• ClipSaver
ClipSaver
Русские видео
  • Смешные видео
  • Приколы
  • Обзоры
  • Новости
  • Тесты
  • Спорт
  • Любовь
  • Музыка
  • Разное
Сейчас в тренде
  • Фейгин лайф
  • Три кота
  • Самвел адамян
  • А4 ютуб
  • скачать бит
  • гитара с нуля
Иностранные видео
  • Funny Babies
  • Funny Sports
  • Funny Animals
  • Funny Pranks
  • Funny Magic
  • Funny Vines
  • Funny Virals
  • Funny K-Pop

Fire & Flood Prediction - Advanced Capabilities from NCAR скачать в хорошем качестве

Fire & Flood Prediction - Advanced Capabilities from NCAR 10 years ago

NCAR

UCAR

Flood (Disaster Type)

Wildfire (Disaster Type)

Flood Forecasting

Fire Prediction

Weather Forecasting (Software Genre)

Hydrology (Field Of Study)

Fire Science

National Center For Atmospheric Research (Organization)

Не удается загрузить Youtube-плеер. Проверьте блокировку Youtube в вашей сети.
Повторяем попытку...
Fire & Flood Prediction - Advanced Capabilities from NCAR
  • Поделиться ВК
  • Поделиться в ОК
  •  
  •  


Скачать видео с ютуб по ссылке или смотреть без блокировок на сайте: Fire & Flood Prediction - Advanced Capabilities from NCAR в качестве 4k

У нас вы можете посмотреть бесплатно Fire & Flood Prediction - Advanced Capabilities from NCAR или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:

  • Информация по загрузке:

Скачать mp3 с ютуба отдельным файлом. Бесплатный рингтон Fire & Flood Prediction - Advanced Capabilities from NCAR в формате MP3:


Если кнопки скачивания не загрузились НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу страницы.
Спасибо за использование сервиса ClipSaver.ru



Fire & Flood Prediction - Advanced Capabilities from NCAR

After working for more than a decade to tackle the challenges, NCAR and its research partners have developed the capability to build two new prediction systems — one for wildfires and one for floods. The systems can provide public safety officials with detailed, 12- to 24-hour predictions of these destructive disasters. The fire prediction system can also help guide tactics for prescribed burns. TO PREDICT WILDFIRES, scientists use a cutting-edge computer model developed at NCAR (CAWFE, the Coupled Atmosphere-Wildland Fire Environment) that simulates how weather drives fires and, in turn, how fires create their own weather. By restarting the model every 12 hours with the latest observations of the fire extent, including satellite data, scientists can issue 12- to 24-hour forecasts and update them regularly, as needed, for a long-lived fire. TO PREDICT FLOODS, scientists have built a system that relies on radar and stream gauge data, highly detailed computer model weather forecasts, advanced streamflow computer simulations, and a variety of statistical techniques. With detail never offered before, the system offers the potential to provide locally specific guidance for decision makers during the crucial 1-to 12-hour window, when there is still time for people to seek safety and for emergency management tools to be deployed. To create the flood prediction system, NCAR scientists worked with colleagues at the National Oceanic and Atmospheric Administration’s Earth System Research Laboratory, NASA, the Department of Energy, the Department of Defense, and partner universities. Updated March 20, 2015. NCAR is sponsored by the National Science Foundation. LEARN MORE Wildfire prediction: http://www2.ucar.edu/atmosnews/news/1... Flood prediction: http://www2.ucar.edu/atmosnews/perspe... (©UCAR. Video produced for NCAR/UCAR by Ryan Budnick, Legacy Mediaworks.) The University Corporation for Atmospheric Research manages the National Center for Atmospheric Research under sponsorship by the National Science Foundation. Any opinions, findings and conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Comments
  • Corals and ocean temperature extremes - a past to future view 5 years ago
    Corals and ocean temperature extremes - a past to future view
    Опубликовано: 5 years ago
    245
  • NCAR science briefing: Artificial intelligence and atmospheric science 4 years ago
    NCAR science briefing: Artificial intelligence and atmospheric science
    Опубликовано: 4 years ago
    1386
  • Boulder Peak Fire Burns Several Hundred Acres 11 months ago
    Boulder Peak Fire Burns Several Hundred Acres
    Опубликовано: 11 months ago
    1644
  • Colorado Voices: Building Back Better After the Marshall Fire 2 years ago
    Colorado Voices: Building Back Better After the Marshall Fire
    Опубликовано: 2 years ago
    4946
  • NCAR unveils new supercomputer naming contest winner: Derecho 4 years ago
    NCAR unveils new supercomputer naming contest winner: Derecho
    Опубликовано: 4 years ago
    618
  • LA fires burn out-of-control as thousands evacuated from homes | BBC News 5 months ago
    LA fires burn out-of-control as thousands evacuated from homes | BBC News
    Опубликовано: 5 months ago
    604602
  • Backpropagation, intuitively | Deep Learning Chapter 3 7 years ago
    Backpropagation, intuitively | Deep Learning Chapter 3
    Опубликовано: 7 years ago
    5269421
  • 'Marshall' Fire- Colorado's Most Destructive Wildfire 30 Dec 2021 3 years ago
    'Marshall' Fire- Colorado's Most Destructive Wildfire 30 Dec 2021
    Опубликовано: 3 years ago
    70889
  • CRISPR-Cas9 Genome Editing Technology 3 years ago
    CRISPR-Cas9 Genome Editing Technology
    Опубликовано: 3 years ago
    818195
  • Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition 7 years ago
    Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition
    Опубликовано: 7 years ago
    2726365

Контактный email для правообладателей: [email protected] © 2017 - 2025

Отказ от ответственности - Disclaimer Правообладателям - DMCA Условия использования сайта - TOS



Карта сайта 1 Карта сайта 2 Карта сайта 3 Карта сайта 4 Карта сайта 5