edu.ucar.opensky::articles:21732 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-25T15:55:48.546056 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7xk8j92 https://doi.org/10.5065/D62R3QFS https Related Dataset #1 3-hourly MERRA2 IVT, uIVT, vIVT, IWV data computed for ARTMIP https://doi.org/10.5067/QBZ6MG944HW0 https Related Dataset #2 MERRA-2 inst3_3d_asm_Np: 3d,3-Hourly,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields V5.12.4 Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design 2018-06-20T00:00:00Z publication https://n2t.org/ark:/85065/d7xk8j92 https://doi.org/10.5194/gmd-11-2455-2018 Shields, Christine A. author Rutz, J. J. author Leung, L. author Ralph, F. M. author Wehner, M. author Kawzenuk, B. author Lora, J. M. author McClenny, E. author Osborne, T. author Payne, Ashley E. author Ullrich, P. author Gershunov, A. author Goldenson, N. author Guan, B. author Qian, Y. author Ramos, A. M. author Sarangi, C. author Sellars, S. author Gorodetskaya, I. author Kashinath, K. author Kurlin, V. author Mahoney, K. author Muszynski, G. author Pierce, R. author Subramanian, A. C. author Tome, R. author Waliser, D. author Walton, D. author Wick, G. author Wilson, A. author Lavers, D. author Collow, A. author Krishnan, H. author Magnusdottir, G. author Nguyen, P. author UCAR/NCAR - Library publisher The Atmospheric River Tracking Method Intercomparison Project (ARTMIP) is an international collaborative effort to understand and quantify the uncertainties in atmospheric river (AR) science based on detection algorithm alone. Currently, there are many AR identification and tracking algorithms in the literature with a wide range of techniques and conclusions. ARTMIP strives to provide the community with information on different methodologies and provide guidance on the most appropriate algorithm for a given science question or region of interest. All ARTMIP participants will implement their detection algorithms on a specified common dataset for a defined period of time. The project is divided into two phases: Tier 1 will utilize the Modern-Era Retrospective analysis for Research and Applications, version 2 (MERRA-2) reanalysis from January 1980 to June 2017 and will be used as a baseline for all subsequent comparisons. Participation in Tier 1 is required. Tier 2 will be optional and include sensitivity studies designed around specific science questions, such as reanalysis uncertainty and climate change. High-resolution reanalysis and/or model output will be used wherever possible. Proposed metrics include AR frequency, duration, intensity, and precipitation attributable to ARs. Here, we present the ARTMIP experimental design, timeline, project requirements, and a brief description of the variety of methodologies in the current literature. We also present results from our 1-month "proof-of-concept" trial run designed to illustrate the utility and feasibility of the ARTMIP project. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright 2018 Author(s). This work is licensed under a Creative Commons Attribution 4.0 International license. None eng geoscientificInformation