In a comparison with FMask, a high-quality cloud and cloud shadow classification algorithm currently available, SPARCS performs favorably, with substantially lower omission errors for cloud shadow (8.0% and 3.2%), only slightly higher omission errors for clouds (0.9% and 1.3%, respectively) and fewer errors of commission (2.6% and 0.3%). Cyclone Ockhi has travelled almost 4000 nautical miles after originating in the Gulf of Thailand and has had an unusually long life. During its life cycle, cyclone Ockhi underwent rapid, later in its mature stage. Cyclone Ockhi, which, formed on 29 November 2017, caused a trail of, destruction. tion (MJO), which is an eastward-propagating band of, enhanced convection in the tropical regions, plays a vital, role in the genesis of cyclones in the north Indian Ocean, by providing favourable background atmospheric condi-. The probabilistic rapid intensification forecasts are found to be skillful compared to climatology. The error statistics (11 kt at 6 hr to 6 kt at 24 hr) of the decay model shows that the model could predict the decaying intensity after landfall with reasonable success. Join ResearchGate to find the people and research you need to help your work. Figure 1: Track of Cyclone Ockhi from 29 November to 5th December 2017 The upper ocean responses associated with tropical cyclones includes reduction in SST along the storm track, changes in thermocline, surface mixed layer depth and associated upwelling [6]. india Updated: Dec 05, 2017, 20:15 IST. Volcanic activity, cyclone etc., Cyclone Ockhi 1) Introduction The recent Cyclone Ockhi was the most intense tropical cyclone in the Arabian Sea since Cyclone Megh in 2015. Cyclone Ockhi, formed on 29 November 2017 over the, Lakshadweep Sea, south of Cape Comorin, is the first, very severe cyclone to form in this region after 1925. Modelling tropical cyclone hazards under climate change scenario using geospatial techniques, Land use and land cover effect on groundwater storage, Automated Detection of Cloud and Cloud Shadow in Single-Date Landsat Imagery Using Neural Networks and Spatial Post-Processing, Comparison of remote sensing change detection techniques for assessing hurricane damage to forests, Application of Remote Sensing and GIS for cyclone disaster management in coastal area: A case study at Barguna district, Bangladesh, Using landsat satellite imagery to determine land use/land cover changes in Med{stroke}imurje County, Croatia, At Risk: Natural Hazards, People'S Vulnerability and Disasters, Monitoring the coastline change of Hatiya Island in Bangladesh using remote sensing techniques, Bioavailable trace metals in micro-tidal Thambraparani estuary, Gulf of Mannar, SE Coast of India, Optimal Classification into Groups: An Approach for Solving The Taxonomy Problem. Department of Applied Geology, University of Madras, Chennai, Tamilnadu, India. Cyclone Ockhi: 10 Point-Guide To Be Disaster-Ready . SHORE Line Changes In Tuticorin Coast -SE of India. Department of Geology, V.O. Modified GPP, which includes estimates of ocean heat, content is always higher than GPP which only includes, tions from 26 November 2017 provided conducive back-, ground winds that enhanced the existing cyclonic, circulation to sustain and grow to a depression. Finally, the initial wind speed of RI cases is higher and tends to move with a faster translational speed than the non-RI cases. cyclone development started in the southwest Bay of, Bengal and Cape Comorin area from 27 November 2017, onwards, with GPP values of 20–30 (Figure 3, case of atmosphere-only GPP, the value was less than 20, (50–60) over the Cape Comorin region, indicating, enhanced chance of cyclone development (Figure 3, compared to 20–30 for atmosphere-only GPP (Figure, ocean heat content, was higher than the atmosphere-only, sis from 27 November onwards. These threats have made the coastal zone a priority for coastline monitoring programs and sustainable coastal management. By 4, December 1800 UTC, the intensity of the cyclone had, reduced to a severe cyclonic storm and it moved in the, northeastward direction, due to the influence of the upper. However, the specific timing of observed late-season ESCSs in 2014 and 2015 was likely due to stochastic processes. ; anthropology (categorization of civilizations); and sociology (categorization of tribes).An analysis of results on a set of botanical data, written by Dr Ghillean Prance of the New York Botanical Gardens, is included as an Appendix. based on IMD cyclone data for the Arabian Sea post-, monsoon season (October–December) during the period, Cyclone Ockhi developed as a depression on 29 Novem-, ber 2017 0300 UTC in the Lakshadweep Sea, south of, from 29 to 30 November under the influence of upper, sified to a very severe cyclonic storm with sustained wind, to move in the northwest direction till 2 December and, attained a peak wind speed of 85 kt (43.7, December 0300 UTC, cyclone Ockhi changed its direc-, tion due to the influence of an upper-level anticyclone, which was anchored over the eastern parts of the Indian, southerly steering over the central Arabian Sea, resulting, in the cyclone to move in a northward direction. Generally, the cyc-, lones which form in the Arabian Sea make a landfall, causing severe damage to life and property in the densely, climate models project continued rapid warming of the, spheric Science Paper No. Spectral band and their properties o, Fig 3 & 4. ResearchGate has not been able to resolve any citations for this publication. Northern Chennai is highly urbanized due to rapid industrialization, in this Manuscript, we are present a Despite the small fraction of cyclones, some of the most devastating cyclones have formed in this basin, causing extensive damage to the life and property in the north Indian Ocean rim countries. 