Thesis (Ph.D.)--University of Washington, 2013How does rain change with global warming? This dissertation investigates the rate of global-mean precipitation increase, changes in atmospheric radiative cooling, and the changes in frequency and intensity of rain events. We examine changes in global-mean precipitation and atmospheric radiative cooling in comprehensive climate model simulations. In a realistic forcing scenario including both greenhouse gases and aerosols, clear-sky absorption of shortwave radiation is correlated with the rate of global-mean precipitation increase. In a scenario forced by increasing carbon dioxide alone, we make radiative transfer calculations to separate the responses of clear-sky atmospheric radiative cooling d...
International audienceDifferent climate drivers influence precipitation in different ways. Here we u...
A cloud-resolving model is used to investigate the effect of warming on high percentiles of precipit...
Cloud processes are the largest source of uncertainty in quantifying the global temperature response...
Climate change induces shifts in the statistical distribution of rain in the form of more intense ra...
Abstract. While the specific humidity of the atmosphere is expected to increase as the climate warms...
Changes in global-mean precipitation are strongly constrained by global radiative cooling, while reg...
Radiative forcing is a useful tool for predicting equilibrium global temperature change. However, it...
Global climate models robustly predict that global mean precipitation should increase at roughly 2-3...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Earth, Atmospheric, and Planeta...
The change of global-mean precipitation under global warming and interannual variability is predomin...
[1] Radiative forcing is a useful tool for predicting equilibrium global temperature change. However...
Global climate models simulate a robust increase of global mean precipitation of about 1.5 to 2% per...
Recently analyzed satellite-derived global precipitation datasets from 1987 to 2006 indicate an incr...
Abstract Robust and physically understandable responses of the global atmospheric water cycle to a w...
International audienceDifferent climate drivers influence precipitation in different ways. Here we u...
A cloud-resolving model is used to investigate the effect of warming on high percentiles of precipit...
Cloud processes are the largest source of uncertainty in quantifying the global temperature response...
Climate change induces shifts in the statistical distribution of rain in the form of more intense ra...
Abstract. While the specific humidity of the atmosphere is expected to increase as the climate warms...
Changes in global-mean precipitation are strongly constrained by global radiative cooling, while reg...
Radiative forcing is a useful tool for predicting equilibrium global temperature change. However, it...
Global climate models robustly predict that global mean precipitation should increase at roughly 2-3...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Earth, Atmospheric, and Planeta...
The change of global-mean precipitation under global warming and interannual variability is predomin...
[1] Radiative forcing is a useful tool for predicting equilibrium global temperature change. However...
Global climate models simulate a robust increase of global mean precipitation of about 1.5 to 2% per...
Recently analyzed satellite-derived global precipitation datasets from 1987 to 2006 indicate an incr...
Abstract Robust and physically understandable responses of the global atmospheric water cycle to a w...
International audienceDifferent climate drivers influence precipitation in different ways. Here we u...
A cloud-resolving model is used to investigate the effect of warming on high percentiles of precipit...
Cloud processes are the largest source of uncertainty in quantifying the global temperature response...