dorn1984 Goto Github PK

deepbl

codes for published work "Deep Learning Parameterization of Tropical Cyclone Boundary Layer"

downscale-sst

Downscaling Oceanographic Satellite Data with Convolutional Neural Networks

fuxi

Penetration Testing Platform

geostrophic

Computes the geostrophic (and ageostrophic) wind velocity components (and magnitude) using WRF or atmospheric Reanalysis output. Reanalysis part needs to be checked.

graphcast-predict

Making predictions using Graphcast while using data from CDS and pysolar.

hello-world

hello

jgr-2019jd030714r

The data and results

loft

LOFT - Lagrangian Offline Flow Trajectories

multidim_conv

PyTorch code for the Paper "Wind speed prediction using multidimensional convolutional neuralnetworks"

notebook-examples

Example notebooks showing how to work with ECMWF services and data

pangu-weather

An official implementation of Pangu-Weather

pangu-weather-readytogo

盘古天气大模型全流程演示（ 输入数据准备、预测及结果可视化）Unofficial demonstration of Huawei's Pangu Weather Model. Implementing the entire process of data preparation for input, forecasting conversion of forecasted results, and visualization.

pycinrad

Decode CINRAD (China New Generation Weather Radar) data and visualize.

real-esrgan

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

smaat-unet

PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"

tc-les-data

u-dales

uDALES: large-eddy-simulation software for urban flow, dispersion and microclimate modelling

wrf-momentum-and-temperature-budget-variables

This repository contains all the files necessary to modify the WRF model, in order to output the momentum terms and temperature budget.

wrf-sadles

A Simple Actuator Disk for Large Eddy Simulation

wrf-wvts

Weather Research and Forecasting (WRF) model with moisture tracers

wrf_les_diagnostics

modification of the WRF model source code (version 4.1) to derive turbulence and mean flow diagnostics

wrflux

Extract and average fluxes from advection and SGS diffusion modules in WRF

wrfv3.8.1_inline_budget_retrieval

This code extracts budget terms for the dry-air-mass-coupled momentum, U, V, W and potential temperature. It has been tested for the WRF(v3.8.1) idealized test cases, em_squall2d_y and em_b_wave. To use the code, please cite "Chen, T.-C., M.-K. Yau and D. J. Kirshbaum, 2020: Towards the closure of momentum budget analysesin the WRF (v3.8.1) model, Geosci. Model Dev., 13, 1737-1761."

xpia

Code to analyze WRF and WRF-LES simulations of XPIA