10th October 2017 & 29th December 2017, maps of respective data set. Among the six indices, TCW outperformed the other indices owing to its maximum sensitivity to forest modification. In contrast it experienced an accretion of 9916 hectares. The LPEs are less for climatologically moving/straight moving TCs than for the recurving/looping TCs. The 12 hourly track forecast by MME (with error 68 km at 12 hr to 187 km at 120 hr), and intensity forecast by SCIP model (with error 5.9 kt at 12 hr to 19.8 kt at 72 hr) are found to be consistent and very useful to the operational forecasters. C were observed over the south Arabian Sea, ) convective available potential energy (CAPE) (J, ack of cyclone Ockhi from its day of formation. The average LPE is about 67, 95, and 124 km and LTE is about 4, 7, and 2 hrs, respectively for 24, 48, and 72-hr forecasts over the NIO as a whole during 2009–2013. intensify from a depression to a cyclonic storm. Role of Sea Surface Temperature in Modulating Life Cycle of Tropical Cyclones over Bay of Bengal, Increasing frequency of extremely severe cyclonic storms over the Arabian Sea, Tropical Cyclone Genesis Potential Index for Bay of Bengal During Peak Post-Monsoon (October-November) Season Including Atmosphere-Ocean Parameters, Role of upper ocean parameters in the genesis, intensification and tracks of cyclones over the Bay of Bengal, Evaluation of official tropical cyclone landfall forecast issued by India Meteorological Department, The Madden–Julian Oscillation’s Impacts on Worldwide Tropical Cyclone Activity, Future Coastal Population Growth and Exposure to Sea-Level Rise and Coastal Flooding - A Global Assessment, Tropical cyclone Genesis Potential Parameter (GPP) and it's application over the north Indian Sea, Large-scale characteristics of rapidly intensifying tropical cyclones over the Bay of Bengal and a Rapid Intensification (RI) index, The NCEP/NCAR 40-years reanalysis project, CHANSE: Coupled Human And Natural Systems Environment for water management under uncertainty in the Indo-Gangetic Plain, IndOOS, the Indian Ocean Observing System, Assessment of Climate Change over the Indian Region (2020), Springer Nature (Open Access). The LPE is less over the BOB than over the AS for all forecast lengths up to 72 hrs. Frequency analysis was carried out using historical cyclone data (1960--2015) to calculate the storm surge heights of 5, 10, 20, 50 and 100 year return periods of cyclones. The IGPP is a revised version of Kotal‐Genesis Potential Parameter (KGPP) implemented by India Meteorological Department (IMD) for short‐range operational cyclogenesis prediction over NIO. Region with GPP value equal or greater than 30 is found to be high potential zone for cyclogenesis. It is hence important to improve the, coupling between atmosphere and ocean, and incorporate, ocean subsurface conditions more precisely into the, cyclone forecasting models in order to improve the, prediction skills with high lead time. The RII technique is developed by combining threshold (index) values of the eight variables for which statistically significant differences are found between the RI and non-RI cases. Significant buildings construction, construction of the reservoir lakes on the Drava River and construction of a highway were major drives of LU/LC changes in Med{stroke}imurje County over the study period. The death toll in the Ockhi cyclone that hit the Kerala coast mounted to 66 with more bodies being recovered even as the Centre assured the state government that … Thus, continued anthropogenic forcing will further amplify the risk of cyclones in the ARB, with corresponding socio-economic implications. The distance travelled, duration and accumulated cyclone energy were significantly larger for cyclone Ockhi, in comparison with the climatologi-cal cyclone records. The model is biased to overestimate a weaker TC and underestimate a stronger TC, however, the bias is reduced in SST run by 5–51%. A set of two numerical experiments are done without (CNTL) and with 6-hourly SST update (SST) in TC lifetime. Since, the new GPI which considers atmosphere and ocean (UOHC) parameters, it appears to be more suitable for Bay of Bengal during the peak post-monsoon season. By using Landsat images, the area (Vann Island) was calculated from the year 1973–2015 with analyzing tools of Qgis and Saga Gis. The variables