The Permian–Triassic extinction event, often referred to as the "Great Dying," is the most significant mass extinction event in Earth's history, occurring approximately 252 million years ago at the boundary between the Permian and Triassic geological periods. This event is estimated to have resulted in the extinction of about 90-96% of all marine species and approximately 70% of terrestrial vertebrate species.
An Automatic Weather Station (AWS) is a meteorological monitoring station that collects and records weather data automatically without the need for human intervention. These stations are equipped with various sensors that measure a range of atmospheric parameters such as: 1. **Temperature**: Monitors air temperature. 2. **Humidity**: Measures the moisture content in the air. 3. **Wind Speed and Direction**: Captures wind velocity and the direction from which it originates.
The Hazardous Inflight Weather Advisory Service (HIWAS) is a program developed by the Federal Aviation Administration (FAA) in the United States to provide pilots with critical information about hazardous weather conditions that may impact flight safety. It is particularly designed to deliver timely and relevant information to pilots flying in airspace where traditional weather reporting may not be as readily available.
A High Frequency Data Link (HFDL) is a communication technology primarily used for the transmission of data over high-frequency (HF) radio frequencies. HFDL systems are particularly useful in aviation and maritime applications, as they enable reliable, long-distance communication in situations where traditional communication methods (such as satellite links or terrestrial networks) may not be feasible or reliable.
ROFOR typically stands for "Robot Framework" and "Robot" (often referred to collectively in software testing and automation contexts). However, if you were referring to something else, please provide additional context or specify the field or subject area, and I'll do my best to give you the relevant information!
TAMDAR stands for "Tropospheric Atmospheric Profiling using Aircraft-based Data Relay." It refers to a system that collects atmospheric data from commercial aircraft during their flights. The primary aim of TAMDAR is to enhance weather observation and forecasting by providing real-time data on temperature, humidity, winds, and other atmospheric parameters. The data collected by TAMDAR can improve the accuracy of weather models and contribute to better understanding of weather patterns, particularly in regions where ground-based weather stations are sparse.
Meteoalarm is an online platform and service that provides real-time weather warnings and alerts for severe weather conditions across Europe. It was developed by the European Meteorological Services to enhance public safety by informing citizens about potential weather hazards such as storms, heavy rainfall, snow, heatwaves, floods, and other extreme conditions. The platform aggregates information from various national meteorological services and presents it in a unified format, often using a color-coded system to indicate the severity of weather warnings.
Weather warfare refers to the use of weather modification techniques for military purposes, often with the intention of manipulating weather conditions to gain a strategic advantage in conflict. The concept encompasses various methods of altering weather patterns, such as cloud seeding, which aims to stimulate precipitation, or other technologies that might influence temperature, visibility, or atmospheric conditions.
Ceilometer is an open-source project that is part of the OpenStack cloud computing platform. It is designed for telemetry and monitoring purposes, allowing users to collect and store metering data from various OpenStack services. Ceilometer helps administrators and developers understand resource usage, monitor performance, and implement billing or chargeback models based on the consumption of cloud resources.
**knitr** is an R package designed for dynamic report generation in R. It allows users to integrate R code with text to create high-quality reports in various formats, including PDF, HTML, and Word documents. The essence of knitr is to allow for the seamless integration of code and its output within a report, making it useful for reproducible research, data analysis, and statistical reporting.
Mike's Weather Page is a popular online resource and website created by Mike B. (also known as Mike's Weather Page) focused on weather tracking, particularly in the context of tropical weather systems, hurricanes, and severe weather events. The site features a variety of weather-related information, including real-time updates, satellite imagery, forecasts, models, and discussions about ongoing weather phenomena.
NOAA's Environmental Real-time Observation Network (ERON) is a system designed to collect and disseminate real-time environmental data. The network is part of the National Oceanic and Atmospheric Administration (NOAA) and is focused on enhancing the understanding of environmental conditions, particularly in relation to weather, climate, and various natural hazards. ERON integrates a variety of observational tools and technologies to monitor atmospheric, oceanic, and terrestrial conditions.
The NOAA Observing System Architecture (OSA) is a framework developed by the National Oceanic and Atmospheric Administration (NOAA) to enhance and integrate its diverse observational systems. The OSA aims to ensure that NOAA has a comprehensive, coordinated approach to observing Earth's atmosphere, oceans, and terrestrial environments.
Oklahoma Mesonet is a comprehensive network of environmental monitoring stations across the state of Oklahoma, designed to collect real-time weather and climate data. Established in the mid-1990s, the Mesonet is a collaborative effort primarily between the University of Oklahoma and the Oklahoma Climatological Survey. The network consists of over 100 automated weather stations that measure a variety of meteorological variables, including temperature, humidity, precipitation, wind speed and direction, soil temperature, and soil moisture.
Skywarn is a volunteer program that encourages the public to report severe weather conditions, such as thunderstorms, tornadoes, floods, and other hazardous weather phenomena, to the National Weather Service (NWS) in the United States. The goal of Skywarn is to improve weather monitoring and warning capabilities by gathering real-time information from trained volunteer spotters. Participants in the Skywarn program receive training from NWS meteorologists on topics such as identifying severe weather, reporting techniques, and safety measures.
Skywarn Europe is a volunteer program focused on weather observation and reporting in Europe, part of the broader Skywarn network that originated in the United States. It aims to enhance public safety by involving trained volunteers (often amateur meteorologists and weather enthusiasts) in observing and reporting severe weather conditions, such as thunderstorms, tornadoes, and heavy snowfall. Volunteers are typically educated on identifying and reporting various weather phenomena and work in coordination with national meteorological services and agencies to provide real-time data.
The heat index, often referred to as the "apparent temperature," is a measure that combines air temperature and relative humidity to determine the perceived temperature or how hot it feels to the human body. High humidity can hinder the body's ability to cool itself through sweating, making it feel hotter than the actual air temperature. The heat index is particularly important during hot weather, as it provides a more accurate representation of heat stress on the body.
A weather drone, often referred to as a meteorological drone, is an unmanned aerial vehicle (UAV) specifically designed for collecting atmospheric data and monitoring weather conditions. These drones are equipped with various sensors and instruments that allow them to measure parameters such as temperature, humidity, pressure, wind speed and direction, and atmospheric gas concentrations. **Key Features and Functions of Weather Drones:** 1.
GC-content, or guanine-cytosine content, refers to the percentage of nitrogenous bases in a DNA or RNA molecule that are either guanine (G) or cytosine (C). It is calculated using the formula: \[ \text{GC content} = \left( \frac{G + C}{A + T + G + C} \right) \times 100 \] where A is adenine, and T is thymine (in DNA).
A Terminal Aerodrome Forecast (TAF) is a weather forecast specifically designed for the needs of aviation at an airport or aerodrome. It provides expected weather conditions within a specified timeframe, typically covering a 24 to 30-hour period, and is issued four times a day. The TAF includes information on various weather elements, such as: - Wind direction and speed - Visibility - Weather phenomena (like rain, snow, fog, etc.

Pinned article: Introduction to the OurBigBook Project

Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
We have two killer features:
  1. topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculus
    Articles of different users are sorted by upvote within each article page. This feature is a bit like:
    • a Wikipedia where each user can have their own version of each article
    • a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
    This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.
    Figure 1.
    Screenshot of the "Derivative" topic page
    . View it live at: ourbigbook.com/go/topic/derivative
  2. local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:
    This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
    Figure 5. . You can also edit articles on the Web editor without installing anything locally.
    Video 3.
    Edit locally and publish demo
    . Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact