Variability of passive microwave radiometric signatures at different spatial resolutions and its implication for rainfall estimation

Dong-Bin Shin, Kenneth P. Bowman, Jung Moon Yoo, Long S. Chiu

Research output: Contribution to journalArticle

Abstract

Analysis of precipitation radar (PR) and Tropical Rainfall Measuring Mission (TRMM) microwave imager (TMI) data collected from the TRMM satellite shows that rainfall in-homogeneity, as represented by the coefficient of variation (CV), depends on a spatial scale, i.e., the CV appears to be nearly constant at all rain rates within the field of view (FOV) of the TMI 37-GHz channel, while it decreases with rain rate at lower spatial resolutions, such as the FOV sizes of the low-frequency TMI channels (10.7 and 19.4 GHz). It is known that the brightness temperature (Tb) for a low-frequency channel decreases with increasing rainfall inhomogeneity for a given rain rate. As such, more inhomogeneous rainfall at low rain rates leads to a lower Tb compared with that of a FOV with homogeneous rainfall; however, less inhomogeneous rainfall at high rain rates tends to produce a Tb similar to that of homogeneous rainfalls. These results indicate that the observed radiometric signatures of low-frequency channels at low spatial resolutions are characterized by a larger response range and smaller variability than those at a higher spatial resolution. Based on the observational characteristics of the TMI and PR data sets, we performed synthetic retrievals of rainfalls, employing a Bayesian retrieval methodology at different retrieval resolutions corresponding to the FOV sizes of the TMI channels at 10.7, 19.4, and 37 GHz. Comparisons of the rainfalls retrieved at the different resolutions and their temporal and regional averages show that the systematic bias resulting from the rainfall inhomogeneity is smaller in the lower resolution data than in their higher resolution counterparts. We note that such low-resolution rainfall retrievals are not expected to describe the instantaneous features of rain fields; however, they could be useful for climatological estimates at large temporal and spatial scales.

Original languageEnglish
Article number4694130
Pages (from-to)1575-1584
Number of pages10
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume47
Issue number6
DOIs
Publication statusPublished - 2009 Jun 1

Fingerprint

Rain
spatial resolution
Microwaves
TRMM
rainfall
field of view
Image sensors
inhomogeneity
microwave
radar
Precipitation (meteorology)
brightness temperature
homogeneity
Radar
rain
rate
Microwave frequencies
methodology
Luminance

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences(all)
  • Electrical and Electronic Engineering

Cite this

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title = "Variability of passive microwave radiometric signatures at different spatial resolutions and its implication for rainfall estimation",
abstract = "Analysis of precipitation radar (PR) and Tropical Rainfall Measuring Mission (TRMM) microwave imager (TMI) data collected from the TRMM satellite shows that rainfall in-homogeneity, as represented by the coefficient of variation (CV), depends on a spatial scale, i.e., the CV appears to be nearly constant at all rain rates within the field of view (FOV) of the TMI 37-GHz channel, while it decreases with rain rate at lower spatial resolutions, such as the FOV sizes of the low-frequency TMI channels (10.7 and 19.4 GHz). It is known that the brightness temperature (Tb) for a low-frequency channel decreases with increasing rainfall inhomogeneity for a given rain rate. As such, more inhomogeneous rainfall at low rain rates leads to a lower Tb compared with that of a FOV with homogeneous rainfall; however, less inhomogeneous rainfall at high rain rates tends to produce a Tb similar to that of homogeneous rainfalls. These results indicate that the observed radiometric signatures of low-frequency channels at low spatial resolutions are characterized by a larger response range and smaller variability than those at a higher spatial resolution. Based on the observational characteristics of the TMI and PR data sets, we performed synthetic retrievals of rainfalls, employing a Bayesian retrieval methodology at different retrieval resolutions corresponding to the FOV sizes of the TMI channels at 10.7, 19.4, and 37 GHz. Comparisons of the rainfalls retrieved at the different resolutions and their temporal and regional averages show that the systematic bias resulting from the rainfall inhomogeneity is smaller in the lower resolution data than in their higher resolution counterparts. We note that such low-resolution rainfall retrievals are not expected to describe the instantaneous features of rain fields; however, they could be useful for climatological estimates at large temporal and spatial scales.",
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Variability of passive microwave radiometric signatures at different spatial resolutions and its implication for rainfall estimation. / Shin, Dong-Bin; Bowman, Kenneth P.; Yoo, Jung Moon; Chiu, Long S.

In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, No. 6, 4694130, 01.06.2009, p. 1575-1584.

Research output: Contribution to journalArticle

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