are computed using the European Centre for Medium Range Weather Forecast (ECMWF) model data. Furthermore, we identify needs for further research and scope for improvement in this kind of scenario-based exposure analysis. Since, the new GPI which considers atmosphere and ocean (UOHC) parameters, it appears to be more suitable for Bay of Bengal during the peak post-monsoon season. Bl, 30 has been used by IMD to identify the poten-, ). The RI is defined as an increase of intensity 30 kt (15.4 ms-1) during 24 hrs, which represents approximately the 93rd percentile of 24 hrs intensity changes of tropical cyclones that developed over the Bay of Bengal during 1981-2010. The analysis of the parameter and its effectiveness during cyclonic disturbances in 2010 affirm its usefulness as a predictive signal (4-5 days in advance) for cyclogenesis over the North Indian Sea and for determining potential for intensification of developing and non-developing systems at the early stages of development. Neumann, C. J., The International Best Track Arch, performance of the data assimilation system, role in the tropical circulation. From this study, it is concluded that geospatial techniques are one of the successful and reliable techniques to map this type of low-lying island to conserve and manage the resources that affected by the geogenic and anthropogenic processes. The ground water storage is depleting due to above mentioned fact and extraction of more groundwater to fulfill the demand of rapidly growth urbanization with constant surface water available In this regard, estimating and managing groundwater resources require the integration of variety of discipline at a single platform. The deep depression in the south of Kanyakumari and west of Sri Lanka intensified and resulted into a cyclonic storm. Kiliyar Sub-basin of Palar River Basin, Tamil Nadu, GIS.EnviroGeoChimicaActa, 2014.l.1(5):403. The Arabian Sea needs to be closely monitored for future This is due to fact that the demand of water is met by the canal supply and improved greenery results in higher the infiltration to the aquifer in many locations within the study area. Therefore, modified GPP, indicated the signature of genesis of cyclone Ockhi two, days in advance compared to the atmosphere-only GPP, which showed cyclogenesis signature only one day in, advance. With the effective use of GIS tool in remote sensing data, the Land Use and Land severe cyclone to form over the Lakshadweep Sea a, Change in maximum surface wind (kt/day) during the period 30 November-5 December 2017. b, Probability distribution of time taken (h) by a tropical disturbance to intensify from depression to cyclonic storm in the north Indian Ocean during the post-monsoon season for the period 1990-2016. Further, cyclone Ockhi, intensified rapidly from a cyclonic storm to a very severe, cyclonic storm on 1 December 2017 over the southeast, dynamic conditions over the region. Thiruvanathapuram/Chennai: More than 500 fishermen stranded in the rough sea off Kerala and Lakshadweep coasts have been rescued even as cyclone Ockhi on Saturday lay centered over the South East Arabian Sea and about 250 km near Amini Divi in the Lakshadweep Islands. This region was also conducive to intensifi-, ) vertically integrated (850–400 hPa) specific humidity (g kg, ) from 2 to 5 December 2017. The devastative cyclone has destroyed, were uprooted by the impact of the cyclone. © 2008-2021 ResearchGate GmbH. The Hurricane Weather Research Forecast (HWRF) model of single domain with 9km resolution is used. An integrated Remote sensing and GIS study has been conducted to estimate impact of Ockhi on Landuse and Landcover of Kanyakumari District. analysis using these geomatics technique. Star denotes the. The main focus of the study is to develop a model that could be used for disaster planning and management. unusual long track was steered by upper-level winds. This study evaluates Land Use and Land Cover (LU/LC) changes in Med{stroke}imurje County, Croatia, from 1978-1992, 1992-2007 and 1978-2007 using Landsat satellite images. A storm surge model has been developed integrating historical cyclone data with Digital Elevation Model (DEM), which generates the cyclone hazard maps for different return periods. ACE accounts for the com-, bined strength and duration of tropical cyclones, calculated by summing the squares of the six-, mum sustained surface wind speed (kt) during the dura-, or higher. The RII uses large-scale characteristics of tropical cyclones to estimate the probability of rapid intensification (RI) over the subsequent 24 hrs. Very Severe Cyclonic Storm Ockhi was a strong tropical cyclone that devastated parts of Sri Lanka and India in 2017, and was the most intense tropical cyclone in the Arabian Sea since Cyclone Megh in 2015. In addition, the experiments initialized 26 February–2 March exhibited that the phase of the MJO in OBSSST was ahead of that in CLMSST, and that the genesis location in OBSSST was ~10° to the east of that in CLMSST.... in the north Indian Ocean. 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