利用刀切法和Bayes估计方法,在加权平方损失函数下,得到Rayleigh分布在选取先验分布为Jefferys无信息分布和Gamma分布的情况下参数的Bayes估计的精确形式,在此基础上进一步研究了参数的刀切Bayes估计.最后在R软件中运用MCMC(Markov Chai...利用刀切法和Bayes估计方法,在加权平方损失函数下,得到Rayleigh分布在选取先验分布为Jefferys无信息分布和Gamma分布的情况下参数的Bayes估计的精确形式,在此基础上进一步研究了参数的刀切Bayes估计.最后在R软件中运用MCMC(Markov Chain Monte Carlo)算法对Rayleigh分布参数的Bayes估计和刀切Bayes估计进行数值模拟.模拟结果显示:当样本容量较大时,相同先验分布下刀切Bayes估计模拟效果更好.展开更多
针对混频数据的建模问题,提出自回归U-MIDAS(unrestricted mixed data sampling)分位回归模型.首先,结合嵌套Lasso惩罚方法及spike-and-slab先验进行Bayes参数估计和变量选择;其次,通过数值模拟证明该方法的优越性;最后,将该方法用于美...针对混频数据的建模问题,提出自回归U-MIDAS(unrestricted mixed data sampling)分位回归模型.首先,结合嵌套Lasso惩罚方法及spike-and-slab先验进行Bayes参数估计和变量选择;其次,通过数值模拟证明该方法的优越性;最后,将该方法用于美国名义国内生产总值(GDP)年化季度增长率的预测,结果表明,该方法预测精度较好.展开更多
To explore the relationship of microplastic pollution in different media in marine environment,microplastics in the surface seawater and sediments of Laizhou Bay,Bohai Sea,North China,were studied.Seawater samples wer...To explore the relationship of microplastic pollution in different media in marine environment,microplastics in the surface seawater and sediments of Laizhou Bay,Bohai Sea,North China,were studied.Seawater samples were collected using a pre-concentrator equipped with a 20-μm mesh size sieve,and sediment samples were collected by a box sampler.The shape,color,size,and type of microplastics were obtained by a stereomicroscope and a Fourier transform infrared spectrometer(ATR-μ-FT-IR).Results show that the abundance of microplastics in the surface seawater of Laizhou Bay was 858.3±573.2 items/m~3,and that of microplastics in sediments was 151.0±77.4 items/kg dry weight(d.w.)The microplastics in seawater and sediments were mainly fibrous.Meanwhile,the microplastics in seawater were mainly transparent,and those in sediments were transparent and blue.The highest proportion of microplastics in seawater was rayon(77.48%),followed by polyethylene terephthalate(PET,13.17%).The highest proportion of microplastics in sediments was rayon(73.66%),followed by PET(8.90%).The size of microplastics in 1000-2000μm accounted for the largest proportion of 28.54%in seawater,while that in 500-1000μm took 27.93%in sediment.Microplastics in seawater and sediment showed medium-level pollution.In seawater,microplastic abundance was higher in offshore and nearshore areas of Weifang.In sediment,microplastic abundance was higher in offshore and nearshore areas of Dongying.The results of the principal component analysis(PCA)indicated that microplastics in sediment exhibited greater stability compared to those in seawater.The microplastics in seawater and sediment show a positive correlation in terms of shape and plastic type,while exhibiting a negative correlation in terms of color.Overall,microplastics in sediments were smaller in size,and those in seawater and sediments had consistent size distribution characteristics in space.展开更多
Two new free-living marine nematode species belonging to the genus Tricoma Cobb,1894(Desmoscolecidae)are identi-fied from the continental shelf region of the Bay of Bengal.Tricoma ajmalia sp.nov.is characterized by th...Two new free-living marine nematode species belonging to the genus Tricoma Cobb,1894(Desmoscolecidae)are identi-fied from the continental shelf region of the Bay of Bengal.Tricoma ajmalia sp.nov.is characterized by the number of main rings(84 male and 85 female),the arrangement of somatic setae,the head shape with broadly truncated end,the relatively long cephalic setae(69%-73%of corresponding head diameter),the amphids extending up to second main ring,slender spicules slightly curved and gu-berbaculum with dorsocaudally directed apophyses.The second new species,Tricoma sampadansis sp.nov.is characterized by the number of rings(64),the arrangement of somatic setae(14-13 subdorsal,16 subvenral),the head shape with broadly truncated end,the relatively long cephalic setae(75%corresponding head diameter),the amphidial fovea extending over first main ring,anterioirly bent spicules and gubernaculum with hooked proximal end.An updated valid species list of Tricoma is also presented.展开更多
To better understand the spatial variations in phytoplankton abundance and community structure and their relationship with environmental parameters in Jiaozhou Bay,Yellow Sea,in Shandong,East China,observations were c...To better understand the spatial variations in phytoplankton abundance and community structure and their relationship with environmental parameters in Jiaozhou Bay,Yellow Sea,in Shandong,East China,observations were conducted to estimate abundance of net-phytoplankton and key groups along with environmental parameters in three typical sites in seasonal survey from 2004 to 2016 in the bay.The spatial patterns of phytoplankton abundance differed obviously between the inner and the outer bay.The abundance