bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comprehensive Satellite Observations and a Numerical Study of a Wintertime Shallow Sea Smoke Event in the Yellow Sea
Authors: Li Xiaofeng , Shen Dongliang , Zheng Gang , Zhou Lizhang , Liu Aiyue 
Published: September 2022

Abstract
A winter storm triggered a significant sea smoke with the northwesterly wind to the Yellow Sea, China, on 7 January 2021. The ocean responses to this event lasted about 3 days. Satellite observations show that the sea surface temperature dropped from 5.7° to 4.7°C on the following day and then recovered to the previous level; the chlorophyll-a, a bio-growth indicator, increased from 3.6 to 3.9 mg m−3 due to cooling-induced coastal upwelling between 7 and 9 January. Two buoys measurements showed that the air temperature dropped to −13.3°C and high relative humidity with a maximum value of 89.0% above the sea surface, creating favorable conditions for sea smoke generation. A Regional Ocean Modeling System (ROMS) and Weather Research and Forecasting (WRF) Model coupled model with the Goddard Chemistry Aerosol Radiation and Transport (GOCART) chemical module was implemented to reproduce this sea smoke phenomenon and analyze the air–sea interaction. The 20°C temperature difference between extreme cold air (−13.3°C) and the relatively warm stable sea surface (4.7°–5.7°C) enhanced the seawater evaporation. In addition, we suppose the concentration of sea salt, a kind of condensation nucleus, with a particle diameter of 0.5–1.5 μm above the sea surface increased quickly on 7 January. The boiling-water-like sea surface was imaged on a synthetic aperture image. We developed an image analysis method to describe the cell-shaped texture characteristics imaged by Synthetic Aperture Radar (SAR). We also found that the sea surface imprints of sea smoke are governed by the thermal, not the dynamical instability.

Significance Statement
On 7 January 2021, a significant sea smoke event happened in the Yellow Sea. The ocean response to the event lasted 3 days. First, on a synoptic scale, this study presents the comprehensive satellite observations of the sea surface temperature drop and chlorophyll-a increase associated with the sea smoke. Second, a coupled air–sea interaction model with the Goddard Chemistry Aerosol Radiation and Transport (GOCART) chemical module was implemented to reproduce this sea smoke phenomenon and identify which condensation nucleus induced such heavy sea smoke. Third, we developed an image analysis method to analyze high-resolution synthetic aperture radar images and found that the sea surface imprints of sea smoke are governed by the thermal, not the dynamical instability.
Variations of Subgrid-Scale Turbulent Fluxes in the Dry Convective Boundary Layer at Gray Zone Resolutions
Authors: Liu Mengjuan , Zhou Bowen 
Published: September 2022

Abstract
In the numerical gray zone of the convective boundary layer (CBL), the horizontal resolution is comparable to the size of organized convective circulation. As turbulence becomes partially resolved, gridscale variations of the subgrid-scale (SGS) turbulent fluxes become significant compared to the mean. Previously, such variations have often been ignored in scale-adaptive planetary boundary layer (PBL) schemes developed for the gray zone. This study investigates these variations with respect to height and resolution based on large-eddy simulations. It is found that SGS fluxes exhibit maximum variability at the center of the gray zone, where the resolved and the SGS mean fluxes are approximately equal. A simple analytical model is used to associate such characteristic variations to the nonlinear interactions of the dominant energy-containing mode of CBL turbulence. Examination of the horizontal distribution of the SGS fluxes reveals their preferential location over the updraft edges surrounding the core. A priori analysis further suggests the ability of a scale-similarity closure to reproduce the unique spatial patterns of the SGS fluxes at gray zone resolutions. Four scale-adaptive PBL schemes are evaluated focusing on their representations of the modeled SGS flux variability. Their shared shortcomings as a result of their gradient diffusion–based formulation are exposed. This study suggests that a mixed model consisting of a scale-adaptive PBL scheme to represent the mean, and a scale-similarity component to account for gridscale variability to be advantageous for the gray zone.

