Comparative analysis between precipitation data generated by the “Climate Prediction Center – CPC” versus observed data for different biomes in Brazil
DOI:
https://doi.org/10.5902/2179460X81776Keywords:
Micrometeorological towers, Rainfall, In situ measurementsAbstract
With the need to better understand the biosphere-atmosphere interaction in many micrometeorological sites spread across different biomes, there is an increasing need to use estimated rainfall data, in the absence of this in the periods of analysis of the sites. As a result, this study aims to analyze the performance of precipitation data from the Climate Prediction Center (CPC) for regions of different biomes (Amazon and Caatinga), comparing with data observed in the nearest conventional INMET meteorological stations. In this work, we use accumulated daily rainfall data provided by the CPC/NCEP/NOAA (Climate Prediction Center/National Centers for Environmental Prediction/national Oceanic and Atmospheric Administration), which has a spatial resolution of 0.5°x0.5°, in different periods for each site. Analyzes were performed using statistical techniques (boxplot, Pearson’s correlation) comparing with observed precipitation data. The analysis showed that, despite the CPC data having a good representation of the seasonality of precipitation in the locations, its statistical representativeness varies greatly from one location to another, making the use of CPC data need to undergo high refinement and measurement before being used. rated as representative in certain areas, such as the K83 site and the Serra Talhada site.
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