Abstract
Satellite precipitation products are widely used in different domain, in area where there is a lack in observation. These have different spatio-temporal resolutions consequently resulting in different precipitation amounts depending on the product. The present study validates three satellite products, namely the Climate Hazard group Infrared Precipitation with Stations (CHIRPS), the Climate Research Unit (CRU) and the Global Precipitation Climatology Project (GPCP) over Bandama and Mono river basins for 1981-2005 and 1981-2016 respectively by comparing them to the observation precipitation of the basin. The available studies are focused on the regional scale but not on a watershed scale for hydrological studies. The analysis reveals that all the products are strongly correlated to each other as well as to the observed data at basin level. The Lamb coefficient test shows that most all the chosen basin namely Bandama and Mono presents the same climatic indices. All the products present the same variability and trend as the observation at basins scale. By comparing those products to observation, CHIRPS product following by GPCP give the lowest mean absolute error (MAE) at annual and seasonal time scales while CHIRPS is followed by CRU at monthly scale. Overall, all products overestimate the precipitation at Bandama basin while they underestimate it over Mono river basin. The comparison over 1981-2017 period of the total annual precipitation increasing southern ward (from Sahel to the coastal zone) for all the three studied products which varies from 300 mm to 2400 mm/year. All the three products are not significantly different from one another and they all highlight the same areas of hotspot rainfall in the region. The same conclusion is made at monthly and seasonal scales. Therefore, any of these products especially CHIRPS can be used for study in this region due to its lowest bias and MAE.
Highlights
Precipitation is the main component of the global water cycle and energy balance as well as a major contributor to extremes climate events crucial factor in water resources management [1]
This study aims to evaluate the skills of three satellite and reanalysis datasets (CHIRPS, Climate Research Unit (CRU) and Global Precipitation Climatology Project (GPCP)) in reproducing monthly, seasonal and annual precipitation climatology at two river basins scale
For both river basins the lowest bias (Mean error) is given by the Climate Hazard group Infrared Precipitation with Stations (CHIRPS) product while the highest is obtained from GPCP
Summary
Precipitation is the main component of the global water cycle and energy balance as well as a major contributor to extremes climate events crucial factor in water resources management [1]. Precipitation is a vital component of how water moves through earth’s water cycle, connecting the ocean, land, and atmosphere. Knowing where it rains, how much it rains and the character of the falling rain, snow or hail allows scientists to better understand precipitation’s impact on streams, rivers, surface runoff and groundwater. Frequent and detailed measurements help scientists make models of and determine changes in Earth’s water cycle All this is possible thanks to observations. Observations are essential to climate monitoring since they are the basis for: 1) assessing century-scale trends; 2) the validation of climate models; 3) the detection and attribution of changes in climate at regional scale [1].
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