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mct

Model Coupling Tookit

mdatoolsm

MATAB toolbox for Multivariate Data Analysis

meshio

:spider_web: input/output for many mesh formats

mexico-mortality

Mortality data for Mexico, along with useful extra data

mglib

IDL library of Michael Galloy

mhm

The mesoscale hydrologic model (mHM) is a spatially explicit distributed hydrologic model, using the multiscale parameter regionalisation approach (MPR). Developed by the Dept. of Computational Hydrosystems, UFZ Leipzig.

mhm-tools

https://git.ufz.de/mhm/mhm-tools mirror: Tools to pre- and post-process data for and from mHM.

mimi.jl

Integrated Assessment Modeling Framework

moq

Mountain Observation Quality Control

mpc-dice

mrs_mri_libs

Contains libraries for reading, writing and analysing Magnetic Resonance Spectroscopy and Imaging (MRS & MRI) data.

msimcoup2

msimcoup3

mtclim5

Next Generation Mountain Microclimate Simulation Model

multichain_mcmc

Multichain MCMC framework and algorithms based on PyMC.

musa

MuSA: The Multiscale Snow data Assimilation System

mvf

Matlab scripts to import, quality control, fill and export formated forcing data for point snow model simualtions.

mylake_public

MyLake version 1.2

nature_letter_latex_template

A LaTeX classfile to emulate the look of a Nature Letter

ncl-read_grads

Awk scripts and a ncl script to read GrADS ctl files

netcdf-c

Official GitHub repository for netCDF-C libraries and utilities.

netcdf-fortran

Official GitHub repository for netCDF-Fortran libraries, which depend on the netCDF C library. Install the netCDF C library first.

netcdf-gsod

NetCDF Global Summary of Days Example

niagara-hrldas

NoahMP setup, forcing and run scripts on niagara

nichemapr

R implementation of Niche Mapper software for biophysical modelling

noaa-gsod-data-munging

Munging the NOAA GSOD data into CSV and SQL.

noah-owp-modular

Modularized version of the NOAH-MP land surface model.

noah5_demos

noahmp_py

NoahMP Land Surface Model

noah_lsm_mussel_v2.0

A mathematical model that predicts mussel bed temperatures from atmospheric and oceanic data. Mussel survival is predicted using mussel bed temperatures from the model.