The MSG Technique: Improving Commercial Microwave Link Rainfall Intensity by Using Rain Area Detection from Meteosat Second Generation

Commercial microwave link (MWL) used by mobile telecom operators for data transmission can provide hydro-meteorologically valid rainfall estimates according to studies in the past decade. For the first time, this study investigated a new method, the MSG technique, that uses Meteosat Second Generatio...

Full description

Bibliographic Details
Main Authors: Kingsley K. Kumah, Joost C. B. Hoedjes, Noam David, Ben H. P. Maathuis, H. Oliver Gao, Bob Z. Su
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/16/3274
_version_ 1797522135929847808
author Kingsley K. Kumah
Joost C. B. Hoedjes
Noam David
Ben H. P. Maathuis
H. Oliver Gao
Bob Z. Su
author_facet Kingsley K. Kumah
Joost C. B. Hoedjes
Noam David
Ben H. P. Maathuis
H. Oliver Gao
Bob Z. Su
author_sort Kingsley K. Kumah
collection DOAJ
description Commercial microwave link (MWL) used by mobile telecom operators for data transmission can provide hydro-meteorologically valid rainfall estimates according to studies in the past decade. For the first time, this study investigated a new method, the MSG technique, that uses Meteosat Second Generation (MSG) satellite data to improve MWL rainfall estimates. The investigation, conducted during daytime, used MSG optical (VIS0.6) and near IR (NIR1.6) data to estimate rain areas along a 15 GHz, 9.88 km MWL for classifying the MWL signal into wet–dry periods and estimate the baseline level. Additionally, the MSG technique estimated a new parameter, wet path length, representing the length of the MWL that was wet during wet periods. Finally, MWL rainfall intensity estimates from this new MSG and conventional techniques were compared to rain gauge estimates. The results show that the MSG technique is robust and can estimate gauge comparable rainfall estimates. The evaluation scores every three hours of RMSD, relative bias, and r<sup>2</sup> based on the entire evaluation period results of the MSG technique were 2.61 mm h<sup>−1</sup>, 0.47, and 0.81, compared to 2.09 mm h<sup>−1</sup>, 0.04, and 0.84 of the conventional technique, respectively. For convective rain events with high intensity spatially varying rainfall, the results show that the MSG technique may approximate the actual mean rainfall estimates better than the conventional technique.
first_indexed 2024-03-10T08:25:09Z
format Article
id doaj.art-299f65e95f614787864464675579c104
institution Directory Open Access Journal
issn 2072-4292
language English
last_indexed 2024-03-10T08:25:09Z
publishDate 2021-08-01
publisher MDPI AG
record_format Article
series Remote Sensing
spelling doaj.art-299f65e95f614787864464675579c1042023-11-22T09:34:57ZengMDPI AGRemote Sensing2072-42922021-08-011316327410.3390/rs13163274The MSG Technique: Improving Commercial Microwave Link Rainfall Intensity by Using Rain Area Detection from Meteosat Second GenerationKingsley K. Kumah0Joost C. B. Hoedjes1Noam David2Ben H. P. Maathuis3H. Oliver Gao4Bob Z. Su5Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AE Enschede, The NetherlandsFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AE Enschede, The NetherlandsAtmosCell, Tel Aviv, IsraelFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AE Enschede, The NetherlandsThe School of Civil and Environmental Engineering, Cornell University, Ithaca, NY 14853, USAFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AE Enschede, The NetherlandsCommercial microwave link (MWL) used by mobile telecom operators for data transmission can provide hydro-meteorologically valid rainfall estimates according to studies in the past decade. For the first time, this study investigated a new method, the MSG technique, that uses Meteosat Second Generation (MSG) satellite data to improve MWL rainfall estimates. The investigation, conducted during daytime, used MSG optical (VIS0.6) and near IR (NIR1.6) data to estimate rain areas along a 15 GHz, 9.88 km MWL for classifying