Topic: downscaling Goto Github
Some thing interesting about downscaling
Some thing interesting about downscaling
downscaling,CORDyS project website
Organization: aei-cordys
Home Page: https://aei-cordys.github.io
downscaling,Multicore! Faster!
User: aidan647
downscaling,Python package to reconstruct and extend observational climate series through empricial downscaling of large-scale models
User: alvaro-gc95
downscaling,TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale
User: arcticsnow
Home Page: https://topopyscale.readthedocs.io
downscaling,The official AtmoSwing repository
Organization: atmoswing
downscaling,Scale down / "pause" Kubernetes workload (Deployments, StatefulSets, and/or HorizontalPodAutoscalers and CronJobs too !) during non-work hours.
Organization: caas-team
downscaling,Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistical downscaling of gridded data
User: carlos-gg
Home Page: https://carlos-gg.github.io/dl4ds/
downscaling,Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project
Organization: climateimpactlab
downscaling,Based on the code of Daliakopoulos I.N., Katsanevakis, S., and Moustakas, A.
User: daliakopoulos
Home Page: https://www.frontiersin.org/articles/10.3389/feart.2017.00060/full
downscaling,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.
User: dan-boat
Home Page: https://dan-boat.github.io/PyESD/
downscaling,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).
User: danielgetter
downscaling,Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models
User: davitpapikyan
downscaling,Ease the use of the climate4r package to downscale TraCE21ka and CMIP5 climate data in combination with UERRA reanalysis data.
User: dinilu
Home Page: https://dnietolugilde.com/dsclim/
downscaling,Analyzer that shows why your Kubenetes cluster does not scale down like you expect
User: existenznl
downscaling,Scripts that I've used during grad school for data collection, analysis, visualization, cleaning, wrangling, etc., for classes, project reports, and manuscripts.
User: gustavofacincani
downscaling,Statistical dowscaling of climate data at daily scale using quantile mapping (QPM) technique.
User: hydroenvironment
downscaling,Given a global mean temperature pathway, generate random global climate fields consistent with it and with spatial and temporal correlation derived from an ESM
Organization: jgcri
Home Page: https://jgcri.github.io/fldgen/
downscaling,A collection of notebooks and tools for analyzing the LOCA dataset
User: jhamman
downscaling,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.
User: jingtao-lbl
Home Page: https://github.com/jingtao-lbl/DownscalingReanalysis
downscaling,Multi-Fidelity Gaussian Processes (MFGP) applied to downscaling sparse climatic data.
User: kenzaxtazi
downscaling,Cost saving K8s controller to scale down and up of resources during non-business hours
User: maheshrayas
downscaling,Bayesian Network-Infored Conditional Random Forests
User: mnlr
downscaling,Weather Generators with Bayesian Networks
User: mnlr
downscaling,Generalized Analog Regression Downscaling (GARD) code
Organization: ncar
downscaling,The Intermediate Complexity Atmospheric Research model (ICAR)
Organization: ncar
downscaling,Using Stereo SGM to calculate the disparity map of two images :Stereo Processing by Semiglobal Matching and Mutual Information .
User: oumef2
downscaling,r package doing Simple Quantile Mapping downscaling technique.
User: pablitocho
downscaling,Statistical climate downscaling in Python
Organization: pangeo-data
Home Page: https://scikit-downscale.readthedocs.io/en/latest/
downscaling,A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
User: paulaharder
downscaling,Generate stocastic Gaussian realization constrained to a coarse scale image.
Organization: rafnuss-phd
Home Page: https://rafnuss-phd.github.io/A2PK/
downscaling,Diffusion for climate downscaling
User: robbiewatt1
downscaling,A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
Organization: rolnicklab
downscaling,Python tool for downsizing Microsoft PowerPoint presentations (pptx) files.
User: scholer
downscaling,Awesome-AI4Earth: a curated list of machine learning in Earth System, especially for weather and climate.
User: taohan10200
downscaling,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.
User: zali2-ta
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