tpcovino Goto Github PK
Name: Tim Covino
Type: User
Bio: My research focuses on the interactions between land cover and watershed process.
Location: [email protected]
Name: Tim Covino
Type: User
Bio: My research focuses on the interactions between land cover and watershed process.
Location: [email protected]
Flow analysis and hydrograph separation lab
In part A of lab 2 we will compute precipitation return intervals
Lab on using the rational and curve number methods to model streamflow
In this lab we will work on lumped hydrological models and the use of transfer functions
Module on using dataRetrieval to download USGS data
Learning module on using dataRetrieval to obtain USGS data
This module focuses on monte carlo sampling and sensitivity analysis
Module on snowmelt modeling
Module on gridded data retrieval
Module on processing DEMs in R
Geospatial hydrology in R.
Downloading DEMs from R and watershed delineation
Intro to hydrological modeling with HBV
Calibrate HBV with Monte Carlo sampling
https://tpcovino.github.io/ensc_445_545_bookdown/
Repo for exam 1, covering units 1-4.
Landing page for git pages for Tim Covino.
In lab 1 we will practice the skills learned in Unit 1 & 2.
In lab 3 we will work on skills from unit 4 including dataRetrieval and shaping dfs
In lab 5 we will complete low flow analyses.
In this lab we will complete a flood frequency analysis on the Corwin Springs gage.
MK trend test and Sen's slope of climate data
In this lab we will do P analysis on the Upper Yellowstone near Corwin Springs gage.
Bookdown for LRES 546 Environmental Modeling
Data and code for exericses in the University of Saskatchewan's graduate course in porcess-Based Hydrological Modelling.
Analysis of rating curve data
Time-variable transport using storage selection (SAS) functions. Still in beta, with known bugs.
In this lab we will be working on statistics in hydrology.
Config files for my GitHub profile.
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.