[HTML][HTML] ECMWF, 日本高分辨率模式降水预报能力的对比分析
张宏芳， 潘留杰， 杨新 - 气象, 2014 - qxqk.nmc.cn
利用2012 年4 月1 日至2013 年3 月31 日ECMWF, 日本高分辨率模式降水预报资料, 全国2419
个台站逐6 h 降水量观测, CMORPH (NOAA Climate Prediction Center Morphing Method) …
个台站逐6 h 降水量观测, CMORPH (NOAA Climate Prediction Center Morphing Method) …
Gridded daily Indian monsoon rainfall for 14 seasons: Merged TRMM and IMD gauge analyzed values
Indian monsoon is an important component of earth's climate system. Daily rainfall data for
longer period is vital to study components and processes related to Indian monsoon. Daily …
longer period is vital to study components and processes related to Indian monsoon. Daily …
Performance of a very high-resolution global forecast system model (GFS T1534) at 12.5 km over the Indian region during the 2016–2017 monsoon seasons
A global forecast system model at a horizontal resolution of T1534 (∼ 12.5\, km∼ 12.5 km)
has been evaluated for the monsoon seasons of 2016 and 2017 over the Indian region. It is …
has been evaluated for the monsoon seasons of 2016 and 2017 over the Indian region. It is …
[HTML][HTML] Predictions of 2010's tropical cyclones using the GFS and ensemble-based data assimilation methods
Homogeneous comparison of global average absolute track forecast errors and average
spread between the experimental GFS/EnKF and (a) the NCEP operational ensemble …
spread between the experimental GFS/EnKF and (a) the NCEP operational ensemble …
Physical processes controlling the diurnal cycle of convective storms in the Western Ghats
UVM Krishna, SK Das, SM Deshpande… - Scientific Reports, 2021 - nature.com
Diurnal variation of convective storms (CSs) during monsoon season and associated
physical mechanisms are significantly important for accurate forecast of short-time and …
physical mechanisms are significantly important for accurate forecast of short-time and …
Ensemble hydrological prediction‐based real‐time optimization of a multiobjective reservoir during flood season in a semiarid basin with global numerical weather …
F Wang, L Wang, H Zhou… - Water Resources …, 2012 - Wiley Online Library
Future streamflow uncertainties hinder reservoir real‐time operation, but the ensemble
prediction technique is effective for reducing the uncertainties. This study aims to combine …
prediction technique is effective for reducing the uncertainties. This study aims to combine …
基于邻域法的高分辨率模式降水的预报能力分析
潘留杰， 张宏芳， 陈小婷， 王建鹏， 陈法敬 - 热带气象学报, 2015 - rdqxxb.itmm.org.cn
利用2011—2013 年ECMWF, 日本, T639 高分辨率模式降水预报数据, CMORPH (NOAA
Climate Prediction Center Morphing Method) 卫星与自动站逐小时降水融合资料 …
Climate Prediction Center Morphing Method) 卫星与自动站逐小时降水融合资料 …
[HTML][HTML] 多区域高分辨率模式强降水预报检验分析
刘静， 任川， 赵梓淇， 陈传雷， 王瀛， 才奎志 - 气象, 2022 - qxqk.nmc.cn
利用气象大数据云平台中逐小时降水资料, 基于目标对象检验法和邻域法, 评估2019—2020
年辽宁主汛期降水过程中中国气象局上海数值预报模式系统(CMA-SH9) …
年辽宁主汛期降水过程中中国气象局上海数值预报模式系统(CMA-SH9) …
Multi‐model ensemble (MME) prediction of rainfall using neural networks during monsoon season in India
A Kumar, AK Mitra, AK Bohra… - Meteorological …, 2012 - Wiley Online Library
The prediction of Asian summer monsoon rainfall on various space and time scales is still a
difficult task. Compared to the mid‐latitudes, proportional improvement in the skill in …
difficult task. Compared to the mid‐latitudes, proportional improvement in the skill in …
基于MODE 方法的日本细网格模式降水预报的诊断分析
薛春芳， 潘留杰 - 2016 - ir.lzu.edu.cn
摘要利用CMORPH 卫星与中国30000 余个自动站逐时降水融合资料, 基于面向对象模式诊断
分析MODE 方法研究了降水对象的客观表现以及日本细网格模式对2012-2013 年中国34 …
分析MODE 方法研究了降水对象的客观表现以及日本细网格模式对2012-2013 年中国34 …