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bintulu-flood-maps

citycat-frictioncoeffs

Extracts frictionCoeff.txt file in CityCAT format from a shape file

citycat-frictioncoeffs-docker

CityCAT-FrictionCoeffs-Docker

citycat-spatialrainfall

Extracts Rainfall_polygon.txt file in CityCAT format from a shape file

citycatio

Python package for creating CityCAT models and converting results

firm

An Agent-Based Model for Flood Incident Management

flood_estimation_nu

Repository containing the process for flood estimation for single site and pool method as per FEH manual

huum_classification

Classification of diurnal time series patterns. Used with HUUM for parameter adjustment.

huum_io

IO methods for HUUM models.

huum_model

The HUUM model system.

huum_sample_models

Development and Baseline Models for usage with HUUM

intense-qc

Quality control procedure for hourly rainfall data

long-banga-flood-maps

mesacat

Mesa Model of Flood Evacuation using OpenStreetMap

ngif

Plotly Dash app to visualise and download NGIF sensor data

ngif-alarm

ngif-fetch

ngif-sensor

Python script that sends sensor data to the NGIF database

pyshetran

This repository has all the code developed to create the files require to input in SHETRAN

shear-web

Kampala Flood Risk and Weather Data Dashboard

shetran

Shetran Hydrological Model

shetran-public

Public version of the Shetran repository. Contains executables but no code

shetran-results-viewer

GUI for viewing and exporting SHETran results

shetran-uk-generic-catchment-setup-scripts

This project contains the code required for setting up UK catchments. These can be produced using 1km ascii masks (aligned to the nearest 1000m). The project also includes functions that can be used to analysise the simulations. Simulations are set up from gridded historical climate data (CEH-GEAR and CHESS, 1980-2015) and static input data. These datasets are not included in this repository.

shetran-uk-ukcp18-catchment-setup

Scripts create/run simulations using UKCP18 drivers. These rely on pre-setup equivalent historical models for static inputs and bias control of meteorological data. Historical simulations can be setup using https://github.com/nclwater/SHETRAN-UK-Generic-Catchment-Setup-Scripts). This code was developed and used for the OpenCLIM project.

shetranio

Python package for setting up SHETran models and extracting results

subhourlyqc

Contains the functions required to extend GSDR-QC (Intense_qc) to sub-hourly data. First a frequency and resolution check ensure we only work on sub-hourly data. Second, a threshold-based check quality controls the rainfall records.

weather-reporter

A Windows UI to create PDF reports from Davis WeatherLink export files

wow

Contains python code in jupyter notebooks for the processing of WOW data, bonus MIDAS hourly and daily rainfall processing code