Article
Meteorology & Atmospheric Sciences
Hui Xu, Lei Chen, Wansuo Duan
Summary: Different types of optimally growing initial errors (OGEs) for El Nino events were identified in the CESM, leading to various intensities and diversities of impacts. These errors can cause mispredictions of El Nino events, resulting in them being incorrectly forecasted as neutral states or La Nina events.
Article
Oceanography
Li Zhou, Qiang Wang, Mu Mu, Kun Zhang
Summary: The accurate prediction of the Antarctic circumpolar current (ACC) transport remains challenging due to its high nonlinearity. This study investigates the sudden shifts in ACC transport through Drake Passage (DP) and finds that the optimal precursor (OPR) at specific depths and structures in the middle DP plays a crucial role in triggering sudden reductions in transport. Baroclinic instability is identified as a dominant factor in the development of OPRs, suggesting that careful monitoring of deep-layer density perturbations in the Southern Ocean is important for short-range ACC transport prediction.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2021)
Article
Oceanography
Li Zhou, Kun Zhang, Qiang Wang, Mu Mu
Summary: This study investigates the effects of initial errors on the 30-day prediction of the sudden shift in the Antarctic Circumpolar Current (ACC) transport through the Drake Passage (DP). The optimally growing initial errors (OGIEs) are primarily located under 2000 m in the middle DP of (57 degrees S-62 degrees S, 73 degrees W-64 degrees W). The OGIEs cause significant transport prediction errors by exciting anomalous dipolar circulations. Linear advection contributes to error vorticity evolutions, while nonlinear advection and ageostrophic divergence show damping effects. Targeted observation in the sensitive areas determined by OGIEs can effectively enhance the ACC transport predictions.
Article
Computer Science, Software Engineering
Bin Mu, Jing Li, Shijin Yuan, Xiaodan Luo, Guokun Dai
Summary: This paper proposes a new method for identifying the OPR of NAO using CESM, called the parallel PCA-based PSO and GA hybrid algorithm (PGAPSO). Compared to traditional methods, this approach shows better fitness and more mature patterns, as well as strong robustness and efficiency.
SCIENTIFIC PROGRAMMING
(2022)
Article
Biotechnology & Applied Microbiology
Aixing Pan, Hongtao Ding, Junjie Wang, Zhuo Zhang, Hongbo Zhang, Yuzeng Liu, Yong Hai
Summary: This study analyzed the stress distribution of different upper instrumented vertebra in the dual growing-rod system. The results showed that using the upper-end vertebra of the upper thoracic curve as the upper instrumented vertebra can reduce the occurrence of proximal junctional kyphosis.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Obstetrics & Gynecology
Payam Vali, Gary M. Weiner, Deepika Sankaran, Satyan Lakshminrusimha
Summary: The neonatal resuscitation program recommends a wide range of epinephrine doses for newborns receiving chest compressions, causing challenges for care providers in determining the optimal initial dose. To reduce dosing errors, it is suggested to use specified epinephrine doses and syringes based on animal data.
JOURNAL OF PERINATOLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Jiaying Ke, Mu Mu, Xianghui Fang
Summary: The study explored the impact of optimally growing initial errors on the mesoscale predictability of typical mei-yu front heavy precipitation events over eastern China using the CNOP approach. CNOPs as optimally growing initial errors caused the largest forecast errors, with specific spatial structure playing a key role in meso- and convective-scale processes. The study suggests that reducing large-scale initial errors can potentially improve forecast accuracy for these events, but the predictability is inherently limited due to moist convection.
MONTHLY WEATHER REVIEW
(2022)
Article
Immunology
Takahiro Kido, Sho Hosaka, Kazuo Imagawa, Hiroko Fukushima, Tomohiro Morio, Shigeaki Nonoyama, Hidetoshi Takada
Summary: This study surveyed the clinical manifestations of patients with inborn errors of immunity (IEI) in Japan and found that the ten warning signs are significant for early diagnosis, but some symptoms are not applicable to patients with immune dysregulation. It was also observed that patients in certain age groups had a higher positivity rate for family history. Infectious symptoms were the most commonly observed in all age groups and disease categories. These results have important implications for early diagnosis of IEI.
JOURNAL OF CLINICAL IMMUNOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Qun Liu, Ben Kneller, Wei An, Xiumian Hu
Summary: The study in Xigaze, Tibet reveals a sedimentary succession indicating the onset of continental collision, with mass transport deposits and sand injection complexes suggesting the collision occurred around 61 Ma. The co-occurrence of these sedimentary features provides additional constraints for determining the timing of the collision.
JOURNAL OF THE GEOLOGICAL SOCIETY
(2021)
Article
Oceanography
Jingyi Liu, Kun Liu, Wuhong Guo, Peng Liang, Lianglong Da
Summary: This 3-day hindcast case study focuses on the effects of initial errors on VTS prediction in the NSCS and provides scientific guidance on observation design. The study estimates the impact of optimal initial errors (OIEs) on 3-day VTS prediction and clarifies their nonlinear evolution mechanism. Sensitive areas are identified for targeted observation, and eliminating initial errors in these areas can significantly improve VTS prediction.
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS
(2023)
Article
Family Studies
Loren D. Marks, Heather H. Kelley, David C. Dollahite, Elisabeth R. Kimball, Spencer James
Summary: This article explores the relationship between family dinner and family well-being during the COVID-19 shutdowns, based on a survey of 731 adult parents in the United States. The findings indicate that maintaining regular family meals or increasing their frequency is associated with stronger closeness and more positive perceptions of the pandemic's impact.
