National Marine Environment Forecast Center

Beijing, China

National Marine Environment Forecast Center

Beijing, China
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Wang H.,National Marine Environment Forecast Center
Natural Hazards | Year: 2016

Using an ADCIRC model with 26 coastal sea walls and assuming that not all coastal sea walls are damaged during a storm surge, we simulated the county of Yuhuan’s maximum possible inundation depth and performed a hazard assessment. Additionally, we assessed the vulnerability of Yuhuan County based on land use. Then, based on these assessments, we evaluated the overall storm surge risk for Yuhuan County. The results show that Yuhuan County can be divided into three areas. The first area includes the town of Shamen, the Damaiyu sub-district, etc., and is occupied by people and typically an active area. Although the hazard grade of a part of this area is not high, its risk grade is significant, and most areas belong to the extremely high-risk grade. The second area consists of the sea walls of Jiaomen, Puzhu, Xiaopuzhu-Xitan, Taiping, etc., and includes bare lands, farmlands, shoals, small villages and storage areas. Although the hazard grade for this area is extremely high hazard or high hazard, its risk grade is moderate risk. The third area includes the remaining area in Yuhuan County, where there is no submerged area; this area includes low-lying areas but also has two layers of sea walls. In this area, the surroundings of Xuanmen Bay are only partially used for aquaculture. © 2016 Springer Science+Business Media Dordrecht


Lee X.,Nanjing University of Information Science and Technology | Lee X.,Yale University | Gao Z.,Nanjing University of Information Science and Technology | Zhang C.,Nanjing University of Information Science and Technology | And 15 more authors.
Bulletin of the American Meteorological Society | Year: 2015

A symposium on boundary layer meteorology was held at Nanjing University of Information Science and Technology in Nanjing, China, in October 2014, with the sponsorship of the Natural Science Foundation of China (NSFC). Its goal was to map a vision for China's research program in this field. The 110 participants of this 2-day event were grouped into seven thematic areas and were charged with the task of prioritizing research directions in each area. The symposium aimed to bring the community's research efforts into sharper focus through these efforts.


Qin Y.,National Marine Environment Forecast Center | Qin Y.,Key Laboratory of Research on Marine Hazards Forecasting | Gong J.,Center for Numerical Weather Prediction | Li Z.,National Meteorological Center | Sheng R.,Weather Modification Office of People's Government of Shandong
Journal of Meteorological Research | Year: 2014

The effectiveness of using an Ensemble Square Root Filter (EnSRF) to assimilate real Doppler radar observations on convective scale is investigated by applying the technique to a case of squall line on 12 July 2005 in midwest Shandong Province using the Weather Research and Forecasting (WRF) model. The experimental results show that: (1) The EnSRF system has the potential to initiate a squall line accurately by assimilation of real Doppler radar data. The convective-scale information has been added into the WRF model through radar data assimilation and thus the analyzed fields are improved noticeably. The model spin-up time has been shortened, and the precipitation forecast is improved accordingly. (2) Compared with the control run, the deterministic forecast initiated with the ensemble mean analysis of EnSRF produces more accurate prediction of microphysical fields. The predicted wind and thermal fields are reasonable and in accordance with the characteristics of convective storms. (3) The propagation direction of the squall line from the ensemble mean analysis is consistent with that of the observation, but the propagation speed is larger than the observed. The effective forecast period for this squall line is about 5–6 h, probably because of the nonlinear development of the convective storm. © The Chinese Meteorological Society and Springer-Verlag Berlin Heidelberg 2014.


Ji S.,Dalian University of Technology | Li H.,National Marine Environment Forecast Center | Wang A.,Dalian University of Technology | Yue Q.,Dalian University of Technology
Proceedings of the International Conference on Port and Ocean Engineering under Arctic Conditions, POAC | Year: 2011

In this study, digital image techniques are adopted to process the sea ice parameters based on the dynamic characteristics and distribution conditions of sea ice in the Bohai Sea. A precise algorithm and effective software system are developed to determine the ice thickness, ice velocity and ice concentration, respectively. In the winter of 2009-2010, the developed sea ice digital image collection and processing system was utilized to monitor the ice parameters in the JZ20-2 oil-gas field of the Liaodong Bay. It shows that the developed system has the advantages of convenient operation, high accuracy and reliability. Copyright © (2011) by Port and Ocean Engineering under Arctic Conditions (POAC 2011).


