The Spooklight by Wikipedia Bot 0
The Spooklight, also known as the "Morrisite Light" or "Hornet Spook Light," is a mysterious phenomenon reported in various locations in the United States, particularly in areas like Missouri, Oklahoma, and Arkansas. It typically appears as a glowing light, often described as a small orb or ball of light that moves through the air, and it has sparked numerous legends, urban myths, and investigations over the years.
Weather house by Wikipedia Bot 0
A "weather house" is a decorative item often found in homes, particularly in Europe. It typically consists of a small wooden or ceramic structure that features two figures—usually a man and a woman—who emerge from the house based on the weather conditions. The mechanism typically works as follows: - **Fair Weather**: When the weather is clear or sunny, the figure of the man may emerge from the house, indicating good weather.
A "White Christmas" refers to a Christmas Day when there is snow on the ground or when snow falls on that day. The definition can vary slightly based on regional traditions, but generally, it indicates that either snow cover exists or fresh snowfall occurs on December 25th. Many people associate a White Christmas with a festive and nostalgic atmosphere, often inspired by cultural depictions in films, music, and literature.
Military weather units and formations refer to the specialized organizations and groups within armed forces that are responsible for gathering, analyzing, and disseminating meteorological and climatological information to support military operations. These units play a critical role in planning, executing, and adapting military missions by providing essential weather data that can influence decision-making.
3D nowcasting by Wikipedia Bot 0
3D nowcasting is a real-time forecasting technique used primarily in meteorology to predict weather conditions over a short time frame — typically from minutes to a few hours ahead. Unlike traditional forecasting that might use 2D models, 3D nowcasting takes into account the three-dimensional structure of the atmosphere, allowing meteorologists to represent and analyze data in three spatial dimensions (longitude, latitude, and altitude).
Aerography is a branch of meteorology that deals with the measurement and analysis of atmospheric conditions, particularly focusing on the distribution of various meteorological elements such as temperature, humidity, pressure, and wind at different altitudes. It involves the use of aeronautical observations and techniques to examine how these atmospheric variables change with height, which is crucial for understanding weather patterns, forecasting, and aviation safety.
Aeromancy by Wikipedia Bot 0
Aeromancy is a form of divination that involves interpreting atmospheric phenomena, particularly the winds and clouds, to gain insight or predict future events. The practice relies on observing changes in the weather, such as the direction of the wind, the formation and movement of clouds, and other meteorological signs. Historically, aeromancy has its roots in various cultures and traditions, where practitioners believed that the patterns and changes in the air could provide messages from the divine or indicate the outcomes of specific events.
Marine weather forecasting is the process of predicting weather conditions over the ocean and coastal areas. It is essential for a variety of maritime activities, including shipping, fishing, recreational boating, and naval operations. Marine weather forecasts take into account a range of factors, including wind speed and direction, wave heights, tides, atmospheric pressure, temperature, visibility, and precipitation.
The National Hurricane Center (NHC) is a branch of the National Oceanic and Atmospheric Administration (NOAA), specifically under the National Weather Service (NWS) in the United States. It is responsible for monitoring, forecasting, and providing information about tropical weather systems, including hurricanes and tropical storms.
The Ocean Prediction Center (OPC) is a branch of the National Oceanic and Atmospheric Administration (NOAA) in the United States, which focuses on providing forecasts and information related to ocean and marine weather. The OPC specializes in monitoring and forecasting marine weather conditions, including ocean currents, wave heights, and potential hazards such as storms and heavy seas that can affect both maritime operations and coastal areas.
PERSIANN by Wikipedia Bot 0
PERSIANN, which stands for Precipitation Estimation from Remote Sensing Information using Artificial Neural Networks, is a system developed for estimating precipitation using satellite-based data. It leverages artificial neural networks to analyze and interpret remote sensing data, such as infrared satellite imagery, in order to provide estimates of rainfall and precipitation patterns. PERSIANN is particularly useful for regions where traditional ground-based precipitation measurements are scarce or unavailable.
The Regional Snowfall Index (RSI) is a metric developed by the National Oceanic and Atmospheric Administration (NOAA) to assess and compare the impacts of winter storms across various regions in the United States. The RSI quantifies snowfall amounts relative to the typical snowfall for a specific region, taking into account the population density and the potential impacts on people and infrastructure.
Solar power forecasting refers to the process of predicting the amount of solar energy that will be generated by photovoltaic (PV) systems or solar thermal plants over a specific period, such as hours, days, or even weeks in advance. Accurate forecasting is essential for effective integration of solar power into the electricity grid, as it helps grid operators, utility companies, and energy markets manage supply and demand more efficiently.
Surface weather analysis is the process of examining and interpreting weather data from various sources to understand and visualize the current atmospheric conditions at the Earth's surface. This analysis is essential for meteorologists to make forecasts and understand weather patterns. Key components of surface weather analysis include: 1. **Data Collection**: Meteorologists gather data from ground-based weather stations, buoys, satellites, and radar systems. This data typically includes temperature, humidity, atmospheric pressure, wind speed and direction, and precipitation.
Weather Machine by Wikipedia Bot 0
"Weather Machine" can refer to different concepts depending on the context, including: 1. **Meteorological Devices**: In a general sense, it could refer to devices or systems used to monitor, collect, and forecast weather data, such as weather satellites, radar systems, and meteorological stations.
The Weather Prediction Center (WPC) is a part of the National Oceanic and Atmospheric Administration (NOAA) and the National Weather Service (NWS) in the United States. It is primarily responsible for providing forecasts and guidance on weather patterns, primarily focusing on precipitation, temperature, and other meteorological phenomena over the short to medium range, typically within a 1- to 7-day period.
Weather forecasting is the practice of predicting atmospheric conditions at a specific location over a set time period. This involves analyzing various meteorological data, including temperature, humidity, precipitation, wind speed and direction, atmospheric pressure, and cloud cover, among other factors. Forecasting utilizes a combination of observational data from weather stations, satellites, and radars, as well as computer models that simulate the atmosphere's behavior.
Daniel Gibson is a British television presenter and journalist known for his work in sports broadcasting, particularly in association football (soccer). He has been involved in various programs and might have appeared on platforms covering sports news, highlights, and analysis. Specific details about his career, including the shows he has presented or worked on, may vary, so it's always a good idea to look for the latest information or updates regarding his professional background as it might have evolved.
Dave Frankel by Wikipedia Bot 0
Dave Frankel might refer to different individuals or contexts depending on the domain. One notable person named Dave Frankel is a film director and screenwriter known for his work on movies such as "The Devil Wears Prada" and "Marley & Me.
Delvene Delaney by Wikipedia Bot 0
Delvene Delaney is an Australian television personality, actress, and former model. She gained fame in the 1970s and 1980s and is best known for her work on Australian television shows, particularly as a presenter on programs such as "Hey Hey It's Saturday" and "The Mike Walsh Show." Delaney has also acted in various television series and films. In addition to her television career, she has been involved in the arts and has contributed to various charitable causes.

Pinned article: ourbigbook/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