Journal article
An Overview of ARTMIP's Tier 2 Reanalysis Intercomparison: Uncertainty in the Detection of Atmospheric Rivers and Their Associated Precipitation
ABM Collow, CA Shields, B Guan, S Kim, JM Lora, EE McClenny, K Nardi, A Payne, K Reid, EJ Shearer, R Tomé, JD Wille, AM Ramos, IV Gorodetskaya, LR Leung, TA O’Brien, FM Ralph, J Rutz, PA Ullrich, M Wehner
Journal of Geophysical Research Atmospheres | Published : 2022
DOI: 10.1029/2021JD036155
Abstract
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 fie..
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Awarded by Fundação para a Ciência e a Tecnologia
Funding Acknowledgements
ARTMIP is a grassroots community effort and includes a collection of international researchers from universities, laboratories, and agencies. Cochairs and committee members include Jonathan Rutz, Christine Shields, L. Ruby Leung, F. Martin Ralph, Michael Wehner, Ashley Payne, and Travis O'Brien, and Allison Collow. Details on catalogue developers can be found on the ARTMIP website, . ARTMIP has received support from the U.S. Department of Energy Office of Science Biological and Environmental Research (BER) as part of the Regional and Global Model Analysis program area, and the Center for Western Weather and Water Extremes (CW3E) at Scripps Institute for Oceanography at the University of California, San Diego. Allison Collow was supported by NASA's Earth Science Research Program and would like to thank Mike Bosilovich for his support and guidance through this endeavor. B.G. was supported by NASA (grants 80NSSC20K1344 and 80NSSC21K1007) and the California Department of Water Resources. A.M.R. was supported by the Scientific Employment Stimulus 2017 (CEECIND/00027/2017), and also by the project "HOLMODRIVE-North Atlantic Atmospheric Patterns Influence on Western Iberia Climate: From the Late Glacial to the Present (PTDC/CTA-GEO/29029/2017), both funded by FundacAo para a Ciencia e a Tecnologia(FCT), Portugal. J.D.W was supported by the Agence Nationale de la Recherche projects ANR-20-CE01-0013 (ARCA), ANR-14-CE01-0001 (ASUMA), and ANR-16-CE01-0011 (EAIIST). T.A.O was supported in part by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Climate and Environmental Sciences Division, Regional & Global Model Analysis Program, under Award Number DE-AC02-05CH11231; and in part by the Environmental Resilience Institute, funded by Indiana University's Prepared for Environmental Change Grand Challenge initiative. E.J.S. was supported by the Ridge to Reef Graduate Training Program funded by NSF-NRT award DGE-1735040. K.J.R was supported by the Australian Government Research Training Program Scholarship, Australian Research Council (DE180100638) and the National Computational Infrastructure Australia. C. A. Shields was supported by the U.S. Department of Energy, Office of Science, Office of Biological & Environmental Research (BER), Regional and Global Model Analysis (RGMA) component of the Earth and Environmental System Modeling Program under Award Number DE-SC0022070 and National Science Foundation (NSF) IA 1947282. As well as the National Center for Atmospheric Research (NCAR), which is a major facility sponsored by the NSF under Cooperative Agreement No. 1852977.