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

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
#WRF #MPAS #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
NWP | AI model output as input (IC/LBC) of WRF/MPAS

NWP | AI model output as input (IC/LBC) of WRF/MPAS

NWP | AI for Numerical Weather Prediction (NWP) NWP | ECMWF | IFS | Open data Introduction As the field of Numerical Weather Prediction (NWP) rapidly evolves, the integration of AI-driven forecasti
2025-12-11
NWP
#WRF #MPAS #NWP #ECMWF #AI #ML #PanguWeather
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