By using conventional observational data, CMA Tropical Cyclone Best Track Dataset from 1949 to 2015, real time track by CMA, Japan Meteorological Agency (JMA) and Joint Typhoon Warning Center (JTWC) , monthly NOAA optimum interpolation sea surface temperature data (1°×1°), NCEP FNL reanalysis data (1°×1°) and NCEP realtime global sea surface temperature data (0.5°×0.5°), some preliminary analyses are made about the main forecasting technical difficulties and problems for operational TC forecasting and warning in 2015, such as the main activity characteristics of TCs over Western North Pacific and South China Sea, the influence of El Nio on TC activity, the real time operational positioning for Typhoon Kujira (1508), the rapid intensification forecasting of Typhoon Mujigae (1522) over coastal waters,the long time track forecasting for Typhoon Linfa (1510) and Typhoon Dujuan (1521) and some weaknesses in surface observation system. The results show that: 1) There is not an obvious active stage during 2015 TC season,which is characterized by: almost same annual formation frequency as the longtime average, fewer TCs over South China Sea, more easterly TC origins, stronger intensity, abnormally more super typhoons, fewer landing number and lower landing frequency and so on. 2) The main TC activity characteristics in 2015 are closely related to the strong El Nio event, and its physical mechanism is still to be further studied. 3) The accuracy of real-time operational positioning of Typhoon Kujira (1508) directly affected its landing forecasting.The application of multi-source observation data and the standardized operational TC positioning flow is usefull for improving TC positioning and track forecasting. 4) The rapid intensification and long-term track forecasting are still major technical bottlenecks in operational TC forecasting and warning, and the development of TC high-resolution sea-air-wave coupling model, ensemble forecast, dynamic statistical model and synoptic physics concept model will be the main technical approach in future. 5) Current surface observation network in China does not have the ability to monitor extreme TCs, and it could be improved by deploying more advanced heavy-duty mechanical strong wind anemograph in key coastal areas (including islands) affected by TCs.