Comparison of TRMM precipitation radar and microwave imager rainfall retrievals in tropical cyclone inner cores and rainbands

Zagrodnik, Joseph P.; Jiang, Haiyan

doi:10.1029/2012jd017919

Cited by 13 publications

(7 citation statements)

References 39 publications

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“…In this aspect, the TMI and PR V7 algorithms have made substantial progress in decreasing the uncertainty in retrieving global rainfall, compared to the V6 algorithms. A similar result pointing to the TMI rain relative underestimation can be found in Zagrodnik and Jiang (2013). The mean stratiform rain rates are 2.78 and 2.45 mm h 21 , respectively, for TMI and PR, showing a good agreement (12.62% difference).…”

Section: A Frequency Distributions Of Rain Intensitysupporting

confidence: 84%

Long-Term Comparison of Collocated Instantaneous Rain Retrievals from the TRMM Microwave Imager and Precipitation Radar over the Ocean

Seo

Hristova-Veleva

Liu

et al. 2015

Journal of Applied Meteorology and Climatology

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Version-7 (V7) rain rates retrieved by the TRMM Microwave Imager (TMI) and Precipitation Radar (PR) are spatially and temporally collocated over the ocean and compared at TMI footprint scale for the summer months of 16 years, within the TRMM coverage belt from 388S to 388N latitude. This study puts special emphasis on examining how the estimates from the two instruments compare with each other for different rain types and for different geographical locations. It is found that, although the two rain-rate estimates agree with each other extremely well (only 2.6% difference) when averaged globally and over all rain types, large discrepancies (;60%) are observed if comparisons are conducted for rain pixels of only convective type or for regions where convective rain types dominate. For the stratiform rain type, the TMI and PR retrievals compare well with a difference of ;13% globally. In particular, the partial beam filling seems to be less important to the underestimation of TMI rain against PR rain than the spatial variability of rain. These findings point to the existing need for better understanding of the remote-sensing physics of convective rain. Such an improved understanding is critically important to decreasing the uncertainty in oceanic rainfall estimation from space in the coming GPM era of global long-term observations that will lead to the creation of a climate record of trends in precipitation.

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Section: A Frequency Distributions Of Rain Intensitysupporting

confidence: 84%

Long-Term Comparison of Collocated Instantaneous Rain Retrievals from the TRMM Microwave Imager and Precipitation Radar over the Ocean

Seo

Hristova-Veleva

Liu

et al. 2015

Journal of Applied Meteorology and Climatology

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“…Cecil and Wingo (2009) showed that for rainfall, differences between microwave-only and radar retrievals could be as large as a factor of 10 for extreme instantaneous rain rates in cyclones. Recent analysis by Zagrodnik and Jiang (2013) showed that the GPROF TMI retrieval underestimates moderate to heavy rainfall (.15 mm h 21 ) when compared to rainfall algorithms derived from PR data, particularly in hurricanes. These studies indicate that for PR-based retrievals, the dynamic range is 75%-100% of the true range, whereas for the TMI-only algorithms (RSSv4 and 2A25), the dynamic range is 10%-30% of the true range.…”

Section: Observationsmentioning

confidence: 97%

Understanding the Influence of Measurement Uncertainty on the Atmospheric Transition in Rainfall and Column Water Vapor

Gilmore

2015

Journal of the Atmospheric Sciences

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Measurement uncertainty plays a key role in understanding physical relationships. This is particularly the case near phase transitions where order parameters undergo fast changes and display large variability. Here the proposed atmospheric continuous phase transition is examined by analyzing uncertainty in rain-rate and column water vapor measurements from the Tropical Rainfall Measuring Mission and through an idealized error analysis. It is shown through both of these approaches that microwave rain-rate retrievals can mimic a continuous phase transition. This occurs because microwave retrievals of instantaneous rain rates have a suppressed range. This work also suggests that column water vapor noise may provide part of the plateau seen in the observational relationship. Using updated measurements, this work indicates that the atmosphere is unlikely to undergo a continuous phase transition in rain rate but, instead, contains much larger variability in rain rates at extreme column water vapor values than previously thought. This implies that the atmosphere transitions from a lowvariance nonraining state to a high-variance raining state at extreme column water vapor values.

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“…The latter combines data from both TRMM Microwave Imager (TMI) and TRMM Precipitation Radar (PR) (Huffman et al, 2010). PR is especially useful for identifying the regions where the TMI is significantly underestimating rain rates, for example in the eyewall of the hurricanes (Zagrodnik and Jiang, 2013).…”

Section: Satellite-derived Datamentioning

confidence: 99%

The impact of hurricanes on the oceanographic conditions in the Exclusive Economic Zone of Cuba

Avila-Alonso

Baetens

Cárdenas

et al. 2019

Remote Sensing of Environment

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In this work, we analysed the satellite-based responses of sea surface temperature (SST) and chlorophylla (chl-a) concentration in the waters of the Exclusive Economic Zone (EEZ) of Cuba to hurricanes that crossed the EEZ between 1998 and 2016. We considered two spatial scales to capture the spatially heterogeneous nature of the effects of hurricanes. A first more fine-grained one where we considered 120 km radius disks centered at every consecutive hurricane position within the EEZ (scale 1) and a second more coarse grained one enclosing the entire EEZ (scale 2). We conclude that the hurricanes induced a weak cooling since 75 and 85% of the SST anomalies at scale 1 and 2, respectively, were smaller than -1 • C. The cooling was mainly caused by the wind, inducing mixing and/or upwelling of subsurface cool waters. The maximum chl-a responses were recorded in the first and second post-storm weeks, with 60% ranging between -0.01 and 0.04 mg m −3 at scale 1, and between -0.07 and 0.02 mg m −3 at scale 2. During those post-storm weeks SST and chl-a anomalies were 18 and 44% higher at scale 1 than at scale 2, respectively. We argue that the transport of chl-a from the deep chlorophyll maximum and/or the rich coastal waters are the dominant mechanisms determining the post-storm chl-a response in the EEZ. We also found that the magnitude of the Island Mass Effect in the EEZ after the passage of the hurricanes was 89% higher than before its passage.

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Comparison of TRMM precipitation radar and microwave imager rainfall retrievals in tropical cyclone inner cores and rainbands

Cited by 13 publications

References 39 publications

Long-Term Comparison of Collocated Instantaneous Rain Retrievals from the TRMM Microwave Imager and Precipitation Radar over the Ocean

Long-Term Comparison of Collocated Instantaneous Rain Retrievals from the TRMM Microwave Imager and Precipitation Radar over the Ocean

Understanding the Influence of Measurement Uncertainty on the Atmospheric Transition in Rainfall and Column Water Vapor

The impact of hurricanes on the oceanographic conditions in the Exclusive Economic Zone of Cuba

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