Radiation dry bias correction of Vaisala RS92 humidity data and its impacts on historical radiosonde data

AbstractThe Vaisala RS92 radiosonde is the most widely used type of sonde in the current global radiosonde network. One of the largest biases in the RS92 humidity data is its daytime solar radiation dry bias (SRDB). An algorithm [referred to as NCAR radiation bias correction (NRBC)] was developed to correct the SRDB based on a more complicated algorithm developed by the Global Climate Observing System (GCOS) Reference Upper-Air Network (GRUAN). The NRBC to relative humidity (RH) is a function of the measured RH and temperature, and the temperature solar radiation correction. The latter varies with pressure, season, and time of the day. The RH correction has a mean magnitude of about 2%–4% and 6%–8% in the lower–midtroposphere and upper troposphere, respectively. The NRBC is evaluated against the GRUAN-corrected RS92 data and the ground-based GPS-estimated precipitable water (PW). The corrected RH agrees with the GRUAN data within ±0.5% on average, with standard deviations of about 1%–2% and 2%–6% in the l...

[1]  Junhong Wang,et al.  Trends in Tropospheric Humidity from 1970 to 2008 over China from a Homogenized Radiosonde Dataset , 2012 .

[2]  Peter W. Thorne,et al.  A New Approach to Homogenize Daily Radiosonde Humidity Data , 2011 .

[3]  Richard H. Johnson,et al.  Quality-Controlled Upper-Air Sounding Dataset for TiMREX/SoWMEX: Development and Corrections , 2010 .

[4]  J. Dykema,et al.  A guide for upper-air reference measurements , 2010 .

[5]  Sung H. Byun,et al.  A new type of troposphere zenith path delay product of the international GNSS service , 2009 .

[6]  David N. Whiteman,et al.  Accuracy assessment and correction of Vaisala RS92 radiosonde water vapor measurements , 2009 .

[7]  Jean-Luc Redelsperger,et al.  Radiosonde humidity bias correction over the West African region for the special AMMA reanalysis at ECMWF , 2009 .

[8]  Thomas C. Peterson,et al.  Reference Upper-Air Observations for Climate: Rationale, Progress, and Plans , 2009 .

[9]  F. Guichard,et al.  Correction of Humidity Bias for Vaisala RS80-A Sondes during the AMMA 2006 Observing Period , 2008 .

[10]  David D. Turner,et al.  Dry Bias in Vaisala RS90 Radiosonde Humidity Profiles over Antarctica , 2008 .

[11]  Shepard A. Clough,et al.  Improved Daytime Column-Integrated Precipitable Water Vapor from Vaisala Radiosonde Humidity Sensors , 2008 .

[12]  Junhong Wang,et al.  Systematic Errors in Global Radiosonde Precipitable Water Data from Comparisons with Ground-Based GPS Measurements , 2008 .

[13]  M. Fujita,et al.  Correction for Radiation Dry Bias Found in RS92 Radiosonde Data during the MISMO Field Experiment , 2008 .

[14]  Junhong Wang,et al.  A near-global, 2-hourly data set of atmospheric precipitable water from ground-based GPS measurements , 2007 .

[15]  Holger Vömel,et al.  Radiation Dry Bias of the Vaisala RS92 Humidity Sensor , 2007 .

[16]  Russell S. Vose,et al.  Overview of the Integrated Global Radiosonde Archive , 2006 .

[17]  David Carlson,et al.  Corrections of Humidity Measurement Errors from the Vaisala RS80 Radiosonde—Application to TOGA COARE Data , 2002 .

[18]  W. H. Henry Corrections for humidity , 1978 .