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Xingsheng Xu's Projects

aerolan icon aerolan

cosqm/aeronet ZNSB to AOD correlations library

aod-vs-pm2.5-prediction-methods icon aod-vs-pm2.5-prediction-methods

A major challenge involving pollution detection is to measure the average PM2.5 concentration over major metropolitan areas. One useful method for predicting PM2.5 over a relatively wide range are AOD measurements. Ensemble algorithms are more effective than linear algorithms for prediction. Pandas and scikit-learn were used for data analysis.

book icon book

个人认为对技术提升很不错的书

cdr_aod icon cdr_aod

CDR - Aerosol and optical depth over land

classification-models-using-python icon classification-models-using-python

Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using Python

cmac2.0 icon cmac2.0

Repository for initial CMAC2.0 VAP work for ARM

combin_micaps icon combin_micaps

将风廓线雷达中的数据进行整合,写入micaps4文件中,进行显示和服务

comparerttovcrtm icon comparerttovcrtm

scripts comparing RTTOV and CRTM using the standard atmosphere profiles (typical modtran-like 1-6, Tropical, Midalt summer, us std, etc)) provided in RTTOV's test data.

crtm_tutorial icon crtm_tutorial

A collection of CRTM tutorial cases for the CRTM User/Developer Workshop.

dealias icon dealias

Radar Doppler velocity dealiasing technique using 3D continuity.

filterpy icon filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

frst_python icon frst_python

Fast radial symmetry transform implemented in pure python.

fv3gfs icon fv3gfs

The public home of NOAA EMC's FV3GFS Modeling System.

fy4_giirs_crtm icon fy4_giirs_crtm

通过CRTM模拟FY4GIIRS的MW波段的radiance, 并于观测数据进行比较

glint icon glint

Calculate glint angle for satellite

goes16-aod icon goes16-aod

Repositório de arquivos para o projeto GOES-16

goes2go icon goes2go

Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.

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