Articles | Volume 11, issue 6
https://doi.org/10.5194/gmd-11-2455-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-2455-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
20 Jun 2018
Methods for assessment of models |
| 20 Jun 2018
| 20 Jun 2018
Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design
Christine A. Shields
CORRESPONDING AUTHOR
Climate and Global Dynamics Division, National Center for
Atmospheric Research, Boulder, CO 80302, USA
Jonathan J. Rutz
Science and Technology Infusion Division, National Weather Service
Western Region Headquarters, National Oceanic and Atmospheric
Administration, Salt Lake City, UT 84138, USA
Lai-Yung Leung
Earth Systems Analysis and Modeling, Pacific Northwest National
Laboratory, Richland, WA 99354, USA
F. Martin Ralph
Center for Western Weather and Water Extremes, Scripps Institution
of Oceanography, La Jolla, CA 92037, USA
Michael Wehner
Computational Chemistry, Materials, and Climate Group, Lawrence
Berkeley National Laboratory, Berkeley, CA 94720, USA
Brian Kawzenuk
Center for Western Weather and Water Extremes, Scripps Institution
of Oceanography, La Jolla, CA 92037, USA
Juan M. Lora
Department of Earth, Planetary, and Space Sciences, University of
California, Los Angeles, CA 90095, USA
Elizabeth McClenny
Department of Land, Air and Water Resources, University of California,
Davis, CA 95616, USA
Tashiana Osborne
Center for Western Weather and Water Extremes, Scripps Institution
of Oceanography, La Jolla, CA 92037, USA
Ashley E. Payne
Department of Climate and Space Sciences and Engineering, University
of Michigan, Ann Arbor, MI 48109, USA
Paul Ullrich
Department of Land, Air and Water Resources, University of California,
Davis, CA 95616, USA
Alexander Gershunov
Center for Western Weather and Water Extremes, Scripps Institution
of Oceanography, La Jolla, CA 92037, USA
Naomi Goldenson
Department of Atmospheric Sciences, University of Washington, Seattle,
WA 98195, USA
Bin Guan
Joint Institute for Regional Earth System Science and Engineering,
University of California, Los Angeles, CA 90095, USA
Yun Qian
Earth Systems Analysis and Modeling, Pacific Northwest National
Laboratory, Richland, WA 99354, USA
Alexandre M. Ramos
Instituto Dom Luiz, Faculdade de Ciências, Universidade de
Lisboa, 1749-016 Lisbon, Portugal
Chandan Sarangi
Earth Systems Analysis and Modeling, Pacific Northwest National
Laboratory, Richland, WA 99354, USA
Scott Sellars
Center for Western Weather and Water Extremes, Scripps Institution
of Oceanography, La Jolla, CA 92037, USA
Irina Gorodetskaya
Centre for Environmental and Marine Studies, University of Aveiro,
3810-193 Aveiro, Portugal
Karthik Kashinath
Data & Analytics Services, National Energy Research Scientific
Computing Center (NERSC), Lawrence Berkeley National Laboratory, Berkeley,
CA 94720, USA
Vitaliy Kurlin
Department Computer Science Liverpool, Liverpool, L69 3BX, UK
Kelly Mahoney
Physical Sciences Division, Earth System Research Laboratory,
National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
Grzegorz Muszynski
Data & Analytics Services, National Energy Research Scientific
Computing Center (NERSC), Lawrence Berkeley National Laboratory, Berkeley,
CA 94720, USA
Department Computer Science Liverpool, Liverpool, L69 3BX, UK
Roger Pierce
National Weather Service Forecast Office, National Oceanic and
Atmospheric Administration, San Diego, CA 92127, USA
Aneesh C. Subramanian
Center for Western Weather and Water Extremes, Scripps Institution
of Oceanography, La Jolla, CA 92037, USA
Ricardo Tome
Instituto Dom Luiz, Faculdade de Ciências, Universidade de
Lisboa, 1749-016 Lisbon, Portugal
Duane Waliser
Earth Science and Technology Directorate, Jet Propulsion Laboratory,
Pasadena, CA 91109, USA
Daniel Walton
Institute of the Environment and Sustainability, University of
California, Los Angeles, CA 90095, USA
Gary Wick
Physical Sciences Division, Earth System Research Laboratory,
National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
Anna Wilson
Center for Western Weather and Water Extremes, Scripps Institution
of Oceanography, La Jolla, CA 92037, USA
David Lavers
European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX,
UK
Prabhat
Computational Chemistry, Materials, and Climate Group, Lawrence
Berkeley National Laboratory, Berkeley, CA 94720, USA
Allison Collow
Universities Space Research Association, Columbia, MD 21046, USA
Harinarayan Krishnan
Computational Chemistry, Materials, and Climate Group, Lawrence
Berkeley National Laboratory, Berkeley, CA 94720, USA
Gudrun Magnusdottir
Department of Earth System Science, University of California Irvine, Irvine,
CA 92697, USA
Phu Nguyen
Department of Civil & Environmental Engineering, University of
California Irvine, Irvine, CA 92697, USA
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- Atmospheric Rivers Bring More Frequent and Intense Extreme Rainfall Events Over East Asia Under Global Warming Y. Kamae et al. 10.1029/2021GL096030
- Large-Scale Influences on Atmospheric River–Induced Extreme Precipitation Events along the Coast of Washington State A. Collow et al. 10.1175/JHM-D-19-0272.1
- Multi‐Model Subseasonal Prediction Skill Assessment of Water Vapor Transport Associated With Atmospheric Rivers Over the Western U.S. Z. Zhang et al. 10.1029/2022JD037608
- Atmospheric rivers in the Australia–Asian region under current and future climate in CMIP5 models Y. Xu et al. 10.1071/ES19044
