Results 71 to 80 of about 1,772 (264)
‘Super-Parameterization’ – a Better Way to Simulate Regional Extreme Precipitation?
Extreme precipitation is generally underestimated by current climate models relative to observations of present-day rainfall distributions. Possible causes of this systematic error include the convective parameterization in these models that have been ...
Michael F. Wehner +3 more
doaj
Epistemic and aleatoric uncertainty quantification in weather and climate models
Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield +1 more
wiley +1 more source
Ensemble reliability and the signal‐to‐noise paradox in ECMWF subseasonal forecasts
We derive a general expression for the ratio of predictable components (RPC) in terms of correlation, spread–error ratio, and total variance ratio. Physical constraints on the admissible solutions (i.e., real‐valued and non‐negative variances) provide a mechanism to identify statistically paradoxical sample combinations of reliability and correlation ...
Christopher D. Roberts, Frederic Vitart
wiley +1 more source
The Impact of Model Uncertainties on Analyzed Data in a Global Data Assimilation System
The impact of model uncertainties on analyzed data is investigated using a global data assimilation system. This issue is explored in a 3D-Var system based on the National Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) system ...
Song-You Hong +4 more
doaj +1 more source
Unexpected sea fog in the west coast of South Korea had a huge impact on the transportations in the Seoul–Incheon metropolitan area. We reproduced successfully the formation and evolution of a sea event with a transition of air–sea temperature difference using the Weather Research and Forecasting model.
Jeonghoe Kim +3 more
wiley +1 more source
Enhanced Convective Microphysics Scheme and Its Impacts on Mean Climate in E3SM
To improve the representation of microphysical processes in convective clouds and their interaction with aerosol and stratiform clouds, a two‐moment convective microphysics parameterization (CMP) scheme developed by Song and Zhang (2011, https://doi.org ...
Xiaoliang Song +3 more
doaj +1 more source
With a minimal physics model and a high‐resolution fully 3D simulation, we demonstrate that the marine atmospheric boundary layer (MABL) response to sea‐surface temperature (SST) variability displays a dependence on the horizontal scales of motion.
Alessandro Storer +3 more
wiley +1 more source
An updated parameterization of the unstable atmospheric surface layer in the Weather Research and Forecasting (WRF) modeling system [PDF]
The accurate parameterization of atmospheric surface layer processes is crucial for weather forecasts using numerical weather prediction models. Here, an attempt has been made to improve the surface layer parameterization in the Weather Research and ...
P. Namdev +3 more
doaj +1 more source
An offline methodology is applied to estimate parameters of a convective gravity‐wave scheme using momentum flux (MF) observations from constant‐level balloons (left panels: pdfs of east and west MFs in green from observations and black from EnKF). The approach integrates an ensemble Kalman filter with an expectation‐maximization algorithm and permits ...
F. Lott, P. Tandeo, M. Pulido, D. Bardet
wiley +1 more source
Aerosol effects on clouds and precipitation during the 1997 smoke episode in Indonesia [PDF]
In 1997/1998 a severe smoke episode due to extensive biomass burning, especially of peat, was observed over Indonesia. September 1997 was the month with the highest aerosol burden.
H.-F. Graf, J. Yang, T. M. Wagner
doaj

