Common software for land data assimilation is urgently needed to implement a wide variety of assimilation applications; however, a fast, easy-to-use, and multidisciplinary application-oriented assimilation platform has not been achieved. Therefore, we developed Common software for Nonlinear and non-Gaussian Land Data Assimilation (ComDA). ComDA integrates multiple algorithms (including diverse Kalman and particle filters), models and observation operators (e.g., common land model (CoLM), Advanced Integral Equation Model (AIEM)), and provides general interfaces for additional operators. Using mixed-language programming and parallel computing technologies (Open Multi-Processing (OpenMP), Message Passing Interface (MPI) and Compute Unified Device Architecture (CUDA)), ComDA can assimilate various land surface variables and remote sensing observations. High-performance computing and synthetic tests and real-world tests indicate that ComDA achieves the standard of common land data assimilation software with parallel computation, multiple operators, and assimilation algorithms and is compatible with many models. ComDA can be applied for multidisciplinary data assimilation.

迫切需要通用的土地数据同化软件来实现各种各样的同化应用程序；但是，尚未实现一种快速，易于使用且跨学科的面向应用程序的同化平台。因此，我们开发了用于非线性和非高斯土地数据同化（ComDA）的通用软件。ComDA集成了多种算法（包括各种卡尔曼滤波器和粒子滤波器），模型和观测算子（例如，通用陆地模型（CoLM），高级积分方程模型（AIEM）），并为其他算子提供了通用接口。使用混合语言编程和并行计算技术（开放式多处理（OpenMP），消息传递接口（MPI）和计算统一设备体系结构（CUDA）），ComDA可以吸收各种陆地表面变量和遥感观测结果。高性能计算和综合测试以及真实世界的测试表明，ComDA通过并行计算，多个运算符和同化算法达到了通用陆地数据同化软件的标准，并且与许多模型兼容。ComDA可用于多学科数据同化。