Tracks of Indian Summer monsoon Low-Pressure Systems from ERA5
Authors/Creators
- 1. Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, New Delhi, India
- 2. Earth and Climate Sciences, Indian Institute of Science Education and Research Pune, Pune, India
- 3. Department of Chemical Engineering and Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi, India
Description
This repository contains the codes and dataset as explained below:
1) This dataset contains downstream and in situ LPS tracks over the Bay of Bengal (BoB) classified using the algorithm developed by Srujan et al. (2021) from 1979-2017 using the ERA5 reanalysis dataset. The LPS are tracked from mean sea level pressure (MSLP) using the algorithm developed by Praveen et al. (2015).
2) This also contains Principal components (PCs) of Rossby filtered OLR.
3) The code to compute Transfer Entropy between PC1 of Rossby filtered OLR over West Pacific region and MSLP anomaly over BoB.
4) Codes and data to perform Kolmogorov Smirnov (KS) test.
References:
Praveen, V., Sandeep, S., & Ajayamohan, R. S. (2015). On the relationship between mean monsoon precipitation and low pressure systems in climate model simulations. Journal of Climate, 28(13), 5305-5324.
Srujan, K. S. S. S., Sandeep, S., & Suhas, E. (2021). Downstream and In Situ Genesis of Monsoon Low‐Pressure Systems in Climate Models. Earth and Space Science, 8(9), e2021EA001741.
Files
ERA5_lps_initiations_downstream.txt
Files
(1.1 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:2b3575d83961e2dce2438167113ab578
|
4.2 kB | Preview Download |
|
md5:314c5d9e7eeeea54c2fb04798cf4bc65
|
7.9 kB | Preview Download |
|
md5:7670bb782eac05b326df009e669396c2
|
68.4 kB | Preview Download |
|
md5:515b424197275bdddf11e365b1130ff2
|
132.2 kB | Preview Download |
|
md5:b15ff44376cdfc9074b6c1a2e7d7b8f8
|
58.6 kB | Preview Download |
|
md5:f6551c65f86b3efa9b39358468b8a8df
|
22.9 kB | Preview Download |
|
md5:1234ec72f6f23ea44c30833bf46d8db2
|
779.2 kB | Download |
|
md5:c2740ba35b0b07b42277bb2eff190f0a
|
43.4 kB | Preview Download |