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Template:Weather box/colp can be used to produce a background color in a table cell, based off a given number. Insert {{Weather box/colp|0}}, with a number from the mm in a 30-day month table above as the first parameter, into a style statement. Example
A table that displays climate trends for a specific location. Template parameters [Edit template data] This template prefers block formatting of parameters. Parameter Description Type Status width width The width of the template - use "auto" for auto width, enter a percentage for custom scaling, remove for default scaling. Default 100% Example auto String optional collapsed collapsed Enter ...
Global Precipitation Measurement (GPM) is a joint mission between JAXA and NASA as well as other international space agencies to make frequent (every 2–3 hours) observations of Earth's precipitation. It is part of NASA's Earth Systematic Missions program and works with a satellite constellation to provide full global
The initial version of Global Historical Climatology Network was developed in the summer of 1992. [3] This first version, known as Version 1 was a collaboration between research stations and data sets alike to the World Weather Records program and the World Monthly Surface Station Climatology from the National Center for Atmospheric Research. [4]
Climate charts provide an overview of the climate in a particular place. The letters in the top row stand for months: January, February, etc. The bars and numbers convey the following information: The blue bars represent the average amount of precipitation (rain, snow etc.) that falls in each month.
Microsoft's Aurora system offers global 10-day weather and 5-day air pollution (CO 2, NO, NO 2, SO 2, O 3, and particulates) forecasts with claimed accuracy similar to physics-based models, but at orders-of-magnitude lower cost. Aurora was trained on more than a million hours of data from six weather/climate models. [83] [84]
The SPEI accounts not only for precipitation deficit but also for the role of the increased atmospheric evaporative demand on drought severity. [5] Evaporative demand is particularly dominant during periods of precipitation deficit. The SPEI calculation requires long-term and high-quality precipitation and atmospheric evaporative demand datasets.
Weather reconnaissance aircraft, such as this WP-3D Orion, provide data that is then used in numerical weather forecasts.. The atmosphere is a fluid.As such, the idea of numerical weather prediction is to sample the state of the fluid at a given time and use the equations of fluid dynamics and thermodynamics to estimate the state of the fluid at some time in the future.