Validating a rapid-update satellite precipitation analysis across telescoping space and time scales

Turk, F. Joseph; Sohn, Byung-Ju; Oh, Hyun-Jong; Ebert, Elizabeth E.; Levizzani, Vincenzo; Smith, Eric A.

doi:10.1007/s00703-009-0037-4

Cited by 23 publications

(16 citation statements)

References 27 publications

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“…By applying the minimum sampling error selection method for time and space proposed by Bell and Kundu (2003), a 15-min averaging time for the rain gauge measurements is needed to minimize the sampling error for a given TMI 85-GHz footprint. The 15-min time average used to minimize the sampling errors appears to be consistent with results of Turk et al (2009) for the statistics of satellite-rain gauge comparisons with various time windows for the average from 230 to 130 min. It has been shown that there is a sharp improvement in the statistics when the time window is widened from 0 to 65 min.…”

Section: B Rain Gauge Datasupporting

confidence: 66%

“…The 15-min time average used to minimize the sampling errors appears to be consistent with results of Turk et al (2009) for the statistics of satellite-rain gauge comparisons with various time windows for the average from 230 to 130 min. 5 of Turk et al 2009), however Thus, we used 14-min averages for the surface rains taken within 67 min centered at a TRMM overpass time. This improvement appears to slow down from 65 to 610 min (see Fig.…”

Section: B Rain Gauge Datasupporting

confidence: 66%

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Rain-Rate Characteristics over the Korean Peninsula and Improvement of the Goddard Profiling (GPROF) Database for TMI Rainfall Retrievals

Ryu¹,

Sohn²,

Kummerow³

et al. 2012

Journal of Applied Meteorology and Climatology

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Summer rainfall characteristics over the Korean Peninsula are examined using six years of Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) measurements and surface rain measurements from the densely populated rain gauges spread across South Korea. A comparison of the TMI brightness temperature at 85 GHz with the measured surface rain rate reveals that a significant portion of rainfall over the peninsula occurs at warmer brightness temperatures than would be expected from the Goddard profiling (GPROF) database. By incorporating the locally observed rain characteristics into the GPROF algorithm, efforts are made to test whether locally appropriate hydrometeor profiles may be used to improve the retrieved rainfall. Profiles are obtained by simulating rain cases using the cloud-resolving University of Wisconsin Nonhydrostatic Modeling System (UW-NMS) model and matching the calculated radar reflectivities to TRMM precipitation radar (PR) reflectivities. Selected profiles and the corresponding simulated TMI brightness temperatures (limited in this study to values that are larger than 235 K) are added to the GPROF database to form a modified database that is considered to be more suitable for local application over the Korean Peninsula. The rainfall retrieved from the new database demonstrates that heavy-rainfall events-in particular, those associated with warmer clouds-are better captured by the new algorithm as compared with the official TRMM GPROF version-6 retrievals. The results suggest that a more locally suitable rain retrieval algorithm can be developed if locally representative rain characteristics are included in the GPROF algorithm.

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Section: B Rain Gauge Datasupporting

confidence: 66%

Section: B Rain Gauge Datasupporting

confidence: 66%

Rain-Rate Characteristics over the Korean Peninsula and Improvement of the Goddard Profiling (GPROF) Database for TMI Rainfall Retrievals

Ryu¹,

Sohn²,

Kummerow³

et al. 2012

Journal of Applied Meteorology and Climatology

Self Cite

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“…We have to emphasize that the comparison of radar and satellite data over longer time scales (1 h, 3 h, 6 h, up to 30 days) would provide better statistics as shown in Turk et al, 2009. They have validated the IR-MW-combined NRL-Blended (Naval Research Laboratory -blended) satellite retrieval technique against 1-min rain gauge data over the Korean Peninsula for June-August 2000).…”

Section: Discussion On Satellite-derived Rainfall Ratesmentioning

confidence: 95%

“…Critically, the validation of instantaneous precipitation products over Europe was very scarce to date. However, dependency on accumulated time and space scales of validation results have been discussed in Turk et al, 2009, where averaging was done from 0.1°to 3°box sizes, and from 1 h to 30 days long periods.…”

Section: Introductionmentioning

confidence: 99%

Validation studies of precipitation estimates from different satellite sensors over hungary – Analysis of new satellite-derived rain rate products for hydrological purposes

Lábó

2012

Journal of Hydrology

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“…The validation of satellite cloud and precipitation retrieval algorithms is a very complex and still in progress activity, which requires dedicated airborne and in situ measurements to obtain the cloudy scenario characterization as well as reliable networks of rain gauges and radar to provide independent rainfall measurements. An exhaustive summary about the recent validation activities of several satellite precipitation products can be extracted from Ebert et al (2007) and Turk et al (2009), whereas examples of performance evaluation of cloud retrieval algorithms can be found in Nauss et al (2005) and Ham et al (2009).…”

Section: Discussionmentioning

confidence: 99%

On the statistical relationship between cloud optical and microphysical characteristics and rainfall intensity for convective storms over the Mediterranean

Cattani

Torricella

Laviola

et al. 2009

Nat. Hazards Earth Syst. Sci.

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Abstract.The relationship between the multi-spectral cloud field characterization from the Advanced Very High Resolution Radiometer (AVHRR) and the rainfall intensities from the Advanced Microwave Sounding Unit-module B (AMSU-B) data were studied for a convective storm event, which occurred during the first 15 days of June 2007 over the Mediterranean. The cloud products exploited in this analysis, cloud mask, type, optical thickness, and effective radius, are obtained from the NOAA-NESDIS operational processing system Clouds from the AVHRR-Extended algorithm (CLAVR-x), whereas the rain intensity values are retrieved from the AMSU-B brightness temperatures via a fast algorithm, using opaque frequencies (centred at 183 GHz) to correct for the presence of water vapour affecting the retrieval results. The algorithm is conceived to discriminate between convective and stratiform rain using a suitable set of thresholds; the retrieval is subsequently carried out separately for the two types.A test for the discrimination of precipitating from nonprecipitating areas was based on the comparison between the precipitation information and the retrieved cloud parameters. The test produced a cloud optical thickness threshold value, beyond which the precipitation initiates, and an effective radius range for the identification of the precipitating clouds. The results stemming from the application of the test to the June 2007 case study are very encouraging, although still preliminary and restricted to the analyzed Mediterranean storms. In particular, the test shows high potential for delineating non-precipitating areas (more than 90% of successful cases for every considered cloud type) and to identify precipitating ice clouds related to convective rain (confirmed by 82% of hits). On the other hand, the relative inability to address the stratiform cloud systems is proved by the fact Correspondence to: E. Cattani (e.cattani@isac.cnr.it) that the majority of the missed cases, for each cloud types, is characterized by light rain intensities (≤3 mm h −1 ).

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Validating a rapid-update satellite precipitation analysis across telescoping space and time scales

Cited by 23 publications

References 27 publications

Rain-Rate Characteristics over the Korean Peninsula and Improvement of the Goddard Profiling (GPROF) Database for TMI Rainfall Retrievals

Rain-Rate Characteristics over the Korean Peninsula and Improvement of the Goddard Profiling (GPROF) Database for TMI Rainfall Retrievals

Validation studies of precipitation estimates from different satellite sensors over hungary – Analysis of new satellite-derived rain rate products for hydrological purposes

On the statistical relationship between cloud optical and microphysical characteristics and rainfall intensity for convective storms over the Mediterranean

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