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Name: Mohsen Tahmasebi Nasab

Type: User

Bio: Dr. Mohsen Tahmasebi Nasab is a water resources engineer at AECOM and a researcher who has served as a civil engineering professor at the Un

Blog: https://www.hydromohsen.com/

About Mohsen

Mohsen is an assistant professor in the Department of Civil Engineering at the University of St. Thomas. His research projects deal with modeling and analyzing hydrologic processes. Particularly, the primary objectives of his research are (1) to improve the understanding of macro-scale hydrologic processes in cold-climate regions, and (2) to improve macro-scale representation and modeling of depression-dominated areas in hydrologic models. To achieve these objectives, he develops macro-scale hydrologic models.

Alongside academic activities, he spends his time hiking and volunteering in community organizations. If you are curious about Dr. Tahmasebi Nasab's interests, contact him by email, or phone call!

Mohsen Tahmasebi Nasab's Projects

cdo-api-py

python interface to cdo api

climate-data-101

deeplearningfortimeseriesforecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

earth-analytics-python-env

A conda environment and docker container to support using earth and environmental data in Python.

earthlab.github.io

A site dedicated to tutorials, course and other learning materials and resources developed by the Earth Lab team

engr368

hydpy

A framework for the development and application of hydrological models based on Python

hydropy

Analysis of hydrological oriented time series.

hydrostats

Tools for use in comparison studies, specifically for use in the field of hydrology

lhmp

Lumped Hydrological Models Playgroud

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

mohsennasab

normalized-hydrograph

python-hydrology-tools

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

scs-curve-number-generator-arcgis-pro-toolbox

Generates SCS Curve Numbers based on land use and soil data.

soil-temperature-simulation

Input data repo for the manuscript "Daily Soil Temperature Simulation Across Different Depths: A Long Short-Term Memory Approach"

soil-temperature-variations

Data for the soil temperature analysis

sphy

Spatial Processes in HYdrology (SPHY) model

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