A weighted average temperature model for the Yunnan-Guizhou region considering multiple factors

Xue Wang

doi:10.54097/0eb47r18

Authors

Xue Wang

DOI:

https://doi.org/10.54097/0eb47r18

Keywords:

Weighted average temperature, Yunnan-Guizhou region, GNSS water vapor retrieval, Multivariate nonlinear regression

Abstract

Addressing the issue of complex terrain in the Yunnan-Guizhou region and the insufficient applicability of existing weighted mean temperature (Tm) models, this paper constructs a multi-factor, multivariate nonlinear Tm empirical model (YGTm) based on data from six sounding stations spanning 2010 to 2019. Internal consistency, external consistency, and leave-one-out cross-validation were employed to compare the model with Bevis, GPT2w, and HGPT2 models. The results indicate that the YGTm model exhibits a root mean square error (RMS) of 2.52 K, representing a 15%–39% improvement in accuracy compared to the comparative models; the relative error of atmospheric precipitable water vapor (PWV) retrieved based on YGTm is only 0.85% on average. This model can provide high-precision Tm support for GNSS water vapor retrieval in the Yunnan-Guizhou region.

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