Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Watson-Parris, Duncan"'
Autor:
Christensen, Matthew W., Gettelman, Andrew, Cermak, Jan, Dagan, Guy, Diamond, Michael, Douglas, Alyson, Feingold, Graham, Glassmeier, Franziska, Goren, Tom, Grosvenor, Daniel P., Gryspeerdt, Edward, Kahn, Ralph, Li, Zhanqing, Ma, Po-Lun, Malavelle, Florent, McCoy, Isabel L., McCoy, Daniel T., McFarquhar, Greg, Mülmenstädt, Johannes, Pal, Sandip, Possner, Anna, Povey, Adam, Quaas, Johannes, Rosenfeld, Daniel, Schmidt, Anja, Schrödner, Roland, Sorooshian, Armin, Stier, Philip, Toll, Velle, Watson-Parris, Duncan, Wood, Robert, Yang, Mingxi, Yuan, Tianle
Aerosol–cloud interactions (ACIs) are considered to be the most uncertain driver of present-day radiative forcing due to human activities. The nonlinearity of cloud-state changes to aerosol perturbations make it challenging to attribute causality i
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A82040
https://ul.qucosa.de/api/qucosa%3A82040/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A82040/attachment/ATT-0/
Multi-fidelity surrogate modeling aims to learn an accurate surrogate at the highest fidelity level by combining data from multiple sources. Traditional methods relying on Gaussian processes can hardly scale to high-dimensional data. Deep learning ap
Externí odkaz:
http://arxiv.org/abs/2402.18846
Autor:
Chaudhry, Muhammad Ahmed, Kim, Lyna, Irvin, Jeremy, Ido, Yuzu, Chu, Sonia, Isobe, Jared Thomas, Ng, Andrew Y., Watson-Parris, Duncan
Clouds play a significant role in global temperature regulation through their effect on planetary albedo. Anthropogenic emissions of aerosols can alter the albedo of clouds, but the extent of this effect, and its consequent impact on temperature chan
Externí odkaz:
http://arxiv.org/abs/2401.14486
Emulators, or reduced complexity climate models, are surrogate Earth system models that produce projections of key climate quantities with minimal computational resources. Using time-series modelling or more advanced machine learning techniques, data
Externí odkaz:
http://arxiv.org/abs/2307.10052
Exploring the climate impacts of various anthropogenic emissions scenarios is key to making informed decisions for climate change mitigation and adaptation. State-of-the-art Earth system models can provide detailed insight into these impacts, but hav
Externí odkaz:
http://arxiv.org/abs/2212.03369
Autor:
Tazi, Kenza, Salas-Porras, Emiliano Díaz, Braude, Ashwin, Okoh, Daniel, Lamb, Kara D., Watson-Parris, Duncan, Harder, Paula, Meinert, Nis
Pyrocumulonimbus (pyroCb) clouds are storm clouds generated by extreme wildfires. PyroCbs are associated with unpredictable, and therefore dangerous, wildfire spread. They can also inject smoke particles and trace gases into the upper troposphere and
Externí odkaz:
http://arxiv.org/abs/2211.13052
Autor:
Salas-Porras, Emiliano Díaz, Tazi, Kenza, Braude, Ashwin, Okoh, Daniel, Lamb, Kara D., Watson-Parris, Duncan, Harder, Paula, Meinert, Nis
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 tools to understand the causal drivers of pyroCb formation. This include
Externí odkaz:
http://arxiv.org/abs/2211.08883
Autor:
Harder, Paula, Watson-Parris, Duncan, Stier, Philip, Strassel, Dominik, Gauger, Nicolas R., Keuper, Janis
Aerosol particles play an important role in the climate system by absorbing and scattering radiation and influencing cloud properties. They are also one of the biggest sources of uncertainty for climate modeling. Many climate models do not include ae
Externí odkaz:
http://arxiv.org/abs/2207.11786
Autor:
Bouabid, Shahine, Watson-Parris, Duncan, Stefanović, Sofija, Nenes, Athanasios, Sejdinovic, Dino
Aerosol-cloud interactions constitute the largest source of uncertainty in assessments of the anthropogenic climate change. This uncertainty arises in part from the difficulty in measuring the vertical distributions of aerosols, and only sporadic ver
Externí odkaz:
http://arxiv.org/abs/2205.04296
Autor:
Jesson, Andrew, Manshausen, Peter, Douglas, Alyson, Watson-Parris, Duncan, Gal, Yarin, Stier, Philip
Aerosol-cloud interactions include a myriad of effects that all begin when aerosol enters a cloud and acts as cloud condensation nuclei (CCN). An increase in CCN results in a decrease in the mean cloud droplet size (r$_{e}$). The smaller droplet size
Externí odkaz:
http://arxiv.org/abs/2110.15084