edu.ucar.opensky::articles:25305 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T22:45:55.995806 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7z03ct8 https://doi.org/10.26024/rawv-yx53 https Related Dataset #1 Atmospheric River Tracking Method Intercomparison Project (ARTMIP) Tier 2 Reanalysis developer catalogues https://doi.org/10.5067/MEASURES/GPCP/DATA303 https Related Dataset #2 GPCP Precipitation Level 3 Daily 0.5-Degree V3.1 https://doi.org/10.5067/Q5GVUVUIVGO7 https Related Dataset #3 MERRA-2 tavg1_2d_int_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Vertically Integrated Diagnostics V5.12.4 https://doi.org/10.5067/QBZ6MG944HW0 https Related Dataset #4 MERRA-2 inst3_3d_asm_Np: 3d,3-Hourly,Instantaneous,Pressure-Level,Assimilation,Assimilated Meteorological Fields V5.12.4 An overview of ARTMIP's tier 2 reanalysis intercomparison: Uncertainty in the detection of atmospheric rivers and their associated precipitation 2022-04-27T00:00:00Z publication https://n2t.org/ark:/85065/d7z03ct8 https://doi.org/10.1029/2021JD036155 Collow, A. M. author Shields, Christine A. author Guan, B. author Kim, S. author Lora, J. author McClenny, E. author Nardi, K. author Payne, A. author Reid, K. author Shearer, E. author Tomé, R. author Wille, J. author Ramos, A. author Gorodetskaya, I. author Leung, L. author O'Brien, T. author Ralph, F. author Rutz, J. author Ullrich, P. author Wehner, M. author UCAR/NCAR - Library publisher Atmospheric rivers, or long but narrow regions of enhanced water vapor transport, are an important component of the hydrologic cycle as they are responsible for much of the poleward transport of water vapor and result in precipitation, sometimes extreme in intensity. Despite their importance, much uncertainty remains in the detection of atmospheric rivers in large datasets such as reanalyses and century scale climate simulations. To understand this uncertainty, the Atmospheric River Tracking Method Intercomparison Project (ARTMIP) developed tiered experiments, including the Tier 2 Reanalysis Intercomparison that is presented here. Eleven detection algorithms submitted hourly tags--binary fields indicating the presence or absence of atmospheric rivers--of detected atmospheric rivers in the Modern Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2) and European Centre for Medium-Range Weather Forecasts' Reanalysis Version 5 (ERA5) as well as six-hourly tags in the Japanese 55-year Reanalysis (JRA-55). Due to a higher climatological mean for integrated water vapor transport in MERRA-2, atmospheric rivers were detected more frequently relative to the other two reanalyses, particularly in algorithms that use a fixed threshold for water vapor transport. The finer horizontal resolution of ERA5 resulted in narrower atmospheric rivers and an ability to detect atmospheric rivers along resolved coastlines. The fraction of hemispheric area covered by ARs varies throughout the year in all three reanalyses, with different atmospheric river detection tools having different seasonal cycles. 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 2022 American Geophysical Union. None eng geoscientificInformation