Blot comment in WRF

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Aug 6th, 2022
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How to blot comment in WRF

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good Dan welcome to the channel in this short video weamp;#39;re going to show you how to figure out why that machine blue screened there are two ways to do this one is to use the windows debug tool problem with that was you didnamp;#39;t have access to it until just recently because Microsoft kept it to themselves so weamp;#39;re going to go over that and thatamp;#39;s really the focus of this but if you donamp;#39;t want to go into that you could just start off with the reliability history and it might tell you so click Start type in reliability history and whether this is on a server or a PC as long as itamp;#39;s I think itamp;#39;s 2016 or newer so you can go through here and you can see why things crashed but blue screens are often not captured in this and that is problematic so what you have to do is use the debug tool that Microsoft used to have available only to itself when you have a machine crash it usually creates a dump file and that dump file is stored in C windows

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Python libraries such as Matplotlib, Cartopy, and Basemap can be used to create a wide range of visualizations from the WRF output data. Xarray is another popular Python library that can be used to handle and visualize multi-dimensional datasets.
GitHub - NCAR/wrf-python: A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model. A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model. -
The spatial resolutions are 27 km, 9 km, 3 km and 1 km for domains D01, D02, D03 and D04, respectively. The radio- metric station is located at the center of all domains.
The Weather Research and Forecasting (WRF) Model is a state of the art mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications.
The Advanced Research WRF (ARW) features a dynamical core that solves the fully compressible non-hydrostatic equations using terrain-following hydrostatic-pressure vertical coordinates and the Arakawa C-grid staggering spatial discretization for variables (Skamarock et al., 2008).

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