We develop a new gridded monthly mean climatology (MMC) in the upper troposphere and lower stratosphere (UTLS) from 2006 to 2023 using the dry temperature profiles from multiple Global Navigation Satellite System (GNSS) Radio Occultation (RO) missions processed by the GNSS RO Science and Data Center (SDC) at the NOAA Center for Satellite Applications and Research (STAR). The multiple RO missions include Formosa Satellite Mission 3/Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC-1), Formosa Satellite Mission 7/ COSMIC-2, SPIRE, and Meteorological Operational satellite (MetOp)-A, -B, -C. The sampling error in MMC is corrected by using ERA-5 reanalysis. The robustness of the sampling error correction method is validated through three different reanalysis models. The result shows that the mission difference in MMC is significantly reduced after sampling error correction, and the uncertainty caused by using different models in the correction method can be neglected. This STAR MMC is then compared with the ROM SAF MMC and the MMC derived from ERA-5, MERRA-2, and JRA-55 reanalyses, exhibiting good agreement. Various climate signals, such as Quasi-Biennial Oscillation (QBO) and El Niño–Southern Oscillation (ENSO), can be identified from STAR MMC. The global temperature trends present a transition from a prominent warming of 0.309 ± 0.085 K/Decade in the upper troposphere to a robust cooling of -0.281 ± 0.044 K/Decade in the mid-stratosphere, consistent with the well-known response of the UTLS region to long-term global warming. These results demonstrate that STAR MMC can capture climate signals and monitor long-term climate change.