Current status of the dual-frequency precipitation radar on the global precipitation measurement core spacecraft

Furukawa, Katsuko; Nio, Tomomi; Konishi, Toshiyuki; Oki, Riko; Masaki, Takeshi; Kubota, Takuji; Iguchi, Toshio; Hanado, Hiroshi

doi:10.1117/12.2193868

Cited by 6 publications

(2 citation statements)

References 2 publications

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“…The Global Precipitation Measurement (GPM) Core Observatory has been collecting data by both the passive GPM Microwave Imager (GMI; Draper et al 2015) and the Dual-Frequency Precipitation Radar (DPR; Furukawa et al 2015) for more than 3 years (Neeck et al 2014). The DPR consists of a Ku-band (13.6 GHz) precipitation radar, similar to the Precipitation Radar (PR) on board the Tropical Rainfall Measuring Mission (TRMM) satellite (Kummerow et al 1998), and an unprecedented Ka-band (35 GHz) radar.…”

Section: Introductionmentioning

confidence: 99%

Validation of GPM Dual-Frequency Precipitation Radar (DPR) Rainfall Products over Italy

Petracca

D’Adderio

Porcú

et al. 2018

Journal of Hydrometeorology

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The Ka–Ku Dual-Frequency Precipitation Radar (DPR) and the Microwave Imager on board the Global Precipitation Measurement (GPM) mission core satellite have been collecting data for more than 3 years, providing precipitation products over the globe, including oceans and remote areas where ground-based precipitation measurements are not available. The main objective of this work is to validate the GPM-DPR products over a key climatic region with complex orography such as the Italian territory. The performances of the DPR precipitation rate products are evaluated over an 18-month period (July 2015–December 2016) using both radar and rain gauge data. The ground reference network is composed of 22 weather radars and more than 3000 rain gauges. DPR dual-frequency products generally show better performance with respect to the single-frequency (i.e., Ka- or Ku-band only) products, especially when ground radar data are taken as reference. A sensitivity analysis with respect to season and rainfall intensity is also carried out. It was found that the normal scan (NS) product outperforms the high-sensitivity scan (HS) and matched scan (MS) during the summer season. A deeper analysis is carried out to investigate the larger discrepancies between the DPR-NS product and ground reference data. The most relevant improvement of the DPR products’ performance was found by limiting the comparison to the upscaled radar data with a higher quality index. The resulting scores in comparison with ground radars are mean error (ME) = −0.44 mm h−1, RMSE = 3.57 mm h−1, and fractional standard error (FSE) = 142%, with the POD = 65% and FAR = 1% for rainfall above 0.5 mm h−1.

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Section: Introductionmentioning

confidence: 99%

Validation of GPM Dual-Frequency Precipitation Radar (DPR) Rainfall Products over Italy

Petracca

D’Adderio

Porcú

et al. 2018

Journal of Hydrometeorology

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“…The Global Precipitation Measurement (GPM) mission is a follow-on mission to the TRMM. Launched on 27 February 2014, the GPM Core Observatory is expected to provide next-generation measurements of precipitation over a wide range of latitudes of 65 • N to 65 • S [3,4].…”

Section: Introductionmentioning

confidence: 99%

Cross-Validation of Observations between the GPM Dual-Frequency Precipitation Radar and Ground Based Dual-Polarization Radars

Biswas

Chandrasekar

2018

Remote Sensing

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The Global Precipitation Measurement (GPM) mission Core Observatory is equipped with a dual-frequency precipitation radar (DPR) with capability of measuring precipitation simultaneously at frequencies of 13.6 GHz (Ku-band) and 35.5 GHz (Ka-band). Since the GPM-DPR cannot use information from polarization diversity, radar reflectivity factor is the most important parameter used in all retrievals. In this study, GPM's observations of reflectivity at dual-frequency and instantaneous rainfall products are compared quantitatively against dual-polarization ground-based NEXRAD radars from the GPM Validation Network (VN). The ground radars, chosen for this study, are located in the southeastern plains of the U.S.A. with altitudes varying from 5 to 210 m. It is a challenging task to quantitatively compare measurements from space-based and ground-based platforms due to their difference in resolution volumes and viewing geometry. To perform comparisons on a point-to-point basis, radar observations need to be volume matched by averaging data in common volume or by re-sampling data to a common grid system. In this study, a 3-D volume matching technique first proposed by Bolen and Chandrasekar (2003) and later modified by Schwaller and Morris (2011) is applied to both radar data. DPR and ground radar observations and products are cross validated against each other with a large data set. Over 250 GPM overpass cases at 5 NEXRAD locations, starting from April 2014 to June 2018, have been considered. Analysis shows that DPR Ku-and Ka-Band reflectivities are well matched with ground radar with correlation coefficient as high as 0.9 for Ku-band and 0.85 for Ka-band. Ground radar calibration is also checked by observing variation in mean biases of reflectivity between DPR and GR over time. DPR rainfall products are also evaluated. Though DPR underestimates higher rainfall rates in convective cases, its overall performance is found to be satisfactory.

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An Algorithm for the Retrieval of Ocean Surface Precipitation from SCATSAT-1 Measurements

Varma

Chakraborty

2022

J Indian Soc Remote Sens

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Current status of the dual-frequency precipitation radar on the global precipitation measurement core spacecraft

Cited by 6 publications

References 2 publications

Validation of GPM Dual-Frequency Precipitation Radar (DPR) Rainfall Products over Italy

Validation of GPM Dual-Frequency Precipitation Radar (DPR) Rainfall Products over Italy

Cross-Validation of Observations between the GPM Dual-Frequency Precipitation Radar and Ground Based Dual-Polarization Radars

An Algorithm for the Retrieval of Ocean Surface Precipitation from SCATSAT-1 Measurements

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