Buoy data assimilation to improve wave height assessment in Bay of Bengal during monsoon seasons
نویسنده
چکیده
Significant wave height assessment in Bay of Bengal derived from third generation Wave Model (WAM cycle 4) has been improved by assimilating with continuous three hourly data from five moored buoys of National Institute of Ocean Technology using optimum interpolation technique. Covariance based weight function (gain) used in the study captures the model physics behind wind-wave process while distributing the errors at any buoy location. Gain composition at different buoy locations, due to assimilation of each buoy has been reported for both southwest (July) and northeast (November) monsoons, for year 2004. Qualitative and quantitative improvement in significant wave height due to buoy data assimilation during these two seasons are presented with reference to changing wind and wave characteristics. The order of improvement is found to be proportional to the magnitude of deviations found with respect to the measurements. Considerable model area has been influenced by assimilation.
منابع مشابه
The Impacts of Indirect Soil Moisture Assimilation and Direct Surface Temperature and Humidity Assimilation on a Mesoscale Model Simulation of an Indian Monsoon Depression
This study investigates the impact of the Flux-Adjusting Surface Data Assimilation System (FASDAS) and the four-dimensional data assimilation (FDDA) using analysis nudging on the simulation of a monsoon depression that formed over India during the 1999 Bay of Bengal Monsoon Experiment (BOBMEX) field campaign. FASDAS allows for the indirect assimilation/adjustment of soil moisture and soil tempe...
متن کاملImpacts of Argo salinity in NCEP Global Ocean Data Assimilation System: The tropical Indian Ocean
[1] Salinity profiles collected by the International Argo Project (International Argo Project data are available at http://argo.jcommops.org) since 2000 provide us an unprecedented opportunity to study impacts of salinity data on the quality of ocean analysis, which has been hampered by a lack of salinity observations historically. The operational Global Ocean Data Assimilation System (GODAS) d...
متن کاملPolychaeta density changes in Chabahar Bay subtidal area with emphasis on the role of heavy metals (Cooper and Zinc)
Chabahar Bay near Makran Sea, with the ports of transactions, has always been under the influence of annual monsoon the Indian Ocean. Density changes and heavy metals copper and zinc of Chabahar bay subtidal sediments were studied in 22 stations and three seasons that include: pre-monsoon, monsoon and post-monsoon during 2014. Polychaeta abundances mean were for premonsoon 1261.49±38.81, monso...
متن کاملLate Glacial to Holocene Indian Summer Monsoon Variability Based upon Sediment Records Taken from the Bay of Bengal
Paleoclimatic records from the Bay of Bengal are rare. We reconstruct the sea-surface temperature (SST) and salinity from paired δ18O and Mg/Ca measurements in planktonic foraminifera Globigerinoides ruber from the western Bay of Bengal core VM29-19. Our data suggest that SST and seawater δ18O (δOsw) were ~3°C colder and ~0.6‰ depleted, respectively, during the Last Glacial Maximum (LGM) compar...
متن کاملAssessment of Data Assimilation Approaches for the Simulation of a Monsoon Depression Over the Indian Monsoon Region
A low pressure system that formed on 21 September 2006 over eastern India/Bay of Bengal intensified into a monsoon depression resulting in copious rainfall over north-eastern and central parts of India. Four numerical experiments are performed to examine the performance of assimilation schemes in simulating this monsoon depression using the Fifth Generation Mesoscale Model (MM5). Forecasts from...
متن کامل