downscaling
There are 4 repositories under downscaling topic.
pangeo-data / scikit-downscale
Statistical climate downscaling in Python
Language:Python 192ClimateImpactLab / downscaleCMIP6
Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project
Language:Jupyter Notebook 143carlos-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 94RolnickLab / constrained-downscaling
A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
Language:Python 87- Language:Fortran 80
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 55robbiewatt1 / ClimateDiffuse
Diffusion for climate downscaling
Language:Python 55caas-team / py-kube-downscaler
Scale down / "pause" Kubernetes workload (Deployments, StatefulSets, and/or HorizontalPodAutoscalers and CronJobs too !) during non-work hours.
Language:Python 54- TopoPyScale
ArcticSnow / TopoPyScale
TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale
Language:Python 50 - Language:Fortran 33
A horizontal autoscaler for Kubernetes workloads
Language:Go 27davitpapikyan / Probabilistic-Downscaling-of-Climate-Variables
Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models
Language:Python 25scholer / pptx-downsizer
Python tool for downsizing Microsoft PowerPoint presentations (pptx) files.
Language:Python 22Hydroenvironment / Statdownscaling
Statistical dowscaling of climate data at daily scale using quantile mapping (QPM) technique.
Language:R 18- fldgen
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 14 paulaharder / constrained-downscaling
A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
Language:Python 13Rafnuss-PhD / A2PK
Generate stocastic Gaussian realization constrained to a coarse scale image.
Language:HTML 13taohan10200 / Awesome_AI4Earth
Awesome-AI4Earth: a curated list of machine learning in Earth System, especially for weather and climate.
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 10alvaro-gc95 / RASCAL
Python package to reconstruct and extend observational climate series through empricial downscaling of large-scale models
Language:Jupyter Notebook 9maheshrayas / kube-saver
Cost saving K8s controller to scale down and up of resources during non-business hours
Language:Rust 9jhamman / LOCA_Downscaling_Analysis
A collection of notebooks and tools for analyzing the LOCA dataset
Language:Jupyter Notebook 8MNLR / BNWeatherGen
Weather Generators with Bayesian Networks
Language:R 7- Language:C++ 5
- Language:R 5
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 4sudarshan710 / Geospatial-Data-Downscaling-with-U-Net-and-Local-Binary-Patterns
Downscaling spatial resolution of geo-spatial data (TROPOMI SIF) using auxiliary data (MODIS) by application of U-NET and Local Binary Patterns
Language:Jupyter Notebook 3Aidan647 / multi_core_image_resizer
Multicore! Faster!
Language:Python 2dinilu / dsclim
Ease the use of the climate4r package to downscale TraCE21ka and CMIP5 climate data in combination with UERRA reanalysis data.
Language:R 1oumef2 / Camera-360
Using Stereo SGM to calculate the disparity map of two images :Stereo Processing by Semiglobal Matching and Mutual Information .
Language:C++ 1zali2-ta / Template-Matching
Created algorithm in C to detect and highlight best image match with template (2 px accuracy) using pixelwise brute force. The algorithm is optimized by 16x to take less than 5 seconds per image-template pair on i7 processor by down-sampling.
Language:C 1- 0
- Language:R 0
fco-aguirre / Snow_Cover_SMATI
A high resolution tool for snow cover reconstruction studies
Language:R 0- Language:Rust 0
samuel-esp / py-kube-downscaler
Scale down Kubernetes deployments after work hours
Language:Python
