[A-AS06] Atmospheric (Stratosphere-troposphere) Processes And their Role in Climate

[AAS06-02] The APARC Reanalysis Intercomparison Project (A-RIP) and the Reanalysis Intercomparison Dataset (RID): Advancing Reanalysis Comparisons

★Invited Papers

*Patrick Martineau¹, Gloria L. Manney², Beatriz Monge-Sanz³, Krzysztof Wargan⁴, Jonathon S. Wright⁵, Masatomo Fujiwara⁶, Sylvia Ampadu⁷, Blanca Ayarzagüena⁸, Sean M. Davis⁹, Mohamadou Diallo¹⁰, Yayoi Harada¹¹, Lynn Harvey¹², Emma Knowland¹³, Froila M. Palmeiro¹⁴, Felix Ploeger¹⁰, Muhammad Zeeshaan Shadid¹⁵ (1.Japan Agency for Marine-Earth Science and Technology, 2.NorthWest Research Associates, Inc, Socorro, NM, United States; New Mexico Institute of Mining and Technology, Socorro, NM USA, 3.Atmospheric Oceanic and Planetary Physics, Physics Department, University of Oxford, Oxford, UK, 4.NASA Goddard Space Flight Center, Greenbelt, United States; Science Systems and Applications, Inc., MD, United States, 5.Tsinghua University, Department of Earth System Science, Beijing, China, 6.Hokkaido Univ, Sapporo, Japan, 7.University of Ghana, Accra, Ghana, 8.Universidad Complutense de Madrid, Madrid, Spain, 9.Chemical Sciences Division, NOAA Earth System Research Laboratory; Cooperative Institute for Research in Environmental Sciences, Boulder, United States, 10.Forschungszentrum Jülich GmbH, IEK-7, Jülich, Germany, 11.Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan, 12.Laboratory for Atmospheric and Space Physics, University of Colorado-Boulder, Boulder, United States, 13.National Aeronautics and Space Administration, Washington, DC, USA, 14.CMCC Foundation - Euro-Mediterranean Center on Climate Change, Italy, 15.University of the Punjab, Lahore, Pakistan)

Keywords:Reanalyses, Comparison, Dataset

Reanalysis datasets are widely used to study atmospheric processes, but differences among reanalysis products can lead to significant discrepancies in key diagnostics. The Atmospheric Processes And their Role in Climate (APARC) Reanalysis Intercomparison Project (A-RIP) (https://s-rip.github.io) is a coordinated effort to compare reanalysis diagnostics, identify underlying differences, provide guidance on their appropriate use, and contribute to the future development of reanalysis products through collaboration with data centers and users. Building on the outcomes of the first phase (S-RIP), this presentation will outline A-RIP’s objectives and introduce the Reanalysis Intercomparison Dataset (RID)—a comprehensive dataset designed to facilitate intercomparison across major global reanalyses. The RID provides zonal-mean diagnostics of fundamental atmospheric variables on a standardized grid, along with derived quantities such as the terms of the transformed Eulerian mean momentum and thermodynamic equations, as well as selected two-dimensional fields. Key findings from past intercomparison efforts and the role of the RID in advancing A-RIP’s objectives will be discussed.