supported by National Key Research and Development Program of China(Grant No.2018YFA0606300);the NSFC(Grant No.42075163),the NSFC BSCTPES project(Grant No.41988101);the NSFC(Grant No.42205039);supported by the Jiangsu Collaborative Innovation Center for Climate Change and the National Key Scientific and Technological Infrastructure project“Earth System Science Numerical Simulator Facility”(EarthLab).
The outputs of the Chinese Academy of Sciences(CAS)Flexible Global Ocean-Atmosphere-Land System(FGOALSf3-L)model for the decadal climate prediction project(DCPP)of the Coupled Model Intercomparison Project Phase 6(CMI...
supported by the National Natural Science Foundation of China(Grant Nos.41775063 and 41975071)。
Two different initialization schemes for tropical cyclone(TC)prediction in numerical models are evaluated based on a case study of Typhoon Lekima(2019).The first is a dynamical initialization(DI)scheme where the axisy...
jointly supported by National Center for Atmospheric Research(NCAR)and Panasonic Avionics Corporation;National Natural Science Foundation of China(NSFC)under Grant No.40975068;the National Basic Research Program of China(973 Program)under Grand No.2013CB430102;Jiangsu province colleges and universities natural science major basic research projects
A relocation procedure to initialize tropical cyclones was developed to improve the representation of the initial conditions and the track forecast for Panasonic Weather Solutions Tropical Operational Forecasts. This ...
This paper introduces a new approach for the initialization of ensemble numerical forecasting: Dynamic Analogue Initialization (DAI). DAI assumes that the best model state trajectories for the past provide the init...
the Ministry of Science and Technology of China for the National High-tech R&D Program(863 Program:Grant No.2010AA012304);the National Basic Research Program of China(973 Program:Grant No.2011CB309704)
The Flexible Global Ocean-Atmosphere-Land System model, Grid-point Version 2 (FGOALS-g2) for decadal predictions, is evaluated preliminarily, based on sets of ensemble 10-year hindcasts that it has produced. The res...
supported by the Korea Meteorological Administration Research and Development Program under Grant CATER 2006–2303 and by the Brain Korea 21 Project in 2007
A heavy rainfall case related to Mesoscale Convective Systems (MCSs) over the Korean Peninsula was selected to investigate the impact of radar data assimilation on a heavy rainfall forecast. The Weather Research and...
supported jointly by the National Natural Science Foundation of China under Grant 40125014,40145022;the Chinese Academy of Sciences under Grant KZCX2-203.
A prediction system is employed to investigate the potential use of a soil moisture initialization scheme in seasonal precipitation prediction through a case study of severe floods in 1998. The results show that drivi...
The MM5 and its four dimensional variational data assimilation (4D-Var) system are used in this paper. Based on the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) re...
This research was supported Jointly by the Chinese Academy of Sciences key program The Eurasiamid-and-high latitude atmospheri
Studies on the seasonal to extraseasonal climate prediction at the Institute of Atmospheric Physics (IAP) in recent years were reviewed. The first short-term climate prediction experiment was carried out based on the ...
Key Program of Chinese Academy of Sciences KZCXZ-203;NationalKey Program for Developing Basic Sciences G1999032801;Nationa
Predictions of ENSO are described by using a coupled atmosphere-ocean general circulation model. The initial conditions are created by forcing the coupled system using SST anomalies in the tropical Pacific at the back...