Now showing items 1-4 of 4

    • Amazon Forest Response to Changes in Rainfall Regime: Results from an Individual-Based Dynamic Vegetation Model 

      Longo, Marcos (2014-02-25)
      The Amazon is the largest tropical rainforest in the world, and thus plays a major role on global water, energy, and carbon cycles. However, it is still unknown how the Amazon forest will respond to the ongoing changes ...
    • Coupled weather research and forecasting–stochastic time-inverted lagrangian transport (WRF–STILT) model 

      Nehrkorn, Thomas; Eluszkiewicz, Janusz; Wofsy, Steven Charles; Lin, John C.; Gerbig, Christoph; Longo, Marcos; Freitas, Saulo (Springer Nature, 2010)
      This paper describes the coupling between a mesoscale numerical weather prediction model, the Weather Research and Forecasting (WRF) model, and a Lagrangian Particle Dispersion Model, the Stochastic Time-Inverted Lagrangian ...
    • Ecosystem heterogeneity determines the ecological resilience of the Amazon to climate change 

      Levine, Naomi; Zhang, Ke; Longo, Marcos; Baccini, Alessandro; Phillips, Oliver L.; Lewis, Simon L.; Alvarez-Dávila, Esteban; Segalin de Andrade, Ana Cristina; Brienen, Roel J. W.; Erwin, Terry L.; Feldpausch, Ted R.; Monteagudo Mendoza, Abel Lorenzo; Nuñez Vargas, Percy; Prieto, Adriana; Silva-Espejo, Javier Eduardo; Malhi, Yadvinder; Moorcroft, Paul R (Proceedings of the National Academy of Sciences, 2015)
      Understanding how changes in climate will affect terrestrial ecosystems is particularly important in tropical forest regions, which store large amounts of carbon and exert important feedbacks onto regional and global ...
    • Sources of Carbon Monoxide and Formaldehyde in North America Determined from High-Resolution Atmospheric Data 

      Miller, Scot M.; Matross, Daniel M.; Andrews, Arlyn E.; Millet, Dylan B.; Longo, Marcos; Gottlieb, Ellaine W.; Hirsch, Adam I.; Gerbig, Christoph; Lin, John C.; Daube, Bruce C.; Hudman, Rynda C.; Dias, Pedro Leite da Silva; Chow, Victoria; Wofsy, Steven (Copernicus Publications, 2008)
      We analyze the North American budget for carbon monoxide using data for CO and formaldehyde concentrations from tall towers and aircraft in a model-data assimilation framework. The Stochastic Time-Inverted Lagrangian ...