hyunju-jung/itcz-diagnostic

Find links important for the ITCZ

ITCZ-diagnostic

This tool allows you to identify sources of rainfall differences in simulations, which is based on a conceptual framework by Emanuel, 2019.
A detailed description of the tool can be found in Jung et al., 2023.

Using this tool, you can calculate convective updraft mass flux $M_u$ and precipitation efficiency $\epsilon_p$ in a physically consistent way through the equations:

$$\eqalign{M_u &= \frac{1}{1-\epsilon_p} \Big( \frac{F_\mathrm{h} }{h_\mathrm{b}-h_\mathrm{m}} - \frac{\dot Q}{S}\Big), \\ \\ \mathrm{Pr} &= \epsilon_p M_u \langle q_v \rangle.}$$

Input variables:

Symbols	Variable name
$F_\mathrm{h}$	Surface enthalpy fluxes
$h_\mathrm{b}$	Moist static energy in the boundary layer
$h_\mathrm{m}$	Moist static energy in the free troposphere
$\dot Q$	Radiative cooling rate
$S$	Dry static stability
$\mathrm{Pr}$	Precipitation rate
$\langle q_v \rangle$	Column averaged specific humidity

Output variables:

Symbols	Variable name
$M_u$	Convective updraft mass flux
$\epsilon_p$	Precipitation efficiency

The core script is itcz-tools/KE_framework_full.py, but all input variables have to be specified. Currently, the code is not flexible.

itcz-diagnostic's Issues

Some files contain two time steps in E5

Initialization of the 5-km runs

Both P5 and E5 are initialized with P13.