downscaling

There are 40 repositories under downscaling topic.

  • pangeo-data/scikit-downscale

    Statistical climate downscaling in Python

    Language:Python184142346

  • ClimateImpactLab/downscaleCMIP6

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

    Language:Jupyter Notebook1301029631

  • 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 Notebook8331026

  • NCAR/icar

    The Intermediate Complexity Atmospheric Research model (ICAR)

    Language:Fortran72273953

  • RolnickLab/constrained-downscaling

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

    Language:Python67244

  • 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:Python44529
  • TopoPyScale

    ArcticSnow/TopoPyScale

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

    Language:Python395799

  • caas-team/py-kube-downscaler

    Scale down / "pause" Kubernetes workload (Deployments, StatefulSets, and/or HorizontalPodAutoscalers and CronJobs too !) during non-work hours.

    Language:Python2822210

  • NCAR/GARD

    Generalized Analog Regression Downscaling (GARD) code

    Language:Fortran28103218

  • robbiewatt1/ClimateDiffuse

    Diffusion for climate downscaling

    Language:Python26137

  • davitpapikyan/Probabilistic-Downscaling-of-Climate-Variables

    Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models

    Language:Python19104

  • scholer/pptx-downsizer

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

    Language:Python19342

  • Hydroenvironment/Statdownscaling

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

    Language:R16106

  • Rafnuss-PhD/A2PK

    Generate stocastic Gaussian realization constrained to a coarse scale image.

    Language:HTML13313
  • 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:R128426

  • 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:Python8210

  • maheshrayas/kube-saver

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

    Language:Rust8281

  • paulaharder/constrained-downscaling

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

    Language:Python8101

  • jhamman/LOCA_Downscaling_Analysis

    A collection of notebooks and tools for analyzing the LOCA dataset

    Language:Jupyter Notebook7306

  • MNLR/BNWeatherGen

    Weather Generators with Bayesian Networks

    Language:R7302

  • alvaro-gc95/RASCAL

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

    Language:Jupyter Notebook6101

  • caas-team/GoKubeDownscaler

    A vertical autoscaler for Kubernetes workloads

    Language:Go6371

  • atmoswing/atmoswing

    The official AtmoSwing repository

    Language:C++552064

  • PablitoCho/rSQM

    r package doing Simple Quantile Mapping downscaling technique.

    Language:R5110

  • taohan10200/Awesome_AI4Earth

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

    5102

  • 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:MATLAB4203

  • Aidan647/multi_core_image_resizer

    Multicore! Faster!

    Language:Python2201

  • dinilu/dsclim

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

    Language:R1100

  • oumef2/Camera-360

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

    Language:C++1100

  • zali2-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:C1111

  • dimitrisk/populR

    Population Downscaling Using Areal Interpolation

    Language:R0000

  • MNLR/BNICRF

    Bayesian Network-Infored Conditional Random Forests

    Language:Jupyter Notebook0200

  • fco-aguirre/Snow_Cover_SMATI

    A high resolution tool for snow cover reconstruction studies

    Language:R
  • mfgp

    kenzaxtazi/mfgp

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

    Language:Jupyter Notebook10

  • samuel-esp/py-kube-downscaler

    Scale down Kubernetes deployments after work hours

    Language:Python00

  • sudarshan710/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