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anomalies_annual_cycle_trends

A python code that calculates anomalies by removing the smoothed mean annual cycle and [or not] trends. The mean annual cycle is smoothed using its first 3 harmonics.

autotorch

AutoTorch, A HPO Toolkit

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-gee

A curated list of Google Earth Engine resources

bayesian_parameter_estimation

Markov Chain Monte Carlo (MCMC) Bayesian parameter estimation using pymc3.

bayesianframework

A framework for Bayesian model selection (BMS) and Bayesian model Averaging (BMA).

bayesianlinearregression

Python implementation of methods described in "Pattern Recognition and Machine Learning" by Christopher Bishop to perform Bayesian Linear regression on synthetic data.

beps-sif-model

BEPS-SIF is a global sun-induced chlorophyll fluorescence model which considers the multiple scattering effects within a canopy.

beps_d

Daily BEPS model was originally developed by Jane Liu.

bma

Routines for Bayesian Model Averaging.

carbon

Predicting carbon fluxes from satellite data with neural networks.

container-clm

Docker container for Community Land Surface Model CLM5.0

cryogrid

This is the community version of CryoGrid, a numerical model to investigate land surface processes in permafrost environments.

da-tutorials

Course on data assimilation (DA)

dapper

Data Assimilation with Python: a Package for Experimental Research

ddtv

scripts for visualizing data for/from the dvm-dos-tem ecosystem model

dos-tem

dostem

dostem2.0-runner

the Java Interface for calibrating and running DOSTEM2.0

dostem2runpackage

downscale

Simple Delta-Downscaling for SNAP Climate Data

downscale-satellitelst

A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.

downscaledl

dvm-dos-tem

A process based Dynamic Vegetation, Dynamic Organic Soil, Terrestrial Ecosystem Model.

dvmdostem-runner

java interface (GUI) and I/O to run DVM-DOS-TEM core codes

earthml

Tools for working with machine learning in earth science

ecosys

The ECOSYS model for terrestrial ecosystem biogeochemistry

edcstfn

An Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion

eemd-project

This is a MATLAB project which can calculate EMD/EEMD

elapid

Convenience functions to support species distribution modeling, including a python wrapper for MaxEnt