Welcome back to AWIPS Tips! With last month’s release of AWIPS, we have updated Unidata's public EDEX to include new GOES products like Geocolor, CloudSnow, and DebraDust. Check out this video below to see how you can create your own GOES geocolor plots using Jupyter Notebooks and python-awips without downloading any data.
AWIPS 18.2.1-1 is a major update to both EDEX and CAVE (on Windows, MacOS, and Centos7/RHEL7). The linux awips_install.sh script has been updated to remove old versions of CAVE and EDEX before installing new versions and backup some /awips2 configuration files.
In this edition of AWIPS Tips, we are answering questions about CAVE's local cache called caveData. It is helpful for both users and administrators of AWIPS to be familiar with caveData for troubleshooting and maintenance. Let's start by first addressing what caveData is.
In this edition of AWIPS Tips, we're exploring the CAVE Product Browser. Did you know that CAVE can access even more datasets than just those listed in the default menus? It can! The complete data inventory is exposed in a side window called the Product Browser. The Product Browser is an explorer-type tree structure that organizes products by category.
Welcome back to AWIPS Tips! Today we're talking about data access with python-awips. If you use Python and need data from an EDEX server, python-awips is the package you need. While there are many utilities of python-awips, today we're focusing on accessing model output. We will walk through a brief explanation of the methods needed in succession to create a final 2D array of temperature from the RAP13 model.
Welcome back to AWIPS Tips, where it's time to talk about time! Specifically, how CAVE handles displaying multiple datasets with different time intervals. CAVE uses the Time Match Basis feature to settle temporal disparities. Watch the video in this post to see it in action.
Welcome back to **AWIPS Tips**! Today's tip is all about many of the display capabilities in CAVE. When forecasting, you're looking at geographic scales ranging from hemispheric to local, and datasets such as surface and upper-air observations, numerically predicted forecasts from any number of different models, and potentially many others. In CAVE, you can create and label any number of editors to best suit your forecasting needs.
Welcome back to AWIPS Tips! Today we're exploring data visualization with CAVE. Forecasts aren't made from a single product alone-- it's the synthesis of many products that make forecasts robust. CAVE makes it easy to visualize many different datasets using overlays, visibility toggles, panes, and more.
Hi from the AWIPS team at Unidata, Tiffany Meyer and Shay Carter, and welcome to AWIPS Tips! AWIPS is a free meteorological software package for analyzing and displaying weather data. We're kicking off a biweekly blog series called AWIPS Tips, dedicated to highlighting the capabilities of Unidata AWIPS for research and education. Each series entry will showcase a small task or ability of AWIPS and be archived on the AWIPS Tips blog tag.
Today we're sharing an overview of the capabilities of AWIPS.
