Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: downscaling

pangeo-data/scikit-downscale

Statistical climate downscaling in Python

Language: Python - Size: 14.1 MB - Last synced: about 24 hours ago - Pushed: about 1 month ago - Stars: 177 - Forks: 45

robbiewatt1/ClimateDiffuse

Diffusion for climate downscaling

Language: Python - Size: 971 KB - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 8 - Forks: 0

alvaro-gc95/RASCAL

Python package to reconstruct and extend observational climate series through empricial downscaling of large-scale models

Language: Jupyter Notebook - Size: 216 MB - Last synced: 12 days ago - Pushed: 14 days ago - Stars: 2 - Forks: 1

ClimateImpactLab/downscaleCMIP6

Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project

Language: Jupyter Notebook - Size: 84.8 MB - Last synced: about 19 hours ago - Pushed: 27 days ago - Stars: 119 - Forks: 27

ArcticSnow/TopoPyScale

TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale

Language: Python - Size: 14.2 MB - Last synced: 23 days ago - Pushed: 26 days ago - Stars: 33 - Forks: 6

RolnickLab/constrained-downscaling

A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.

Language: Python - Size: 107 KB - Last synced: 20 days ago - Pushed: 10 months ago - Stars: 51 - Forks: 3

NCAR/icar

The Intermediate Complexity Atmospheric Research model (ICAR)

Language: Fortran - Size: 15.6 MB - Last synced: about 3 hours ago - Pushed: 15 days ago - Stars: 72 - Forks: 52

carlos-gg/dl4ds

Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistical downscaling of gridded data

Language: Jupyter Notebook - Size: 4.29 MB - Last synced: 25 days ago - Pushed: over 1 year ago - Stars: 75 - Forks: 22

Dan-Boat/PyESD

Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.

Language: Python - Size: 68.4 MB - Last synced: 28 days ago - Pushed: 3 months ago - Stars: 36 - Forks: 8

kenzaxtazi/mfgp

Multi-Fidelity Gaussian Processes (MFGP) applied to downscaling sparse climatic data.

Language: Jupyter Notebook - Size: 53 MB - Last synced: 28 days ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

maheshrayas/kube-saver

Cost saving K8s controller to scale down and up of resources during non-business hours

Language: Rust - Size: 294 KB - Last synced: 22 days ago - Pushed: about 1 month ago - Stars: 7 - Forks: 1

davitpapikyan/Probabilistic-Downscaling-of-Climate-Variables

Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models

Language: Python - Size: 4.44 MB - Last synced: 4 months ago - Pushed: about 2 years ago - Stars: 16 - Forks: 3

scholer/pptx-downsizer

Python tool for downsizing Microsoft PowerPoint presentations (pptx) files.

Language: Python - Size: 34.2 KB - Last synced: 17 days ago - Pushed: over 1 year ago - Stars: 18 - Forks: 2

atmoswing/atmoswing

The official AtmoSwing repository

Language: C++ - Size: 41.9 MB - Last synced: about 1 month ago - Pushed: 3 months ago - Stars: 5 - Forks: 4

paulaharder/constrained-downscaling

A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.

Language: Python - Size: 72.3 KB - Last synced: 4 months ago - Pushed: 11 months ago - Stars: 8 - Forks: 1

taohan10200/Awesome_AI4Earth

Awesome-AI4Earth: a curated list of machine learning in Earth System, especially for weather and climate.

Size: 28.3 KB - Last synced: 4 months ago - Pushed: 5 months ago - Stars: 2 - Forks: 0

oumef2/Camera-360

Using Stereo SGM to calculate the disparity map of two images :Stereo Processing by Semiglobal Matching and Mutual Information .

Language: C++ - Size: 8.05 MB - Last synced: 4 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

DanielGetter/Downscaling_SRCNN

Code repository associated with "Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification" (Getter, Bessac, Rudi, Feng).

Language: Python - Size: 22.5 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 5 - Forks: 0

Rafnuss-PhD/A2PK

Generate stocastic Gaussian realization constrained to a coarse scale image.

Language: HTML - Size: 23.6 MB - Last synced: 4 months ago - Pushed: over 4 years ago - Stars: 10 - Forks: 3

Hydroenvironment/Statdownscaling

Statistical dowscaling of climate data at daily scale using quantile mapping (QPM) technique.

Language: R - Size: 231 KB - Last synced: 4 months ago - Pushed: almost 2 years ago - Stars: 10 - Forks: 6

jingtao-lbl/DownscalingReanalysis

This repository contains three packages that assemble codes and scripts to downscale coarse-resolution reanalysis fields to finer resolutions, accounting for subgrid-scale variability and/or topographic effects.

