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Patel, K. H.
- Impact of Satellite Derived Winds and Cumulus Physics during the Occurrence of the Tropical Cyclone Phyan
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Authors
Affiliations
1 School of Physical and Mathematical Sciences, Nanyang Technological University, SG
2 Satellite Meteorology Division, India Meteorological Department, New Delhi-110003, IN
3 Ericsson India Gloabal Services Pvt Ltd, Noida-201301, U. P, IN
4 N. A. S. Degree College, Meerut-250001, IN
1 School of Physical and Mathematical Sciences, Nanyang Technological University, SG
2 Satellite Meteorology Division, India Meteorological Department, New Delhi-110003, IN
3 Ericsson India Gloabal Services Pvt Ltd, Noida-201301, U. P, IN
4 N. A. S. Degree College, Meerut-250001, IN
Source
Indian Journal of Science and Technology, Vol 4, No 8 (2011), Pagination: 859-875Abstract
The quantitative data such as satellite derived winds are useful for improvement of the numerical prediction of weather events like tropical cyclones. In this study, the satellite derived winds from QuikSCAT surface observations and KALPANA-1 atmospheric motion vectors are used during the cyclone PHYAN in order to update the initial and boundary conditions through three-dimensional variational assimilation technique within the Weather Research Forecasting (WRF) modeling system. The simulated mean sea level pressure and 850 hPa wind fields from eight experiments are presented in this study in order to analyze the observed and simulated features of the tropical cyclone PHYAN that occurred in the month of November, 2009. The model results are also compared with the KALPANA-1 images and the India Meteorological Department (IMD) predicted results. Further, the intensity and track of the cyclonic storm PHYAN, generated from the simulations are also compared with the IMD predictions in order to evaluate the model performance.Keywords
WRF Modeling System, Variational Assimilation, Satellite Derived Winds, Cloud Motion Vectors, Cyclonic StormFull Text
References
- Bankert RL and Tag PM (2002) An automated method to estimate tropical cyclone intensity using SSM/I imagery. J. Appl. Meteor. 41, 461–472.
- Bhowmik SKR, Kotal SD and Kalsi SR (2007) Operational tropical cyclone intensity prediction an empirical technique. Nat. Hazards, 41, 447–455.
- Betts AK and Miller MJ (1986) A new convective adjustment scheme. Part II: Single column tests using GATE wave, BOMEX, and arctic air-mass data sets. Quart. J. Roy. Meteor. Soc., 112, 693–709.
- Chang JC and Hanna SR (2004) Air quality model performance evaluation. Meteorol. Atmos. Phys. 87, 1–3.
- Chen F and Dudhia J (2001) Coupling an advanced land-surface/ hydrology model with the Penn State/ NCAR MM5 modeling system. Part I: Model description and implementation. Mon. Wea. Rev. 129, 569–585.
- Dudhia J (1989) Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model. J. Atmos. Sci., 46, 3077–3107.
- Deb SK, Kishtawal CM, Pal PK and Joshi PC (2008) A modified tracer selection and tracking procedure to derive winds using Water vapor imagers. J. App. Meteor. Clim. 47 (12), 3252-3263.
- Grell GA, Dudhia J and Stauffer DR (1994) A description of the fifth generation Penn State/NCAR mesoscale model (MM5), NCAR technical note, NCAR/TN–398+STR.
- Grell GA and Devenyi D (2002) A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophys. Res. Lett. 29(14), Article 1693.
- Hong S-Y and Lim J-OJ (2006) The WRF singlemoment 6-class microphysics scheme (WSM6). J. Korean Meteor. Soc. 42, 129–151.
- Hong S.-Y and Noh Yand Dudhia J (2006) A new vertical diffusion package with an explicit treatment of entrainment processes. Mon. Wea. Rev. 134, 2318– 2341.
- Hong S-Y, Dudhia J and Chen S-H (2004) A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation. Mon. Wea. Rev. 132, 103-120.
- Janjic ZI (2000) Comments on development and evaluation of a convection scheme for use in climate models. J. Atmos. Sci., 57, 3686.
- Joseph A, Prabhudesai RG, Mehra P, Kumar VS, Radhakrishnan KV, Kumar V, Kumar KA, Agarwadekar Y, Bhat UG, Luis R, Rivankar P and Viegas B (2011) Response of west Indian coastal regions and Kavaratti lagoon to the Nov-2009 tropical cyclone Phyan. Nat Hazards. 57, 293-312.
- Kain JS (2004) The Kain-Fritsch convective parameterization: An update. J. Appl. Meteor. 43, 170–181.
- Kain JS and Fritsch JM (1990) A one-dimensional entraining/ detraining plume model and its application in convective parameterization, J. Atmos. Sci. 47, 2784–2802.
