JAG2025-cloud-top-properties

This repository provides necessary code and datasets for transparency and reproducibility of our work -- using MODIS/Aqua and CALIOP/CALIPSO to estimate cloud top height, tempearture, and pressure.<br><br>CTH2017065.0650.npy, CTP2017065.0650.npy, CTT2017065.0650.npy is the CTH, CTP, CTT produced using the proposed algorithm, saved as numpy npy format. time stamp: UTC 06:50, 2017 day 65.<br><br>LUT2010.txt, LUT2012.txt, LUT2014.txt are used to form the total LUT. And they are generated using the code "BuildBUT.py"<br><br>BuildBUT.py is the code used for generating the LUT. The meaning of each colomn of the LUTs can be found in this file. And the key code is: Xdata = Xdata[[0,1,5,6,19,21,22,23,28,30,32,33,36],:,:] and LUT[line] = np.hstack((data,doy,dem,sza, CTH,CTT,CTP))<br><br>ApplyLUT.py provides a way to apply the propsed LUT algorithm.<br><br>Validate.py is used to validate the proposed algorithm and MODIS operational product(MYD06) against CALIOP/CALIPSO measurements. And the key code is <br> Validate[line] = [calipso_cth,calipso_ctt,calipso_ctp, lut_cth,lut_ctt,lut_ctp, cb_cth,cb_ctt,cb_ctp, modis_cth,modis_ctt,modis_ctp, DoY,sza,type0,cot,layer]<br>The corresponding result of this code is Validate2024.txt.<br><br>CloudPhase1.py further provides the way to discuss the accuracy of the algirothm in different conditions. And the key code is <br>Validate[line] = [calipso_cth,calipso_ctt,calipso_ctp, lut_cth,lut_ctt,lut_ctp, modis_cth,modis_ctt,modis_ctp, DoY,sza,type0,cot,layer,cph,cfr,cgt]<br>The corresponding result of this code is Validate2025.txt.<br>