MARRIAGE AND FAMILY REVIEW
(2023)
Article
Environmental Sciences
Shijin Yuan, Xiaodan Luo, Bin Mu, Jing Li, Guokun Dai
Article
Meteorology & Atmospheric Sciences
Guokun Dai, Mu Mu, Zhina Jiang
ADVANCES IN ATMOSPHERIC SCIENCES
(2019)
Article
Meteorology & Atmospheric Sciences
Guokun Dai, Mu Mu, Zhina Jiang
JOURNAL OF METEOROLOGICAL RESEARCH
(2019)
Article
Meteorology & Atmospheric Sciences
Guokun Dai, Mu Mu
ADVANCES IN ATMOSPHERIC SCIENCES
(2020)
Article
Meteorology & Atmospheric Sciences
Bin Mu, Jing Li, Shijin Yuan, Xiaodan Luo, Guokun Dai
ADVANCES IN METEOROLOGY
(2020)
Article
Meteorology & Atmospheric Sciences
Guokun Dai, Mu Mu, Chunxiang Li, Zhe Han, Lei Wang
Summary: The study evaluates the forecast skill for East Asian extreme cold events from 2015-2019 using the subseasonal-to-seasonal operational forecasts from the European Centre for Medium-Range Weather Forecasts. The results show that numerical models can capture extreme cold events with a lead time of 7 days, and long-persistent extreme cold events have a longer skillful forecast lead time, potentially due to high intrinsic predictability. This suggests the possibility of making skillful forecasts for subseasonal-to-seasonal and beyond time scales.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Meteorology & Atmospheric Sciences
Guokun Dai, Mu Mu
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2020)
News Item
Meteorology & Atmospheric Sciences
Guokun Dai, Chunxiang Li, Zhe Han, Dehai Luo, Yao Yao
Summary: Three extreme cold events occurred in China between December 2020 and mid-January 2021, leading to drastic temperature drops and setting new low-temperature records. These events were associated with low Arctic sea ice extent and a La Nina event, with the third event showing the highest predictability in forecasting East Asian cooling. Further research on the predictability of these cold events and their relationships with atmospheric initial conditions, Arctic sea ice, and La Nina is warranted.
ADVANCES IN ATMOSPHERIC SCIENCES
(2022)
Article
Meteorology & Atmospheric Sciences
Ruonan Zhang, Renhe Zhang, Guokun Dai
Summary: An unprecedented cold event occurred in Central and eastern Eurasia during the 2020/21 winter, with potential drivers being the concurrent Arctic sea-ice loss and extratropical Pacific decadal oscillation (EPDO) warming. Simulation experiments suggest that sea-ice and autumn EPDO play important roles in driving cold events, with their combined effects showing the largest cooling response.
Article
Meteorology & Atmospheric Sciences
Runzi Chen, Guokun Dai, Ran Liu, Lei Wang
Summary: The fall sea ice in the Barents and Kara Seas is influenced by both the atmosphere and ocean, with sea surface temperature and atmospheric weather systems playing key roles in shaping sea ice extent. Models constructed based on these physical mechanisms show skillful predictions of sea ice variability, providing valuable information for decision-making.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Computer Science, Software Engineering
Bin Mu, Jing Li, Shijin Yuan, Xiaodan Luo, Guokun Dai
Summary: This paper proposes a new method for identifying the OPR of NAO using CESM, called the parallel PCA-based PSO and GA hybrid algorithm (PGAPSO). Compared to traditional methods, this approach shows better fitness and more mature patterns, as well as strong robustness and efficiency.
SCIENTIFIC PROGRAMMING
(2022)
Article
Meteorology & Atmospheric Sciences
Xueying Ma, Mu Mu, Guokun Dai, Zhe Han, Chunxiang Li, Zhina Jiang
Summary: The predictability of strong and long-lasting Ural blocking (UB) formation in extended-range prediction is influenced by the Arctic sea ice concentration (SIC), particularly the SIC perturbations in the Greenland Sea, Barents Sea, and Okhotsk Sea. These perturbations affect the local temperature field and zonal winds in the Ural sector, influencing UB formation.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Meteorology & Atmospheric Sciences
Zhizhen Xu, Jing Chen, Mu Mu, Lingjiang Tao, Guokun Dai, Jingzhuo Wang, Yanan Ma
Summary: In this study, a conditional non-linear-stochastic perturbation method is used to address model uncertainties in a high-resolution convective-scale system. The results show that combining non-linear and stochastic schemes can better represent model uncertainties and provide insights for future model perturbation strategies for convective-scale ensembles.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
(2022)
Article
Meteorology & Atmospheric Sciences
Jie Feng, Jincheng Wang, Guokun Dai, Feifan Zhou, Wansuo Duan
Summary: This study adopted a modified Statistical Analysis and Forecast Error (SAFE) estimation method to objectively and directly quantify spatiotemporal errors in analyses compared to reality. The results showed that SAFE can provide more reasonable spatial-mean analysis error profiles than can the estimation with the ERA-5 reanalysis as a reference. The relative reductions of analysis errors in wind, temperature, and geopotential height were about 12.5%, 29%, and 24.5%, respectively, throughout the six-year study period.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
(2023)
Article
Meteorology & Atmospheric Sciences
Guokun Dai, Mu Mu, Lei Wang
Summary: The study using the CAM4 model found that sudden Arctic sea-ice thinning has a significant impact on North Atlantic Oscillation events, especially in relation to the position of the NAO event. Sudden sea-ice thinning can induce cold (warm) advection, leading to a positive (negative) NAO response.