Investigating the Potential of Using Satellite‐Based Precipitation Radars as Reference for Evaluating Multisatellite Merged Products

Khan, Sanaullah; Maggioni, Viviana; Kirstetter, Pierre‐Emmanuel

doi:10.1029/2018jd028584

Cited by 17 publications

(9 citation statements)

References 60 publications

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“…TCA clearly confirms that 3DPRD performs consistently better than OceanRAIN, as also shown by the continuous error metrics. Khan et al [48] demonstrated that IR estimates are affected by the largest systematic and random errors over land compared to the other IMERG products and components and their improvement could be critical to enhance the merged products. The findings over ocean also point to larger errors in IR estimates over oceans, thus providing an opportunity to improve the merged products also over oceans.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Level-3 Gridded Global Precipitation Mission (GPM) Products Over Oceans

Khan¹,

Maggioni²

2019

Remote Sensing

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The performance of Level-3 gridded Global Precipitation Mission (GPM)-based precipitation products (IMERG, Integrated Multi-satellite Retrievals for GPM) is assessed against two references over oceans: the OceanRAIN dataset, derived from oceanic shipboard disdrometers, and a satellite-based radar product (the Level-3 Dual-frequency Precipitation Radar, 3DPRD). Daily IMERG products (early, late, final) and microwave-only (MW) and Infrared-only (IR) precipitation components are evaluated at four different spatial resolutions (0.5 • , 1 • , 2 • , and 3 • ) during a 3-year study period (March 2014-February 2017). Their performance is assessed based on both categorical and continuous performance metrics, including correlation coefficient, probability of detection, success ratio, bias, and root mean square error (RMSE). A triple collocation analysis (TCA) is also presented to further investigate the performance of these satellite-based products. Overall, the IMERG products show an underestimation with respect to OceanRAIN. Rain events in OceanRAIN are correctly detected by all IMERG products~80% of the times. IR estimates show relatively large errors and low correlations with OceanRAIN compared to the other products. On the other hand, the MW component performs better than other products in terms of both categorical and continuous statistics. TCA reveals that 3DPRD performs consistently better than OceanRAIN in terms of RMSE and coefficient of determination at all spatial resolutions. This work is part of a larger effort to validate GPM products over nontraditional regions such as oceans.

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Section: Discussionmentioning

confidence: 99%

Assessment of Level-3 Gridded Global Precipitation Mission (GPM) Products Over Oceans

Khan¹,

Maggioni²

2019

Remote Sensing

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“…Compared to the Tropical Rainfall Measurement Mission precipitation radar, the DPR is more capable of sensing light rain and snowfall. Verification results showed that GPM DPR products can serve as a reliable reference for the calibration of multisatellite 10.1029/2019GL086207 precipitation products (Khan et al, 2018). The product we used in our study was Level 2 DPR Ka&Ku single orbit rainfall estimates (2A-DPR), with a spatial resolution of 5.2 km × 125 m and temporal resolution of 16 orbits per day.…”

