Wei-Ting Chen1, *
Chun-Yian Su2
Shih-Hao Su 3
1Department of Atmospheric Sciences, National Taiwan University
2Center for Weather and Climate Disaster Research, National Taiwan University
3Department of Atmospheric and Geological Sciences, Private Chinese Culture University
*weitingc@ntu.edu.tw
Over recent decades, advancements in satellite retrieval technology have provided invaluable remote sensing data for atmospheric convection research. These datasets include multiple physical variables related to convective structures and environments, serving as essential benchmarks for evaluating atmospheric models. Cloud-resolving simulations and ground-based observations further refine satellite retrieval products. Current research trends focus on integrating satellite-derived variables with reanalysis datasets to comprehensively study convection and its environment. However, due to differences in spatiotemporal resolution among products, it’s vital to optimize data integration strategies. This three-year team research project aims to combine FORMOSAT products with other satellite products in the orbit and reanalysis data. The objective is to systematically produce integrated multi-satellite datasets that cater to specific research needs related to atmospheric convection, thereby enhancing the application of FORMOSAT data in weather and climate studies. The main project is responsible for acquiring and processing multiple satellite products and reanalysis data while developing spatiotemporal co-location strategies tailored to the needs of three sub-projects. Sub-project 1 will focus on evaluating and improving the convective parameterization of the TaiESM global climate model, with an emphasis on meridional circulation during the East Asian winter season. This sub-project investigates the transition of cloud layers and boundary layer structures from mid to low latitudes under continental cold air outbreaks, using multi-sensor satellite data to produce process-oriented diagnostics. Sub-project 2 will concentrate on the organization process of convective clusters to tropical cyclone seeds over tropical oceans. This project will utilize the tracking algorithm for convective systems to capture the structural and environmental characteristics throughout the convective lifecycle. The algorithm will be applied to the cloud-resolving simulation under idealized rotating radiative-convective equilibrium and the multi-satellite observations in the western North Pacific region to conduct statistical comparisons from a perspective based on convection systems. Sub-project 3 will target low clouds and shallow convection over complex terrains of Northern Taiwan. Various ground-based instruments will be deployed in northern Taiwan, alongside intensive observational experiments, to validate the low cloud detection and classification by passive satellite sensors. The other satellite products overpassing the region simultaneously will provide a comprehensive context for environmental thermodynamics, precipitation, and radiation. Throughout the three years, the main project will work closely with the sub-projects to identify the required physical variables and their spatiotemporal frequencies. Specific datasets will be produced for each sub-project, with their feedback to refine and optimize the data integration methods. The scale of data production will expand each year, ultimately converging on effective data integration strategies. By the end of the project, multiple long-term integrated satellite datasets will be systematically produced to meet various research needs and will be made publicly available to the research community. To achieve these objectives, the project will collaborate with international experts in convection theory, global modeling, satellite remote sensing, and ground-based observations. The project outcomes will explore the potential applications of FORMOSAT products in convection research, highlighting their value to atmospheric model developers and ground-based observation experts while increasing the visibility of FORMOSAT data in the global scientific community.
關鍵詞：GNSS-RO, GNSS-R, Convection, Global Climate Model, Cloud Resolving Model, Ground-based Observation, Boundary Layer, Meridional Overturning Circulation, Stratocumulus, Organized Convection
