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Evaluation of IMERG Satellite Precipitation over the Land–Coast–Ocean Continuum. Part I: Detection

Evaluation of IMERG Satellite Precipitation over the Land–Coast–Ocean Continuum. Part I: Detection AbstractAs a fundamental water flux, quantitative understanding of precipitation is important to understand and manage water systems under a changing climate, especially in transition regions such as the coastal interface between land and ocean. This work aims to assess the uncertainty in precipitation detection over the land–coast–ocean continuum in the Integrated Multisatellite Retrievals for Global Precipitation Measurement (IMERG) V06B product. It is examined over three coastal regions of the United States—the West Coast, the Gulf of Mexico, and the East Coast, all of which are characterized by different topographies and precipitation climatologies. Detection capabilities are contrasted over different surfaces (land, coast, and ocean). A novel and integrated approach traces the IMERG detection performance back to its components (passive microwave, infrared, and morphing-based estimates). The analysis is performed by using high-resolution, high-quality Ground Validation Multi-Radar/Multi-Sensor (GV-MRMS) rainfall estimates as ground reference. The best detection performances are reported with PMW estimates (hit rates in the range [25%–39%]), followed by morphing ([20%–34%]), morphing+IR ([17%–27%]) and IR ([11%–16%]) estimates. Precipitation formation mechanisms play an important role, especially in the West Coast where orographic processes challenge detection. Further, precipitation typology is shown to be a strong driver of IMERG detection. Over the ocean, IMERG detection is generally better but suffers from false alarms ([10%–53%]). Overall, IMERG displays nonhomogeneous precipitation detection capabilities tracing back to its components. Results point toward a similar behavior across various land–coast–ocean continuum regions of the CONUS, which suggests that results can be potentially transferred to other coastal regions of the world. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Hydrometeorology American Meteorological Society

Evaluation of IMERG Satellite Precipitation over the Land–Coast–Ocean Continuum. Part I: Detection

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1525-7541
eISSN
1525-7541
DOI
10.1175/JHM-D-21-0058.1
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Abstract

AbstractAs a fundamental water flux, quantitative understanding of precipitation is important to understand and manage water systems under a changing climate, especially in transition regions such as the coastal interface between land and ocean. This work aims to assess the uncertainty in precipitation detection over the land–coast–ocean continuum in the Integrated Multisatellite Retrievals for Global Precipitation Measurement (IMERG) V06B product. It is examined over three coastal regions of the United States—the West Coast, the Gulf of Mexico, and the East Coast, all of which are characterized by different topographies and precipitation climatologies. Detection capabilities are contrasted over different surfaces (land, coast, and ocean). A novel and integrated approach traces the IMERG detection performance back to its components (passive microwave, infrared, and morphing-based estimates). The analysis is performed by using high-resolution, high-quality Ground Validation Multi-Radar/Multi-Sensor (GV-MRMS) rainfall estimates as ground reference. The best detection performances are reported with PMW estimates (hit rates in the range [25%–39%]), followed by morphing ([20%–34%]), morphing+IR ([17%–27%]) and IR ([11%–16%]) estimates. Precipitation formation mechanisms play an important role, especially in the West Coast where orographic processes challenge detection. Further, precipitation typology is shown to be a strong driver of IMERG detection. Over the ocean, IMERG detection is generally better but suffers from false alarms ([10%–53%]). Overall, IMERG displays nonhomogeneous precipitation detection capabilities tracing back to its components. Results point toward a similar behavior across various land–coast–ocean continuum regions of the CONUS, which suggests that results can be potentially transferred to other coastal regions of the world.