of total phytoplankton and diatoms increased obviously in the northern part of the bay,while decreased in the southern part and outer bay.An increase in dinoflagellate abundance was obvious in the outer bay.Variations in the dynamics of phytoplankton abundance could be largely explained by the succession of chain-forming diatoms and dinoflagellates.The key chain forming diatom groups Chaetoceros and Thalassiosira increased markedly,especially in winter in the northern part of the bay,while in the southern part and the outer bay,Chaetoceros declined.Besides,the key dinoflagellate groups Ceratium and Noctiluca increased noticeably,resulting in a significant increase in the dinoflagellate/diatom ratio in the outer bay.These variations has a significant correlation with environmental variables of surface seawater temperature,phosphorus,nitrogen,salinity,and N/Si ratio(P<0.05).For the key groups,temperature was the primary driver of dinoflagellate abundance,while the N/P ratio was critical for chain-forming diatoms.The abundance of phytoplankton showed a clear spatial pattern and associated obviously with environmental factors in the marine ecosystems,offering insights into coastal ecosystem management and conservation strategies.展开更多
Microplastic(MP)contamination is becoming a major worldwide concern,affecting terrestrial and aquatic ecosystems.This study investigated the source,distribution,and abundance of MPs in sediments from Dongshan Bay,Fuji...Microplastic(MP)contamination is becoming a major worldwide concern,affecting terrestrial and aquatic ecosystems.This study investigated the source,distribution,and abundance of MPs in sediments from Dongshan Bay,Fujian,South China,emphasizing particularly the coastline region's susceptibility to tidal impacts in four study sites.The concentrations of MPs in the sediments in the four sites were high from 7.4 to 283.1 items/kg(dry weight).There were notable differences in abundance between the locations and tide levels.Tides influenced the distribution of MPs greatly;however,the estuary areas showed greater MPs abundance during high tide,due possibly to enhanced water turbulence and riverine inputs.Low tide indicated higher concentrations in coastal locations owing to accumulation.Popular varieties,including nylon,polypropylene,and polyethylene,were identified by polymer research,pointing to the origins from fishing,packaging,and mariculture industries.Potential sources were determined using the PCA-K-means statistical analysis,by linking the origins of MPs to domestic activities,fishing,mariculturing,shipping,and packing.Fishing and packing were shown in the Sankey diagram as the two main sources,but their effects varied with research locations and tidal regimes.This study clarified the intricate dynamics of MPs pollution,highlighting the impact of tides on its dispersal and the variety of sources that contribute to this widespread environmental problem in coastal areas.展开更多
Dongshan Bay,along with Xiamen Bay,serves as a significant distribution area for amphioxus in Fujian Province.In this survey,we observed that the sedimentary environment of Dongshan Bay has been seriously silted due t...Dongshan Bay,along with Xiamen Bay,serves as a significant distribution area for amphioxus in Fujian Province.In this survey,we observed that the sedimentary environment of Dongshan Bay has been seriously silted due to rapid economic development and the thriving aquaculture industry.Consequently,there has been a significant reduction in suitable habitats for amphioxus and a sharp decline in its resource abundance.Totally 9 amphioxuses were collected from its eastern region in 2022 with a population density of 18.75 ind m^(-2) and a body length from 34.15 to 48.02 mm.The amphioxuses acquired in this investigation were classified as Branchiostoma japonicum based on morphological traits,such as a cuspate rostral fin,measurements of angles between the dorsal and super-caudal fins,angles between the pre-anal and sub-caudal fins,along with an accurate count of pre-anal fin chambers which matched those observed in B.japonicum.Moreover,a molecular barcoding analysis was conducted using a fragment of the mitochondrial COI gene.The results indicated that Branchiostoma sp.from Dongshan Bay in this study belongs to B.japonicum,providing additional support for the morphological identification results.Considering amphioxuses are still surviving in Dongshan Bay despite the destruction of their habitat,it is recommended to implement measures to safeguard their resources and habitats.The measures may include designating protection areas,strengthening law enforcement management to prohibit sand mining,regulating the scale of cage aquaculture,and augmenting wild resources through artificial breeding and release.展开更多
