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Hi there πŸ‘‹

  • πŸ”­ I’m currently a PhD candidate (2022~) @ Sun Yat-sen University, Zhuhai, China.
  • 🌱 My background is in hydrology, with a particular interest in multi-disciplinary hydrological fields, including the changes in hydrological processes in the context of a warming climate and enhanced human activities, the causes and consequences of hydrological extremes, and the associated effects on ecology and human systems.
  • πŸ€” I'm also enthusiastic about unraveling the causes, processes and consequences of hydrological extremes using artificial intelligence techniques.
  • πŸ“« How to reach me: my personal Email: [email protected] (or [email protected]) wechat ID: huangzq1681

Huang Zeqin's Projects

china_area icon china_area

2022εΉ΄**ε…¨ε›½5ηΊ§θ‘Œζ”ΏεŒΊεˆ’οΌˆηœγ€εΈ‚γ€εŽΏγ€ι•‡γ€ζ‘οΌ‰

climate-change-data icon climate-change-data

:earth_africa: A curated list of APIs, open data and ML/AI projects on climate change

climatehack icon climatehack

The Illinois repository for Climatehack (https://climatehack.ai/). We won 1st place!

cmaps icon cmaps

user defined colormaps in matplotlib.

cme_ncomms_2020 icon cme_ncomms_2020

Supplementary files and scripts for Nowack et al., Causal networks for climate model evaluation and constrained projections, Nature Communications (2020), https://doi.org/10.1038/s41467-020-15195-y

deepadots icon deepadots

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

dlacs icon dlacs

A library designed to implement deep learning algorisms to climate data for weather and climate prediction.

dlwp icon dlwp

Deep Learning Weather Prediction

downpy icon downpy

Codes for downscaling and error modelling of precipitation data

earthpy icon earthpy

A package built to support working with spatial data using open source python

eds220_fall2021 icon eds220_fall2021

Course materials for EDS 220 "Remote Sensing and Environmental Data", at the University of California, Santa Barbara, offered in Fall 2021

extremeevents icon extremeevents

Using ANN's to reveal changes in extreme events and internal variability in climate models

flash_drought icon flash_drought

Example python scripts to detect flash drought events from gridded soil moisture data

flood_hazard_map_comparison_2019 icon flood_hazard_map_comparison_2019

This repository contains the scripts used for performing the analyze in the publication: Global flood hazard map and exposed GDP comparison: a China case study

flow-forecast icon flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

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