naa a22 4500 510754244 CHVBK 20180411083116.0 cr unu---uuuuu 180411e20131001xx s 000 0 eng 10.1007/s13131-013-0364-7 doi (NATIONALLICENCE)springer-10.1007/s13131-013-0364-7 The error source analysis of oil spill transport modeling: a case study [Elektronische Daten] [Yan Li, Jiang Zhu, Hui Wang, Xiaodi Kuang] Numerical modeling is an important tool to study and predict the transport of oil spills. However, the accuracy of numerical models is not always good enough to provide reliable information for oil spill transport. It is necessary to analyze and identify major error sources for the models. A case study was conducted to analyze error sources of a three-dimensional oil spill model that was used operationally for oil spill forecasting in the National Marine Environmental Forecasting Center (NMEFC), the State Oceanic Administration, China. On June 4, 2011, oil from sea bed spilled into seawater in Penglai 19-3 region, the largest offshore oil field of China, and polluted an area of thousands of square kilometers in the Bohai Sea. Satellite remote sensing images were collected to locate oil slicks. By performing a series of model sensitivity experiments with different wind and current forcings and comparing the model results with the satellite images, it was identified that the major errors of the long-term simulation for oil spill transport were from the wind fields, and the wind-induced surface currents. An inverse model was developed to estimate the temporal variability of emission intensity at the oil spill source, which revealed the importance of the accuracy in oil spill source emission time function. The Chinese Society of Oceanography and Springer-Verlag Berlin Heidelberg, 2013 error source nationallicence oil spill nationallicence lagrangian random walk nationallicence Li Yan University of the Chinese Academy of Sciences, 100049, Beijing, China aut Zhu Jiang Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029, Beijing, China aut Wang Hui Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecasting Center, State Oceanic Administration, 100081, Beijing, China aut Kuang Xiaodi Marine Environmental Forecasting Division, National Marine Environmental Forecasting Center, State Oceanic Administration, 100081, Beijing, China aut Acta Oceanologica Sinica Springer Berlin Heidelberg 32/10(2013-10-01), 41-47 0253-505X 32:10<41 2013 32 13131 https://doi.org/10.1007/s13131-013-0364-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s13131-013-0364-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Li Yan University of the Chinese Academy of Sciences, 100049, Beijing, China aut NATIONALLICENCE 700 1- Zhu Jiang Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029, Beijing, China aut NATIONALLICENCE 700 1- Wang Hui Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecasting Center, State Oceanic Administration, 100081, Beijing, China aut NATIONALLICENCE 700 1- Kuang Xiaodi Marine Environmental Forecasting Division, National Marine Environmental Forecasting Center, State Oceanic Administration, 100081, Beijing, China aut NATIONALLICENCE 773 0- Acta Oceanologica Sinica Springer Berlin Heidelberg 32/10(2013-10-01), 41-47 0253-505X 32:10<41 2013 32 13131 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer