M. V. Martin

ORCID: 0000-0003-1672-1622
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About
Contact & Profiles
Research Areas
  • Oceanographic and Atmospheric Processes
  • Climate variability and models
  • Ocean Waves and Remote Sensing
  • Tropical and Extratropical Cyclones Research
  • Reservoir Engineering and Simulation Methods
  • Oil Spill Detection and Mitigation
  • Marine and environmental studies
  • Maritime Navigation and Safety
  • Geological and Geophysical Studies
  • Marine and coastal ecosystems
  • Arctic and Antarctic ice dynamics
  • Insects and Parasite Interactions
  • Marine Bivalve and Aquaculture Studies
  • Hydrology and Drought Analysis
  • Recycling and Waste Management Techniques
  • Climate change impacts on agriculture
  • Underwater Acoustics Research
  • Marine and fisheries research
  • Microplastics and Plastic Pollution
  • Ship Hydrodynamics and Maneuverability
  • Geophysics and Gravity Measurements
  • Environmental Engineering and Cultural Studies
  • Coastal Management and Development
  • Marine Biology and Ecology Research
  • Methane Hydrates and Related Phenomena

National Institute of Ocean Technology
2019-2023

Ministry of Earth Sciences
2021-2023

Government of India
2021

Indian Institute of Technology Kharagpur
2013-2016

In this study, changes in the spatial and temporal patterns of climate extreme indices were analyzed. Daily maximum minimum air temperature, precipitation, their association with change used as basis for tracking at 50 meteorological stations Iran over period 1975–2010. Sixteen temperature 11 which have been quality controlled tested homogeneity missing data, are examined. Temperature extremes show a warming trend, large proportion having statistically significant trends all indices. Over...

10.1007/s00704-015-1609-5 article EN cc-by Theoretical and Applied Climatology 2015-08-31

Abstract As the phytoplanktons consume carbon dioxide, they significantly influence global cycle and thus, temperature by modifying sea surface temperature. Studies on changes in chlorophyll–a (Chl-a) amount are therefore, key for understanding ocean productivity, budget climate. Here, we report cyclone-induced Chl-a blooms North Indian Ocean (NIO) using colour measurements from satellites past two decades (1997–2019). The average concentration associated with phytoplankton is around 1.65...

10.1038/s41612-021-00166-x article EN cc-by npj Climate and Atmospheric Science 2021-02-24

The physical processes during cyclone passage over the ocean. Air–sea interactions.

10.1039/d1ea00066g article EN cc-by-nc Environmental Science Atmospheres 2022-01-01

10.1016/j.dsr.2019.03.010 article EN publisher-specific-oa Deep Sea Research Part I Oceanographic Research Papers 2019-04-03

Abstract. The trajectories' prediction of floating objects above the sea surface represents an important task in search and rescue (SAR) operations. In this paper we show how it is possible to estimate most probable area by means a stochastic model, schematizing shape object appropriately evaluating forces acting on it. LEEWAY model,a Monte Carlo-based ensemble trajectory has been used; here, both statistical law calculate leeway almost deterministic inspired boundary layer theory have...

10.5194/nhess-16-1979-2016 article EN cc-by Natural hazards and earth system sciences 2016-08-29

Abstract Analysis of satellite‐derived surface layer phytoplankton chlorophyll‐a concentration (Chl‐a) in the Bay Bengal revealed an eastward shift peak Chl‐a bloom during northeast monsoon period (November–March) from western to eastern Bay. The winter is shorter duration (∼1–2 months) while that longer (∼3–4 months). Unlike other oceans, found opposite direction propagation Rossby wave and seasonal mean zonal currents. During winter, sufficient light available for growth. Herein, we...

10.1002/2014jc010162 article EN Journal of Geophysical Research Oceans 2015-02-20

Factors governing the distribution of organisms in pelagic ocean are understudied. In this paper we describe environmental parameters and macrofouling assemblages on 11 buoys deployed Arabian Sea for an average duration 322 days. Macrofoulants all mooring components extending from sea-surface to a depth 1800-4300 m were documented. Role temperature, salinity, dissolved oxygen, biological productivity zooplankton community macrofoulant described. Species composition, vertical zonation wet...

10.1371/journal.pone.0223560 article EN cc-by PLoS ONE 2020-01-30

Abstract The abyssal ocean is generally considered an aseasonal environment decoupled from the variabilities observed at and just below ocean's surface. Herein, we describe first in-situ timeseries record of seasonal warming cooling in Arabian Sea a depth 4000 m. cycle was over nearly four-year-long (from November 2018 to March 2022). temperature also exhibited noticeable interannual variability. We investigate whether or not surface processes influence near-seabed through deep meridional...

10.1038/s41598-022-19869-z article EN cc-by Scientific Reports 2022-09-22

The moored buoy network in the Indian Ocean revolutionized observational programs with systematic time-series measurement of situ data sets from remote marine locations. real-time meteorological and oceanographic significantly improved weather forecast warning services particularly during extreme events since its inception 1997. sustenance requires persistent efforts to overcome multitude challenges such as vandalism, biofouling, rough weather, corrosion, ship time availability, telemetry...

10.3389/fmars.2021.718909 article EN cc-by Frontiers in Marine Science 2021-11-17

Abstract. The trajectories prediction of the floating objects above sea surface represents an important task in search and rescue (SAR) operations. In this paper we show how may be possible estimate most probable area by means a stocastic model, schematizing appropriately shape object evaluating forces acting on it. LEEWAY Montecarlo-based ensemble trajectory has been used; here not only statistical law to calculate leeway is employed but also almost deterministic inspired boundary layer...

10.5194/nhess-2016-109 preprint EN cc-by 2016-04-11

Abstract Temperature and salinity are essential ocean variables for understanding the oceans' physical processes. The conductivity temperature measurements used deriving salinity. Conductivity-temperature (CT) sensors mounted on moored buoys widely to collect sustained time-series observations of However, these prone drifts that need be corrected ensure data quality. present study evaluates a field validation technique correct drift in subsurface can potentially complement standard...

10.4031/mtsj.55.5.12 article EN Marine Technology Society Journal 2021-09-01
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