hydrology-statistical

There are 6 repositories under hydrology-statistical topic.

• hzambran / hydroTSM

  Time Series Management and Analysis for Hydrological Modelling

  hydrologyhydrology-modelinghydrology-statisticalrresourcewater-resources
  Language:R 47

• hydrologie / xhydro

  Hydrological analysis library built with xarray.

  hydrological-data-analysishydrologyhydrology-statistical
  Language:Python 37
• Applying-Deep-Learning-vs-Machine-Learning-models-to-reproduce-dry-spell-sequences

  Pargo18 / Applying-Deep-Learning-vs-Machine-Learning-models-to-reproduce-dry-spell-sequences

  This research constitutes an attempt to assess the dry spell patterns in the northern region of Ghana, near Burkina Faso. We aim to develop a model which by exploiting satellite products overcomes the poor temporal and spatial coverage of existing ground precipitation measurements. For this purpose 14 meteorological stations featuring different temporal coverage are used together with satellite-based precipitation products. Conventional machine-learning and deep-learning algorithms were compared in an attempt to establish a link between satellite products and field rainfall data for dry spell assessment.

  machine-learningdeep-learningdeep-neural-networksconvolutional-neural-networksfeedforward-neural-networklogistic-regressionrandom-forestgaussian-naive-bayessupport-vector-machinestransfer-learninghydrologyhydrology-statistical
  Language:Jupyter Notebook 8

• GeomarPerales / Probability-Distributions-for-hydrology-with-Python

  scripts developed for statistical hydrology - IMF - UNMSM.

  hydrologystatisticalhydrology-statisticalimfunmsm
  Language:Python 7

• GeomarPerales / Probability-Distributions-for-hydrology-with-R

  scripts developed for course of statistical hydrology - IMF - UNMSM.

  hydrologyhydrology-statisticalunmsmimfstatistical
  Language:R 7

• valeriyafilipova / StochasticPQRUT

  Model for estimating return periods for flood events

  hydrological-modellinghydrologyhydrology-statistical
  Language:R 5

• vrettasm / HydroModel

  Hydrological Model (Berkeley). This project implements the underground (stochastic) hydrological model (in Python) that was developed during my postdoctoral tenure at the Dept. of Earth & Planetary Science, U. C. Berkeley, (2013 - 2016).

  python3hydrology-statisticalstochastic-modelingunderground-water
  Language:Python 5

• YannisZa / bayesian-hydrological-modeling

  Mini Project on Bayesian treatment of hydrological models

  bayesian-inferencehydrological-modellinghydrologyhydrology-statisticalhydrology-simulationhydrological-models
  Language:Jupyter Notebook 5

• jds485 / EnGauge

  Repository for gathering Environmental Gauge data, processing that data, and doing basic exploratory (spatial) data analysis.

  hydrology-statisticalhydrologygaugeexploratory-data-analysis
  Language:R 4
• AI_research

  Easy2learnAI / AI_research

  it's a repository to develop proggrams of hydrology researchs,.

  deep-learninghydrologic-modelinghydrological-modelhydrologyhydrology-statisticalmachine-learningpython
  Language:Python 3

• loicduffar / Homegeneity-test-for-hydrologic-time-series

  Buishand and Double Mass tests for hydrologic Time serie homogeneity

  hydrologyhydrology-statisticalrainfall-dataprecipitation-datatimeseries-analysis
  Language:Jupyter Notebook 3

• super-lou / CARD

  🎴 Card of Analyse and Diagnostic in R for a user-friendly experience of data aggregation with EXstat

  aggregationclimate-changeclimate-dataclimate-sciencedata-analysisdata-sciencediagnosticenvironmentenvironment-variableshydrologyhydrology-statisticalinraerstatisticstoolsuser-friendly
  Language:R 3

• jds485 / PAD_IceJamFloods

  Frequency analysis for ice jam floods applied in the Peace-Athabasca Delta, Canada. Serves as the paper code repository for Timoney et al. (2018) and Lamontagne et al. (in prep).

  bootstrapregressionhydrology-statisticallogistic-regressionpeace-athabasca-deltaice-jam-floodingflood-frequency-analysis
  Language:R 2

• ai4er-cdt / flood_risk_shipston

  The purpose of this project is to investigate whether we can establish the effectiveness of natural flood management (NFM) interventions undertaken in the British town of Shipston-on-Stour during 2017 to 2020 from publicly available meteorological data and private data from the river gauge in Shipston.

  floodinghydrology-statisticalrainfall-runoff-model
  Language:HTML 1

• ecor / rasterList

  Activity conducted in the framework of Aquaknow-related software tools

  climatehydrologyhydrology-statisticalhydrology-stormwater-analysis
  Language:R 1

• pcgotan / DesignDischage

  This is the statistical approach to estimate the design discharge (50 year return period flood) at a given site.

  dischargereturn-periodhydrology-statisticalprobability-distributionshydraulicsstatistical-estimations
  Language:Jupyter Notebook 1

• rizkaameliads / STLplus-application

  This repo applies STLplus to GRACE/GRACE-FO TWSA data from CSR (Center for Space Research) with a 0.25-degree spatial resolution and a one-month temporal resolution. STLplus is an improved decomposition approach of seasonal and trend decomposition using Loess (STL) by Cleveland et al. (2019), developed by Ryan Hafen.

  gracehydrologyhydrology-statisticalindonesiastl-decompositionstlplus
  Language:R 1

• UW-SASWE / UW_CEWA-566_Google-Earth-Engine-Tutorials

  This repository contains tutorials to begin with Google Earth Engine using Python API. The tutorials were developed for course CEWA - 566 (Satellite Remote Sensing for Water Resources) and therefore focuses more on hydrology aspect.

  geegoogle-earth-enginehydrologyhydrology-statisticalprecipitation-dataremote-sensing
  Language:Jupyter Notebook 1

• sei-latam / ANATEHC

  Hydroclimalogy Analysis.....

  data-analysisdata-visualizationhydrology-statisticalr
  Language:R 0

• ib-fauzan / HydrologyAnalysis

  This is a step-by-step Hydrological Analysis to calculate Flood Discharge Return Period

  floodhydrologyhydrology-statistical
  Language:Jupyter Notebook