Evaluation of two Vaisala RS92 radiosonde solar radiative dry bias correction algorithms

Dzambo, Andrew M.; Turner, David D.; Mlawer, Eli J.

doi:10.5194/amt-9-1613-2016

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Evaluation of two Vaisala RS92 radiosonde solar radiative dry bias correction algorithms

2016
By Dzambo, Andrew M. ; Turner, David D. ; Mlawer, Eli J.
Source: Atmos. Meas. Tech., 9, 1613–1626

[PDF-528.76 KB]

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Details:

Journal Title:

Atmospheric Measurement Techniques
Personal Author:

Dzambo, Andrew M. ; Turner, David D. ; Mlawer, Eli J.

Dzambo, Andrew M. ; Turner, David D. ; Mlawer, Eli J. Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory) ; CIMMS (Cooperative Institute for Mesoscale Meteorological Studies)

OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory) ; CIMMS (Cooperative Institute for Mesoscale Meteorological Studies) Less -
Description:

Solar heating of the relative humidity (RH) probe on Vaisala RS92 radiosondes results in a large dry bias in the upper troposphere. Two different algorithms (Miloshevich et al., 2009, MILO hereafter; and Wang et al., 2013, WANG hereafter) have been designed to account for this solar radiative dry bias (SRDB). These corrections are markedly different with MILO adding up to 40 % more moisture to the original radiosonde profile than WANG; however, the impact of the two algorithms varies with height. The accuracy of these two algorithms is evaluated using three different approaches: a comparison of precipitable water vapor (PWV), downwelling radiative closure with a surface-based microwave radiometer at a high-altitude site (5.3 km m.s.l.), and upwelling radiative closure with the space-based Atmospheric Infrared Sounder (AIRS).

The PWV computed from the uncorrected and corrected RH data is compared against PWV retrieved from ground-based microwave radiometers at tropical, midlatitude, and arctic sites. Although MILO generally adds more moisture to the original radiosonde profile in the upper troposphere compared to WANG, both corrections yield similar changes to the PWV, and the corrected data agree well with the ground-based retrievals.
Keywords:

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Algorithms Radiosondes
Source:

Atmos. Meas. Tech., 9, 1613–1626
DOI:

https://doi.org/10.5194/amt-9-1613-2016
Document Type:

Journal Article
Rights Information:

CC BY
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Submitted
Main Document Checksum:

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urn:sha256:6d6dd172601e2f7252fc97a7e3d8c789bbdac9518b30099b18f22e249833bc9c
Download URL:

https://repository.library.noaa.gov/view/noaa/32179/noaa_32179_DS1.pdf
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