iiasa Goto Github PK

aar2-workflow

Project repository for the AAR2 scenario ensemble

abm

accelerator-native-jobs

accelerator_service

Docker compose for services and jobs related to scenario explorer and data processing

accli

IIASA Accelerator Client

actions

GitHub Actions used by IIASA repositories

agrotutor

agrotutor-api

aneris

Harmonization of Emissions Trajectories for Integrated Assessment Models

ariadne-intern-workflow

Scenario processing workflow for the ARIADNE project (internal project database)

beamer-theme-iiasa

a presentation theme for the LaTeX Beamer package

bfast_hadi_yssp

Landsat time series analysis using bfast

brightspace

BrightSpace collaboration

central-asia-storage

This repository hosts data and scripts used to build the energy-water system model of Central Asia, used in publication Zakeri et al. (2022)

climate-action-feasibility-dashboard

climate-assessment

coacch

Source content and generation scripting for COACCH Data Repository site. Indexes COACCH project data hosted on Zenodo.

coacch-data-format

Repository to illustrate data handling of the COACCH data format using pyam

code-and-tell

This is a collection small code snippets from the code and tell sections of the weekly MESSAGEix developers meeting

condor_run_r

R scripts to submit and analyse HT Condor runs

covid-energy-demand-scenarios

croptyperecognition

cse_impact_data

cwatm

Community Water Model (CWatM) is a hydrological model simulating the water cycle daily at global and local levels, historically and into the future, maintained by IIASA’s Water Security group

cwatm-bhima-30sec

CWatM inputs for the Bhima basin and observations to compare with

cwatm-earth-30min

Input data for CWatM at 30 arcminutes

cwatm-earth-5min

cwatm-ebro-1km

CWatM input data for the Ebro river basin at 1 km resolution

cwatm-otta-1km

CWatM input files for the Otta basin, Norway

cwatm_grdc_calibration_stations

The Global Runoff Data Centre provides time series of observed discharges that are very valuable for calibrating and validating the results of hydrological models. We address a common issue in large-scale hydrology which, though investigated several times, has not been satisfactorily solved. Grid-based hydrological models need to fit the reported station location to the river network depending on the resolution, to compare simulated discharge with observed discharge. We introduce an Intersection over Union ratio approach to selected station locations on a coarser grid scale, reducing the errors in assigning stations to the wrong basin. We update the 10-year-old database of watershed boundaries with additional stations based on a high-resolution (3 arcseconds) river network, and we provide source codes and high- and low-resolution watershed boundaries.