Observational Constraint for Precipitation in Extratropical Cyclones: sensitivity to data sources

Details

• Journal Title:
  Journal of Applied Meteorology
• Personal Author:
  Naud, Catherine M. ; Booth, James F. ; Lebsock, Matthew ; Grecu, Mircea
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office)
• Description:
  Using cyclone-centered compositing and a database of extratropical-cyclone locations, the distribution of precipitation frequency and rate in oceanic extratropical cyclones is analyzed using satellite-derived datasets. The distribution of precipitation rates retrieved using two new datasets, the Global Precipitation Measurement radar–microwave radiometer combined product (GPM-CMB) and the Integrated Multisatellite Retrievals for GPM product (IMERG), is compared with CloudSat, and the differences are discussed. For reference, the composites of AMSR-E, GPCP, and two reanalyses are also examined. Cyclone-centered precipitation rates are found to be the largest with the IMERG and CloudSat datasets and lowest with GPM-CMB. A series of tests is conducted to determine the roles of swath width, swath location, sampling frequency, season, and epoch. In all cases, these effects are less than ~0.14 mm h−1 at 50-km resolution. Larger differences in the composites are related to retrieval biases, such as ground-clutter contamination in GPM-CMB and radar saturation in CloudSat. Overall the IMERG product reports precipitation more often, with larger precipitation rates at the center of the cyclones, in conditions of high precipitable water (PW). The CloudSat product tends to report more precipitation in conditions of dry or moderate PW. The GPM-CMB product tends to systematically report lower precipitation rates than the other two datasets. This intercomparison provides 1) modelers with an observational uncertainty and range (0.21–0.36 mm h−1 near the cyclone centers) when using composites of precipitation for model evaluation and 2) retrieval-algorithm developers with a categorical analysis of the sensitivity of the products to PW.
• Keywords:
  Cyclones Rain And Rainfall Remote Sensing Rain And Rainfall Remote Sensing
• Source:
  J. Appl. Meteor. Clim. (2018) 57(4): 991–1009
• DOI:
  https://doi.org/10.1175/JAMC-D-17-0289.1
• Document Type:
  Journal Article
• Funding:
  Grant no. NA15OAR4310094
• Rights Information:
  Other
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha256:de86bfd0ec951bbc22b95dcc236777c35f6affc769e38f46f498df2ef2c21f75
• Download URL:
  https://repository.library.noaa.gov/view/noaa/28222/noaa_28222_DS1.pdf
• File Type:
  [PDF - 2.92 MB ]