[SAMPLE] CustomWeather API | Severe Weather Data | Global Severe Weather Advisories For 85,000 ...
收藏Databricks2024-05-09 收录
下载链接:
https://marketplace.databricks.com/details/d31d7b05-ef5f-442f-9f55-a49b924497f5/CustomWeather_SAMPLE-CustomWeather-API-Severe-Weather-Data-Global-Severe-Weather-Advisories-For-85,000-
下载链接
链接失效反馈官方服务:
资源简介:
Features reports based on forecast severe weather conditions. such as high winds, blizzard conditions, possible severe thunderstorms, hurricane conditions, and heavy snow. Advisories are available for all 85,000 worldwide locations in CustomWeather’s global weather database. The severe weather data advisories are updated four times per day.
The product returns severe weather advisories based on the forecast for the next six or 24 hours or five days broken down into segments of the day (Morning, Afternoon, Evening, Overnight). Global Weather Data.
Custom alerts can be generated for any specific weather criteria, either in the past based on climate data or in the future based on weather forecasts. Weather alerts can also be generated that incorporate both past and future weather data. CustomWeather's custom alerts can be sent out via email to specific user groups, via FTP, or via SMS using carrier email-to-SMS transmission.
This severe weather data represents a part of CustomWeather's trove of historical, real-time, and forecast data sets covering the entire life cycle of weather - past, present, and future.
The Global Severe Weather Advisories includes information included in the following data categories: Environmental Data, Event Data, Geographic Data, Global Weather Data, Insurance Data, Lightning Data, Natural Disasters Data, News Data, Places Data, Precipitation Data, Rainfall Data, Severe Weather Data, Storm Data, Temperature Data, and Wind Data.
The backbone of CustomWeather's forecasting arm is our proven, high-resolution model, the CustomWeather 100 or CW100. The CW100 Model is based on physics, not statistics or airport observations. As a result, it can achieve significantly better accuracy than statistical models, especially for non-airport locations. While other forecast models are designed to forecast the entire atmosphere, the CW100 greatly reduces computational requirements by focusing entirely on conditions near the ground. This reduction of computations allows the model to resolve additional physical processes near the ground that are not resolved by other models. It also allows the CW100 to operate at a much higher resolution, typically 100x finer than standard models and other gridded forecasts.
提供机构:
CustomWeather



