Accuracy assessment and correction of Vaisala RS92 radiosonde water vapor measurements

نویسندگان

  • Larry M. Miloshevich
  • Holger Vömel
  • David N. Whiteman
  • Thierry Leblanc
چکیده

[1] Relative humidity (RH) measurements from Vaisala RS92 radiosondes are widely used in research and operational applications, but their accuracy is not well characterized as a function of height, RH, and time of day (or solar altitude angle). This study compares RS92 RH measurements to simultaneous water vapor measurements from three reference instruments of known accuracy. Cryogenic frost point hygrometer measurements are used to characterize the RS92 accuracy above the 700-mbar level, microwave radiometer measurements characterize the RS92 accuracy averaged over essentially the lower troposphere, and the RS92 accuracy at the surface is characterized by a system of 6 RH probes with National Institute of Standards and Technology–traceable calibrations. The three RS92 accuracy assessments are combined to yield a detailed estimate of RS92 accuracy for all RH conditions from the surface to the lowermost stratosphere. An empirical correction is derived to remove the mean bias error, yielding corrected RS92 measurements whose bias uncertainty is independent of height or RH and is estimated to be ±4% of the measured RH value for nighttime soundings and ±5% for daytime soundings, plus an RH offset uncertainty of ±0.5% RH that is significant for dry conditions. The accuracy of an individual RS92 sounding is further characterized by the 1-s ‘‘random production variability,’’ estimated to be ±1.5% of the measured RH value. The daytime bias correction must be used with caution, as it is only accurate for clear-sky or near-clear conditions owing to the complicated effect of clouds on the solar radiation error.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Improved Daytime Column-Integrated Precipitable Water Vapor from Vaisala Radiosonde Humidity Sensors

Accurate water vapor profiles from radiosondes are essential for long-term climate prediction, weather prediction, validation of remote sensing retrievals, and other applications. The Vaisala RS80, RS90, and RS92 radiosondes are among the more commonly deployed radiosondes in the world. However, numerous investigators have shown that the daytime water vapor profiles measured by these instrument...

متن کامل

Accuracy of Water Vapor Observations from In-situ and Remote Sensing Techniques: First Results from the Demevap 2011 Campaign at Ohp

The accuracy of water vapour observations from four different operational radiosonde types (Vaisala RS92, MODEM M2K2-DC and M10, and Meteolabor SnowWhite) flows simultaneously on the same ballon are intercompared and compared to GPS and Raman lidar measurements during the DEMEVAP 2011 experiment. The RS92 and Snow-White sondes show a slight moist bias at night-time compared to GPS, while the MO...

متن کامل

Interactive comment on “Evaluation of two Vaisala RS92 radiosonde solar radiative dry bias correction algorithms” by A. M. Dzambo et al

The paper evaluates two different bias correction schemes for Vaisala RS92 measurements. Given that RS92 sensors are used globally to measure tropospheric humidity, the comparison is valuable. Because of my interest in the topic, I am providing a few comments that may help to improve the paper. However, please note that the comments here should not be considered as editor’s decision but solely ...

متن کامل

Reference quality upper-air measurements: GRUAN data processing for the Vaisala RS92 radiosonde

The GCOS (Global Climate Observing System) Reference Upper-Air Network (GRUAN) data processing for the Vaisala RS92 radiosonde was developed to meet the criteria for reference measurements. These criteria stipulate the collection of metadata, the use of well-documented correction algorithms, and estimates of the measurement uncertainty. An important and novel aspect of the GRUAN processing is t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009