68 citations · 95 across the 6 of their papers we have counts for
6 papers
Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds
Kenza Tazi, Emiliano Díaz Salas-Porras, Ashwin Braude +5
Pyrocumulonimbus (pyroCb) clouds are storm clouds generated by extreme wildfires. PyroCbs are associated with unpredictable, and therefore dangerous, wildfire spread. They can also…
Identifying the Causes of Pyrocumulonimbus (PyroCb)
Emiliano Díaz Salas-Porras, Kenza Tazi, Ashwin Braude +5
A first causal discovery analysis from observational data of pyroCb (storm clouds generated from extreme wildfires) is presented. Invariant Causal Prediction was used to develop to…
Zero-Shot Learning of Aerosol Optical Properties with Graph Neural Networks
Kara D. Lamb, Pierre Gentine
Aerosols sourced from combustion such as black carbon (BC) are important short-lived climate forcers whose direct radiative forcing and atmospheric lifetime depend on their morphol…
Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder
Kara Lamb, Garima Malhotra, Athanasios Vlontzos +7
High energy particles originating from solar activity travel along the the Earth's magnetic field and interact with the atmosphere around the higher latitudes. These interactions o…
Prediction of GNSS Phase Scintillations: A Machine Learning Approach
Kara Lamb, Garima Malhotra, Athanasios Vlontzos +7
A Global Navigation Satellite System (GNSS) uses a constellation of satellites around the earth for accurate navigation, timing, and positioning. Natural phenomena like space weath…
Laboratory measurements of HDO/HO isotopic fractionation during ice deposition in simulated cirrus clouds
Kara Lamb, Ben Clouser, Maximilien Bolot +5
The stable isotopologues of water have been used in atmospheric and climatic studies for over fifty years, because the temperature-dependent preferential condensation of heavy isot…