An Assessment of Spatial Distribution of Four Different Satellite-Derived Rainfall Estimations and Observed Precipitation over Bangladesh ()
ABSTRACT
Given that precipitation is a major component of the
earth’s water and energy cycles, reliable information on the monthly spatial
distribution of precipitation is also crucial for climate science,
climatological water-resource research studies,
and for the evaluation of regional model simulations. In this paper, four
satellite derived precipitation datasets: Climate Prediction Center MORPHING (CMORPH), Tropical Rainfall Measuring
Mission (TRMM), the Precipitation Estimation Algorithm from Remotely-Sensed
Information using an Artificial Neural
Network (PERSIANN), and the global Satellite Mapping of Precipitation
(GSMaP) are spatially analyzed and
compared with the observed precipitation data provided by Bangladesh
Meteorological Department (BMD). For this study, the different precipitations
data sets are spatially analyzed from 2nd May 2019 to 4th May 2019 at the time of Cyclone “FANI”. It is found that the satellite derived precipitation datasets are reasonably matched with the observed but slightly
different.
Share and Cite:
Roy, D. , Hassan, S. and Sultana, S. (2020) An Assessment of Spatial Distribution of Four Different Satellite-Derived Rainfall Estimations and Observed Precipitation over Bangladesh.
Journal of Agricultural Chemistry and Environment,
9, 195-205. doi:
10.4236/jacen.2020.94016.
Cited by
No relevant information.