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Satellite observations of surface reflected solar radiation contain information about variability in the absorption of solar radiation by vegetation. Understanding the causes of variability is important for models that use these data to drive land surface fluxes or for benchmarking prognostic vegetation models. Here we evaluated the interannual variability(More)
1 A new high-resolution Geophysical Fluid Dynamics Laboratory (GFDL) coupled model 2 (HiFLOR) has been developed and used to investigate potential skill in simulation and 3 prediction of tropical cyclone (TC) activity. HiFLOR comprises of high-resolution (~25-km 4 mesh) atmosphere and land components and a more moderate-resolution (~100-km mesh) sea 5 ice(More)
Skillful seasonal predictions of surface temperature and precipitation over land are in particular demand due to their influences on societal factors (such as agriculture, the energy sector and transportation) and ecosystems. Therefore, understanding and predicting future year-to-year of temperature and precipitation is central to NOAA's mission and highly(More)
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