Significance Statement
As Gresho and Lee’s famous quote on numerical schemes goes, “Don’t suppress the wiggles. They’re telling you something!” In the numerical gray zone, where the grid spacing is comparable to the characteristic length scale of the flow, turbulence is partially resolved. The “wiggles” (or gridscale variability) reflecting the resolved heterogeneity of turbulent fluxes is an outstanding feature of the gray zone. However, they are often overlooked as error bars to the mean. This study uncovers the significance of these error bars, and characterizes and explains their variations with height and grid spacing. A suitable model that captures such variations is investigated to help build better planetary boundary layer schemes.
Can Model Parameterization Accounting for Hydrological Nonstationarity Improve Robustness in Future Runoff Projection?
Authors: Zheng Hongxing , Chiew Francis H.S. , Zhang Lu 
Published: September 2022

Abstract
Dominant hydrological processes of a catchment could shift due to a changing climate. This climate-induced hydrological nonstationarity could affect the reliability of future runoff projection developed using a hydrological model calibrated for the historical period as the model or parameters may no longer be suitable under a different future hydroclimate. This paper explores whether competing parameterization approaches proposed to account for hydrological nonstationarity could improve the robustness of future runoff projection compared to the traditional approach where the model is calibrated targeting overall model performance over the entire historical period. The modeling experiments are carried out using climate and streamflow datasets from southeastern Australia, which has experienced a long drought and exhibited noticeable hydrological nonstationarity. The results show that robust multicriteria calibration based on the Pareto front can provide a more consistent model performance over contrasting hydroclimate conditions, but at a slight expense of increased bias over the entire historical period compared to the traditional approach. However, the robust calibration does not necessarily result in a more reliable projection of future runoff. This is because the systematic bias in any parameterization approach would propagate from the historical period to the future period and would largely be cancelled out when estimating the relative runoff change. Ensemble simulations combining results from different parameterization considerations could produce a more inclusive range of future runoff projection as it covers the uncertainties due to model parameterization.
Assessment of Model-Derived Mass Flux Relative to Satellite Gravimetry via a Water Balance in North America
Authors: Krichman Benjamin , Bettadpur Srinivas , Pekker Tatyana 
Published: September 2022

Abstract
GRACE and GRACE Follow-On (GRACE-FO) mission data are utilized to assess mass flux derived from the North American Regional Reanalysis (NARR) and the NLDAS-2 Noah land surface model via multiple water balance formulations. Water balances are computed for 18 medium size basins in North America at the USGS Watershed Boundary Dataset HU2 level over the span of the GRACE and GRACE-FO missions (2002–21). Performance of model-derived mass flux is presented in the context of statistical agreement to changes in terrestrial water storage (ΔTWS) derived from Center for Space Research (CSR) GRACE RL06 mass concentrations (mascons), and GRACE and NARR uncertainty is estimated against comparable datasets. The land surface water balance method utilizing NLDAS-2 Noah consistently outperforms the total column method utilizing NARR, which is likely due to enhanced precipitation forcing and an updated Noah model version used in NLDAS-2. The surface approach to the calculation of atmospheric moisture flux divergence is carried through the presented analyses and is demonstrated to be comparable in performance to the more common volume approach. Mass balance methodology, basin characteristics, and ΔTWS signal characteristics are assessed to quantify effects on model performance and while factors such as basin size, basin average topography gradient, and ΔTWS annual amplitude are shown to have a measurable effect on model performance, no single factor exhibited a dominant or consistent effect. Drought conditions are shown to have a significant temporally localized effect on model-derived mass flux accuracy, with NARR being particularly susceptible to this effect.

