… variances of three different datasets. Here we give an overview of the historical … the 3CH
and select other methods for estimating error variances that use either two or three datasets. We …

… We apply the three-cornered hat (3CH) method to estimate refractivity, bending angle,
and specific humidity error variances for a number of datasets widely used in research and/or …

… This study uses the three-cornered hat (3CH) method to estimate the observation error
variances (… to the surface pressure level or the mean sea level within the atmosphere. The other …

This study estimates the random error variances and standard deviations (STDs) for four
datasets: Global Hawk (GH) dropsondes (DROP), the High-Altitude Monolithic Microwave …

… under dry and wet atmospheric conditions, which are the so-… top pressures are greater than
50 hPa or whose bottom … use the 3CH method to estimate the error variance of RO refractivity …

… data sets, we can estimate three apparent error variances for FY-4A temperature profiles. …
error variances by the 3CH method, we assumed that the error covariance terms are zero or …

… simulate three data sets with different random errors or biases that we specify. We begin
by choosing an arbitrary, but realistic atmospheric data set of profiles as Truth, to which errors …

… climate, land surface and atmosphere. In recent years, … based on the three-cornered hat
(TCH) method and a generalized … are mainly caused by errors in SM algorithms or models, and …

… and cannot be expanded to a regional or global scale. The … ′, which is right the error
variance 𝑟𝑘𝑘 of product 𝑇𝑘 that … with NOAA/GDAS analysis atmospheric datasets, the GPCP …

… The 3CH algorithm can simultaneously estimate the error variances of three or more … of
atmospheric observation data, this section analyzes the atmospheric parameter error variances of …