3 edition of Satellite observations of a monsoon depression found in the catalog.
Satellite observations of a monsoon depression
|Series||NASA-CR -- 173590., NASA contractor report -- NASA CR-173590.|
|Contributions||United States. National Aeronautics and Space Administration., University of Virginia. Dept. of Environmental Sciences.|
|The Physical Object|
The ST agrees well with observations across all the regions with the exception of south. Figure 6a-l illustrates the spatial distribution of SM climatology (–) during monsoon season from ESACCI 40 satellite merged product, GLDAS, and the SM/ST dataset (LDAS) developed in this study. Seasonal anomaly of SM for different monsoon seasons. The monsoon depression is the major contributor for ISM rainfall, therefore shown in Fig. 2a. In the text, we mean both lows and monsoon depression by referring to LPS.
Abstract  Observations of monsoon low-pressure systems (MLPSs) including monsoon depressions (MDs) that formed in the Bay of Bengal during the – period, and the gridded analysis of daily rainfall fields for the same period, were used to identify the association of antecedent rainfall (1 week average rainfall prior to the genesis of MLPS) with the genesis of MLPS . A comparison of the impacts of radiosonde and AMSU radiance observations in GSI based 3DEnsVar and 3DVar data assimilation systems for NCEP GFS. Advances in Meteorology, Kutty G & Chandrasekar, A. (). Impact of assimilation of ATOVS temperature and humidity and SSM/I total precipitable water on the simulation of a monsoon depression.
The Indian summer monsoon is part of the Asian summer monsoon, the strongest monsoon system in the world, and shapes the health and wealth of one-sixth of the world’s population. Though there exists large inherent variability of per cent across the Indian land mass, monsoon has been considered a stable and robust system in the past. “It is meant for intense observations focussing on existing model deficiencies. In the current prediction models, monsoon clouds are not well .
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Get this from a library. Satellite observations of a monsoon depression. [Charles Warner; United States. National Aeronautics and Space Administration.; University of Virginia. Department of Environmental Sciences.].
In book: Modern Climatology. the most efficient rain-producing system is known as the Indian monsoon depression (hereafter MD). satellite IR observations with 1º × 1º hor izontal. Chandrasekar A., Kutty M.G. () Studies on the Impacts of 3D-VAR Assimilation of Satellite Observations on the Simulation of Monsoon Depressions over India.
In: Park S., Xu L. (eds) Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II). Springer, Berlin, Heidelberg. First Online 20 February Author: A. Chandrasekar, M. Govindan Kutty. Thiruvananthapuram: Several parts of Kerala received moderate rainfall on Sunday, a day after the southwest monsoon set in over the state, even as a low pressure area formed over the Arabian Sea.
The Meteorological Department said the low pressure was expected to intensify into a depression in the next two days and subsequently, into a cyclone.
The Penn State/NCAR mesoscale model (MM5) has been used in this study to ingest and assimilate the INSAT-CMV (Indian National Satellite System-Cloud Motion Vector) wind observations using analysis nudging (four-dimensional data assimilation, FDDA) to improve the prediction of a monsoon depression which occurred over the Bay of Bengal, India Cited by: 2.
A typical monsoon depression developed on 17 August over the BoB. In the rapid development phase, satellite observations reveal mesoscale convective systems with deep convective precipitation cells and stratiform precipitation near the head of the BoB.
The results of this study show direct and good evidence of the impact of the assimilation of the satellite observations using 3DVAR on the dynamical and thermodynamical features of a monsoon. The authors are thankful to the Indian Mete orological Department and National Centre for Environmental Prediction for making available all the observations for validation.
The chief objective of this study is to investigate the effect of assimilating surface data and atmospheric soundings from satellite datasets using FASDAS combined with FDDA on the simulation of the structure and spatial distribution of the precipitation of a monsoon depression that formed during the Bay of Bengal Monsoon Experiment.
The nudging factor G T = G q = × 10 −4 s −1 (characteristic min time scale), determines the magnitude of the surface data assimilation nudging term and is chosen to be larger by a factor of 2 over typical values for upper-air sounding data.
The larger nudging factors are chosen to account for the rapid adjustment rate of the surface fluxes to changes in surface forcings.
The link between the African Monsoon systems and aerosol loading in Africa is studied using multi-year satellite observations of UV-absorbing aerosols and rain gauge measurements. The main aerosol types occurring over Africa are desert dust. The exploration of a monsoon depression over Burma and the Bay of Bengal is discussed.
Aircraft and satellite data were examined, with an emphasis on the. An illustration of LPS tracking using different search variables. The shaded region is (a, e) mean sea level pressure in hPa, (b, f) vorticity at hPa in 10 −4 s −1, (c, g) geopotential at hPa in 10 4 m 2 s −2, and (d, h) stream function at hPa in 10 6 m 2 s −1 on 26 July at UTC, corresponding to the point of maximum strength during the lifetime of an LPS.
The Fifth Generation Mesoscale Model (MM5) is used to study the effect of assimilated satellite and conventional data on the prediction of three monsoon depressions over India using analysis nudging. The satellite data comprised the vertical profiles of temperature and humidity (NOAA-TOVS: – National Oceanic and Atmospheric Administration-TIROS Operational Vertical Sounder; MODIS.
The present study utilized the Penn State/NCAR mesoscale model (MM5), to assimilate the INSAT-CMV (Indian National Satellite System-Cloud Motion Vector) wind observations using analysis nudging to improve the prediction of a monsoon depression which occurred over the Arabian Sea, India during 14 September to 17 September NCEP-FNL analysis has been utilized as the initial and lateral.
The Penn State/NCAR mesoscale model (MM5) has been used in this study to ingest and assimilate the INSAT-CMV (Indian National Satellite System-Cloud Motion Vector) wind observations using analysis nudging (four-dimensional data assimilation, FDDA) to improve the prediction of a monsoon depression which occurred over the Bay of Bengal, India during 28 July to 31 July The 3‐7‐day mode was found to have a weak oceanic signal, as the monsoon trough is mainly positioned over land, though SSS captured the structure of the signal most clearly.
This study highlights the need for high spatial resolution SLA in order to adequately capture 3‐7‐day oscillations in the monsoon trough. Partnered Journals. Chinese Journal of Geophysics () Earth Interactions; Earth and Planetary Physics; Geophysics; International Journal of Geomagnetism and Aeronomy.
Satellite observations and computing technology have advanced our understanding of the monsoon climate enormously in the last two decades. The author provides an update of the knowledge gained over this period, presenting the modern morphology and the physical principles of monsoon climate variation on all time scales ranging from intraseasonal to tectonic time scales.
18 hours ago Recent satellite wind data indicate that an area of low pressure located about miles southwest of the southern tip of the Baja California peninsula remains elongated. The associated shower and thunderstorm activity is currently disorganized, but environmental conditions are expected to be conducive for additional development, and a.
Colon1 and Ramage2 have investigated the thermal stratification of the summer monsoon air and presented evidence of a well-defined temperature inversion in the.
"Latest satellite imagery and observations indicate that a depression has formed over east-central Arabian Sea and lay centred at hours.
Satellite pictures showed a low-pressure area building in the South China Sea and likely intensifying over the next couple of days as a depression .