Aim To deeply explore the experience of front‐line nurses who participated in rescuing Wuhan during the early stage of coronavirus disease 2019 (COVID‐19) epidemic. Methods Using a descriptive qualitative design, individual semi‐structured interviews were conducted between February 25 and March 5, 2020. A conventional content analysis method was used in data analysis to extract themes and sub‐themes. Results Six themes emerged after data analysis: (a) worries and stress during rescue; (b) difficulties encountered during rescue; (c) experience of team work; (d) experience of interaction with COVID‐19 patients; (e) experience of logistic support and widespread concern; and (f) value and significance of the experience. Conclusions Nurses took on difficult missions in the rescue and played an irreplaceable role. They experienced remarkable psychological changes over the intensive work. It was necessary to understand the feelings and problems of the nurses so as to establish a healthcare system that can protect medical staff effectively in future disasters.

The Tibetan Plateau (TP), which is also known as "The Third Pole," is the highest land area in the world and has widespread seasonal snow cover. In the past 50 years, the TP has undergone dramatic changes characterized by imbalances in the warming climate, such as accelerated glacier retreats, permafrost degradation, lake expansions, and snow cover change (S.

Purpose The aim of the present study was to examine the behavioral responses of pregnant women during the early stage of Coronavirus Disease 2019 (COVID-19) outbreak. Methods We recruited 1,099 women to complete an online questionnaire survey from February 10 to February 25, 2020. The subjects were divided into two groups (the pregnant women group and the control group). Results Concerns about infection: most of the participants watched the COVID-19 news at least once a day. Protective behaviors: the utilization rate of pregnant women (often using various measures) was higher than that of non-pregnant women. Exercise: 30.6% of the pregnant women continued to exercise at home, while in the control group, this percentage was 8.4%. Spouse relationship: 38.8% of the subjects’ relationship improved, while only 2.3% thought the relationship was getting worse. Conclusions Pregnant women had some unique behavioral responses different form that of non-pregnant women. It is important to understand the behavioral responses of pregnant women in this network Era.

Education undertakes the era mission of serving China’s external development strategy, and provides comprehensive personnel support, constructive intellectual support, shared humanistic exchanges, and harmonios understanding of value for the interconnections among countries along the One Belt One Road (obor). Since 2014, China’s policies on “education + ‘One Belt One Road’” have been continuously refined and expanded, and a policy system of education’s services for the obor initiative has been initially formed, which providing high-quality and top-level designs for promoting the construction of obor initiative. Educational services for the obor initiative are facing new challenges and opportunities under the global covid-19 epidemic. For example, the international misunderstandings and stigmatizations bring opportunities for introspecting the construction of China’s international discourse system; the traditional cooperation modes of offline education is blocked, which brings opportunities for exploring new forms of educational services; the contents and modes of education are becoming increasingly diversified, putting forward higher requirements for the comprehensive qualities of each educational subject. In the future period of normalization of epidemic prevention and control, it is urgent to improve the quality of educational services by maintaining strategical focuses, such as deepening the educational opening up and cooperation, optimizing the personnel training concepts and teaching modes, and improving the guarantee mechanism.

The land surface scheme is crucial for the performance of regional climate models in dynamic downscaling application. In this study, we explore the sensitivity of the simulation with 10-km resolution Weather Research and Forecasting (WRF) model to the land surface schemes in simulating South Asian summer monsoon. The WRF simulations for 19 summers from 2000 to 2018 are conducted with four different land surface schemes including Exp-CLM4, Exp-Noah-MP, Exp-PX, and Exp-SSiB, with that the initial and boundary conditions for the WRF model simulations are provided from the NCEP-FNL data. The ERAI reanalysis data, GHCN-CAMS, and CRU gridded data are used to comprehensively evaluate the WRF simulations. Compared with verification data, the WRF model can reasonably capture the spatial patterns of summer mean largescale atmospheric circulation, 2-m temperature and precipitation. The simulation results, however, are sensitive to the option of land surface scheme. The performance of Exp-CLM4 and Exp-SSiB is better than that of Exp-Noah-MP and Exp-PX assessed by multivariable integrated evaluation (MVIE) method. To explore the dynamic and physical mechanisms behind the WRF model sensitivity to land surface schemes, the differences in the surface energy balance between the ensemble means Ens-CLM4-SSiB and Ens-NoanMP-PX are analysed in detail. The results illustrate that the intensity of the simulated sensible heat flux over South Asia is weaker in Ens-CLM4-SSiB than that in Ens-NoahMP-PX. The simulated wind fields are influenced due to the geostrophic adjustment process caused by large differences in geopotential height; thus, the simulations of 2-m temperature and precipitation are all affected.

