NWP | CMA | CMA_GFS real time data
中國氣象局（China Meteorological Administration，縮寫：CMA），是中華人民共和國國務院負責氣象行政管理與科學研究的副部級直屬事業單位。 CMA-GFS (原名为GRAPES-GFS) 作为我国自主研发的新一代全球数值预报模式，从初始场、变分同化、模式框架等核心技术均实现了自主化。CMA-GFS全球模式从2001年开始组织数值预报团队启动研发，2016年实现业务化
35 posts in total
NWP | DA | Kalman Filter
Optimal Interpolation (OI), 3D-Variational Assimilation (3DVar), and the Kalman Filter (KF) share foundational mathematical objectives but differ in implementation and error covariance treatment. Belo
NWP | DA | Optimal weight matrix W
Data assimilation (DA) NWP | DA | Kalman Filter NWP | DA | 4D-Var To derive the optimal weight matrix $ $in DA, we follow a minimum variance approach to combine background (model) and observation d
NWP | DA | 4D-Var
Data assimilation (DA) 4D-Var for Dummies | 2009 Linearised physics: the heart of ECMWF’s 4D-Var | 2023 WRF 多重解析度四維變分資料同化方法之研究 | 劉志權 | 2019 25 years of 4D-Var: how machine learning can improve the
NWP | Spectral Method
Spectral methods Spectral methods in numerical weather prediction (NWP) are advanced computational techniques that use global basis functions to solve the atmospheric governing equations with high acc
NWP | AI | NeuralGCM
NWP | AI for Numerical Weather Prediction (NWP) NeuralGCM is trained through a sophisticated process that combines differentiable physical modeling with machine learning optimization techniques. He
NWP | Pressure Altitude Calculator
Pressure Altitude Calculator Pressure Altitude Pressure Altitude Calculator | NOAA What is the formula for the pressure altitude script? From the user, a station pressure (\(P_{sta}\)) is given. To
NWP | PGW | Order of Pressure levels of GRIB file
NWP | Pseudo-Global-Warming (PGW) hands-on | ERA5 | GFS NWP | ERA5 | GRIB1 and GRIB2 In GRIB files, the order of pressure levels is important because ma
NWP | ERA5 | GRIB1 and GRIB2
WRF | GRIB1, GRIB2, NetCDF ERA5 CDS upgrade (2024 Sep) GRIB is a WMO format for gridded data. GRIB is used by the operational meteorological centers for
NWP | PGW | To prepare the ERA5 GRIB file
NWP | Pseudo-Global-Warming (PGW) hands-on | ERA5 | GFS NWP | ERA5 | GRIB1 and GRIB2 To prepare the ERA5 GRIB file from the modified era5_with_signal.nc
NWP | Pseudo-Global-Warming (PGW) hands-on | ERA5 | GFS
Introduction Keywords: The Pseudo-Global-Warming (PGW) approach CMIP6 how to convert ERA5 GRIB files to NetCDF format GRIB files are the file format used at ECMWF. GRIB is a WMO standard and consists
NWP | Clear-sky vs. All-sky Approaches in NWP and DA
Clear-sky vs. All-sky Approaches in NWP and DA In the field of Numerical Weather Prediction (NWP) and Data Assimilation (DA), the clear-sky and all-sky approaches represent two different methodologies
NWP | Bias Correction
應用「模式輸出統計」校正數碼氣溫預報 | HKO | 2011 多元線性回歸及卡爾曼濾波 出現次數最多的最佳因子，首三位為2米溫度、925hPa經向風及850hPa溫度 應用「模式輸出統計」校正相對濕度及風的數碼預報 | HKO | 2012 把2010年9月至2011年8月的數據分為四季，分別找出不同統計模型在四季及全年(即2010年9月至2011年8月)的最佳因子組合。 不同季節的比較
NWP | Non-hydrostatic numerical models for the atmosphere
A review of non-hydrostatic numerical models for the atmosphere Xu, L., Raman, S., & Madala, R. V. (1992, August). A review of non-hydrostatic numerical models for the atmosphere. In
NWP | ECMWF | IFS | Open data
Open Dataset ECMWF to achieve fully open data status in 2025 | 17 March 2025 ECMWF is bringing forward the full transition to open data by an entire year, to 1 October 2025, marking a significant mi
NWP | ECMWF
The organisation was established in 1975 and now employs around 500 staff from more than 30 countries. ECMWF is one of the six members of the Co-ordinated Organisations, which also include the North A
NWP | MPAS | Cold Start/Spin up/Warm Start
Cold Start/Warm Start NCAR NCAR | Real-Time Four-Dimensional Data Assimilation (RT-FDDA) Simulation is initialized using a 'cold start' methodology. This means that they start with no c
NWP | AI for Numerical Weather Prediction (NWP)
Introduction to AI in Numerical Weather Prediction Artificial Intelligence (AI) is transforming the field of Numerical Weather Prediction (NWP), significantly enhancing the accuracy and efficiency of
