The Reliability of Satellite Precipitation Measurements in Singapore

The study and analysis of precipitation on the surface of the earth is important for understanding the hydrological cycle of the planet. Estimating precipitation variations across space and time has widespread applications in environmental monitoring, issuing drought warnings, and increasing agricultural productivity. In this paper, we quantify the reliability of satellite precipitation measurements compared to ground-based measurements using Singapore as a case study. We test the strength of the correlation and also the similarity between different satellite data sources with respect to our private and high resolution weather station. We obtain high degree of correlation between satellite- and ground- based measurements indicating the potential to provide reliable precipitation estimates. This is immensely useful as satellite data prove to offer us fantastic alternatives as compared to the point measurements from ground-based precipitation measurements.

Authors

Institutions

Publication Details

Published
2024-10-26
DOI
https://doi.org/10.1109/cisp-bmei64163.2024.10906134
Primary Topic
Precipitation Measurement and Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Reliability of Satellite Precipitation Measurements in Singapore

Soumyabrata Dev, Dhiraj Saharia, Yee Hui Lee
1 links
Precipitation Measurement and Analysis
article

The Reliability of Satellite Precipitation Measurements in Singapore

Soumyabrata Dev, Dhiraj Saharia, Yee Hui Lee
article en

Abstract

The study and analysis of precipitation on the surface of the earth is important for understanding the hydrological cycle of the planet. Estimating precipitation variations across space and time has widespread applications in environmental monitoring, issuing drought warnings, and increasing agricultural productivity. In this paper, we quantify the reliability of satellite precipitation measurements compared to ground-based measurements using Singapore as a case study. We test the strength of the correlation and also the similarity between different satellite data sources with respect to our private and high resolution weather station. We obtain high degree of correlation between satellite- and ground- based measurements indicating the potential to provide reliable precipitation estimates. This is immensely useful as satellite data prove to offer us fantastic alternatives as compared to the point measurements from ground-based precipitation measurements.

Tezpur University (IN), Science Foundation Ireland (IE), Nanyang Technological University (SG)
Science Foundation Ireland
Climate action
Openalex Percentile: Top 71%
Precipitation Measurement and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Reliability of Satellite Precipitation Measurements in Singapore — Soumyabrata Dev, Dhiraj Saharia, et al. · (2024) | TGRS Research Map | TGRS