Journal
ENVIRONMENTAL MODELLING & SOFTWARE
Volume 127, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2020.104638
Keywords
Land data assimilation; Common software; Multidisciplinary applications; Parallel computing; Remote sensing
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Funding
- Strategic Priority Research Program of the Chinese Academy of Sciences [XDA20100104]
- National Natural Science Foundation of China [41801270, 41730642]
- 13th Five-year Informatization Plan of Chinese Academy of Sciences [XXH13505-06]
- Foundation for Excellent Youth Scholars of NIEER, CAS
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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.
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