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. 2017 Dec 11;7:17347. doi: 10.1038/s41598-017-17599-1

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© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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HL cluster pixel distribution and co-variability of AOD-Precipitation: Spatial distribution of pixels with high AOD and low precipitation anomaly along with cluster averaged temporal series for individual years: (a) and (b) Seasonal averaged spatial distribution of HL overlapping clusters for years 2004, 2005 and 2009 for AOD and precipitation respectively. (c) Cluster averaged time series over HL cluster (precipitation shifted by lag corresponding to maximum correlation magnitude). The composite plot of pixels shows that the high AOD-low precipitation covers wide area across the country. In the time series plot between AOD and precipitation anomaly, precipitation anomaly was shifted by the lag corresponding to maximum correlation coefficient magnitude. Multiple instances of enhanced AOD associated with suppressed precipitation can be seen in Fig. 1(c). Figure was created using R statistical tool v3.3.1 (https://www.r-project.org/) and FERRET v7.0 (http://www.ferret.noaa.gov/Ferret/).