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A visualisation of the South Asian Monsoon based on the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) 30+ year quasi-global rainfall dataset, analysed and visualised using Google Earth Engine. Annual average monsoon precipitation in India over 110 years. The long-term average has been 899 millimeters of precipitation. [1]
However, understanding tropical precipitation is important for weather and climate prediction, as this precipitation contains three-fourths of the energy that drives atmospheric wind circulation. [3] Prior to TRMM, the distribution of rainfall worldwide was known to only a 50% of certainty. [4] The concept for TRMM was first proposed in 1984.
Average monthly precipitation (in mm) for selected cities in Asia ; City Country Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Ref. Mawsynram: India: 133.0 8.3 15.7 27.4 29.8 26.0 5.7
Data is provided at multiple "levels" of processing, from raw satellite measurements to best-estimate global precipitation maps using combinations of all the constellation observations and other meteorological data. All data from the mission is made freely available to the public on NASA websites. [7]
Animated visualisation of the South Asian Monsoon based on the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) 30+ year quasi-global rainfall dataset, analyzed and visualized using Google Earth Engine.
The tropical zones have the highest number of storm events followed by the temperate climate. In a recent study, [13] researchers from 63 countries combined 30-minutes rainfall data in order to estimate the global rainfall erosivity (an index combining the amount, frequency and intensity of rainfall). The arid and cold climate zones have very ...
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]
PERSIANN, "Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks", [1] [2] is a satellite-based precipitation retrieval algorithm that provides near real-time rainfall information. The algorithm uses infrared (IR) satellite data from global geosynchronous satellites as the primary source of precipitation ...