Mn. England et al., ATMOSPHERIC MOISTURE MEASUREMENTS - A MICROWAVE RADIOMETER - RADIOSONDE COMPARISON, IEEE transactions on geoscience and remote sensing, 31(2), 1993, pp. 389-398
The NASA/Goddard Space Flight Center Crustal Dynamics Project microwav
e Water Vapor Radiometer (WVR-J03) is used to measure the thermal emis
sion of the sky at three frequencies (20.7, 22.2, and 31.4 GHz). Measu
rements were taken during the Atmospheric Moisture Intercomparison Stu
dy (ATMIS) held at Wallops Island, VA during April 1989. These measure
ments were compared with brightness temperatures inferred from measure
ments from VAISALA radiosonde packages launched every 3 hours during t
he experiment period. An error analysis for the radiosonde-inferred br
ightness temperatures was performed assuming reasonable random uncerta
inties for the pressure, temperature, and humidity measurements and pr
opagating these uncertainties through the analysis algorithm. For the
assumed uncertainties (sigma(P) = sigma(T) = 0.84 K, and sigma(RH) = 5
% RH) the dominant contribution to the total uncertainty comes from th
e temperature measurement (66% - 88%) whereas the relative humidity me
asurement contributes only 2% - 8%, except in the vicinity of the wate
r vapor line, where the contribution is 10% - 20%. Sky brightness temp
erature random errors range from 0.03 K to 0.6 K, with systematic erro
rs between 0.4 K and 1.8 K. Two different water vapor emission models
were used for the derivation of the brightness temperatures from the r
adiosonde measurements. The Liebe model and VAISALA radiosonde data gi
ve better agreement with the WVR for the 20.7 and 22.2 GHz frequencies
(mean differences [WVR - VAI] of -0.32 +/- 0.56 K and -0.22 +/- 0.77
K, respectively) than does the Waters model and VAISALA radiosonde dat
a. Agreement is best at 31.4 GHz using the Waters model (mean differen
ce [WVR - VAI] -0.28 +/- 0.5 K), although in all cases the differences
are less than the estimated uncertainties on the radiosonde inferred
brightness temperatures. Differences between the two models increase a
s the moisture content increases and vary as a function of frequency.