Literature DB >> 29619115

Cirrus cloud optical and microphysical property retrievals from eMAS during SEAC4RS using bi-spectral reflectance measurements within the 1.88 μm water vapor absorption band.

K Meyer1,2, S Platnick2, G T Arnold3,2, R E Holz4, P Veglio4, J Yorks2, C Wang5.   

Abstract

Previous bi-spectral imager retrievals of cloud optical thickness (COT) and effective particle radius (CER) based on the Nakajima and King (1990) approach, such as those of the operational MODIS cloud optical property retrieval product (MOD06), have typically paired a non-absorbing visible or near-infrared wavelength, sensitive to COT, with an absorbing shortwave or midwave infrared wavelength sensitive to CER. However, in practice it is only necessary to select two spectral channels that exhibit a strong contrast in cloud particle absorption. Here it is shown, using eMAS observations obtained during NASA's SEAC4RS field campaign, that selecting two absorbing wavelength channels within the broader 1.88 μm water vapor absorption band, namely the 1.83 and 1.93 μm channels that have sufficient differences in ice crystal single scattering albedo, can yield COT and CER retrievals for thin to moderately thick single-layer cirrus that are reasonably consistent with other solar and IR imager-based and lidar-based retrievals. A distinct advantage of this channel selection for cirrus cloud retrievals is that the below-cloud water vapor absorption minimizes the surface contribution to measured cloudy TOA reflectance, in particular compared to the solar window channels used in heritage retrievals such as MOD06. This reduces retrieval uncertainty resulting from errors in the surface reflectance assumption, as well as reduces the frequency of retrieval failures for thin cirrus clouds.

Entities:  

Year:  2016        PMID: 29619115      PMCID: PMC5880280          DOI: 10.5194/amt-9-1743-2016

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


  3 in total

1.  Cloud physics lidar: instrument description and initial measurement results.

Authors:  Matthew McGill; Dennis Hlavka; William Hart; V Stanley Scott; James Spinhirne; Beat Schmid
Journal:  Appl Opt       Date:  2002-06-20       Impact factor: 1.980

2.  Refractive indices of water and ice in the 0.65- to 2.5-µm spectral range.

Authors:  L Kou; D Labrie; P Chylek
Journal:  Appl Opt       Date:  1993-07-01       Impact factor: 1.980

3.  Numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting layered media.

Authors:  K Stamnes; S C Tsay; W Wiscombe; K Jayaweera
Journal:  Appl Opt       Date:  1988-06-15       Impact factor: 1.980

  3 in total
  2 in total

1.  Characterizing the information content of cloud thermodynamic phase retrievals from the notional PACE OCI shortwave reflectance measurements.

Authors:  O M Coddington; T Vukicevic; K S Schmidt; S Platnick
Journal:  J Geophys Res Atmos       Date:  2017-07-21       Impact factor: 4.261

2.  Exploring aerosols near clouds with high-spatial-resolution aircraft remote sensing during SEAC4RS.

Authors:  Robert S Spencer; Robert C Levy; Lorraine A Remer; Shana Mattoo; George T Arnold; Dennis L Hlavka; Kerry G Meyer; Alexander Marshak; Eric M Wilcox; Steven E Platnick
Journal:  J Geophys Res Atmos       Date:  2019-01-28       Impact factor: 4.261

  2 in total

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