Pinned Repositories
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FSOI
Forecast Sensitivity to Observations and Observation Impact
GENBE_2.0
Repository for the new stand-alone GEN_BE capability for WRFDA.
Hello_world
just a test
hrldas
HRLDAS (High Resolution Land Data Assimilation System)
PyCINRAD
Decode CINRAD (China New Generation Weather Radar) data and visualize.
read_cinrad
satpy
Python package for earth-observing satellite data processing
test
WRFDA_gmdd
for GMDD paper
Lideqin's Repositories
Lideqin/FSOI
Forecast Sensitivity to Observations and Observation Impact
Lideqin/GENBE_2.0
Repository for the new stand-alone GEN_BE capability for WRFDA.
Lideqin/WRFDA_gmdd
for GMDD paper
Lideqin/-
Lideqin/Hello_world
just a test
Lideqin/hrldas
HRLDAS (High Resolution Land Data Assimilation System)
Lideqin/PyCINRAD
Decode CINRAD (China New Generation Weather Radar) data and visualize.
Lideqin/read_cinrad
Lideqin/satpy
Python package for earth-observing satellite data processing
Lideqin/test
Lideqin/usefull-ncl-scrp
some ncl scripts to draw NWP model
Lideqin/Weather_Recognition_System
Convolutional neural network to determine the current weather based on an image outdoors
Lideqin/wind-energy-forecasting
Lideqin/Wind-Energy-Prediction-using-LSTM
Time Series Analysis using LSTM for Wind Energy Prediction.
Lideqin/wind-power-forecasting-challenge
Wind Power forecasting for the day-ahead energy market - Data Challenge
Lideqin/Wind-Turbine-Power-Curve-Estimation
In this project, I have employed various regression techniques to estimate the Power curve of an on-shore Wind turbine. Nonlinear trees based ensemble regression methods perform best as true power curve is nonlinear. I have implemented and optimized XGBoost using GridSearchCV that yields lowest Test RMSE-6.404.
Lideqin/WRF
The official repository for the Weather Research and Forecasting (WRF) model
Lideqin/WRF-offi