Evaluation constitutes a crucial component in the creation and application of numerical models. As these models have escalated in complexity in recent years, there has been an increasing demand for more accurate forecasting, thereby catalyzing substantial advancements in model verification and evaluation techniques. This paper begins with a review of recent domestic and international progress in model evaluation and verification, and subsequently delves into the significant contributions made by Chinese researchers in evaluating the dynamical frameworks of next-gene-ration numerical models, the spatiotemporal variability of the East Asian monsoon, and the assessment of weather and climate conditions around the Qinghai–Xizang Plateau (QXP). Given the identification of precipitation as a key process, the paper presents a comprehensive review of evaluation efforts pertaining to diurnal variations and process evolution in precipitation. The paper concludes by outlining potential future research outlooks, including the integration of multi-source observation data, the development of evaluation techniques specific to certain models and application contexts, and the synergy between model evaluation and machine learning technology.

We developed a dual-satellite stereoscopic cloud top height (CTH) retrieval algorithm based on the visible band (0.65 μm) data of Fengyun-4A (FY-4A) and FY-4B. This algorithm offers an extensive longitude coverage from 55°E to 177°W. The analysis of system error based on error theory shows that the CTH we retrieved has an accuracy of 0.20–0.88 km and an uncertainty of 0.24–1.08 km over the entire area. The space resolution of the CTH we retrieved reached less than 0.005°. We conducted a CTH retrieval experiment and proceeded to compare our results with FY-4B’s CTH product and the Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). Compared to CALIPSO, the CTH we retrieved has a bias of −2.4 km and the correlation coefficient is 0.80. In general, two next-generation geostationary satellites were used simultaneously to retrieve the CTH in our study, demonstrating the ability of this satellite combination to obtain better-quality CTH products by stereoscopic retrieval.