When assessing seismic liquefaction potential with data-driven models,addressing the uncertainties of establishing models,interpreting cone penetration tests(CPT)data and decision threshold is crucial for avoiding bia...When assessing seismic liquefaction potential with data-driven models,addressing the uncertainties of establishing models,interpreting cone penetration tests(CPT)data and decision threshold is crucial for avoiding biased data selection,ameliorating overconfident models,and being flexible to varying practical objectives,especially when the training and testing data are not identically distributed.A workflow characterized by leveraging Bayesian methodology was proposed to address these issues.Employing a Multi-Layer Perceptron(MLP)as the foundational model,this approach was benchmarked against empirical methods and advanced algorithms for its efficacy in simplicity,accuracy,and resistance to overfitting.The analysis revealed that,while MLP models optimized via maximum a posteriori algorithm suffices for straightforward scenarios,Bayesian neural networks showed great potential for preventing overfitting.Additionally,integrating decision thresholds through various evaluative principles offers insights for challenging decisions.Two case studies demonstrate the framework's capacity for nuanced interpretation of in situ data,employing a model committee for a detailed evaluation of liquefaction potential via Monte Carlo simulations and basic statistics.Overall,the proposed step-by-step workflow for analyzing seismic liquefaction incorporates multifold testing and real-world data validation,showing improved robustness against overfitting and greater versatility in addressing practical challenges.This research contributes to the seismic liquefaction assessment field by providing a structured,adaptable methodology for accurate and reliable analysis.展开更多
A three-dimensional coupled sea ice-ice shelf-ocean numerical model is developed for the Prydz Bay,Antarctica,using the Regional Ocean Modeling System with a grid resolution of approximately 2 km.The influence of the ...A three-dimensional coupled sea ice-ice shelf-ocean numerical model is developed for the Prydz Bay,Antarctica,using the Regional Ocean Modeling System with a grid resolution of approximately 2 km.The influence of the grounding giant iceberg D15 on the distribution of sea ice and polynyas in the Prydz Bay is analyzed through two numerical experiments.Iceberg D15,grounded off the western edge of the West Ice Shelf(WIS),obstructs the southwestward transport of sea ice along the east coast of Prydz Bay,causing sea ice to accumulate to the east of the iceberg and form multi-year fast ice.Grounding of Iceberg D15 also decreases sea ice coverage off its south edge and creates ice-free openings in spring near Davis Station and Zhongshan Station,facilitating the accessibility of vessels to the research stations.These simulated sea ice patterns closely match current satellite observations.When Iceberg D15 is removed,the previously blocked sea ice north of the iceberg,which moved westward,shifts southwesterly along the coastline,leading to a reduction in sea ice thickness during winter and spring,as well as lower sea ice concentrations in spring across large areas north and west of the iceberg.In contrast,the sea ice thickness increases considerably southwest of the WIS,extending to the front of the Amery Ice Shelf during seasons covered by sea ice.The increase in sea ice concentration can also extend to as far as 75°E in spring.Without Iceberg D15,which previously contributed to the ice barrier of Barrier Polynya(BP),the shape of BP changes,the area of BP and Davis Polynya(DP)decreases,and the polynya off the northwest edge of the WIS near 83°E expands.These polynya patterns are much similar to the satellite remote sensing observations before Iceberg D15 was grounded.From April to October,the total area of BP and DP decreases by 2.83×10^(4)km^(2)(60%)and 2.20×10^(3)km^(2)(20%),respectively,while the total sea ice production decreases by 4.11×10^(10)m^(3)(66%)and 1.52×10^(10)m^(3)(52%)compared to the experiment with iceberg.These results indicate the substantial effects of grounding giant icebergs on the spatio-temporal distribution of sea ice,the area of polynyas,and sea ice production.High-resolution Antarctic coastal numerical models,typically with grid scales of kilometers,are sufficient to represent large icebergs,and adding the grounding giant icebergs is crucial for producing realistic simulations of sea ice and polynyas.展开更多
文摘利用刀切法和Bayes估计方法,在加权平方损失函数下,得到Rayleigh分布在选取先验分布为Jefferys无信息分布和Gamma分布的情况下参数的Bayes估计的精确形式,在此基础上进一步研究了参数的刀切Bayes估计.最后在R软件中运用MCMC(Markov Chain Monte Carlo)算法对Rayleigh分布参数的Bayes估计和刀切Bayes估计进行数值模拟.模拟结果显示:当样本容量较大时,相同先验分布下刀切Bayes估计模拟效果更好.
