## 1 Introduction  
Presently, the Radio Occultation (RO) method is recognized as one of the most accurate, expeditious, and straightforward approaches for acquiring atmospheric profiles [1]. In pursuit of advancing satellite weather observations, PlanetQ, established in 2012, has dedicated its efforts to the development, launch, and operation of the initial commercial constellation of GNSS-RO weather satellites. Known as GNOMES (GNSS Navigation and Occultation Measurement Satellites), this groundbreaking constellation comprises 20 Low Earth Orbiting (LEO) satellites, each equipped with the cutting-edge fourth-generation\"Pyvis\" RO sensor. This technological advancement positions PlanetiQ at the forefront of satellite-based weather observation, promising heightened precision and efficiency in global atmospheric monitoring. For further details, refer to PlanetiQ's official technology page [2]. The GNOMES constellation, set to collect over 50,000 soundings per day and approximately 400 million data observations, is poised to revolutionize weather forecasting, space weather prediction, and climate analytics [2]. The exploration RO profiles stand as a central tenet in the realm of atmospheric science research, with a pronounced focus on harnessing the capabilities of numerical weather prediction (NWP) models and the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) satellite. Myriad investigations have delved into the meticulous comparison of RO profiles sourced from diverse missions with those derived from the esteemed COSMIC satellite or intricate NWP models. The overarching objective of these inquiries lies in the discerning scrutiny of the precision and dependability of RO measurements in capturing nuanced atmospheric parameters [3]. This study aims to analyze the spatiotemporal distribution of PlanetiQ observations during its initial 198 operating days, filling a crucial gap in prior research. By examining how RO observations are distributed across Earth vectors, annual days, and daily hours, the research seeks to understand the strengths and limitations of the preliminary observations conducted by the PlanetiQ mission. To assess the reliability of the obtained atmospheric profiles, comparisons will be made with COSMIC RO profiles and NWP models. Through this comparative analysis, the study aims to provide insights into the overall quality of the PlanetiQ mission's data and its potential integration with established atmospheric models, thereby contributing to advancements in atmospheric science and forecasting capabilities. Comparing RO profiles with GFS and ECMWF models provides a comprehensive evaluation framework, leveraging the global coverage and high vertical resolution of RO data to systematically assess model performance and forecast accuracy. This approach enhances confidence in both the quality of RO data and the skill of numerical weather prediction models, contributing to advancements in atmospheric science and weather forecasting capabilities. The utilization of RO data has gained substantial recognition in recent years due to its unparalleled accuracy and efficiency in capturing atmospheric profiles [4]. With advancements in technology and the deployment of satellite constellations like the COSMIC-2 mission, which consists of six satellites equipped with advanced RO instruments, the availability of high-resolution atmospheric data has increased remarkably [5]. Studies have extensively explored the applications of RO data in various fields, including weather forecasting, climate monitoring, and space weather prediction. Furthermore, the integration of RO observations with other satellite datasets and ground-based measurements has facilitated a comprehensive understanding of atmospheric dynamics and improved the performance of numerical weather prediction models [6].