the MWL signal into wet–dry periods and estimate the baseline level. Additionally, the MSG technique estimated a new parameter, wet path length, representing the length of the MWL that was wet during wet periods. Finally, MWL rainfall intensity estimates from this new MSG and conventional techniques were compared to rain gauge estimates. The results show that the MSG technique is robust and can estimate gauge comparable rainfall estimates. The evaluation scores every three hours of RMSD, relative bias, and r<sup>2</sup> based on the entire evaluation period results of the MSG technique were 2.61 mm h<sup>−1</sup>, 0.47, and 0.81, compared to 2.09 mm h<sup>−1</sup>, 0.04, and 0.84 of the conventional technique, respectively. For convective rain events with high intensity spatially varying rainfall, the results show that the MSG technique may approximate the actual mean rainfall estimates better than the conventional technique.https://www.mdpi.com/2072-4292/13/16/3274commercial microwave linkMeteosat Second Generationrainfall intensityrain area detection
spellingShingle Kingsley K. Kumah
Joost C. B. Hoedjes
Noam David
Ben H. P. Maathuis
H. Oliver Gao
Bob Z. Su
The MSG Technique: Improving Commercial Microwave Link Rainfall Intensity by Using Rain Area Detection from Meteosat Second Generation
Remote Sensing
commercial microwave link
Meteosat Second Generation
rainfall intensity
rain area detection
title The MSG Technique: Improving Commercial Microwave Link Rainfall Intensity by Using Rain Area Detection from Meteosat Second Generation
title_full The MSG Technique: Improving Commercial Microwave Link Rainfall Intensity by Using Rain Area Detection from Meteosat Second Generation
title_fullStr The MSG Technique: Improving Commercial Microwave Link Rainfall Intensity by Using Rain Area Detection from Meteosat Second Generation
title_full_unstemmed The MSG Technique: Improving Commercial Microwave Link Rainfall Intensity by Using Rain Area Detection from Meteosat Second Generation
title_short The MSG Technique: Improving Commercial Microwave Link Rainfall Intensity by Using Rain Area Detection from Meteosat Second Generation
title_sort msg technique improving commercial microwave link rainfall intensity by using rain area detection from meteosat second generation
topic commercial microwave link
Meteosat Second Generation
rainfall intensity
rain area detection
url https://www.mdpi.com/2072-4292/13/16/3274
work_keys_str_mv AT kingsleykkumah themsgtechniqueimprovingcommercialmicrowavelinkrainfallintensitybyusingrainareadetectionfrommeteosatsecondgeneration
AT joostcbhoedjes themsgtechniqueimprovingcommercialmicrowavelinkrainfallintensitybyusingrainareadetectionfrommeteosatsecondgeneration
AT noamdavid themsgtechniqueimprovingcommercialmicrowavelinkrainfallintensitybyusingrainareadetectionfrommeteosatsecondgeneration
AT benhpmaathuis themsgtechniqueimprovingcommercialmicrowavelinkrainfallintensitybyusingrainareadetectionfrommeteosatsecondgeneration
AT holivergao themsgtechniqueimprovingcommercialmicrowavelinkrainfallintensitybyusingrainareadetectionfrommeteosatsecondgeneration
AT bobzsu themsgtechniqueimprovingcommercialmicrowavelinkrainfallintensitybyusingrainareadetectionfrommeteosatsecondgeneration
AT kingsleykkumah msgtechniqueimprovingcommercialmicrowavelinkrainfallintensitybyusingrainareadetectionfrommeteosatsecondgeneration
AT joostcbhoedjes msgtechniqueimprovingcommercialmicrowavelinkrainfallintensitybyusingrainareadetectionfrommeteosatsecondgeneration
AT noamdavid msgtechniqueimprovingcommercialmicrowavelinkrainfallintensitybyusingrainareadetectionfrommeteosatsecondgeneration
AT benhpmaathuis msgtechniqueimprovingcommercialmicrowavelinkrainfallintensitybyusingrainareadetectionfrommeteosatsecondgeneration
AT holivergao msgtechniqueimprovingcommercialmicrowavelinkrainfallintensitybyusingrainareadetectionfrommeteosatsecondgeneration
AT bobzsu msgtechniqueimprovingcommercialmicrowavelinkrainfallintensitybyusingrainareadetectionfrommeteosatsecondgeneration