Ji S.,Dalian University of Technology | Wang A.,Dalian University of Technology | Li B.,National Marine Environment Forecast Center | Liu Y.,National Marine Environment Forecast Center | Li H.,National Marine Environment Forecast Center
Proceedings of the International Conference on Port and Ocean Engineering under Arctic Conditions, POAC | Year: 2011

Considering the non-continuous characteristics of sea ice at various scales, a modified discrete element model (DEM) was developed for sea ice dynamics based on granular material rheology. In this modified DEM, a soft sea ice particle is introduced with the ability of self-adjusting the particle size. Each ice particle is treated as an assembly of ice floes, and its concentration and thickness is adapted with the size change of ice particle under the mass conservation. The contact force among ice particles is calculated using a viscous-elastic model, while the maximum shear force is governed by the Mohr-Coulomb friction law. With this modified DEM, the ice flow dynamics in a channel are simulated with various widths under the drag of wind and current, the concentrations and velocities of ice particles are obtained, and reasonable dynamic process is analyzed. Moreover, the sea ice dynamic process in a vortex wind field is simulated to compare with the simulated results from particle-in-cell (PIC) method. With the consideration of the influence of thermodynamics, this modified DEM will be improved in the next study. Copyright © (2011) by Port and Ocean Engineering under Arctic Conditions (POAC 2011).


Li Q.,Polar Research Institute of China | Wu H.,Polar Research Institute of China | Wu H.,National Marine Environment Forecast Center | Zhang L.,Polar Research Institute of China | Zhang L.,State Oceanic Administration
Proceedings of the International Offshore and Polar Engineering Conference | Year: 2010

A high-resolution regional ice-ocean coupled model is developed for the study of the seasonal sea ice variation in the Prydz bay. The model domain encompasses Prydz Bay and with a resolution of 1/6° × l/12°. Forcing fields are computed, from 6-hourly NCEP reanalysis. Seasonal sea ice variation characteristics and typical polynyas are well reproduced. Thick ice up to 3m is piled up at the east end of the West Ice Shelf (WIS) due to westward along coast current. Sensitivity experiments show that the ocean-to-ice heat transfer parameterization has significant influence on the sea ice evolution in the melting season. Copyright © 2010 by The International Society of Offshore and Polar Engineers (ISOPE).


Liu J.,Georgia Institute of Technology | Curry J.A.,Georgia Institute of Technology | Zhang Z.,Polar Research Institute of China | Li M.,National Marine Environment Forecast Center | And 2 more authors.
International Journal of Remote Sensing | Year: 2011

Satellite-based sea surface temperature (SST) measurements in the Southern Hemisphere from the Advanced Very High Resolution Radiometer (AVHRR), Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) and Tropical Rainfall Measuring Mission Microwave Imager (TMI) are compared with in-situ SST measurements obtained from the Chinese National Antarctic Research Expeditions (CHINARE) for the period 1989-2005. Relative to the ship observations, which ranged from the tropics to the Southern Ocean, the AVHRR SST has a mean bias/root mean square error (RMSE) of -0.11°C/0.89°C (-0.04°C/0.93°C for daytime and -0.21°C/0.84°C for night-time), the AMSR-E SST has a mean bias/RMSE of 0.39°C/0.86°C (0.46°C/0.91°C for daytime and 0.32°C/0.80°C for night-time), and the TMI SST has a mean bias/RMSE of 0.63°C/1.28°C (0.57°C/1.23°C for daytime and 0.69°C/1.36°C for night-time). In the Southern Ocean, the AVHRR SST shows persistent cold biases during the daytime and night-time, while the opposite is the case for AMSR-E and TMI SSTs. Adiscussion of the dependence of the SST biases in the presence of the varying ship SST, surface wind speed and atmospheric water vapour is presented. Additionally, the consistency between microwave and infrared SST is examined to identify regimes that are associated with the observed differences. © 2011 Taylor & Francis.

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