Language: MATLAB - Size: 27.8 MB - Last synced: about 1 month ago - Pushed: over 3 years ago - Stars: 4 - Forks: 3

GustavoFacincani/My-Code

Scripts that I've used during grad school for data collection, analysis, visualization, cleaning, wrangling, etc., for classes, project reports, and manuscripts.

Language: R - Size: 376 KB - Last synced: 4 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

NCAR/GARD

Generalized Analog Regression Downscaling (GARD) code

Language: Fortran - Size: 560 KB - Last synced: 28 days ago - Pushed: about 2 months ago - Stars: 26 - Forks: 18

MNLR/BNICRF

Bayesian Network-Infored Conditional Random Forests

Language: Jupyter Notebook - Size: 13.9 MB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

MNLR/BNWeatherGen

Weather Generators with Bayesian Networks

Language: R - Size: 1.3 MB - Last synced: 4 months ago - Pushed: 12 months ago - Stars: 7 - Forks: 2

jhamman/LOCA_Downscaling_Analysis 📦

A collection of notebooks and tools for analyzing the LOCA dataset

Language: Jupyter Notebook - Size: 46.4 MB - Last synced: 4 months ago - Pushed: about 5 years ago - Stars: 7 - Forks: 6

JGCRI/fldgen

Given a global mean temperature pathway, generate random global climate fields consistent with it and with spatial and temporal correlation derived from an ESM

Language: R - Size: 93.2 MB - Last synced: 4 months ago - Pushed: over 3 years ago - Stars: 11 - Forks: 5

PablitoCho/rSQM

r package doing Simple Quantile Mapping downscaling technique.

Language: R - Size: 1.04 MB - Last synced: 4 months ago - Pushed: over 5 years ago - Stars: 5 - Forks: 0

dinilu/dsclim

Ease the use of the climate4r package to downscale TraCE21ka and CMIP5 climate data in combination with UERRA reanalysis data.

Language: R - Size: 4.44 MB - Last synced: 4 months ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

AEI-CORDyS/AEI-CORDyS.github.io

CORDyS project website

Size: 566 KB - Last synced: 4 months ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

eXistenZNL/KubeDownscalingAnalyzer

Analyzer that shows why your Kubenetes cluster does not scale down like you expect

Language: PHP - Size: 11.7 KB - Last synced: 12 days ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

Aidan647/multi_core_image_resizer

Multicore! Faster!

Language: Python - Size: 27.3 KB - Last synced: 4 months ago - Pushed: almost 3 years ago - Stars: 2 - Forks: 1

daliakopoulos/richness_downscaling

Based on the code of Daliakopoulos I.N., Katsanevakis, S., and Moustakas, A.

Size: 13.7 KB - Last synced: 4 months ago - Pushed: almost 6 years ago - Stars: 0 - Forks: 0

Related Keywords
downscaling 33 climate 10 precipitation 5 super-resolution 4 deep-learning 3 climate-science 3 machine-learning 3 climate-data 3 hydrology 3 physics-constrained 2 timeseries 2 random-forest 2 bayesian-networks 2 cmip6 2 python 2 simulation 2 meteorology 2 kubernetes 2 diffusion-models 2 xarray 2 spatial-analysis 1 statistical-analysis 1 sankey-diagram 1 plotting-in-r 1 netcdf-files 1 energy-data 1 cleaning-data 1 violinplot 1 bias-correction 1 r 1 windspeed 1 specific-humidity 1 shortwave-radiation 1 reanalysis-products 1 longwave-radiation 1 atmospheric-forcing 1 air-temperature 1 air-pressure 1 hydrolohy 1 climatechange 1 biascorrection 1 point-kriging 1 kriging 1 geostatistics 1 upscaler 1 resize-images 1 resize 1 python3 1 multithreading 1 multicore 1 imageresizer 1 image-processing 1 autoscaling 1 cordex 1 paleoclimate 1 ecological-modelling 1 climate-change 1 climate-variability 1 weather-generators 1 stochastic-models 1 probabilistic-graphical-models 1 grain 1 bnlearn 1 belief-networks 1 regression 1 logistic-regression 1 analog 1 wrangling-data 1 wrangle-and-analyse 1 wind 1 deployment 1 cost-optimization 1 gaussian-processes 1 tensorflow2 1 sckit-learn 1 ensemble-machine-learning 1 tensorflow 1 earth-science 1 earth-observation 1 regional-climate-model 1 netcdf 1 icar 1 emulation 1 science 1 joss 1 geoscience 1 era5 1 dem 1 clustering 1 downscale 1 climate-impacts 1 reconstructions 1 package 1 library 1 extension 1 scikit-learn 1 climate-modeling 1 testbench 1 stereo-vision 1 mutual-information 1