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Possible relation between land surface feedback and the post‐landfall structure of monsoon depressions
Author(s) -
Chang HsinI,
Niyogi Dev,
Kumar Anil,
Kishtawal C. M.,
Dudhia Jimy,
Chen Fei,
Mohanty U. C.,
Shepherd Marshall
Publication year - 2009
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2009gl037781
Subject(s) - landfall , weather research and forecasting model , environmental science , climatology , monsoon , antecedent (behavioral psychology) , storm , tropical cyclone , meteorology , atmospheric sciences , geology , geography , psychology , developmental psychology
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.