messamat

BrazilDCI_Python

Assessment and trade-off analysis of energy production and river fragmentation by hydropower dams in Brazil

BrazilDCI_R

Assessment and trade-off analysis of energy production and river fragmentation by hydropower dams in Brazil

globalIRmap

Code for analysis and online research compendium for Messager et al. "Global prevalence of non-perennial rivers and streams".

dryverIRmap_preprocessing_py

GHM_downscaling

globalIRmap_HydroATLAS_py

Ruhietal2018_Shinyapp

Source code for online app serving as supplemetary material to Ruhi, A., Messager, L. M., & Olden, J. D. (2017) "Consistent freshwater resource monitoring for a changing world"

stormwater_samplingR

R scripts to find traffic-related polution hotspots in the Puget Sound Watershed and allocate field sites to sample heavy metal concentrations in moss.

caynaca_metacom

FER_IRES

Systematic review of flow-ecology relationships (FER) in intermittent rivers and ephemeral streams (IRES)

GEFIS_testPy

GEFIS_testR

Compare environmental flow estimates from the Global Environmental Flow Information System to local e-flow assessments

globalEF_testPy

Python code for Messager et al. (2024) 'Limited comparability of global and local estimates of environmental flow requirements to sustain river ecosystems'

globalEF_testR

R code for Messager et al. (2024) 'Limited comparability of global and local estimates of environmental flow requirements to sustain river ecosystems''

globalIRmap_py

Code for pre-processing and spatial analysis for Messager et al. (2021) "Global prevalence of non-perennial rivers and streams" published in Nature

metacom_EF_sim

flood_vulnerability_wa

Fine scale assessment of riverine flood vulnerability in Washington State

flood_vulnerability_waR

Fine scale assessment of flood vulnerability in Washington State - R scripts

globalIRmap_anthropo

gloric_hydro_v2_py

gloric_hydro_v2_R

GSIMires

Global compilation of streamflow gauging stations monitoring non-perennial rivers and streams

HEED

Higher Education Ecological Data survey

HydroATLAS_sampleR

Example workflow to snap sites on rivers and lakes to RiverATLAS and LakeATLAS, respectively, and extract raster data

hydrocleanR

Shiny application to interactively visualize and clean up hydrological data

IRESdroughts

Analysis supporting Sarremejane et al. (in review) Drought in intermittent river and ephemeral stream networks

LakeATLAS_Python

LakeATLAS_R

Analysis of LakeATLAS

TZclass

River classification for Tanzania

TZclass_GIS

Python scripts for Tanzania river classification