Literature DB >> 29098040

Differences in liquid cloud droplet effective radius and number concentration estimates between MODIS Collections 5.1 and 6 over global oceans.

John Rausch1, Kerry Meyer2,3, Ralf Bennartz1,4, Steven Platnick3.   

Abstract

Differences in cloud droplet effective radius and cloud droplet number concentration (CDNC) estimates inferred from the Aqua MODIS Collections 5.1 and 6 cloud products (MYD06) are examined for warm clouds over global oceans for the year 2008. Individual pixel level retrievals for both collections are aggregated to 1° × 1° and compared globally and regionally for the three main spectral channel pairs used for MODIS cloud optical property retrievals. Comparisons between both collections are performed for cases in which all three effective radii retrievals are classified by the MODIS Cloud Product as valid. The contribution to the observed differences of several key MYD06 Collection 6 algorithm updates are also explored, with a focus on changes to the surface reflectance model, assumed solar irradiance, above cloud emission, cloud top pressure, and pixel registration. Global results show a neutral to positive (> 50 cm-3) change for C6-derived CDNC relative to C5.1 for the 1.6 µm and 2.1 µm channel retrievals, corresponding to a neutral to -2 µm difference in droplet effective radius. For 3.7 µm retrievals, CDNC results show a negative change in the tropics, with differences transitioning toward positive values with increasing latitude spanning -25 to +50 cm-3 related to a +2.5 to -1 µm transition in effective radius. Cloud optical thickness differences were small relative to effective radius, and found to not significantly impact CDNC estimates. Regionally, the magnitude and behavior of the annual CDNC cycle are compared for each effective radius retrieval. Results from this study indicate significant intercollection differences in aggregated values of effective radius due to changes to the pre-computed retrieval lookup tables for ocean scenes, changes to retrieved cloud top pressure, solar irradiance, or above cloud thermal emission, depending upon spectral channel. The observed differences between collections may have implications for existing MODIS derived climatologies and validation studies of effective radius and CDNC.

Entities:  

Year:  2017        PMID: 29098040      PMCID: PMC5662204          DOI: 10.5194/amt-10-2105-2017

Source DB:  PubMed          Journal:  Atmos Meas Tech        ISSN: 1867-1381            Impact factor:   4.176


  2 in total

1.  Aerosols, cloud microphysics, and fractional cloudiness.

Authors:  B A Albrecht
Journal:  Science       Date:  1989-09-15       Impact factor: 47.728

2.  Frequency and causes of failed MODIS cloud property retrievals for liquid phase clouds over global oceans.

Authors:  Hyoun-Myoung Cho; Zhibo Zhang; Kerry Meyer; Matthew Lebsock; Steven Platnick; Andrew S Ackerman; Larry Di Girolamo; Laurent C-Labonnote; Céline Cornet; Jerome Riedi; Robert E Holz
Journal:  J Geophys Res Atmos       Date:  2015-05-09       Impact factor: 4.261

  2 in total
  2 in total

1.  Remote Sensing of Droplet Number Concentration in Warm Clouds: A Review of the Current State of Knowledge and Perspectives.

Authors:  Daniel P Grosvenor; Odran Sourdeval; Paquita Zuidema; Andrew Ackerman; Mikhail D Alexandrov; Ralf Bennartz; Reinout Boers; Brian Cairns; J Christine Chiu; Matthew Christensen; Hartwig Deneke; Michael Diamond; Graham Feingold; Ann Fridlind; Anja Hünerbein; Christine Knist; Pavlos Kollias; Alexander Marshak; Daniel McCoy; Daniel Merk; David Painemal; John Rausch; Daniel Rosenfeld; Herman Russchenberg; Patric Seifert; Kenneth Sinclair; Philip Stier; Bastiaan van Diedenhoven; Manfred Wendisch; Frank Werner; Robert Wood; Zhibo Zhang; Johannes Quaas
Journal:  Rev Geophys       Date:  2018-06-27       Impact factor: 22.000

2.  An Uncertainty Data Set for Passive Microwave Satellite Observations of Warm Cloud Liquid Water Path.

Authors:  Thomas J Greenwald; Ralf Bennartz; Matthew Lebsock; João Teixeira
Journal:  J Geophys Res Atmos       Date:  2018-04-12       Impact factor: 4.261

  2 in total

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