Section: Methodsmentioning

confidence: 99%

Strong Precipitation Suppression by Aerosols in Marine Low Clouds

Fan

Wang

Zhu

et al. 2020

Geophysical Research Letters

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The adjustment of cloud amount to aerosol effects occurs to a large extent in response to the aerosol effect on precipitation. Here the marine boundary layer clouds were studied by analyzing the dependence of rain intensity measured by Global Precipitation Measurement on cloud properties. We showed that detectable rain initiates when the drop effective radius at the cloud top (r e ) exceeds 14 μm, and precipitation is strongly suppressed with increasing cloud drop concentration (N d ), which contributes to the strong dependence of cloud amount on aerosols. The rain rate increases sharply with cloud thickness (CGT) and r e when r e > 14 μm. The dependence of rain rate on r e and CGT presents a simple framework for precipitation susceptibility to aerosols, which explains other previously observed relationships. We showed that sorting data by CGT and using alternative cloud condensation nuclei proxy rather than aerosol optical depth are critical for studying aerosol-cloud-precipitation interactions.Plain Language Summary Aerosol-cloud interaction remains the greatest uncertainty in future climate projection. Precipitation is a key process that mediates how the cloud amount responds to aerosol perturbations. Here we combined precipitation measured by the radar onboard the satellite of Global Precipitation Measurement (GPM) and cloud properties retrieved from Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Aqua satellite for studying the dependence of rain intensity on cloud properties for marine boundary layer water clouds over the Southern Hemisphere Ocean. Our results showed that rain is sharply intensified when droplets at the cloud top grow larger than 14 μm, and precipitation decreases with increasing cloud drop number concentration (N d ). A simple framework to explain the relationship between precipitation and aerosols is proposed here by showing the dependence of precipitation on N d and cloud geometric thickness. We also discussed why using aerosol optical depth (AOD) as CCN proxy in previous studies could lead to great uncertainties and why sorting cloud geometrical thickness is necessary. Key Points:• Precipitation is strongly suppressed with increasing cloud drop concentration • Sorting data by cloud thickness and using alternative CCN proxy rather than AOD are critical for studying aerosol-cloud interactions • Detectable rain initiates when the drop effective radius at the cloud top exceeds 14 μm Supporting Information:• Supporting Information S1

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“…They found that the correlation between the satellite and radar data was generally high; however, it decreased significantly over the storm core. Further studies have compared satellite precipitation retrievals with ground radar estimates (Beck et al 2019;Chen et al 2020;ElSaadani et al 2018;Furl et al 2018;Gebregiorgis et al 2018;Khan et al 2018;Prat and Nelson 2015;Rios Gaona et al 2017;J. Zhang et al 2018;X.…”

Section: Introductionmentioning

confidence: 99%

Are Storm Characteristics the Same When Viewed Using Merged Surface Radars or a Merged Satellite Product?

Ayat

Evans

Sherwood

et al. 2021

Journal of Hydrometeorology

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High- resolution datasets offer the potential to improve our understanding of spatial and temporal precipitation patterns and storm structures. The goal of this study is to evaluate the similarities and differences of object-based storm characteristics as observed using space or land based sensors. The Method of Object-based Diagnostic Evaluation (MODE) Time Domain (MTD) is used to identify and track storm objects in two high resolution merged datasets: the Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) final product V06B and gauge-corrected ground radar based Multi-Radar Multi-Sensor Quantitative Precipitation Estimates (MRMS). Characteristics associated with landfalling hurricanes were also examined as a separate category of storm. The results reveal that IMERG and MRMS agree reasonably well across many object-based storm characteristics. However, there are some discrepancies that are statistically significant. MRMS storms are more concentrated, with smaller areas and higher peak intensities, which implies higher flash-flood risks associated with the storms. On the other hand, IMERG storms can travel longer distances with a higher volume of precipitation, which implies higher risk of riverine flooding. Agreement between the datasets is higher for faster moving hurricanes in terms of the averaged intensity. Finally, MRMS indicates a higher average precipitation intensity during the hurricane's lifetime. However, in non-hurricanes, the opposite result was observed. This is likely related to MRMS having higher resolution; monitoring the hurricanes from many viewing angles, leading to different signal saturation properties compared to IMERG; and/or, the dominance of droplet aggregation effects over evaporation effects at lower altitudes.

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Investigating the Potential of Using Satellite‐Based Precipitation Radars as Reference for Evaluating Multisatellite Merged Products

Cited by 17 publications

References 60 publications

Assessment of Level-3 Gridded Global Precipitation Mission (GPM) Products Over Oceans

Assessment of Level-3 Gridded Global Precipitation Mission (GPM) Products Over Oceans

Strong Precipitation Suppression by Aerosols in Marine Low Clouds

Are Storm Characteristics the Same When Viewed Using Merged Surface Radars or a Merged Satellite Product?

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