Software

Everything we produce is available. We build open tools because others should be able to use them.

FEATURED TOOL

CoSMoS: Complete Stochastic Modelling System

CoSMoS is an award-winning open-source R package that generates realistic synthetic time series and spatial fields of any hydroclimatic variable (precipitation, streamflow, wind speed, humidity) in seconds. You define the statistical properties you need — CoSMoS produces the ensemble.

  • Univariate, multivariate, and random field simulation of any hydroclimatic variable
  • Preserves marginal distributions, correlation structure, and intermittency across scales
  • Space-time storm simulation including advection from local rainfall to cyclone-scale fields

Maintained by TycheLab — Papalexiou, Serinaldi, Shook

CRAN GitHub R Vignette

35,000+ downloads on CRAN since 2019

Recognition

  • 2022 STAHY Best Paper Award — International Commission of Statistical Hydrology (ICSH) — for the unified stochastic modelling framework. [Paper]
  • Water Resources Research 2020 Editors' Choice Award (AGU, awarded 2022) — for the random field simplification and simulation approach. [Paper]
  • AGU Eos Research Spotlight (2021) — Improving Weather Simulations Through Increased Generality. Eos ↗
RiskMap
A High-Resolution Framework for Urban Pluvial Flood Risk Mapping

This high-resolution framework assesses pluvial flood risk at the building scale by operationalizing the IPCC risk concept, defining risk as a function of social vulnerability, exposure and hazard. Preprint  
It was co-developed with authorities from the city of Hamburg and successfully applied to identify risk hotspots in Hamburg. Preprint
 

Teddy Tool
Temporal disaggregation of daily climate model data for climate impact analysis

Teddy is an open-source framework for the temporal disaggregation of daily climate model output to sub-daily resolution, based on a climate analogue approach that assigns observed diurnal cycles from high-resolution reanalysis data to statistically similar days while preserving physical consistency and conserving daily mass and energy. Paper

CropSuite
A comprehensive open-source crop suitability model

CropSuite is an open-source, spatially explicit crop suitability modeling framework that integrates climate, soil, and socioeconomic factors using a fuzzy-logic approach based on Liebig’s law of the minimum, enabling high-resolution, multi-crop assessments that explicitly account for climate variability and support robust land-use planning and adaptation analysis. Paper