wpsze

Obs | China weather observations | q-weather.info

Obs | China weather observations | q-weather.info

數據下載 (方法) 僅供學術研究及教學用途 q-weather.info https://q-weather.info/ https://q-weather.info/about/ 本站目标是尽可能完整地搜集、展示并记录气象与空气质量数据。本站的数据均来自于公开的数据源 https://q-weather.info/about/ 注意： 1.本站秉持免费开放的价值观，游客即可使用本站绝大部分

2026-01-27

NWP

#MPAS #WRF #NWP #HKO #obs #GBA #China

Snowfall/Snow depth | 降雪量/降雪深度

Snowfall/Snow depth | 降雪量/降雪深度

MPAS | WRF | precipitation calculation 中国气象局降雪量与降雪深度 | 中国气象报社降雪的形成条件及等级划分 | 中国气象报社科普 | 降雪量≠积雪深度？降雪量与降雪深度是两个不同的概念，降雪量并不是指积雪深度。在气象观测上，降水量是指某一时段内的未经蒸发、渗透、流失的降水，在水平面上积累的深度，以毫米为单位，取一位小数。如果是降雪量，则

2026-01-23

Meteorology

#WRF #NWP #MAPS #Snowfall #Snow depth

NWP | ERA5 hourly time-series data

NWP | ERA5 hourly time-series data

ERA5 dataset ERA5 ERA5T expver dimension issue ERA5 dataset (2) contains invariant variables MPAS | ERA5| Update SST and sea-ice fraction NWP | ERA5 | GRIB1 and GRIB2 WRF | ERA5 IC | SMOIS issue E

2026-01-22

NWP

#MPAS #WRF #NWP #ERA5 #time-series

NWP | ADEckS | Tropical Cyclone Track Data | UCAR

NWP | ADEckS | Tropical Cyclone Track Data | UCAR

Tropical Cyclone Guidance Project (TCGP) | NCAR Research Applications Laboratory (RAL) the Tropical Cyclone Guidance Project (TCGP) | NCAR Research Applications Laboratory (RAL) Automated Tropical

2026-01-20

NWP

#MPAS #WRF #NWP #GFS #FNL #ERA5 #IFS #CMA #TIGGE #TC #typhoon #tracker #UCAR #adecks_open

NWP | ICON

ICON https://www.icon-model.org/ ICOsahedral Nonhydrostatic model (ICON) is a flexible, scalable, high-performance modelling framework for weather, climate and environmental prediction that provides

2026-01-19

NWP

#MPAS #WRF #NWP #GFS #FNL #ERA5 #IFS #CMA #ICON

ML | Optimizer | SGD, Momentum, AdaGrad, RMSProp, Adam Optimizer

ML | Optimizer | SGD, Momentum, AdaGrad, RMSProp, Adam Optimizer

Optimizer In machine learning, an Optimizer is the "engine" that minimizes the loss function. It updates the weights and biases of a model based on the gradients calculated during backpropagation. The

2026-01-14

ML

#AI #ML #pytorch #Optimizer #SGD #Momentum #AdaGrad #RMSProp #Adam

GeoJSON | To reduce the file size of GeoJSON files

GeoJSON | To reduce the file size of GeoJSON files

To reduce the file size of your data.geojson by skipping points (decimation), you can use the following Python script. This script iterates through the geometries (LineStrings, Polygons, etc.) and sam

2026-01-13

GeoJSON

#NWP #GeoJSON

CFD | Euler equations | zero viscosity | Turbulence

CFD | Euler equations | zero viscosity | Turbulence

Non-Linear Term In Computational Fluid Dynamics (CFD), the transition from the base Navier-Stokes equations to turbulence modeling involves understanding how nonlinearity behaves and how averaging cre

2026-01-06

CFD

#OpenFOAM #Euler equations #viscosity #Turbulence

CFD | OpenFOAM | gcc : error: unrecognized command line option ‘--showme:link’; did you mean ‘--force-link’?

CFD | OpenFOAM | gcc : error: unrecognized command line option ‘--showme:link’; did you mean ‘--force-link’?

Error Error 1 gcc: error: unrecognized command line option ‘--showme:link’; did you mean ‘--force-link’? The error message you are seeing, gcc: error: unrecognized command line option ‘--showme:link

2026-01-02

CFD

#HPC #OpenFOAM #MPI #error #intelmpi #openmpi

CFD | Turbulence model activation (use or not use)

CFD | Turbulence model activation (use or not use)

Question: When should we exclude the turbulence model? In Computational Fluid Dynamics (CFD), the decision to omit a turbulence model is usually driven by the physics of the flow or the resolution of

2025-12-19

CFD

#HPC #OpenFOAM #turbulence model #SST k-omega