The arid and semi-arid areas of the Loess Plateau are extremely sensitive to climate change. Land-atmosphere interactions of these regions play an important role in the regional climate. However, most present land surface models (LSMs) are not reasonable and accurate enough to describe the surface characteristics in these regions. In this study, we investigate the effects of three key land surface parameters including surface albedo, soil thermal conductivity, and additional damping on the Noah LSM in simulating the land surface characteristics. The observational data from June to September from 2007 to 2009 collected at the Semi-Arid Climate and Environment Observatory of Lanzhou University (SACOL) station in northwest China are used to validate the Noah LSM simulations. The results suggest that the retrieved values of surface albedo, soil thermal conductivity, and additional damping based on observations are in closer agreement with those of the MULT scheme for surface albedo, the J75_NOAH scheme for soil thermal conductivity, and the Y08 scheme for additional damping, respectively. Furthermore, the model performance is not obviously affected by surface albedo parameterization schemes, while the scheme of soil thermal conductivity is vital to simulations of latent heat flux and soil temperature, the scheme of additional damping is crucial for simulating net radiation flux, sensible heat flux, and surface soil temperature. A set of optimal parameterization is proposed for the off-line Noah LSM at the SACOL station when the MULT scheme for surface albedo, the J75_NOAH scheme for soil thermal conductivity, and the Y08 scheme for additional damping are combined simultaneously, especially in the case of sensible heat flux and surface soil temperature simulations.

Land surface processes are vital to the performance of regional climate models in dynamic downscaling application. In this study, we investigate the sensitivity of the simulation by using the weather research and forecasting (WRF) model at 10-km resolution to the land surface schemes over Central Asia. The WRF model was run for 19 summers from 2000 to 2018 configured with four different land surface schemes including CLM4, Noah-MP, Pleim-Xiu and SSiB, hereafter referred as Exp-CLM4, Exp-Noah-MP, Exp-PX and Exp-SSiB respectively. The initial and boundary conditions for the WRF model simulations were provided by the National Centers for Environmental Prediction Final (NCEP-FNL) Operational Global Analysis data. The ERA-Interim reanalysis (ERAI), the GHCN-CAMS and the CRU gridded data were used to comprehensively evaluate the WRF simulations. Compared with the reanalysis and observational data, the WRF model can reasonably reproduce the spatial patterns of summer mean 2-m temperature, precipitation, and large- scale atmospheric circulation. The simulations, however, are sensitive to the option of land surface scheme. The performance of Exp-CLM4 and Exp-SSiB are better than that of Exp-Noah-MP and Exp-PX assessed by Multivariable Integrated Evaluation (MVIE) method. To comprehensively understand the dynamic and physical mechanisms for the WRF model’s sensitivity to land surface schemes, the differences in the surface energy balance between Ave-CLM4-SSiB (the ensemble average of Exp-CLM4 and Exp-SSiB) and Ave-NoanMP-PX (the ensemble average of Exp-Noah-MP and Exp-PX) are analyzed in detail. The results demonstrate that the sensible and latent heat fluxes are respectively lower by 30.42 W·m−2 and higher by 14.86 W·m−2 in Ave-CLM4-SSiB than that in Ave-NoahMP-PX. As a result, large differences in geopotential height occur over the simulation domain. The simulated wind fields are subsequently influenced by the geostrophic adjustment process, thus the simulations of 2-m temperature, surface skin temperature and precipitation are respectively lower by about 2.08 ℃, 2.23 ℃ and 18.56 mm·month−1 in Ave-CLM4-SSiB than that in Ave-NoahMP-PX over Central Asia continent.

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