- Kain JS and Fritsch JM (1993) Convective parameterization for mesoscale models. The Kain- Fritcsh scheme. The representation of cumulus convection in numerical models. Emanuel KA & Raymond DJ (Eds.) Amer. Meteor. Soc. pp:246.
- Mlawer EJ, Taubman SJ, Brown PD, Iacono MJ and Clough SA (1997) Radiative transfer for inhomogeneous atmosphere: RRTM, a validated correlated-k model for the long-wave. J. Geophys. Res., 102, 16663-16682.
- Mishra, D.K and Gupta, G.R (1976) Estimation of maximum speed in tropical cyclones occurring in Indian seas. Ind. J. Met. Hydrol. Geophys. 27(3), 285- 290.
- Ooyama KV (1990) A thermodynamic foundation for modeling the moist atmosphere. J. Atmos. Sci. 47, 2580–2593.
- Raghavan S and Rajesh S (2003) Trends in tropical cyclone impact, A study in Andhra Pradesh, India, Bull. Amer. Meteorol. Soc. DOI:10.1175/BAMS- 84(5), 635-644.
- Singh R, Pal PK, Kishtawal CM and Joshi PC (2008) The Impact of variational assimilation of SSM/I and QuikSCAT Satellite Observations on the numerical simulation of Indian Ocean tropical cyclones, Weather & Forecasting. 23, 460-476.
- Singh OP and Singh H (2011) Use of scatterometer based surface vorticity fields in forecasting genesis of tropical cyclones over the north Indian Ocean. Mausam. 62, 61-72.
- Skamarock WC Klemp JB, Dudhia J, Gill DO, Barker DM, Duda MG, X. –Y Huang, Wang W and Powers JG (2008) A description of the advanced research WRF version 3, NCAR technical note, NCAR/TN–475+STR.
- Zhihua Z, Yihong D, Xudong L, Leiming MA and Chan JC-L (2005) The effect of three dimensional variational data assimilation of QuikSCAT data on numerical simulation of typhoon track and intensity. Adv. Atmos. Sc. 22, 534-544.
- Influence of Nitrogen, Potassium and Sulphur Levels on Growth, Yield Attributes and Yield of Forage Pearlmillet [Pennisetum glaucum (L.) R. Br.]
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Authors
Affiliations
1 Department of Agricultural Chemistry and Soil Science, B.A. College of Agriculture, Anand Agricultural University, Anand (Gujarat), IN
1 Department of Agricultural Chemistry and Soil Science, B.A. College of Agriculture, Anand Agricultural University, Anand (Gujarat), IN
Source
An Asian Journal of Soil Science, Vol 5, No 1 (2010), Pagination: 21-25Abstract
A field experiment on this crop (variety GFB 1) was conducted in R.B.D. with three replications during summer-monsoon seasons of 2003 and 2004 on different sites to study the influence of various levels of N, K and S. There were two levels of N viz.,100 and 150 kg ha-1, three treatments of K viz., 0, 40 kg K2O ha-1 applied either entirely as basal and 50% as basal and remaining in two equal splits after first and second cuts and three levels of S viz., 0, 20 and 40 kg S ha-1. There were three cuts in each year. Initial available N, K and S contents in soil were low, medium and marginal, respectively in their status. Yield of green forage, dry matter yields were increased by application of N, K and S. There was 31.8 per cent increase in green forage yield due to nitrogen (N2) over that of N1 (521.4 q ha-1), 9.8 and 19.4 per cent increase for K1 and K2 over that of K0 (550.7 q ha-1) and 3.78 and 7.86 per cent increase for sulphur-S1 and S2 over that of S0 (581.7 q ha-1), respectively. Similarly the dry forage yield was also increased. The yield increase due to N, K and S treatment was supported by increase in growth parameters such as tillers per meter row length, number of internodes per plant and plant height. The beneficial effect due to K particularly that of K2 may probably due to dominance of intensity factor in K supply mechanism.Keywords
Green and Dry Matter Yield, Growth Parameters.
- Effect of FYM And Fe-Zn-S Supplementation on Yield and Quality of Multicut Forage Sorghum (Cv. SSG-3)
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Authors
Affiliations
1 Department of Soil Science and Agricultural Chemistry, B.A. College of Agriculture, Anand Agricultural University, Anand (Gujarat), IN
2 Department of Agricultural Chemistry and Soil Science, B.A. College of Agriculture, Anand Agricultural University, Anand (Gujarat), IN
1 Department of Soil Science and Agricultural Chemistry, B.A. College of Agriculture, Anand Agricultural University, Anand (Gujarat), IN
2 Department of Agricultural Chemistry and Soil Science, B.A. College of Agriculture, Anand Agricultural University, Anand (Gujarat), IN