Significance Statement
Measurements of Earth’s gravity field from the GRACE and GRACE-FO satellite missions are utilized to create estimates of water storage changes in 18 North American river basins that are compared to changes in water storage calculated from an atmospheric model reanalysis (NARR) and a land surface model (NLDAS-2 Noah). The resulting comparison demonstrates that certain basin characteristics can have a slight effect on model accuracy, while climatic conditions such as drought can have a major impact on model accuracy. This work provides useful quantification of when and where modeled water transport loses accuracy, which is integral to our understanding of the present and future distribution of this crucial resource and the natural processes that affect it.
An Objective Scoring Method for Evaluating the Comparative Performance of Automated Storm Identification and Tracking Algorithms
Authors: Satrio Clarice N. , Calhoun Kristin M. , Campbell P. Adrian , Steeves Rebecca , Smith Travis M. 
Published: September 2022

Abstract
While storm identification and tracking algorithms are used both operationally and in research, there exists no single standard technique to objectively determine performance of such algorithms. Thus, a comparative skill score is developed herein that consists of four parameters, three of which constitute the quantification of storm attributes—size consistency, linearity of tracks, and mean track duration—and the fourth that correlates performance to an optimal postevent reanalysis. The skill score is a cumulative sum of each of the parameters normalized from zero to one among the compared algorithms, such that a maximum skill score of four can be obtained. The skill score is intended to favor algorithms that are efficient at severe storm detection, i.e., high-scoring algorithms should detect storms that have higher current or future severe threat and minimize detection of weaker, short-lived storms with low severe potential. The skill score is shown to be capable of successfully ranking a large number of algorithms, both between varying settings within the same base algorithm and between distinct base algorithms. Through a comparison with manually created user datasets, high-scoring algorithms are verified to match well with hand analyses, demonstrating appropriate calibration of skill score parameters.

Significance Statement
With the growing number of options for storm identification and tracking techniques, it is necessary to devise an objective approach to quantify performance of different techniques. This study introduces a comparative skill score that assesses size consistency, linearity of tracks, mean track duration, and correlation to an optimal postevent reanalysis to rank diverse algorithms. This paper will show the capability of the skill score at highlighting algorithms that are efficient at detecting storms with higher severe potential, as well as those that closely resemble human-perceived storms through a comparison with manually created user datasets. The novel methodology will be useful in improving systems that rely on such algorithms, for both operational and research purposes focusing on severe storm detection.
Association of Apolipoprotein A1, High Density Lipoprotein Cholesterol, and Their Ratio with Inflammatory Marker in Chinese Adults with Coronary Artery Disease
Authors: Dong Hongli , Wang Jie , Hu Ping , Lu Nan 
Published: September 2022

Sparse data assessed the association of apolipoprotein A1 (ApoA1) and high density lipoprotein cholesterol (HDL-C) with inflammation. We investigated this association in a hospital-based cross-sectional pilot study that included 7296 patients with coronary artery disease (CAD). In multivariate analysis, negative associations of ApoA1 and HDL-C with C-reactive protein (CRP), high sensitivity CRP (hsCRP), and tumor necrosis factor-α (TNF-α) were shown. The corresponding CRP, hsCRP, and TNF-α values were 5.28 (vs 11.70 mg/L), 4.50 (vs 11.50 mg/L), and 7.68 (vs 10.90 pg/mL) for ApoA1, and 7.13 (vs 10.60 mg/L), 6.27 (vs 9.19 mg/L), and 8.11 (vs 11.86 pg/mL) for HDL-C in the fourth quartiles compared with the first quartiles. ApoA1/HDL-C ratio was inversely associated with hsCRP and interleukin-6 (IL-6). No significant associations of ApoA1 and HDL-C with IL-6 and IL-8, and of ApoA1/HDL-C ratio with CRP, IL-8, and TNF-α were observed. In path analyses, there was no evidence of mediating effects of body mass index on the “ApoA1 and HDL-C-inflammation” relationship. Generally, our study of CAD patients identified graded and inverse associations of ApoA1, HDL-C, and ApoA1/HDL-C ratio with inflammatory marker (CRP, hsCRP, IL-6, IL-8, or TNF-α) levels.
The impact of covid-19: Anxiety, depression, and wellbeing among medical students
Authors: Chumakov Egor , Petrova Nataliia , Mamatkhodjaeva Tamila , Ventriglio Antonio , Bhugra Dinesh 
Published: September 2022