Journal

Journal of Hydrometeorology – American Meteorological Society

Published: Nov 15, 2021

References

  • Uncertainty quantification of mean-areal radar-rainfall estimates
    Anagnostou, E. N.; Krajewski, W. F.; Smith, J.
  • Benchmarking high-resolution global satellite rainfall products to radar and rain-gauge rainfall estimates
    Anagnostou, E. N.; Maggioni, V.; Nikolopoulos, E.; Meskele, T.; Hossain, F.; Papadopoulos, A.
  • How do different sensors impact IMERG precipitation estimates during hurricane days?
    Ayat, H.; Evans, J. P.; Behrangi, A.
  • Comparison of TRMM rainfall retrievals with rain gauge data from the TAO/TRITON buoy array
    Bowman, K. P.; Phillips, A. B.; North, G. R.
  • The influence of surface and precipitation characteristics on TRMM microwave imager rainfall retrieval uncertainty
    Carr, N.
  • Polarimetric signatures of midlatitude warm-rain precipitation events
    Carr, N.; Kirstetter, P. E.; Gourley, J. J.; Hong, Y.
  • Bayesian retrieval of complete posterior PDFs of oceanic rain rate from microwave observations
    Chiu, J. C.; Petty, G. W.
  • Validation and intercomparison of SSM/I rain-rate retrieval methods over the continental United States
    Conner, M. D.; Petty, G. W.
  • Evaluation of multiple satellite-based precipitation products over complex topography
    Derin, Y.; Yilmaz, K. K.
  • Multi-regional satellite precipitation products evaluation over complex terrain
    Derin, Y.
  • Passive microwave rainfall error analysis using high-resolution X-band dual-polarization radar observations in complex terrain
    Derin, Y.; Anagnostou, E.; Anagnostou, M. N.; Kalogiros, J.; Casella, D.; Marra, A. C.; Panegrossi, G.; Sano, P.
  • Evaluation of GPM-era global satellite precipitation products over multiple complex terrain regions
    Derin, Y.
  • Comparison of near-real-time precipitation estimates from satellite observations and numerical models
    Ebert, E. E.; Janowiak, J. E.; Kidd, C.
  • Equitable scores for categorical forecasts
    Gandin, L. S.; Murphy, A. H.
  • Understanding overland multisensor satellite precipitation error in TRMM-RT products
    Gebregiorgis, A.; Kirstetter, P. E.; Hong, Y.; Carr, N.; Gourley, J. J.; Zheng, Y.
  • To what extent is the day 1 GPM IMERG satellite precipitation estimate improved as compared to TRMM TMPA-RT?
    Gebregiorgis, A.; Kirstetter, P. E.; Hong, Y.; Gourley, J. J.; Huffman, G. J.; Petersen, W. A.; Xue, X.; Schwaller, M. R.
  • Berechnung der Erfolges und der Gute der Windstarkevorhersagen im Sturmwarnungdienst (Calculation of the success and goodness of wind strength forecasts in the Storm Warning Service)
    Heidke, P.
  • Evaluation of PERSIANN-CCS rainfall measurement using the NAME event rain gauge network
    Hong, Y.; Gochis, D.; Cheng, J.; Hsu, K.; Sorooshian, S.
  • The global precipitation measurement mission
    Hou, A. Y.
  • Kalman filter based CMORPH
    Joyce, R. J.; Xie, P.
  • Assessment of level-3 gridded Global Precipitation Mission (GPM) products over oceans
    Khan, S.; Maggioni, V.
  • Validation of the version 05 level 2 precipitation products from the GPM Core Observatory and constellation satellite sensors
    Kidd, C.; Tan, J.; Kirstetter, P.-E.; Petersen, W. A.
  • Toward a framework for systematic error modeling of spaceborne precipitation radar with NOAA/NSSL ground radar-based national mosaic QPE
    Kirstetter, P. E.
  • Impact of sub-pixel rainfall variability on spaceborne precipitation estimation: Evaluating the TRMM 2A25 product
