Arctic Ocean properties and processes are highly relevant to the regional and global coupled climate system, yet still scarcely observed, especially in winter. Team OCEAN conducted a full year of physical oceanography observations as part of the Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC), a drift with the Arctic sea ice from October 2019 to September 2020. An international team designed and implemented the program to characterize the Arctic Ocean system in unprecedented detail, from the seafloor to the air-sea ice-ocean interface, from sub-mesoscales to pan-Arctic. The oceanographic measurements were coordinated with the other teams to explore the ocean physics and linkages to the climate and ecosystem. This paper introduces the major components of the physical oceanography program and complements the other team overviews of the MOSAiC observational program. Team OCEAN’s sampling strategy was designed around hydrographic ship-, ice- and autonomous platform-based measurements to improve the understanding of regional circulation and mixing processes. Measurements were carried out both routinely, with a regular schedule, and in response to storms or opening leads. Here we present along-drift time series of hydrographic properties, allowing insights into the seasonal and regional evolution of the water column from winter in the Laptev Sea to early summer in Fram Strait: freshening of the surface, deepening of the mixed layer, increase in temperature and salinity of the Atlantic Water. We also highlight the presence of Canada Basin deep water intrusions and a surface meltwater layer in leads. MOSAiC most likely was the most comprehensive program ever conducted over the ice-covered Arctic Ocean. While data analysis and interpretation are ongoing, the acquired datasets will support a wide range of physical oceanography and multi-disciplinary research. They will provide a significant foundation for assessing and advancing modeling capabilities in the Arctic Ocean.

BackgroundLow family socio‐economic status (SES) is usually associated with children’s poor academic achievement, but the mechanisms underlying this relationship are less understood.AimsThe present study examined the mediating role of parental academic involvement and the moderating role of parental subjective social mobility in this relationship with cross‐sectional data.Sample and methodsA total of 815 fourth‐ to sixth‐grade children were recruited from five elementary schools in China. Family SES (measured by parents’ education, parents’ occupation and family income) and parental subjective social mobility were obtained directly from parents, parental academic involvement was reported by children, and information on children’s academic achievement was collected from their teachers.ResultsThe results showed that (1) both family SES and parental academic involvement were positively correlated with children’s Chinese and math achievement, (2) parental academic involvement mediated the relationships between family SES and children’s Chinese and math achievement, and (3) parental subjective social mobility moderated the path from family SES to parental academic involvement. The models of children’s Chinese and math achievement showed that the association between family SES and parental academic involvement was weak among children’s parents who reported high levels of subjective social mobility.ConclusionsThese findings suggest that there is a pathway from family SES to children’s academic achievement through parental academic involvement and that this pathway is dependent on the level of parental subjective social mobility.

At climate-sensitive high-latitude and high-elevation regions, air temperatures have risen about twice as fast as the global average in recent decades (

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The correlations between a low family socioeconomic status (SES) and adolescents’ poor academic outcomes have been widely documented. However, the mechanisms through which family SES is associated with adolescents’ academic achievement are not well understood. Therefore, this study examined the mediating roles of different types of parental involvement (i.e., parental school-based involvement, academic socialization, and home-based involvement) and the moderating role of adolescents’ subjective social mobility in the relationships between family SES and academic achievement by using multisource data. The valid sample consisted of 842 adolescents ([Formula: see text] = 12.28 years, 40.97% girls) who were recruited from five township public schools in China. The results indicated that all three types of parental involvement partially mediated the relationships between family SES and adolescents’ Chinese and math achievement; parental school-based involvement had the strongest mediating effects, followed by academic socialization, and home-based involvement had the lowest mediating effects. Moreover, the path from parental home-based involvement to Chinese achievement in the mediation model was moderated by the adolescents’ subjective social mobility. In conclusion, parental involvement is an important mediating mechanism through which a low family SES impedes adolescents’ academic achievement, and adolescents’ subjective social mobility can play a buffering role in the relationship between parental home-based involvement and Chinese achievement.