Background: Medical students have been considered as a vulnerable group at higher risk of mental health issues during the COVID-19 outbreak. Aims: We set out to detect symptoms of depression and anxiety in medical students in St. Petersburg (Russia) during the first wave of COVID-19 outbreak and explore the associations between psychosocial factors related to the pandemic and students’ psychological well-being. Method: An anonymous online survey of medical students was conducted in May–June 2020. The Hospital Anxiety and Depression Scale (HADS) was used for screening anxiety and depression symptoms. The final sample consisted of 144 students (78.5% females). Results: About 69.4% of respondents reported that COVID-19 pandemic and social restrictions were a new source of stress in their lives. More than one-third (38.9%) of respondents reported a need for psychological (emotional) support due to a change in their daily life during the COVID-19 pandemic, with the vast majority (83.9%) of these respondents indicated an increased need for support in this specific period. Symptoms of anxiety were reported by 55.8% of females (HADS score: 9.05 ± 4.69) and 48.4% of males (8.09 ± 5.0), and symptoms of depression were found in 38.9% of females (6.40 ± 3.57) and 41.9% of males (6.16 ± 3.21). Conclusions: These findings indicate that it is necessary to develop additional measures for the prevention and early diagnosis of mental disorders along with right levels of support for wellbeing and mental health of medical students in this ongoing pandemic.
Trans/Gender-Diverse Students’ Perceptions of Positive School Climate and Teacher Concern as Factors in School Belonging: Results From an Australian National Study
Authors: Ullman Jacqueline 
Published: September 2022

Background/Context: In recent years, numerous, ongoing moral panics with respect to the acknowledgment of gender and sexuality diversity within curriculum/policies have done considerable damage to Australian educators’ confidence and capacity to support gender and sexuality diverse students. Trans/gender-diverse students have been specifically targeted during this period. Purpose: Cisnormative microaggressions are a pervasive element of the Australian school climate, impacting trans/gender-diverse students’ relationships with school-based adults and peers and their experiences of schooling more broadly. This article seeks to contribute to scholarship exploring school well-being for trans/gender-diverse students, inclusive of students’ sense of their teachers’ concern for their personal and academic well-being, and its relationship to students’ perceptions of their school climate. Participants: This article explores data from trans/gender-diverse participants ( n = 685) in the 2021 Free2Be. . .Yet? Australian national online survey of gender and sexuality diverse high school students in Grades/Years 7–12. Research Design: Using students’ self-reported data on selected quantitative measures of school climate with respect to gender and sexuality diversity, alongside perceptions of teacher concern and expectations for success, as selected indicators of school-based well-being, this research sought to identify these variables’ predictive impact on students’ sense of belonging at school. Conclusion: Multiple regression analyses revealed the influence of an accepting and supportive schooling environment for gender and sexuality diversity on trans/gender-diverse students’ sense of school belonging, explaining additional factor variance beyond included demographic factors or students’ sense of teacher concern and expectations. Findings add to the body of existing literature recommending professional development for educators that interrogates and seeks to redress both structural and interpersonal cisnormative microaggressions and articulates the need for gender expansiveness.
Acute Swallowing Outcomes After Surgical Resection of Oral Cavity and Oropharyngeal Cancers With the Mandibular Lingual Release Approach
Authors: Hardingham Nicola , Ward Elizabeth , Clayton Nicola , Gallagher Richard 
Published: September 2022

