ArtesiaWater

Artesia Water's repositories

Module for loading observation data into custom DataFrames

Language:PythonMIT51 7 100

:chart_with_upwards_trend: Tools for applying automatic error detection schemes to timeseries

Language:Python10 40

This repository contains the Jupyter Notebooks for the manual time series analysis of the STOWA, using the Python-package Pastas

Language:Jupyter NotebookMIT8 9 10

An iOS and Android app to perform location-bound measurements in the field

Language:DartMIT7 2 20

Python module voor het berekenen van waterbalansen zoals ontwikkeld door Maarten Ouboter

Language:PythonMIT5 1 16

Python scripts voor oppervlaktewater-component Utrechts GrondWater model (UGW)

Language:Python4 6 9

Pastas is an open-source framework for the analysis of hydrological time series.

Language:PythonMIT100

Project specific code for running waterbalance tool for Waternet

Language:Python1 10

Language:Python020

This GitHub contains an exercise to learn how to use GitHub

Language:Python000

Language:Jupyter NotebookMIT030

Language:Jupyter NotebookMIT000

A simple Python package to calculated some popular drought indices such as the SPI, SPEI and SGI.

Language:PythonMIT000