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How to Create a Precipitation Time Series Graph using Google Earth Engine
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In this tutorial, i will present how to create a precipitation times series graph using Google Earth Engine.
he Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a quasi-global rainfall data set. As its title suggests it combines data from real-time observing meteorological stations with infra-red data to estimate precipitation. The data set runs from 1981 to the near present.
CHIRPS incorporates 0.05° resolution satellite imagery with in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring. Since 1999, U.S. Geological Survey (USGS) and CHG scientists, supported by funding from the U.S. Agency for International Development (USAID), the National Aeronautics and Space Administration (NASA), and the National Oceanic and Atmospheric Administration (NOAA), have been developing techniques for producing rainfall maps, especially where surface data is sparse. The creation of CHIRPS has supported drought monitoring efforts by the USAID Famine Early Warning Systems Network.
There are two main data sets. The first is quasi-global and covers the whole world from 50°N to 50°S. The second covers Africa and parts of the Middle-East. It covers the area from 40°N to 40°S and from 20°W to 55°E. The global data set has data on a 0.05° grid at monthly, pentad and daily times steps. This is equivalent to 31 km2. The ‘Africa’ data set also includes data at a 0.10° grid at a 6-hour time step.
WRA has the complete archive of CHIRPS daily and sub-daily data for 1981-2019, and has developed a software suite to facilitate extraction and analysis for user-defined polygons such as river basins.
#GEE #remotesensing #chirps #Precipitation #googleearthengine #gis #rainfall #climatedata #graph #googleearthenginetutorials
#Code Script
Google Earth Engine Code Script
he Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a quasi-global rainfall data set. As its title suggests it combines data from real-time observing meteorological stations with infra-red data to estimate precipitation. The data set runs from 1981 to the near present.
CHIRPS incorporates 0.05° resolution satellite imagery with in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring. Since 1999, U.S. Geological Survey (USGS) and CHG scientists, supported by funding from the U.S. Agency for International Development (USAID), the National Aeronautics and Space Administration (NASA), and the National Oceanic and Atmospheric Administration (NOAA), have been developing techniques for producing rainfall maps, especially where surface data is sparse. The creation of CHIRPS has supported drought monitoring efforts by the USAID Famine Early Warning Systems Network.
There are two main data sets. The first is quasi-global and covers the whole world from 50°N to 50°S. The second covers Africa and parts of the Middle-East. It covers the area from 40°N to 40°S and from 20°W to 55°E. The global data set has data on a 0.05° grid at monthly, pentad and daily times steps. This is equivalent to 31 km2. The ‘Africa’ data set also includes data at a 0.10° grid at a 6-hour time step.
WRA has the complete archive of CHIRPS daily and sub-daily data for 1981-2019, and has developed a software suite to facilitate extraction and analysis for user-defined polygons such as river basins.
#GEE #remotesensing #chirps #Precipitation #googleearthengine #gis #rainfall #climatedata #graph #googleearthenginetutorials
#Code Script
Google Earth Engine Code Script
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