. Desjardins,et al.  Scale analysis of airborne flux measurements over heterogeneous terrain in a boreal ecosystem , 2007 .

[48]  Roberto Udisti,et al.  Correction to “Evolution of chemical peak shapes in the Dome C, Antarctica, ice core” , 2007 .

[49]  T. Vesala,et al.  Towards a standardized processing of Net Ecosystem Exchange measured with eddy covariance technique: algorithms and uncertainty estimation , 2006 .

[50]  F. Wimmer,et al.  Some aspects of the energy balance closure problem , 2006 .

[51]  A. Huete,et al.  Amazon rainforests green‐up with sunlight in dry season , 2006 .

[52]  Patrick Meir,et al.  Evidence from Amazonian forests is consistent with isohydric control of leaf water potential. , 2006, Plant, cell & environment.

[53]  K. Davis,et al.  A multi-site analysis of random error in tower-based measurements of carbon and energy fluxes , 2006 .

[54]  A. M. O. Filho,et al.  Radiação solar e distribuição vertical de área foliar em floresta - Reserva Biológica do Cuieiras ZF2, Manaus , 2005 .

[55]  R. Avissar,et al.  Global Hydroclimatological Teleconnections Resulting from Tropical Deforestation , 2005 .

[56]  Pavel Kabat,et al.  The robustness of eddy correlation fluxes for Amazon rain forest conditions , 2004 .

[57]  Scott D. Miller,et al.  SEASONALITY OF WATER AND HEAT FLUXES OVER A TROPICAL FOREST IN EASTERN AMAZONIA , 2004 .

[58]  Liam Paninski,et al.  Estimation of Entropy and Mutual Information , 2003, Neural Computation.

[59]  W. Massman,et al.  Eddy covariance flux corrections and uncertainties in long-term studies of carbon and energy exchanges , 2002 .

[60]  W. Oechel,et al.  Energy balance closure at FLUXNET sites , 2002 .

[61]  Yadvinder Malhi,et al.  Energy and water dynamics of a central Amazonian rain forest , 2002 .

[62]  Pavel Kabat,et al.  Comparative measurements of carbon dioxide fluxes from two nearby towers in a central Amazonian rainforest: the Manaus LBA site , 2002 .

[63]  Roni Avissar,et al.  Impact of land use/land cover change on regional hydrometeorology in Amazonia , 2002 .

[64]  R. Betts,et al.  Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model , 2000, Nature.

[65]  S. Janicot,et al.  Abrupt shift of the ITCZ over West Africa and intra‐seasonal variability , 2000 .

[66]  J. Norman,et al.  Correcting eddy-covariance flux underestimates over a grassland , 2000 .

[67]  J. Grace,et al.  Turbulence Statistics Above And Within Two Amazon Rain Forest Canopies , 2000 .

[68]  Yadvinder Malhi,et al.  Carbon dioxide transfer over a Central Amazonian rain forest , 1998 .

[69]  M. Hodnett,et al.  Seasonal soil water storage changes beneath central Amazonian rainforest and pasture , 1995 .

[70]  R. Stull An Introduction to Boundary Layer Meteorology , 1988 .

[71]  D. Childers,et al.  Seasonally varied controls of climate and phenophase on terrestrial carbon dynamics: modeling eco-climate system state using Dynamical Process Networks , 2015, Landscape Ecology.

[72]  A. Porporato,et al.  Strategies of a Bornean tropical rainforest water use as a function of rainfall regime: isohydric or anisohydric? , 2012, Plant, cell & environment.

[73]  Thomas Foken,et al.  Documentation and Instruction Manual of the Eddy-Covariance Software Package TK3 (update) , 2011 .

[74]  Ajit Subramaniam,et al.  Causes and impacts of the 2005 Amazon drought , 2008 .

[75]  W. Massman,et al.  Uncertainty in Eddy Covariance Flux Estimates Resulting from Spectral Attenuation , 2004 .

[76]  John Moncrieff,et al.  Averaging, Detrending, and Filtering of Eddy Covariance Time Series , 2004 .

[77]  W. Oechel,et al.  FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities , 2001 .

[78]  E. K. Webb,et al.  Correction of flux measurements for density effects due to heat and water vapour transfer , 1980 .