Possible relation between land surface feedback and the post-landfall structure of monsoon depressions

Hsin I. Chang, Dev Niyogi, Anil Kumar, C. M. Kishtawal, Jimy Dudhia, Fei Chen, U. C. Mohanty, Marshall Shepherd

Research output: Contribution to journalArticlepeer-review

50 Scopus citations


The effect of pre-storm land surface on the monsoon depressions (MDs) is studied. The Weather Research Forecast (WRF) model was configured with two nested domains to explore the sensitivity of MDs to antecedent soil moisture and land surface representation for selected three landfalling MDs during August 2006. Results indicate that WRF had good ability to simulate the MDs, and the post landfall model response was sensitive to antecedent soil moisture and modestly dependent on land surface representations. This was verified by reviewing the climatology of 125 MDs (1970-2003) which revealed that if the surface received heavier rainfall a week ahead of MD landfall, the inland intensity was maintained for a longer duration. The gradient in surface heat fluxes as the depression made landfall affected the evolution of the MDs over India. In particular, warmer, wetter (cooler, drier) land surface can intensify (weaken) the landfalling MDs over the Indian monsoon region.

Original languageEnglish (US)
Article numberL15826
JournalGeophysical Research Letters
Issue number15
StatePublished - Aug 16 2009
Externally publishedYes

ASJC Scopus subject areas

  • Geophysics
  • General Earth and Planetary Sciences


Dive into the research topics of 'Possible relation between land surface feedback and the post-landfall structure of monsoon depressions'. Together they form a unique fingerprint.

Cite this