On the secular trends in sea ice extent over the antarctic region based on OCEANSAT-1 MSMR observations

Vyas, N. K.; Dash, Mihir Kumar; Bhandari, S. M.; Khare, Neloy; Mitra, Amitabh; Pandey, P. C.

doi:10.1080/01431160210154975

Cited by 12 publications

(11 citation statements)

References 4 publications

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“…• Vyas et al (2003) analyzed data from the multichannel scanning microwave radiometer carried aboard India's OCEANSAT-1 satellite for the period June 1999-May 2001, which they combined with data for the period 1978-1987 derived from passive microwave radiometers aboard earlier Nimbus-5, Nimbus-7, and DMSP satellites to study secular trends in sea-ice extent about Antarctica over the period . This work revealed a mean rate of increase in sea-ice extent for the entire Antarctic region of 0.043 million km² per year.…”

Section: Earlier Researchmentioning

confidence: 99%

Observations: Cryosphere

2014

Climate Change 2013 – The Physical Science Basis

142

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Section: Earlier Researchmentioning

confidence: 99%

Observations: Cryosphere

2014

Climate Change 2013 – The Physical Science Basis

142

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“…ISRO has also carried out extensive campaigns with integrated satellite, aircraft, balloon and groundbased measurements, jointly with many sister institutions in the country, to study quantitatively the above aspects, and has brought out many scientific findings in many reputed international peer reviewed journals. Many studies have been carried out towards mapping and monitoring of climate change indicators, which include glacier retreat (Kulkarni et al 2005;, changes in polar ice cover (Vyas et al 2003), timberline change ) and coral bleaching (Bahuguna (2008), Bahuguna et al 2008). There have been some pioneering efforts to map the global change forcing agents.…”

Section: Space Based Climate Change Studies In Indiamentioning

confidence: 99%

“…Space Applications Centre (SAC), in collaboration with National Centre for Antarctic and Ocean Research (DOD), Goa, India, has also contributed significantly in the use of MSMR data for monitoring the Antarctic region. Vyas et al (2003), have assessed the potential of MSMR observations for analyzing the sea ice extent. Bhandari et al (2005), have carried out relative calibration of MSMR using independent SSM/I measurements for Sea Ice Concentration (SIC).…”

Section: Change In Polar Ice Covermentioning

confidence: 99%

Climate Change Studies Using Space Based Observation

Navalgund

Singh

2011

J Indian Soc Remote Sens

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Climate change is associated with earth radiation budget that depends upon incoming solar radiation, surface albedo and radiative forcing by greenhouse gases. Human activities are contributing to climate change by causing changes in Earth's atmosphere (greenhouse gases, aerosols) and biosphere (deforestation, urbanization, irrigation). Long term and precise measurements from calibrated global observation constellation is a vital component in climate system modelling. Space based records of biosphere, cryosphere, hydrosphere and atmosphere over more than three decades are providing important information on climate change. Space observations are an important source of climate variables due to multi scale simultaneous observation (local, regional, global) capability with temporal revisit in tune with requirements of land, ocean and atmospheric processes. Essential climatic variables that can be measured from space include atmosphere (upper air temperature, water vapour, precipitation, clouds, aerosols & GHGs etc.), ocean (sea ice, sea level, SST, salinity, ocean colour etc.) and land (snow, glacier, albedo, biomass, LAI/fAPAR, soil moisture etc.). India's Earth Observation Programme addresses various aspects of land, ocean and atmospheric applications. The present and planned missions such as Resourcesat-1, Oceansat-2, RISAT, Megha-Tropiques, INSAT-3D, SARAL, Resourcesat-2, Geo-HR Imager and series of Environmental satellites (I-STAG) would help in understanding the issues related to climate changes. The paper reviews observational needs, space observation systems and studies that have been carried out at ISRO towards mapping/detecting the indicators of climate change, monitoring the agents of climate change and understanding the impact of climate change, in national perspectives. Studies to assess glacier retreat, changes in polar ice cover, timberline change and coral bleaching are being carried out towards monitoring of climate change indicators. Spatial methane inventories from paddy rice, livestock and wetlands have been prepared and seasonal pattern of CO 2 , and CO have been analysed. Future challenges in space observations include design and placement of adequate and accurate multi-platform observational system to monitor all parameters related to various interaction processes and generation of long term calibrated climate data records pertaining to land ocean and atmosphere.

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“…Extensive sea-ice studies have been carried out since 1973, using SMMR and SSM/I data (Comiso 2003). Vyas et al (2003) have utilized the Oceansat-1 MSMR data for the sea-ice extent mapping of Antarctica.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Coherence Based Technique for Near-Real Time Sea-Ice Identification from Scatterometer Data

Oza

Singh

Vyas

et al. 2011

J Indian Soc Remote Sens

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The identification of sea-ice has frequently been cited as one of the most important tasks for deriving the sea-ice parameters and to avoid erroneous retrieval of wind vector over sea-ice infested oceans using space-borne scatterometer data. Discrimination between sea-ice and ocean is ambiguous under the high wind and/or thin/scattered ice conditions. The pre-launch technique developed for Oceansat-2, utilizes the dual-polarized QuikSCAT scatterometer data by using the spatio-temporal coherence properties of sea ice in addition to backscatter coefficient and the Active Polarization Ratio. Results were compared with the operational sea-ice products from National Snow and Ice Data Center. The threshold API value of −0.025 was found optimum for sea-ice and ocean discrimination. The overall sea-ice identification accuracy achieved was of the order of 95 per cent, ranging from 92.5% (during December in Southern Hemisphere) to 98% (during March in Northern Hemisphere). The applicability of the algorithm for both the Arctic as well as Antarctic makes it suitable for its operational use with the Oceansat-2 scatterometer data.

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On the secular trends in sea ice extent over the antarctic region based on OCEANSAT-1 MSMR observations

Cited by 12 publications

References 4 publications

Observations: Cryosphere

Observations: Cryosphere

Climate Change Studies Using Space Based Observation

Spatio-Temporal Coherence Based Technique for Near-Real Time Sea-Ice Identification from Scatterometer Data

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