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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.

noah_mp_v1.1

This is a repo of NOAH-MP model (V1.1). Original URL: https://ral.ucar.edu/sites/default/files/docs//simple-driver-noahmp-v11tar.gz

notes

documents

numerical-modelling-in-fortran

Lecture notes and codes for the course "Numerical Modelling in Fortran" given by Prof. Paul Tackley, ETH Zurich

numerical-modelling-of-weather-and-climate

The lecture note and project from the course "Numerical modelling of weather and climate" given by Prof Schaer and Prof Lohmann in ETH Zurich

o2model

Permafrost thawing and erosion results in the enrichment of northern lakes by soil organic matter. These allochthonous organic inputs favour bacterial decomposition processes and cause the rapid draw-down of dissolved oxygen, eventually to anoxic conditions that may favor methanogenesis. Our objective in the present study was to examine the seasonal variation in dissolved oxygen and its potential responses to climate change in permafrost peatland lakes. Limnological variables as well as bacterial metabolic rates were measured in shallow lakes along a longitudinal gradient from continuous to sporadic permafrost. A deterministic, one-dimensional lake model was used to simulate the seasonal fluctuations in water temperature and oxygen concentrations in a three-layer permafrost peatland lake and to investigate potential changes from the recent past up to the year 2095 under two climate scenarios (RCP 4.5 and 8.5). The model showed a reduction in number of anoxic days per year under both climate scenarios. Given reduced ice cover, these systems tended towards greater oxygen concentrations over time. Future warming may transform these ecosystems from anaerobic bioreactors to oxic ecosystems through much of the year, ultimately reducing their net methane emission rates.

ocgis

OpenClimateGIS is a set of geoprocessing and calculation tools for CF-compliant climate datasets.

odmtoolspython

ODMTools is a python application for managing observational data using the Observations Data Model. ODMTools allows you to query, visualize, and edit data stored in an Observations Data Model (ODM) database.ODMTools was originally developed as part of the CUAHSI Hydrologic Information System.

openbest

open source implementation of the Berkeley Earth Surface Temperature software

packman

This is another package manager, like Homebrew, but with the concern about compiler sensitivity and lack of internet connection. It can also run on most the Linux distros and Mac OS X. Let it SAVE your time!

parallel-snowmodel-1.0

This repository contains code used to parallelize SnowModel

parflow

Parflow is an open-source parallel watershed flow model.

pcmdi_metrics

Self contained packages to run PCMDI Metrics

permaclim

Permafrost distribution based on climate observations

permafrost

Alaskan permafrost processing and analysis

permafrosttools

Tools for Permafrost Data

permamodel

Permafrost models with a BMI interface

permamodel_hackathon

pestpp

PEST++ inverse model project

pihm

The Penn State Integrated Hydrologic Model (PIHM) is a fully coupled multiprocess hydrologic model. Instead of coupling through artificial boundary conditions, major hydrological processes are fully coupled by the semi-discrete finite volume approach. For those processes whose governing equations are partial differential equations (PDE), we first discretize in space via the finite volume method. This results in a system of ordinary differential equations (ODE) representing those procesess within the control volume. Within the same control volume, combining other processes whose governing equations are ODE’s, (e.g. the snow accumulation and melt process), a local ODE system is formed for the complete dynamics of the finite volume. After assembling the local ODE system throughout the entire domain, the global ODE system is formed and solved by a state-of-art ODE solver.

plotpub

Publication quality plot in MATLAB.

pplsms

The Pre-processing and Post-processing of Land Surface Models

precip2swe

Collection of the functions on converting precipitation to snow water equivalent and then calculating the corresponding snow physical properties

prettyplotlib

Painlessly create beautiful matplotlib plots.

prism

PRISM Python code

psims

pybht

Estimate subsurface temperatures from borehole temperature data using inverse modeling

pycmbs

python based geoscientific and climate data analyis and model benchmarking tool

pydeltarcm_wmt

pydice