4 citations · 4 across the 4 of their papers we have counts for
4 papers
Estimation of temperature and precipitation uncertainties using quantile neural networks
Andrew Brettin, Laure Zanna
Extreme events pose significant risks and are challenging to predict. Assessing climate hazards requires placing quantitative constraints on geophysical fields under observable but…
Uncertainty-permitting machine learning reveals sources of dynamic sea level predictability across daily-to-seasonal timescales
Andrew Brettin, Laure Zanna, Elizabeth A. Barnes
Reliable dynamic sea level forecasts are hindered by numerous sources of uncertainty on daily-to-seasonal timescales (1-180 days) due to atmospheric boundary conditions and interna…
Exploring the non-stationarity of coastal sea level probability distributions
Fabrizio Falasca, Andrew Brettin, Laure Zanna +3
Studies agree on a significant global mean sea level rise in the 20th century and its recent 21st century acceleration in the satellite record. At regional scale, the evolution of…
Nitrogen-induced hysteresis in grassland biodiversity: a theoretical test of litter-mediated mechanisms
Katherine Meyer, James Broda, Andrew Brettin +6
The global rise in anthropogenic reactive nitrogen (N) and the negative impacts of N deposition on terrestrial plant diversity are well-documented. The R* theory of resource compet…