AbstractObjectiveTo investigate the incidence, nature, severity, and recovery of early dysphagia in patients following surgical resection of oral and/or oropharyngeal squamous cell carcinoma with a mandibular lingual release approach (MLRA).Study DesignRetrospective cohort study.SettingTertiary head and neck cancer center.MethodsInclusion of patients’ after surgical resection of oral cavity and/or oropharyngeal squamous cell carcinoma via an MLRA between 2012 and 2017. Data collection included acute medical care, enteral feeding, and swallowing outcomes derived from clinical swallow examination and videofluoroscopic swallowing study assessments at baseline, after surgery, and prior to discharge.ResultsTwenty‐eight patients were eligible for participation (23 males; mean age, 63 years). Baseline clinical swallow examination findings revealed that 32% (n = 9) were tolerating normal diet and fluids preoperatively (Functional Oral Intake Scale [FOIS] = 7). Following surgery, the majority (n = 21, 75%) experienced severe dysphagia (FOIS ≤4), of which 15 were nil by mouth. Twelve patients received a postoperative videofluoroscopic swallowing study, with silent aspiration observed in 9 cases. At discharge, 12 (43%) patients had persistent severe functional dysphagia (FOIS ≤4) with ongoing enteral feeding requirements, of which 7 were nil by mouth. Eleven (39%) were managing diets of modified fluid/diet consistencies (FOIS = 5), and 5 (18%) had mild dysphagia (FOIS ≥6) at discharge. None were able to manage a normal diet. The average length of hospital stay was 27.9 days.ConclusionsEarly dysphagia post‐MLRA is a common and often severe complication of surgery. Patients require extended hospital admission with prolonged enteral feeding, which may persist postdischarge. This cohort requires early intervention by speech‐language pathology services to aid swallow rehabilitation.
Not all flowers bloom in April: Self-esteem development surrounding the first romantic relationship during adolescence and emerging adulthood
Authors: Gonzalez Avilés Tita , Borschel Elisabeth , Pusch Sebastian , Neyer Franz J. 
Published: September 2022

Most people experience their first romantic relationship during adolescence. However, there is also a substantial proportion of youth who remain single during this time. Delaying the transition into the first romantic relationship may be associated with a decrease in self-esteem which might recover or even increase after youth engage in their first romantic relationship. The current study examined self-esteem development surrounding the transition into the first romantic relationship over a period of 10 years in a sample of N = 1395 adolescents ( Mage = 16.22 at T1; Mage = 26.22 at T11) from pairfam, a German representative panel study starting in 2008. Results from multilevel piecewise growth curve models showed that self-esteem did not change before beginning the first relationship, but slightly decreased thereafter. There were no moderating effects of age at first relationship, single satisfaction, or relationship satisfaction. However, both single and partnered youth who were more satisfied with their current relationship status reported higher self-esteem on average. Overall, the findings extend the current understanding of self-esteem development surrounding the transition into the first romantic relationship. Being single during late adolescence and emerging adulthood does not seem to pose a risk for youth’s self-esteem development.
Mechanical behaviour of carbon fibre reinforced polymer composite material at different temperatures: Experimental and model assessment
Authors: Tefera Getahun , Adali Sarp , Bright Glen 
Published: September 2022

In the present study, temperature and frequency effects are studied involving carbon fibre reinforced polymeric materials with unidirectional fibers. Before testing, laminates were preserved in a deep freezer at −80, −20, 0, and 25°C for 60 days. Compressive, tensile, and stiffness behaviors of the laminates were assessed. The results confirmed that the compressive strength, tensile strength, and tensile modulus of laminates severely deteriorate at high temperatures. This might happen because of the weakening of the fibre/matrix interface, resulting in the load-carrying capacity of the carbon fibre being severely reduced. Lower temperatures did not significantly affect the mechanical performance of the laminates. This is due to minor deformation of the frozen laminates and closely compacted epoxy chain segments. The effects of temperature and vibration on the storage modulus, loss modulus, and damping behaviour of laminates are discussed. The results confirm that a reduction in mechanical performance is a strongly temperature-dependent phenomenon. Laminate damping properties are also evaluated. According to the results of the experiments, −80°C has the greatest permanence. Finally, the accuracy of the results on storage modulus was compared with empirical models. The model suggested by Gibson et al. provided the most accurate estimates for the storage modulus of the laminates. Other models were less accurate and gave non-conservative estimates.