Explore @IMMM-SFA Open Source projects

Integrated Multisector Multiscale Modeling (@IMMM-SFA)

IMMM-SFA

Stars
219
Global Org. Rank 38,491 (Top 13 %)
Registered about 7 years ago
Most used languages

Python
28.9 %

Fortran
23.7 %

Jupyter Notebook
21.1 %

R
15.8 %

MATLAB
5.3 %

HTML
2.6 %

AMPL 2.6 %
Location 🇺🇸 United States
Country Total Rank 33,833
Country Ranking

AMPL 40

Fortran
199

R
1,411

Jupyter Notebook
2,371

MATLAB
3,142

Python
8,916

msd_uncertainty_ebook

eBook: Addressing Uncertainty in MultiSector Dynamics Research

Jupyter Notebook

diyepw

Create EnergyPlus ready EPW files from observed data.

tell

A model to predict Total ELectricity Loads (TELL)

mosartwmpy

Python translation of MOSART-WM: a water routing and management model

cerf

The Capacity Expansion Regional Feasibility (CERF) model

metarepo

A single point of access meta-repository that guides others in how to reproduce an experiment

starfit

Storage Target and Release Function Inference Tool

naturf

NATURF: Neighborhood Adaptive Tissues for Urban Resilience Futures

Jupyter Notebook

horizon

A tool for inferring and analyzing forecast-guided dam and reservoir operations

population_gravity

Allocates urban and rural populations for a defined region to a grid

WRF_CLM4_Irrigation

Codes to represent irrigation, GW pumping and paddy fields in WRF-CLM4

burleyson-etal_2024_applied_energy

Meta repository for data and code associated with the Burleyson et al. 2024 submission to Applied Energy.

Jupyter Notebook

burleyson-etal_2021_applied_energy

Meta repository for data and code associated with the Burleyson et al. 2021 paper in Applied Energy.

wm

MOSART-WM - a large scale water management model

exp_group_b

End-to-end test of the workflow underpinning IM3's Exp. Group B

LULCC_CESMVR

User namelist settings, code changes and driving scripts to set to CESM-VR on NERSC CORI for LULCC simulations

burleyson-etal_2020_energy

Meta repository for data and code associated with the Burleyson et al. 2020 paper in Energy.

statemodify

A package to modify StateMod's input and output files for exploratory modeling

Jupyter Notebook

PRIMA_CLM4

CLM4 configuration and driving scripts under the PRIMA Initiative

iwmm

Integrated Water Management Model

turner_voisin_nelson_2022_scientific_data

A meta-repo for the RectifHyd dataset

ssembatya-etal_2024_earths_future

Meta repository for data and code associated with the Ssembatya et al. 2024 submission to Earth's Future

Jupyter Notebook

Rastogi-etal_2023_CHD

wrf_qa_qc

Repository for the Weather Research and Forecasting Model (WRF) QA/QC process within IM3

CLM5_bioenergy

user namelist settings, code changes and driving scripts to set up CLM5 on Constance for bioenergy crop simulations

autometa

User interface to automatically build a meta-repository

vernon-etal_2023_scidata

Harmonized geospatial data to support feasibility analyses of energy system transitions in the United States

Jupyter Notebook

im3py

An IM3 template repository for Python projects that have time-steps

xu_etal_2022_sdata

Building stock anthropogenic heat analysis

wmpp

WM post-processing tool

csdms-mosartwmpy-clinic-2022

Materials for the mosartwmpy clinic at the CSDMS 2022 conference

Jupyter Notebook

yoon-etal_2024_hess

Meta repository for Yoon et al 2023 manuscript in HESS

im3components

IM3 components to maintain reproducible interoperability

mosart-heat

A large-scale stream temperature model

tempset

Generates new temperature set point schedules from base schedules

res-strat

A Multi-layer Reservoir Thermal Stratification Module for Earth System Models

khan-etal_2023_im3gcamusa

Paper exploring human and earth system drivers on water, energy and land system in the USA.

plexos_run_query

Turner_et_al_2020_WRR

Data to support paper submitted to WRR: Data-driven reservoir simulation in a large-scale hydrological and water resource model

proxymod

A lightweight Python package to simulate model interactions

Jupyter Notebook

urban_clm5

li-etal_2023_SA

Meta repository for data and code associated with the Li et al. 2023 submission to Science Advances