Still all playing out like '19, '20, and '21.
Try a mental exercise, close your eyes.
Think of cold, snow, a wintery landscape. Think of the cityscapes of Vancouver, Seattle, Portland, and Eugene, and picture them with just globs of snow heaped over them. Keep your eyes closed and imagine maps filled with those pepto pinks and purples. Imagine that arctic air spilling over Vancouver Island and making its way back to Washington and Oregon. Imagine regional blizzard warnings and snow cov
Yeah, the delta on Monday will be telling with Graphcast and Spire. People forget (or don't know) that both models only work off of initialization data and then use various degrees of image based machine learning at very high terrain definitions. Its effectively taking those analog lists to the next level. This means though that there is no real condition modeling taking place, but rather a "I think this feature will develop here because it typically does when these patterns at these levels are
WxData 2.3 has been released on conda-forge and pypi.
conda install wxdata (conda-forge) OR pip install wxdata (pypi)
WxData 2.3 has several new end-to-end weather data clients geared for use in automated Python scripts.
WxData (as of version 2.3) consists of end-to-end clients for 20 weather models (& re-maps the GRIB keys into plain-language), USDA/FEMS Fuels Data, METAR Observations, NEXRAD II Radar Data, Observed Sounding Data & 2 API Interfaces (Open-Meteo & Air Now).
WxData also has tools to help users query, transform and fill gaps in weather data as well as help users set up automated workflows in Python.
These are the new clients found in WxData 2.3:
Canadian Global Deterministic Prediction System (GDPS)
Canadian Regional Deterministic Prediction System (RDPS)
Canadian High Resolution Deterministic Prediction System (HRDPS)
Canadian Global Ensemble Prediction System (GEPS)
Canadian Seasonal to Inter-annual Prediction System (CanSIPS) Forecasts
Canadian Seasonal to Inter-annual Prediction System (CanSIPS) Hindcasts
The cansips_hindcast() data client automates the methodology described here: Readme cansips datamart en - MSC Open Data / Données ouvertes du SMC
WxData 2.3 Release Notes: Release WxData 2.3 Released · edrewitz/WxData
WxData Documentation & Jupyter Lab Tutorials: Home · edrewitz/WxData Wiki
WxData GitHub Repository: edrewitz/WxData: A Python package of end-to-end weather data clients & raw data clients with VPN/Proxy Server support, data processors that decode variable keys from GRIB format into a plain-language format & various tools for assisting Python automated workflows, querying meteorological datasets and filling gaps in meteorological data.
Graphics Created Using Data Clients From WxData 2.3 (See Jupyter Lab Tutorials)
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