文摘针对混频数据的建模问题,提出自回归U-MIDAS(unrestricted mixed data sampling)分位回归模型.首先,结合嵌套Lasso惩罚方法及spike-and-slab先验进行Bayes参数估计和变量选择;其次,通过数值模拟证明该方法的优越性;最后,将该方法用于美国名义国内生产总值(GDP)年化季度增长率的预测,结果表明,该方法预测精度较好.
基金the Laoshan Laboratory(No.LSKJ202203901)the Natural Science Foundation of Shandong Province,China(No.ZR2021MD079)+1 种基金the APEC Cooperation Fund(No.WJ1323001)the Asian Cooperation Fund(Nos.WJ1223001,WJ0923015)。
文摘To explore the relationship of microplastic pollution in different media in marine environment,microplastics in the surface seawater and sediments of Laizhou Bay,Bohai Sea,North China,were studied.Seawater samples were collected using a pre-concentrator equipped with a 20-μm mesh size sieve,and sediment samples were collected by a box sampler.The shape,color,size,and type of microplastics were obtained by a stereomicroscope and a Fourier transform infrared spectrometer(ATR-μ-FT-IR).Results show that the abundance of microplastics in the surface seawater of Laizhou Bay was 858.3±573.2 items/m~3,and that of microplastics in sediments was 151.0±77.4 items/kg dry weight(d.w.)The microplastics in seawater and sediments were mainly fibrous.Meanwhile,the microplastics in seawater were mainly transparent,and those in sediments were transparent and blue.The highest proportion of microplastics in seawater was rayon(77.48%),followed by polyethylene terephthalate(PET,13.17%).The highest proportion of microplastics in sediments was rayon(73.66%),followed by PET(8.90%).The size of microplastics in 1000-2000μm accounted for the largest proportion of 28.54%in seawater,while that in 500-1000μm took 27.93%in sediment.Microplastics in seawater and sediment showed medium-level pollution.In seawater,microplastic abundance was higher in offshore and nearshore areas of Weifang.In sediment,microplastic abundance was higher in offshore and nearshore areas of Dongying.The results of the principal component analysis(PCA)indicated that microplastics in sediment exhibited greater stability compared to those in seawater.The microplastics in seawater and sediment show a positive correlation in terms of shape and plastic type,while exhibiting a negative correlation in terms of color.Overall,microplastics in sediments were smaller in size,and those in seawater and sediments had consistent size distribution characteristics in space.
基金the Centre for Marine Living Resources and Ecology (CMLRE),Ministry of Earth Sciences (MoES), Kochi, Government of India, for the support of crew ‘FORV Sagar Sampada’Funding was provided by the Centre for Marine Living Resources and Ecology (CMLRE), Ministry of Earth Sciences (MoES), Kochi, Government of India
文摘Two new free-living marine nematode species belonging to the genus Tricoma Cobb,1894(Desmoscolecidae)are identi-fied from the continental shelf region of the Bay of Bengal.Tricoma ajmalia sp.nov.is characterized by the number of main rings(84 male and 85 female),the arrangement of somatic setae,the head shape with broadly truncated end,the relatively long cephalic setae(69%-73%of corresponding head diameter),the amphids extending up to second main ring,slender spicules slightly curved and gu-berbaculum with dorsocaudally directed apophyses.The second new species,Tricoma sampadansis sp.nov.is characterized by the number of rings(64),the arrangement of somatic setae(14-13 subdorsal,16 subvenral),the head shape with broadly truncated end,the relatively long cephalic setae(75%corresponding head diameter),the amphidial fovea extending over first main ring,anterioirly bent spicules and gubernaculum with hooked proximal end.An updated valid species list of Tricoma is also presented.
