supported by the Jianghuai Meteorological Joint Project of Anhui Natural Science Foundation (Grant No.2208085UQ12)。
Warm-sector rainstorms are highly localized events, with weather systems and triggering mechanisms are not obvious,leading to limited forecasting capabilities in numerical models. Based on the ensemble Kalman filter(P...
supported by the National Natural Science Foundation of China(Grant Nos.41405050,91437104&41461164006);the Public Welfare Scientific Research Projects in Meteorology(Grant No.GYHY201406013);the National Basic Research Program of China(Grant No.2014CB441402)
This study examines the effectiveness of an ensemble Kalman filter based on the weather research and forecasting model to assimilate Doppler-radar radial-velocity observations for convection-permitting prediction of c...
sponsored by the Special Fund for Meteorological Research in the Public Interest from the Ministry of Science and Technology of China(Grant No.GYHY201306004);the National Key Basic Research Program of China(Grant No.2013CB430104);the National Natural Science Foundation of China(Grant Nos.41461164006,41425018 & 41375048)
This study explores for the first time the impact of assimilating radial velocity(Vr)observations from a single or multiple Taiwan's coastal radars on tropical cyclone(TC)forecasting after landfall in the Chinese main...
supported by National High Technology Research and Development Program of China (Grant Nos. 2007AA12Z144, 2009AA12Z129);Chinese COPES Project (Grant Nos. GYHY200706005, GYHY200806014);China Meteorological Administration New Technology Promotion Project (Grant No. CMATG2008Z04)
Soil moisture plays an important role in land-atmosphere interactions. It is an important geophysical parameter in research on climate, hydrology, agriculture, and forestry. Soil moisture has important climatic effect...
the National Natural Science Foundation of China (Grant No. 40705035);the Knowledge Innovation Project of Chinese Academy of Sciences (Grant Nos. KZCX2-YW-217 and KZCX2-YW-126-2);the National Basic Research Program of China (Grant No.2005CB321704)
The Ensemble Kalman Filter (EnKF) is well known and widely used in land data assimilation for its high precision and simple operation. The land surface models used as the forecast operator in a land data assimilation ...