Satellite images are used extensively in studying the urban heat island (UHI) phenomenon. We evaluated the suitability of thermal infrared (TIR) data from the HJ-1B satellite for detecting UHI using a case study in Beijing. Two modified algorithms for retrieving the land surface temperature (LST) from HJ-1B data were tested. The results were compared with LST images derived from a Landsat TM thermal band and the MODIS LST output. The spatial pattern of UHI generated using HJ-1B data matched well with that produced using TM and MODIS data. Of the two algorithms, the mono-window algorithm performed better but further tests are necessary. With more frequent coverage than TM and higher spatial resolution than MODIS, the HJ-1B TIR data present a unique opportunity to study thermal environments in cities in China and neighboring countries. surface temperature, NDVI, mono-window algorithm, single-channel algorithm Citation: Yang J, Gong P, Zhou J X, et al. Detection of the urban heat island in Beijing using HJ-1B satellite imagery.The urban heat island (UHI) phenomenon is a widespread environmental problem of increasing importance in China due to rapid urbanization. By replacing the natural landscape with dense built environments and releasing anthropogenic heat into the atmosphere, the urbanization process increases temperatures in cities compared with surrounding rural areas. The impacts of this warming effect on energy use, human health, and atmospheric pollutions have been well documented [1]. Therefore, it is imperative to take actions to mitigate UHI. As a first step, reliable information on the intensity and distribution of UHI needs to be obtained. The magnitude of UHI and its spatial and temporal variations are explored usually using two types of methods. Conventionally, air temperature-based UHI is quantified through statistical analysis of weather station data, site survey data, moving observations, or computer simulation. Weng [2] pointed out that this method can provide high temporal resolution and long-term coverage, but lacked spatial details. Surface temperature-based UHI determined from satellite imagery can offer a continuous and simultaneous view of a whole city, and this has led to increasing use of using remotely-sensed TIR data in studying UHI. Land surface temperature (LST) data retrieved from satellite imagery are used to derive UHI parameters and to model UHI spatially and temporally.A series of satellite and airborne sensors have been developed to collected TIR data. The TIR sensor aboard the HJ-1B satellite launched on September 6, 2008 is a relatively new addition to this group. The HJ-1B satellite has a high return frequency and images are available freely to the public. These data are potentially useful for studying UHIs

The field investigation was undertaken to determin the characteristics of Salix psammophila plant morphdogy and airflow structure of single-line S. psammophila on the southern edge of the Mu Su sandland. The results showed that artificially cultivated single-line S. psammophila could accumulate sand because the plant decreased the windward and leeward wind velocity. There was a significant correlation (R = 0.696) between accumulated sand volume (V 2 ) and plant volume (V 1 ). The wind velocity was 6 m/s at a 4 m height of single-line S. psammophilahedge row. The wind velocity decreased at 3 H windward and increased at 2 H to windward. The wind velocity then steeply decreased to leeward and reached its lowest value at 1 H to leeward and gradually recovered to the open field velocity. The protection distance of the single-line S. psammophila was about 17 H' and the effective protection distance was about 13 H'. Single-line S. psammophila had few effects on the wind velocity when the wind was above the plant height.

The reproductive characteristics of plants are likely affected by climate change e.g., changes in precipitation patterns and nitrogen deposition, but few studies have examined the effects of these ecological agents of selection on the seed yield and germination characteristics of perennial grasses. Here, we conducted a multiple-year pot experiment with Leymus chinensis, a common perennial grass in the eastern region of the Eurasian steppe zone, which was grown under three water treatments with and without nitrogen addition. The seed yield of L. chinensis increased with precipitation and was highest (7.0 g/pot) under 747 mm of precipitation with nitrogen addition (10.5 g/m2). Seed yield was positively correlated with heading number, tiller number, and grain number per spike, and the heading number was a critical factor affecting seed yield. Seed germination percentage and the time to obtain 50% germination were affected by environmental cues experienced by the mother plants.