    Kirstetter, P. E.; Hong, Y.; Gourley, J. J.; Schwaller, M.; Petersen, W.; Cao, Q.
  • Probabilistic precipitation rate estimates with space-based infrared sensors
    Kirstetter, P. E.; Karbalaee, N.; Hsu, K.; Hong, Y.
  • A review of merged high-resolution satellite precipitation product accuracy during the Tropical Rainfall Measuring Mission (TRMM) era
    Maggioni, V.; Meyers, P. C.; Robinson, M. D.
  • Modeling satellite precipitation errors over mountainous terrain: The influence of gauge density, seasonality, and temporal resolution
    Maggioni, V.; Nikolopoulos, E. I.; Anagnostou, E. N.; Borga, M.
  • Comparative ground validation of IMERG and TMPA at variable spatiotemporal scales in the tropical Andes
    Manz, B.; Paez-Bimos, S.; Horna, N.; Buytaert, W.; Ochoa-Tocachi, B.; Lavado-Casimiro, W.; Willems, B.
  • Evaluation of biases of satellite rainfall estimation algorithms over the continental United States
    McCollum, J. R.; Krajewski, W. F.; Ferraro, R. R.; Ba, M. B.
  • Error analysis of satellite precipitation products in mountainous basins
    Mei, Y.; Anagnostou, E. N.; Nikolopoulos, E. I.; Borga, M.
  • An investigation of the consistency of TAO-TRITON buoy-mounted capacitance rain gauges
    Morrissey, M. L.; Diamond, H. J.; McPhaden, M. J.; Freitag, H. P.; Greene, J. S.
  • Evaluation of precipitation detection over various surfaces from passive microwave imagers and sounders
    Munchak, S. J.; Skofronick-Jackson, G.
  • Future coastal population growth and exposure to sea-level rise and coastal flooding – A global assessment
    Neumann, B.; Vafeidis, A. T.; Zimmermann, J.; Nicholls, R. J.
  • Performance of the GPM passive microwave retrieval in the Balkan flood even of 2014
    Petković, V.; Kummerow, C. D.
  • Improved passive microwave retrievals of rain rate over land and ocean. Part II: Validation and intercomparison
    Petty, G. W.; Li, K.
  • Toward a polarimetric radar classification scheme for coalescence-dominant precipitation: Application to complex terrain
    Porcacchia, L.; Kirstetter, P. E.; Gourley, J. J.; Maggioni, V.; Cheong, B. L.; Anagnostou, M. N.
  • Microwave land surface emissivities estimated from SSM/I observations
    Prigent, C.; Rossow, W. B.; Matthews, E.
  • Characterization of floods in the United States
    Saharia, M.; Kirstetter, P. E.; Vergara, H.; Gourley, J. J.; Hong, Y.
  • An intercomparison and validation of high-resolution satellite precipitation estimates with 3-hourly gauge data
    Sapiano, M. R. P.; Arkin, P. A.
  • Precipitation measurements from the Tropical Moored Array: A review and look ahead
    Serra, Y. L.
  • Multiple time- and space-scale comparisons of ATLAS buoy rain gauge measurements with TRMM satellite precipitation measurements*
    Serra, Y. L.; McPhaden, M. J.
  • ATLAS self-siphoning rain gauge error estimates
    Serra, Y. L.; A’Hearn, P. A.; Freitag, H. P.; McPhaden, M. J.
  • Assessment of high-resolution satellite-based rainfall estimates over the Mediterranean during heavy precipitation events
    Stampoulis, D.; Anagnostou, E. N.; Nikolopoulos, E. I.
  • A prognostic nested k-nearest approach for microwave precipitation phase detection over snow cover
    Takbiri, Z.; Ebtehaj, A.; Foufoula-Georgiou, E.; Kirstetter, P.; Turk, F. J.
  • Comparisons of instantaneous TRMM ground validation and satellite rain-rate estimates at different spatial scales
    Wolff, D. B.; Fisher, B. L.
  • Multi-Radar Multi-Sensor (MRMS) quantitative precipitation estimation: Initial operating capabilities
    Zhang, J.