Skip to content

Global empirical models for tropopause height determination

Notifications You must be signed in to change notification settings

pjmateus/global_tropopause_model

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

28 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

global tropopause models

Global empirical models for tropopause height determination

The models were developed at the Dom Luiz Institute (IDL), Faculty of Sciences of the University of Lisbon (FCUL), by Pedro Mateus (pjmateus@fc.ul.pt), Virgílio Mendes (vmendes@fc.ul.pt) and Carlos Pires (clpires@fc.ul.pt). The same code is available in two programming languages, Matlab and Python. The following code contains guidelines for running each of these codes.

Matlab example code to call the lookup-table-model (BTH) function

lat = 38.5519;  % latitude, in degrees [-90..90]  (can be an array)
doy = 150;      % day-of-year          [1..366]   (can be an array, same size as lat)
pvu = 3.5;      % PVU value            [1.5..3.5] (optional, not an array)
z = bth_model(lat, doy, pvu)

Matlab example code to call the sigmoid-model (STH) function

z = sth_model(lat, doy, pvu)

Python code to call the lookup-table-model (BTH) function

lat = 38.5519;  # latitude, in degrees [-90..90]  (can be an array)
doy = 150;      # day-of-year          [1..366]   (can be an array, same size as lat)
pvu = 3.5;      # PVU value            [1.5..3.5] (optional, not an array)
z = bth_model(lat, doy, pvu)

Python example code to call the sigmoid-model (STH) function

z = sth_model(lat, doy, pvu)

If you have any questions do not hesitate to contact me by email pjmateus@fc.ul.pt

For details see: Mateus, P.; Mendes, V.B.; Pires, C.A.L. Global Empirical Models for Tropopause Height Determination. Remote Sens. 2022, 14, 4303. https://doi.org/10.3390/rs14174303