The inherent error in passive microwave rainfall estimation as inferred from the TRMM data

Dong B. Shin, Long S. Chiu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Analyses of data collected by the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) and Precipitation Radar (PR) show that the radiometric responses to rainfall profiles are sensitive to spatial inhomogeneities within the sensor field of view (FOV). The uncertainty, the so-called beam-filling error, Is associated with the variability In horizontal and vertical rainfall structures within a sensor FOV coupled to the non-linear relationship between brightness temperature (Tb) and rain rate (R). This study classifies the beam-filling error as an inherent error because the sensor itself has the non-unique radiometric signatures associated with the rainfall inhomogeneity. The specific forward models hardly overcome the error inherent in the sensor. It is also shown that lower resolution retrievals are less sensitive to the inherent error than the retrievals at higher resolutions due to the less non-linearity in the Tb-R relationship at lower resolutions.

Original languageEnglish
Title of host publication25th Anniversary IGARSS 2005
Subtitle of host publicationIEEE International Geoscience and Remote Sensing Symposium
Pages91-94
Number of pages4
Volume1
Publication statusPublished - 2005 Dec 1
Event2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 - Seoul, Korea, Republic of
Duration: 2005 Jul 252005 Jul 29

Other

Other2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005
CountryKorea, Republic of
CitySeoul
Period05/7/2505/7/29

Fingerprint

TRMM
Rain
Microwaves
sensor
rainfall
field of view
inhomogeneity
Sensors
brightness temperature
nonlinearity
Image sensors
radar
Luminance
Radar
microwave
Temperature

All Science Journal Classification (ASJC) codes

  • Software
  • Geology

Cite this

Shin, D. B., & Chiu, L. S. (2005). The inherent error in passive microwave rainfall estimation as inferred from the TRMM data. In 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium (Vol. 1, pp. 91-94). [1526111]
Shin, Dong B. ; Chiu, Long S. / The inherent error in passive microwave rainfall estimation as inferred from the TRMM data. 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium. Vol. 1 2005. pp. 91-94
@inproceedings{68bf22d23aed4cb59f63720fb2313e90,
title = "The inherent error in passive microwave rainfall estimation as inferred from the TRMM data",
abstract = "Analyses of data collected by the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) and Precipitation Radar (PR) show that the radiometric responses to rainfall profiles are sensitive to spatial inhomogeneities within the sensor field of view (FOV). The uncertainty, the so-called beam-filling error, Is associated with the variability In horizontal and vertical rainfall structures within a sensor FOV coupled to the non-linear relationship between brightness temperature (Tb) and rain rate (R). This study classifies the beam-filling error as an inherent error because the sensor itself has the non-unique radiometric signatures associated with the rainfall inhomogeneity. The specific forward models hardly overcome the error inherent in the sensor. It is also shown that lower resolution retrievals are less sensitive to the inherent error than the retrievals at higher resolutions due to the less non-linearity in the Tb-R relationship at lower resolutions.",
author = "Shin, {Dong B.} and Chiu, {Long S.}",
year = "2005",
month = "12",
day = "1",
language = "English",
isbn = "0780390504",
volume = "1",
pages = "91--94",
booktitle = "25th Anniversary IGARSS 2005",

}

Shin, DB & Chiu, LS 2005, The inherent error in passive microwave rainfall estimation as inferred from the TRMM data. in 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium. vol. 1, 1526111, pp. 91-94, 2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005, Seoul, Korea, Republic of, 05/7/25.

The inherent error in passive microwave rainfall estimation as inferred from the TRMM data. / Shin, Dong B.; Chiu, Long S.

25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium. Vol. 1 2005. p. 91-94 1526111.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - The inherent error in passive microwave rainfall estimation as inferred from the TRMM data

AU - Shin, Dong B.

AU - Chiu, Long S.

PY - 2005/12/1

Y1 - 2005/12/1

N2 - Analyses of data collected by the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) and Precipitation Radar (PR) show that the radiometric responses to rainfall profiles are sensitive to spatial inhomogeneities within the sensor field of view (FOV). The uncertainty, the so-called beam-filling error, Is associated with the variability In horizontal and vertical rainfall structures within a sensor FOV coupled to the non-linear relationship between brightness temperature (Tb) and rain rate (R). This study classifies the beam-filling error as an inherent error because the sensor itself has the non-unique radiometric signatures associated with the rainfall inhomogeneity. The specific forward models hardly overcome the error inherent in the sensor. It is also shown that lower resolution retrievals are less sensitive to the inherent error than the retrievals at higher resolutions due to the less non-linearity in the Tb-R relationship at lower resolutions.

AB - Analyses of data collected by the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) and Precipitation Radar (PR) show that the radiometric responses to rainfall profiles are sensitive to spatial inhomogeneities within the sensor field of view (FOV). The uncertainty, the so-called beam-filling error, Is associated with the variability In horizontal and vertical rainfall structures within a sensor FOV coupled to the non-linear relationship between brightness temperature (Tb) and rain rate (R). This study classifies the beam-filling error as an inherent error because the sensor itself has the non-unique radiometric signatures associated with the rainfall inhomogeneity. The specific forward models hardly overcome the error inherent in the sensor. It is also shown that lower resolution retrievals are less sensitive to the inherent error than the retrievals at higher resolutions due to the less non-linearity in the Tb-R relationship at lower resolutions.

UR - http://www.scopus.com/inward/record.url?scp=33745699924&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33745699924&partnerID=8YFLogxK

M3 - Conference contribution

SN - 0780390504

SN - 9780780390508

VL - 1

SP - 91

EP - 94

BT - 25th Anniversary IGARSS 2005

ER -

Shin DB, Chiu LS. The inherent error in passive microwave rainfall estimation as inferred from the TRMM data. In 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium. Vol. 1. 2005. p. 91-94. 1526111