The estimate of sea ice resources quantity in the Bohai Sea based on NOAA/AVHRR data

Yuan, Shuai; Gu, Wei; Yu, Xu; Wang, Ping; Shuqing, Huang; Le, Zhangyan; Cong, Jianou

doi:10.1007/s13131-012-0173-4

Cited by 28 publications

(33 citation statements)

References 15 publications

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“…where h is sea-ice thickness, � is reflectance at the visible light/near-infrared band, which changes with sea-ice thickness, � max is the reflectance corresponding to sea ice with infinite thickness, µ is the attenuation coefficient of reflectance and � is a parameter associated with � max and � sea (Yuan and others, 2012). If the reflectance � is completely derived from volume scattering of sea ice, then the accuracy of sea-ice thickness estimation by this model will be improved.…”

Section: Discussionmentioning

confidence: 99%

“…Ice thickness is one of the major components of remote-sensing monitoring. Based on Yang (2000), Luo and others (2004), Wu and others (2006) and Yuan and others (2012), the thickness of smooth sea ice can be inverted using the correlation of reflectance between ice thickness and visible/near-infrared (VNIR) reflectance. Rough ice surfaces increase the anisotropic scattering from incoming solar radiation, which distorts the correlation of reflectance between ice thickness and the VNIR spectrum.…”

Section: Introductionmentioning

confidence: 99%

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Multi-angular thermal infrared emission characteristics of Bohai Sea ice based on in situ measurements

Chao

Liu

et al. 2015

J. Glaciol.

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ABSTRACT. We report on the radiative transfer process and optical properties of sea ice in the thermal infrared (TIR) band, presenting two new linear kernel driver models (Relative Emissivity Distribution Function, REDF) that describe TIR emission characteristics of smooth and rough ice. In order to test the models and determine the necessary coefficients, in situ measurements from the Bohai Sea were carried out during the 2011/12 and 2012/13 boreal winters. The results show that the relative emissivity of smooth sea ice decreases along with increasing viewing zenith angle, and the shape of the relative emissivity curve is similar to that of an ideal plane. Affected by parameters such as roughness and surface temperature distribution, the anisotropy of relative emissivity of sea ice with a high degree of roughness is stronger relative to the cosine emitter. The model coefficients were also obtained using a robust regression method based on the measured data. The presented models are more practical than the numerical radiative transfer model and can be used for multi-angular TIR remote sensing.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-angular thermal infrared emission characteristics of Bohai Sea ice based on in situ measurements

Chao

Liu

et al. 2015

J. Glaciol.

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“…This method is suitable for monitoring level-ice SIT in the Bohai Sea under cold weather conditions [41]. SIT can also be estimated using optical spectrometer data through the empirical relationships between sea ice reflectance spectra or albedo and SIT [42][43][44][45]. However, the resulting SIT estimates may have large errors due to impurities (sand, dissolved organic matter) in the Bohai Sea ice, which then reduce the surface albedo [46].…”

Section: Sea Ice Thicknessmentioning

confidence: 99%

Bohai Sea Ice Parameter Estimation Based on Thermodynamic Ice Model and Earth Observation Data

et al. 2017

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Abstract:We estimate two essential sea ice parameters-namely, sea ice concentration (SIC) and sea ice thickness (SIT)-for the Bohai Sea using a combination of a thermodynamic sea ice model and Earth observation (EO) data from synthetic aperture radar (SAR) and microwave radiometer. We compare the SIC and SIT estimation results with in-situ measurements conducted in the study area and estimates based on independent EO data from near-infrared/optical instruments. These comparisons suggest that the SAR-based discrimination between sea ice and open-water works well, and areas of thinner and thicker ice can be distinguished. A larger comprehensive training dataset is needed to set up an operational algorithm for the estimation of SIC and SIT.

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“…The region possesses only 2 % of the water resources in China, and the annual per capita water consumption is less than 350 m 3 ). In the search for new freshwater resources to solve the water stress situation, researchers have demonstrated through numerous studies, beginning in 1995, that sea ice can be treated as a new freshwater resource (Shi et al 2002;Li et al 2007Li et al , 2013Gu et al 2012Gu et al , 2013Yuan et al 2012). The desalination of sea ice will ease the freshwater resource deficiencies in the Bohai Rim (Lin et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Atmospheric parameters affecting sea ice losses in the context of gravity desalination

Chao

et al. 2014

Theor Appl Climatol

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Gravity desalination is an important method for obtaining fresh water from sea ice; however, the large amount of ice that is exposed to air for long periods of time sublimates and evaporates, which results in a reduction of the freshwater resource. This paper describes a study of sea ice sublimation and evaporation performed during the winter of 2013 at the western shore of Bohai Bay, China, to determine the relationship between the amount of sublimation and evaporation and the atmospheric parameters. Substantial amounts of the Bohai sea ice sublimated and evaporated, ranging from 15 to 35 % of the total. The sublimation and evaporation amount was significantly different between the day and night and was greater in the daytime because of the relative humidity difference. Sublimation and evaporation is primarily affected by atmospheric parameters, and the amount of sublimation and evaporation exhibits a good linear relationship with the relative humidity and the wind speed; a comprehensive parameters formula was determined for the Bohai Rim in China. A 10 % increase of daily relative humidity will reduce approximately 1.5kg/m 2 /day of the sublimation and evaporation, and the amount of sublimation and evaporation increases by 1.76 kg/m 2 /day when the daily wind speed increases by 1 m/ s. To reduce the sublimation and evaporation and maximize the amount of this freshwater resource, gravity desalination sites should be selected where the wind speed is low and the relative humidity is high, i.e., the sea ice should be configured to reduce the adverse effects of sunlight, low humidity, and air turbulence.

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The estimate of sea ice resources quantity in the Bohai Sea based on NOAA/AVHRR data

Cited by 28 publications

References 15 publications

Multi-angular thermal infrared emission characteristics of Bohai Sea ice based on in situ measurements

Multi-angular thermal infrared emission characteristics of Bohai Sea ice based on in situ measurements

Bohai Sea Ice Parameter Estimation Based on Thermodynamic Ice Model and Earth Observation Data

Atmospheric parameters affecting sea ice losses in the context of gravity desalination

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