基金Supported by the Laoshan Laboratory(No.LSKJ202204005)the International Partnership Program of Chinese Academy of Sciences(No.121311KYSB20190029)+1 种基金the National Natural Science Foundation of China(Nos.U2006206,32371619)the International Partnership Program of Chinese Academy of Sciences(No.133137KYSB20200002)。
文摘To better understand the spatial variations in phytoplankton abundance and community structure and their relationship with environmental parameters in Jiaozhou Bay,Yellow Sea,in Shandong,East China,observations were conducted to estimate abundance of net-phytoplankton and key groups along with environmental parameters in three typical sites in seasonal survey from 2004 to 2016 in the bay.The spatial patterns of phytoplankton abundance differed obviously between the inner and the outer bay.The abundance of total phytoplankton and diatoms increased obviously in the northern part of the bay,while decreased in the southern part and outer bay.An increase in dinoflagellate abundance was obvious in the outer bay.Variations in the dynamics of phytoplankton abundance could be largely explained by the succession of chain-forming diatoms and dinoflagellates.The key chain forming diatom groups Chaetoceros and Thalassiosira increased markedly,especially in winter in the northern part of the bay,while in the southern part and the outer bay,Chaetoceros declined.Besides,the key dinoflagellate groups Ceratium and Noctiluca increased noticeably,resulting in a significant increase in the dinoflagellate/diatom ratio in the outer bay.These variations has a significant correlation with environmental variables of surface seawater temperature,phosphorus,nitrogen,salinity,and N/Si ratio(P<0.05).For the key groups,temperature was the primary driver of dinoflagellate abundance,while the N/P ratio was critical for chain-forming diatoms.The abundance of phytoplankton showed a clear spatial pattern and associated obviously with environmental factors in the marine ecosystems,offering insights into coastal ecosystem management and conservation strategies.
基金the Natural Science Key Foundation of Fujian ProvinceChina(No.2020J02002)+4 种基金the Hainan Province Science and Technology Special Fund(No.ZDYF2022SHFZ317)the National Natural Science Foundation of China(Nos.U2005207,41976216,41776088,42106224)the Norwegian Institute of FoodFishery and AquacultureGovernance of Marine Plastic Litter in the Arctic。
文摘Microplastic(MP)contamination is becoming a major worldwide concern,affecting terrestrial and aquatic ecosystems.This study investigated the source,distribution,and abundance of MPs in sediments from Dongshan Bay,Fujian,South China,emphasizing particularly the coastline region's susceptibility to tidal impacts in four study sites.The concentrations of MPs in the sediments in the four sites were high from 7.4 to 283.1 items/kg(dry weight).There were notable differences in abundance between the locations and tide levels.Tides influenced the distribution of MPs greatly;however,the estuary areas showed greater MPs abundance during high tide,due possibly to enhanced water turbulence and riverine inputs.Low tide indicated higher concentrations in coastal locations owing to accumulation.Popular varieties,including nylon,polypropylene,and polyethylene,were identified by polymer research,pointing to the origins from fishing,packaging,and mariculture industries.Potential sources were determined using the PCA-K-means statistical analysis,by linking the origins of MPs to domestic activities,fishing,mariculturing,shipping,and packing.Fishing and packing were shown in the Sankey diagram as the two main sources,but their effects varied with research locations and tidal regimes.This study clarified the intricate dynamics of MPs pollution,highlighting the impact of tides on its dispersal and the variety of sources that contribute to this widespread environmental problem in coastal areas.
基金supported by grants from the Science and Technology Bureau of Xiamen(No.3502Z20227207)。
文摘Dongshan Bay,along with Xiamen Bay,serves as a significant distribution area for amphioxus in Fujian Province.In this survey,we observed that the sedimentary environment of Dongshan Bay has been seriously silted due to rapid economic development and the thriving aquaculture industry.Consequently,there has been a significant reduction in suitable habitats for amphioxus and a sharp decline in its resource abundance.Totally 9 amphioxuses were collected from its eastern region in 2022 with a population density of 18.75 ind m^(-2) and a body length from 34.15 to 48.02 mm.The amphioxuses acquired in this investigation were classified as Branchiostoma japonicum based on morphological traits,such as a cuspate rostral fin,measurements of angles between the dorsal and super-caudal fins,angles between the pre-anal and sub-caudal fins,along with an accurate count of pre-anal fin chambers which matched those observed in B.japonicum.Moreover,a molecular barcoding analysis was conducted using a fragment of the mitochondrial COI gene.The results indicated that Branchiostoma sp.from Dongshan Bay in this study belongs to B.japonicum,providing additional support for the morphological identification results.Considering amphioxuses are still surviving in Dongshan Bay despite the destruction of their habitat,it is recommended to implement measures to safeguard their resources and habitats.The measures may include designating protection areas,strengthening law enforcement management to prohibit sand mining,regulating the scale of cage aquaculture,and augmenting wild resources through artificial breeding and release.