- An anomalous warm-season trans-Pacific atmospheric river linked to the 2021 western North America heatwave R. Mo et al. 10.1038/s43247-022-00459-w
- Global Application of the Atmospheric River Scale B. Guan et al. 10.1029/2022JD037180
- Atmospheric river changes shaped mid-latitude hydroclimate since the mid-Holocene C. Skinner et al. 10.1016/j.epsl.2020.116293
- Simulations of Atmospheric Rivers, Their Variability, and Response to Global Warming Using GFDL’s New High-Resolution General Circulation Model M. Zhao 10.1175/JCLI-D-20-0241.1
- Improved Simulations of Atmospheric River Climatology and Variability in High‐Resolution CESM X. Liu et al. 10.1029/2022MS003081
- Scalable Feature Extraction and Tracking (SCAFET): a general framework for feature extraction from large climate data sets A. Nellikkattil et al. 10.5194/gmd-17-301-2024
- A Deep‐Learning Ensemble Method to Detect Atmospheric Rivers and Its Application to Projected Changes in Precipitation Regime Y. Tian et al. 10.1029/2022JD037041
- Summarizing Relationships among Landfalling Atmospheric Rivers, Integrated Water Vapor Transport, and California Watershed Precipitation 1982–2019 J. Ricciotti & J. Cordeira 10.1175/JHM-D-21-0119.1
- The Atmospheric River Tracking Method Intercomparison Project (ARTMIP): Quantifying Uncertainties in Atmospheric River Climatology J. Rutz et al. 10.1029/2019JD030936
- High‐Tide Floods and Storm Surges During Atmospheric Rivers on the US West Coast C. Piecuch et al. 10.1029/2021GL096820
- Future changes in atmospheric rivers over East Asia under stratospheric aerosol intervention J. Liang & J. Haywood 10.5194/acp-23-1687-2023
- Modulation of Atmospheric River Occurrence and Associated Precipitation Extremes in the North Atlantic Region by European Weather Regimes J. Pasquier et al. 10.1029/2018GL081194
- A performance-based approach to quantify atmospheric river flood risk C. Bowers et al. 10.5194/nhess-22-1371-2022
- Moisture transport contributing to precipitation at the centre of storm Bronagh S. Cuckow et al. 10.1002/wea.4212
- Meridional Heat Transport During Atmospheric Rivers in High‐Resolution CESM Climate Projections C. Shields et al. 10.1029/2019GL085565
- Winter and spring atmospheric rivers in High Mountain Asia: climatology, dynamics, and variability D. Nash et al. 10.1007/s00382-021-06008-z
- A ranking of concurrent precipitation and wind events for the Iberian Peninsula R. Hénin et al. 10.1002/joc.6829
- Climatology of landfalling atmospheric rivers and its attribution to extreme precipitation events over Yangtze River Basin O. Ayantobo et al. 10.1016/j.atmosres.2022.106077
- Identifying Eastern US Atmospheric River Types and Evaluating Historical Trends C. Ramseyer et al. 10.1029/2021JD036198
- ClimateNet: an expert-labeled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather K. Kashinath et al. 10.5194/gmd-14-107-2021
- Influences of North Pacific Ocean Domain Extent on the Western U.S. Winter Hydroclimatology in Variable‐Resolution CESM A. Rhoades et al. 10.1029/2019JD031977
- Extreme Water Vapor Transport During the March 2021 Sydney Floods in the Context of Climate Projections K. Reid et al. 10.1029/2021GL095335
- Increased amplitude of atmospheric rivers and associated extreme precipitation in ultra-high-resolution greenhouse warming simulations A. Nellikkattil et al. 10.1038/s43247-023-00963-7
- Atmospheric Rivers and Snow Accumulation in the Upper Colorado River Basin M. Xiao & D. Lettenmaier 10.1029/2021GL094265
- A Study of AR-, TS-, and MCS-Associated Precipitation and Extreme Precipitation in Present and Warmer Climates M. Zhao 10.1175/JCLI-D-21-0145.1
- Atmospheric rivers and associated precipitation patterns during the ACLOUD and PASCAL campaigns near Svalbard (May–June 2017): case studies using observations, reanalyses, and a regional climate model C. Viceto et al. 10.5194/acp-22-441-2022
- Impact of Atmospheric Rivers on Surface Hydrological Processes in Western U.S. Watersheds X. Chen et al. 10.1029/2019JD030468
- Characterizing the Impact of Atmospheric Rivers on Aerosols in the Western U.S. Z. Hu et al. 10.1029/2021GL096421
- Impacts of Atmospheric Rivers on Precipitation in Southern South America M. Viale et al. 10.1175/JHM-D-18-0006.1
- Recent Warming of Landfalling Atmospheric Rivers Along the West Coast of the United States K. Gonzales et al. 10.1029/2018JD029860
- Column Relative Humidity and Primary Condensation Rate as Two Useful Supplements to Atmospheric River Analysis R. Mo et al. 10.1029/2021WR029678
- Increases in Future AR Count and Size: Overview of the ARTMIP Tier 2 CMIP5/6 Experiment T. O’Brien et al. 10.1029/2021JD036013
- Characteristics and Variability of Winter Northern Pacific Atmospheric River Flavors Y. Zhou et al. 10.1029/2022JD037105
Latest update: 23 Apr 2024
Short summary
ARTMIP (Atmospheric River Tracking Method Intercomparison Project) is a community effort with the explicit goal of understanding the uncertainties, and the implications of those uncertainties, in atmospheric river science solely due to detection algorithm. ARTMIP strives to quantify these differences and provide guidance on appropriate algorithmic choices for the science question posed. Project goals, experimental design, and preliminary results are provided.
ARTMIP (Atmospheric River Tracking Method Intercomparison Project) is a community effort with...
