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cikm_analyticup_2017

CIKM AnalytiCup 2017 is an open competition that is sponsored by Shenzhen Meteorological Bureau, Alibaba Group and CIKM2017. Our team got the third place in the first phrase. And in the second phrase we got the fourth place.

forest-fire-area-prediction

This project aims to predict the burned area of forest fires in the northeast region of Portugal, using meteorological and soil moisture data.

get-gfs

Downloading meteorological information from GFS

icepolcka

PhD project software repository. Polarimetric radar observations are compared with WRF model output using varying microphysics schemes.

improver

IMPROVER is a library of algorithms for meteorological post-processing.

nmc_met_io

提供对MICAPS文件, 卫星云图, 天气雷达等数据的读写, 并访问CIMISS和MICAPS CASSANDRA数据库文件等.

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

precipitation-nowcasting

pytorch implemention of trajGRU.

pyxz

Python Scripts in My Meteorological Research Life (2020 - )

svr--decision-trees--random-forests--deepneuralnets--to-predict-forest-fires

This repo is an implementation of the research paper "A Data Mining Approach to Predict Forest Fires using Meteorological Data." by P. Cortez and A. Morais. The algorithms used are : SVR, Decision Trees, Random Forests, Simple Deep Neural Network ( Keras with Tensorflow backend)

vapor

VAPOR is the Visualization and Analysis Platform for Ocean, Atmosphere, and Solar Researchers

wildfire-forecasting

Forecasting wildfire danger using deep learning.

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