Arlindo M. da Silva
0000-0002-3381-4030
NASA Goddard Space Flight Center
5 papers found
Refreshing results…
Airborne observations during KORUS-AQ show that aerosol optical depths are more spatially self-consistent than aerosol intensive properties
Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire
An overview of the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) project: aerosol–cloud–radiation interactions in the southeast Atlantic basin
Chemical Mechanisms and Their Applications in the Goddard Earth Observing System (GEOS) Earth System Model
Monte Carlo Bayesian inference on a statistical model of sub-gridcolumn moisture variability using high-resolution cloud observations. Part 2: Sensitivity tests and results: Bayesian Inference on Sub-gridcolumn Moisture Variability-2
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