文摘When assessing seismic liquefaction potential with data-driven models,addressing the uncertainties of establishing models,interpreting cone penetration tests(CPT)data and decision threshold is crucial for avoiding biased data selection,ameliorating overconfident models,and being flexible to varying practical objectives,especially when the training and testing data are not identically distributed.A workflow characterized by leveraging Bayesian methodology was proposed to address these issues.Employing a Multi-Layer Perceptron(MLP)as the foundational model,this approach was benchmarked against empirical methods and advanced algorithms for its efficacy in simplicity,accuracy,and resistance to overfitting.The analysis revealed that,while MLP models optimized via maximum a posteriori algorithm suffices for straightforward scenarios,Bayesian neural networks showed great potential for preventing overfitting.Additionally,integrating decision thresholds through various evaluative principles offers insights for challenging decisions.Two case studies demonstrate the framework's capacity for nuanced interpretation of in situ data,employing a model committee for a detailed evaluation of liquefaction potential via Monte Carlo simulations and basic statistics.Overall,the proposed step-by-step workflow for analyzing seismic liquefaction incorporates multifold testing and real-world data validation,showing improved robustness against overfitting and greater versatility in addressing practical challenges.This research contributes to the seismic liquefaction assessment field by providing a structured,adaptable methodology for accurate and reliable analysis.
基金The National Natural Science Foundation of China under contract Nos 41976217 and 42306249the National Key Research and Development Program of China under contract No.2018YFA0605701.
文摘A three-dimensional coupled sea ice-ice shelf-ocean numerical model is developed for the Prydz Bay,Antarctica,using the Regional Ocean Modeling System with a grid resolution of approximately 2 km.The influence of the grounding giant iceberg D15 on the distribution of sea ice and polynyas in the Prydz Bay is analyzed through two numerical experiments.Iceberg D15,grounded off the western edge of the West Ice Shelf(WIS),obstructs the southwestward transport of sea ice along the east coast of Prydz Bay,causing sea ice to accumulate to the east of the iceberg and form multi-year fast ice.Grounding of Iceberg D15 also decreases sea ice coverage off its south edge and creates ice-free openings in spring near Davis Station and Zhongshan Station,facilitating the accessibility of vessels to the research stations.These simulated sea ice patterns closely match current satellite observations.When Iceberg D15 is removed,the previously blocked sea ice north of the iceberg,which moved westward,shifts southwesterly along the coastline,leading to a reduction in sea ice thickness during winter and spring,as well as lower sea ice concentrations in spring across large areas north and west of the iceberg.In contrast,the sea ice thickness increases considerably southwest of the WIS,extending to the front of the Amery Ice Shelf during seasons covered by sea ice.The increase in sea ice concentration can also extend to as far as 75°E in spring.Without Iceberg D15,which previously contributed to the ice barrier of Barrier Polynya(BP),the shape of BP changes,the area of BP and Davis Polynya(DP)decreases,and the polynya off the northwest edge of the WIS near 83°E expands.These polynya patterns are much similar to the satellite remote sensing observations before Iceberg D15 was grounded.From April to October,the total area of BP and DP decreases by 2.83×10^(4)km^(2)(60%)and 2.20×10^(3)km^(2)(20%),respectively,while the total sea ice production decreases by 4.11×10^(10)m^(3)(66%)and 1.52×10^(10)m^(3)(52%)compared to the experiment with iceberg.These results indicate the substantial effects of grounding giant icebergs on the spatio-temporal distribution of sea ice,the area of polynyas,and sea ice production.High-resolution Antarctic coastal numerical models,typically with grid scales of kilometers,are sufficient to represent large icebergs,and adding the grounding giant icebergs is crucial for producing realistic simulations of sea ice and polynyas.
