Thaileng Thol || M.eng (Water Resource Engineer)

A water resources engineer with international project experience in public and private sector water resources management projects, specializing in issues relating to climate change adaptation, flood early warning, basin development planning. Recently, fascinated about how Artificial Intelligent (AI)/ Deep Learning works, and exploring the weather forecast and climate simulation base on numerical modelling and machine learning approach.

Research Interests:

Catchment & Urban Hydrology
Data Science | Artificial Intelligent
Weather Research Forecasting – WRF
Climate Change Impact Assessment

Thaileng Thol's Projects

cmip6_preprocessing

Analysis ready CMIP6 data in python the easy way with pangeo tools.

flow-forecast

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

neuralhydrology

Python library to train neural networks with a strong focus on hydrological applications.

pyaez

PyAEZ is a python package consisted of many algorithms related to Agro-ecalogical zoning (AEZ) framework.

python-hydrology-tools

:droplet: This repository holds a list of open source Python packages interesting to Hydrologists

thailengthol

My Personal repository

vicres

Representation and operation of reservoirs in the Variable Infiltration Capacity (VIC) model

wrfv4.-manunal

This page is meant to guide you through the steps of compiling WRF. It will take a beginning user through the processes of ensuring the computer environment is set up correctly, to testing the components and their compatibility with each other, then to installing WRF and WPS, and finally to some guidance for preparing to run WPS and then WRF.

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