Articles | Volume 26, issue 16
Research article
29 Aug 2022
Research article |  | 29 Aug 2022

Breakdown in precipitation–temperature scaling over India predominantly explained by cloud-driven cooling

Sarosh Alam Ghausi, Subimal Ghosh, and Axel Kleidon

Data sets

IMD Gridded Rainfall dataset, Climate Monitoring and Prediction Group, Indian Meteorological Department

APHRODITE daily rainfall data (V_1901) A. Yatagai, K. Kamiguchi, O. Arakawa, A. Hamada, N. Yasutomi, and A. Kitoh

TRMM (TMPA) Rainfall Estimate L3 3-hour 0.25-degree x 0.25-degree V7 Tropical Rainfall Measuring Mission (TRMM)

GSOD Rainfall data National Centers for Environmental Information (NCEI), National Oceanic and Atmospheric Administration (NOAA)

CERES_EBAF_Edition4.1 NASA Langley Research Center, Atmospheric Science Data Center

ERA5-Land hourly data from 1981 to present J. Muñoz Sabater

CER_SYN1deg-Day_Terra-Aqua-MODIS_Edition4A NASA Langley Research Center, Atmospheric Science Data Center

Short summary
The observed response of extreme precipitation to global warming remains unclear with significant regional variations. We show that a large part of this uncertainty can be removed when the imprint of clouds in surface temperatures is removed. We used a thermodynamic systems approach to remove the cloud radiative effect from temperatures. We then found that precipitation extremes intensified with global warming at positive rates which is consistent with physical arguments and model simulations.