Processes and biases in the simulation of Madden-Julian Oscillation observed during AMIE/DYNAMO.
Authors
Larry Berg — Pacific Northwest National Laboratory
Samson M Hagos — Pacific Northwest National Laboratory
Zhe Feng — Pacific Northwest National Laboratory
Chun Zhao — Pacific Northwest National Laboratory
Matus Martini — Pacific Northwest National Laboratory
Category
MJO: Madden-Julian Oscillation
Description
Moisture mode instability, wind induced surface heat exchange (WISHE) and convective momentum transport(CMT) are believed to be among key processes that constitute MJO dynamics. In this study, AMIE/DYNAMO observations, a regional cloud-permitting-model (CPM), state-of-the-art cumulus parameterizations and a linear statistical models are used to examine the progression of model biases through these processes and to quantify the comparative contributions of errors in the representation of these processes to the overall model biases. Strong correlation among root mean square errors of modeled precipitation, saturation fraction, evaporation and surface wind speeds are found. The contribution of model representation of these process biases to the overall model error vary from scheme to scheme. In most schemes, these process biases positively feedback on each other, in few others they partially cancel each other.
