GitHub

A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.

This package provides over 30 diagnostic calculations, several interpolation routines, and utilities to help with plotting via cartopy, basemap, or PyNGL. The functionality is similar to what is ...
GitHub

wrfplot.py

Python script to plot various WRF model output. Plots are saved as PNG. example usage: wrfplot.py --infile filename.nc --sfc --tunit C --ppn -punit mm --td Will plot surface chart and dewpoint in ...
Le Lézard

Foundational Launches Foundational IQ, Bringing Deterministic Code Analysis to Agent Deployment for Enterprise Data and AI Governance

Foundational, the data and AI governance platform, today announced the general availability of Foundational IQ, a powerful conversational and agentic interface that thinks, acts, and automates across ...
IEEE

Machine Learning-Based Wet Refractivity Prediction Through GNSS Troposphere Tomography for Ensemble Troposphere Conditions Forecasting

Abstract: This article introduces an innovative ensemble troposphere conditions forecasting method using wet refractivity within the context of Global Navigation Satellite System (GNSS) troposphere ...
shine.com

54,628 Python Jobs

Python Data Analyst Maijo Moto Maruti Suzuki 4 to 8 Yrs All India, Gurugram environmental data analysis atmospheric modeling WRF statistical analysis Python R database management Power BI project ...
Frontiers

Research on maize growth simulation and organ morphology co-modeling driven by multimodal data fusion

Coupling WRF meteorological model to optimize driving data: Directly incorporating temperature, radiation, wind speed, and other outputs from the mesoscale WRF model as driving fields for this model.