Satellite Rainfall Error Analysis with the Use of High-Resolution X-Band Dual-Polarization Radar Observations Over the Italian Alps

Anagnostou, Marios N.; Kalogiros, John; Nikolopoulos, Efthymios I.; Derin, Yagmur; Anagnostou, Emmanouil N.; Borga, Marco

doi:10.1007/978-3-319-35095-0_39

Cited by 7 publications

(2 citation statements)

References 5 publications

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“…Crisologo et al [20] also performed studies of calibrating ground radars using GPM over Manila Bay, Philippines and found that DPR-GR bias improved by considering radar beam blockage as a quality filter. Other notable studies have been conducted which deals with validating rainfall estimates from combined GPM-DPR and passive microwave sensor measurements [21][22][23][24]. In this work, a large-scale comparison and validation of GPM Ku-band and Ka-band reflectivity measurements and instantaneous rain-rate products has been presented with ground-based polarimetric radars over the United States.…”

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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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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“…In the light of this literature and validation studies conducted by Derin and Yilmaz (2014), Derin et al (2016Derin et al ( , 2018, Anagnostou et al (2017), it is established that precipitation mechanisms over complex terrain are multifactorial and depend on environmental and physical parameters. Yet much of the literature on SPP validation over complex terrain is conducted against point-based in-situ measurements.…”

Section: • Conditional Analysis Of Integratedmentioning

confidence: 99%

Evaluation of IMERG Over CONUS Complex Terrain Using Environmental Variables

Derin

Kirstetter

2022

Geophysical Research Letters

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Satellite‐based precipitation products (SPPs) provide extensive spatial and temporal coverage globally but are challenged in complex terrain. This study aims at understanding uncertainties of SPP estimation due to topographically induced rainfall. Environmental and physical parameters, that is, orographically forced upward motion and horizontal moisture flux convergence, are considered to condition precipitation mechanisms for a detailed uncertainty analysis. The Global Precipitation Measurement (GPM) precipitation product Integrated Multi‐Satellite Retrievals for GPM (IMERG) is compared at its native resolution against a high quality and accurate radar and rain gauge precipitation reference Ground Validation Multi‐Radar Multi‐Sensor (GV‐MRMS). Conditional analysis of IMERG using environmental parameters is conducted over mountainous terrain. The highest GV‐MRMS mean rainfall rate is found to be associated with positive high Q and moderate w values, confirming that vigorous moisture flux convergence is a strong condition for heavy rainfall. IMERG shows over‐ and underestimation for positive w and Q when GV‐MRMS rainfall magnitudes between 0.8 and 13 mm h−1.

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Short communication: emerging technologies for biometeorology

et al. 2017

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The first decade of the twenty-first century saw remarkable technological advancements for use in biometeorology. These emerging technologies have allowed for the collection of new data and have further emphasized the need for specific and/or changing systems for efficient data management, data processing, and advanced representations of new data through digital information management systems. This short communication provides an overview of new hardware and software technologies that support biometeorologists in representing and understanding the influence of atmospheric processes on living organisms.

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Satellite Rainfall Error Analysis with the Use of High-Resolution X-Band Dual-Polarization Radar Observations Over the Italian Alps

Cited by 7 publications

References 5 publications

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

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

Evaluation of IMERG Over CONUS Complex Terrain Using Environmental Variables

Short communication: emerging technologies for biometeorology

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