Atmospheric Thermal Changes Over the Indian Region Prior to the Monsoon Onset as Observed by Satellite Sounding Data

Joshi, P. C.; Simon, B.; Desai, P. S.

doi:10.1002/joc.3370100106

Cited by 14 publications

(6 citation statements)

References 6 publications

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“…In general, the South Asian summer monsoon is associated with two important synoptic features: 1) the Tibetan high aloft in the upper troposphere over the plateau of Tibet (Flohn 1957), and 2) a heat low over the area extending from Somalia across southern Arabia to Pakistan and northwestern India including the Aravalli mountain ranges (Sajjad 2011;Joshi et al 1990). In the present study, the two features are found to be sensitive to the premonsoonal soil moisture condition.…”

Section: A Spatial Distributionmentioning

confidence: 99%

“…The higher gain in region W compared to region E is as a consequence of a lower moisture influx amount in region W. The results in the region N yield relatively high regional recycling ratios b of around 0.09 (CTL), which arises because the moisture influx is low and the TABLE 2. Changes in areal averaged (JJAS;1990 water budgets, single precipitation process terms, and the monsoon onset dates (Onset) for each analysis domain between the perturbed and the control simulations. The efficiency effect, remote effect, and surface effect as defined in Eq.…”

Section: October 2012 a S H A R A F E T A Lmentioning

confidence: 99%

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Soil Moisture–Precipitation Feedback Processes in the Indian Summer Monsoon Season

Asharaf

Dobler

Ahrens

2012

Journal of Hydrometeorology

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Soil moisture can influence precipitation through a feedback loop with land surface evapotranspiration. A series of numerical simulations, including soil moisture sensitivity experiments, have been performed for the Indian summer monsoon season (ISM). The simulations were carried out with the nonhydrostatic regional climate model Consortium for Small-Scale Modeling (COSMO) in climate mode (COSMO-CLM), driven by lateral boundary conditions derived from the ECMWF Interim reanalysis (ERA-Interim). Positive as well as negative feedback processes through local and remote effects are shown to be important. The regional moisture budget studies have exposed that changes in precipitable water and changes in precipitation efficiency vary in importance, in time, and in space in the simulations for India. Overall, the results show that the premonsoonal soil moisture has a significant influence on the monsoonal precipitation, and thus confirmed that modeling of soil moisture is essential for reliable simulation and forecasting of the ISM.

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Section: A Spatial Distributionmentioning

confidence: 99%

Section: October 2012 a S H A R A F E T A Lmentioning

confidence: 99%

Soil Moisture–Precipitation Feedback Processes in the Indian Summer Monsoon Season

Asharaf

Dobler

Ahrens

2012

Journal of Hydrometeorology

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“…It has been proposed by various researchers that the onset date could be predicted in terms of antecedent circulation (Kung andSharif 1980, 1982), moisture (Kumar 2004;Simon et al 2006), thermal features (Joshi et al 1990;Luo and Yanai 1984), and premonsoon thunderstorm activity (Ghanekar et al 2003). Several studies have reported on the prediction of the onset date of the summer monsoon over India using statistical methods (Ghanekar et al 2003;Pai and Rajeevan 2009;Raju et al 2007;Ramesh et al 1996).…”

Section: Introductionmentioning

confidence: 99%

Development and Evaluation of an Objective Criterion for the Real-Time Prediction of Indian Summer Monsoon Onset in a Coupled Model Framework

et al. 2015

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This study reports an objective criterion for the real-time extended-range prediction of monsoon onset over Kerala (MOK), using circulation as well as rainfall information from the 16 May initial conditions of the Grand Ensemble Prediction System based on the coupled model CFSv2. Three indices are defined, one from rainfall measured over Kerala and the others based on the strength and depth of the low-level westerly jet over the Arabian Sea. While formulating the criterion, the persistence of both rainfall and low-level wind after the MOK date has been considered to avoid the occurrence of ''bogus onsets'' that are unrelated to the largescale monsoon system. It is found that the predicted MOK date matches well with the MOK date declared by the India Meteorological Department, the authorized principal weather forecasting agency under the government of India, for the period 2001-14. The proposed criterion successfully avoids predicting bogus onsets, which is a major challenge in the prediction of MOK. Furthermore, the evolution of various model-predicted large-scale and local meteorological parameters corresponding to the predicted MOK date is in good agreement with that of the observation, suggesting the robustness of the devised criterion and the suitability of CFSv2 model for MOK prediction. However, it should be noted that the criterion proposed in the present study can be used only in the dynamical prediction framework, as it necessitates input data on the future evolution of rainfall and low-level wind.

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“…Detailed characterization of inter tropical convergence zone has been carried out using satellite data. The INSAT and NOAA data have brought out unique nature of monsoon onset with large-scale changes in wind and moisture profiles in lower troposphere prior to monsoon onset 14,15 . The critical role-played by sea surface temperature in Indian Ocean and Pacific Ocean regions were clearly brought out by several studies.…”

Section: Weather and Climatementioning

confidence: 99%

Indian Earth Observation Programme towards societal benefits: a GEOSS perspective

Navalgund

2006

SPIE Proceedings

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Indian Earth Observation (EO) programme, since its inception has been applications driven and national development has been its main motivation. In order to meet the observational requirements of many societal benefit areas, a series of EO systems have been launched in both polar and geo synchronous orbits. Starting from Bhaskara, the first experimental EO satellite in 1979 to Cartosat-1 successfully launched in May 2005, a large number of sensors operating in optical and microwave spectral regions, providing data at resolutions ranging from 1 km to a meter have been built and flown. Data reception and processing facilities have been established not only in the country but also at various international ground stations. Remotely sensed data and its derived information have become an integral component of the National Natural Resources Management System (NNRMS), a unique concept evolved and established in the country. The paper discusses the evolution of IRS satellite systems, application programmes in different societal benefit areas and the road ahead. How it complements and supplements the international efforts in the context of Global Earth Observation System of Systems has also been indicated.

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Atmospheric Thermal Changes Over the Indian Region Prior to the Monsoon Onset as Observed by Satellite Sounding Data

Cited by 14 publications

References 6 publications

Soil Moisture–Precipitation Feedback Processes in the Indian Summer Monsoon Season

Soil Moisture–Precipitation Feedback Processes in the Indian Summer Monsoon Season

Development and Evaluation of an Objective Criterion for the Real-Time Prediction of Indian Summer Monsoon Onset in a Coupled Model Framework

Indian Earth Observation Programme towards societal benefits: a GEOSS perspective

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