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China Weather Radar | 中国天气雷达基数据

China Weather Radar | 中国天气雷达基数据

pycwr PyCWR简介 PyCWR 解决的是中国天气雷达基数据“格式多、年代跨度大、业务链路不一致”的现实问题。 它把 reader、体扫对象、绘图、QC、HID、风场反演、插值和标准格式导出连成一条 连贯的 Python 工作流,让你不必为每一种输入格式单独重写处理逻辑。 https://pycwr.readthedocs.io/en/latest/PyCWR_intro.html htt
2026-08-28
NWP
#WRF #MPAS #NWP #DA #Radar
MPAS | MPAS UCM | Urban Canopy Model | HKUST

MPAS | MPAS UCM | Urban Canopy Model | HKUST

MPAS | Convert LCZs into static.nc WRF | MPAS | UCM Urban canopy parameters (UCPs) WRF | MPAS | UCM and LCZs Map of Local Climate Zones (LCZs) MPAS workshop 2025 Developing and Evaluating the MPAS
2026-08-18
MPAS
#WRF #MPAS #NWP
NWP | Microphysics | Convert moisture variables q's into rainfall

NWP | Microphysics | Convert moisture variables q's into rainfall

Atmospheric models convert moisture variables (\(q_v, q_c, q_r, q_i, q_s, q_g\)) into rainfall and precipitation through microphysics parameterizations that simulate microphysical phase changes and dr
2026-07-02
NWP
#WRF #MPAS #NWP #Microphysics
MPAS | CRITICAL ERROR NaN detected in 'w' field" crash after MPASv8.0.0 | config_len_disp

MPAS | CRITICAL ERROR NaN detected in 'w' field" crash after MPASv8.0.0 | config_len_disp

config_len_disp Regarding the 'config_len_disp' option, with MPAS v8.0 it's no longer necessary to specify this length scale if you're using new meshes from the mesh download page, since these new mes
2026-06-30
MPAS
#WRF #MPAS #NWP #NaN #config_len_disp
MPAS | Joint MPAS/WRF Users Workshop 2026 | MPASv8.4.1

MPAS | Joint MPAS/WRF Users Workshop 2026 | MPASv8.4.1

Joint MPAS/WRF Users Workshop 2026 MPAS-Atmosphere: Update Data Assimilation with MPAS-JEDI: 2026 Annual update The Weather Research and Forecasting Model: 2026 Annual Update WRF development has sl
2026-06-25
MPAS
#WRF #MPAS #NWP
CFD | Urban CFD | Atmospheric Boundary Layer (ABL) simulation

CFD | Urban CFD | Atmospheric Boundary Layer (ABL) simulation

Wall function Wall functions act as a boundary condition on this first cell. Instead of resolving the complicated flow within the viscous sublayer directly, the software bridges the gap by using semi-
2026-06-24
CFD
#HPC #Urban #OpenFOAM #CFD #ABL
MPAS | MPAS-JEDI | ioda | observation | .h5

MPAS | MPAS-JEDI | ioda | observation | .h5

NWP | BUFR data | GFS - Binary Universal Form for the Representation of meteorological data MPAS | MPAS-JEDI MPAS | MPAS-JEDI V3.0.2 MPAS | MPAS-JEDI | spack-stack 1.9.3 MPAS | Joint MPAS/WRF Users W
2026-06-18
MPAS-JEDI
#MPAS #DA #MPAS-JEDI #Spack #Spack-Stack #ioda #observation #h5
NWP | Derivation of Turbulent Kinetic Energy (TKE) from YSU/SH

NWP | Derivation of Turbulent Kinetic Energy (TKE) from YSU/SH

NWP | Eddy Dissipation Rate (EDR) MPAS | Eddy dissipation rate (EDR) We developed a method to estimate the eddy dissipation rate (EDR) using the resolved wind field of the MPAS simulations. (3D fiel
2026-06-11
NWP
#WRF #MPAS #NWP #TKE #EDR #aviation #PBL #YSU #SH
Slurm | Check status, CPU load, and memory load

Slurm | Check status, CPU load, and memory load

sinfo To check node and CPU usage in Slurm, use the sinfo command combined with the --Format or --Node flags to display allocated vs. idle CPU counts and current CPU loads. Here are the most effective
2026-06-05
slurm
#WRF #HPC #NWP #slurm #sinfo
NWP | IFS | Open data as IC/LBC

NWP | IFS | Open data as IC/LBC

NWP | ECMWF | IFS | Open data NWP | Check grib files NWP | plot GFS grib files NWP | ECMWF(歐洲中期天氣預報中心)的IFS(Integrated Forecasting System)購買數據實際成本 NWP | CMA | CMA_GFS real time data Parameter datab
2026-06-04
NWP
#WRF #MPAS #WPS #ECMWF #IFS #IC/LBC
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