zejiang-unsw
Research Associate in the School of Civil and Environmental Engineering's Water Research Centre (WRC) at University of NSW
UNSWSydney, Australia
Pinned Repositories
awesome-earthobservation-code
A curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!
DA-tutorials
Course on data assimilation (DA)
droughtz
Drought modelling and prediction
NPRED
Predictor identifier: Nonparametric PREDiction
Qgen
synthesis
Synthetic data generator
WASP
WAvelet System Prediction [Jiang, Z., Sharma, A., & Johnson, F. (2020). Refining Predictor Spectral Representation Using Wavelet Theory for Improved Natural System Modeling. Water Resources Research, 56(3), e2019WR026962.]
WASP_matlab
Matlab version of WAvelet System Prediction
WQM
Wavelet-based Quantile Mapping [Jiang, Z., & Johnson, F. (2023). A New Method for Postprocessing Numerical Weather Predictions Using Quantile Mapping in the Frequency Domain. Monthly Weather Review.]
zejiang-unsw.github.io
This is Ze Jiang's personal homepage.
zejiang-unsw's Repositories
zejiang-unsw/WASP
WAvelet System Prediction [Jiang, Z., Sharma, A., & Johnson, F. (2020). Refining Predictor Spectral Representation Using Wavelet Theory for Improved Natural System Modeling. Water Resources Research, 56(3), e2019WR026962.]
zejiang-unsw/zejiang-unsw.github.io
This is Ze Jiang's personal homepage.
zejiang-unsw/synthesis
Synthetic data generator
zejiang-unsw/awesome-earthobservation-code
A curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!
zejiang-unsw/NPRED
Predictor identifier: Nonparametric PREDiction
zejiang-unsw/WASP_matlab
Matlab version of WAvelet System Prediction
zejiang-unsw/Qgen
zejiang-unsw/WQM
Wavelet-based Quantile Mapping [Jiang, Z., & Johnson, F. (2023). A New Method for Postprocessing Numerical Weather Predictions Using Quantile Mapping in the Frequency Domain. Monthly Weather Review.]
zejiang-unsw/Atlas
Repository supporting the implementation of FAIR principles in the IPCC-WGI Atlas
zejiang-unsw/bayesian-stats-with-R
Material for a workshop on Bayesian stats with R
zejiang-unsw/bomrang
Australian government Bureau of Meteorology (BOM) data client for R
zejiang-unsw/climate_indices
Climate indices for drought monitoring
zejiang-unsw/DroughtMonitor
This project contains software for calculating the Australian Combined Drought Indicator (CDI) for NACP's Drought Monitor product. The Australian CDI provides a view of general drought conditions across Australia.
zejiang-unsw/ecPoint-Calibrate
Interactive GUI (developed in Python) for calibration and conditional verification of numerical weather prediction model outputs.
zejiang-unsw/EURADCLIM-tools
EURADCLIM tools
zejiang-unsw/fiveMinuteStats
A repo of short "vignettes" illustrating statistical concepts
zejiang-unsw/gramm
Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.
zejiang-unsw/hydroEvents
zejiang-unsw/Hydrology
CRAN Hydrology Task View
zejiang-unsw/lihang-code
《统计学习方法》的代码实现
zejiang-unsw/ml_drought
Machine learning to better predict and understand drought. Moving github.com/ml-clim
zejiang-unsw/neuralhydrology
Python library to train neural networks with a strong focus on hydrological applications.
zejiang-unsw/numpy-ml
Machine learning, in numpy
zejiang-unsw/ocean-analysis
Code used for analysis and visualiation of ocean model data during my postdoc
zejiang-unsw/ppnn
post-processing experiments with neural networks
zejiang-unsw/pyClim-SDM
Statistical Downscaling for Climate Change Projections with a Graphical User Interface
zejiang-unsw/RAINLINK
Retrieval algorithm for rainfall mapping from microwave links in a cellular communication network.
zejiang-unsw/rfarm
RainFarm Python Package
zejiang-unsw/tidyverse-tweets
A Twitter bot for tweeting new tidyverse, tidymodels, and R Markdown questions on StackOverflow and the RStudio Community.
zejiang-unsw/wildfire-forecasting
Forecasting wildfire danger using deep learning.