Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design
Abstract
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 agiven 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 themore »
- Authors:
-
more »
- National Center for Atmospheric Research, Boulder, CO (United States)
- National Oceanic and Atmospheric Administration, Salt Lake City, UT (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Scripps Institution of Oceanography, La Jolla, CA (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Univ. of California, Los Angeles, CA (United States)
- Univ. of California, Davis, CA (United States)
- Univ. of Michigan, Ann Arbor, MI (United States)
- Univ. of Washington, Seattle, WA (United States)
- Univ. de Lisboa, Lisbon (Portugal)
- Univ. of Aveiro, Aveiro (Portugal)
- Dept. Computer Science Liverpool, Liverpool (United Kingdom)
- National Oceanic and Atmospheric Administration, Boulder, CO (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Dept. Computer Science Liverpool, Liverpool (United Kingdom)
- National Oceanic and Atmospheric Administration, San Diego, CA (United States)
- Jet Propulsion Lab., Pasadena, CA (United States)
- European Centre for Medium-Range Weather Forecasts, Reading (United Kingdom)
- Universities Space Research Assoc., Columbia, MD (United States)
- Univ. of California, Irvine, CA (United States)
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Contributing Org.:
- Prabhat
- OSTI Identifier:
- 1458773
- Alternate Identifier(s):
- OSTI ID: 1506318
- Report Number(s):
- PNNL-SA-130655
Journal ID: ISSN 1991-9603
- Grant/Contract Number:
- AC05-76RL01830; AC02-05CH11231
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- Geoscientific Model Development (Online)
- Additional Journal Information:
- Journal Volume: 11; Journal Issue: 6; Journal ID: ISSN 1991-9603
- Publisher:
- European Geosciences Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 58 GEOSCIENCES
Citation Formats
Shields, Christine A., Rutz, Jonathan J., Leung, Lai -Yung, Ralph, F. Martin, Wehner, Michael, Kawzenuk, Brian, Lora, Juan M., McClenny, Elizabeth, Osborne, Tashiana, Payne, Ashley E., Ullrich, Paul, Gershunov, Alexander, Goldenson, Naomi, Guan, Bin, Qian, Yun, Ramos, Alexandre M., Sarangi, Chandan, Sellars, Scott, Gorodetskaya, Irina, Kashinath, Karthik, Kurlin, Vitaliy, Mahoney, Kelly, Muszynski, Grzegorz, Pierce, Roger, Subramanian, Aneesh C., Tome, Ricardo, Waliser, Duane, Walton, Daniel, Wick, Gary, Wilson, Anna, Lavers, David, Collow, Allison, Krishnan, Harinarayan, Magnusdottir, Gudrun, and Nguyen, Phu. Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design. United States: N. p., 2018.
Web. doi:10.5194/gmd-11-2455-2018.
Shields, Christine A., Rutz, Jonathan J., Leung, Lai -Yung, Ralph, F. Martin, Wehner, Michael, Kawzenuk, Brian, Lora, Juan M., McClenny, Elizabeth, Osborne, Tashiana, Payne, Ashley E., Ullrich, Paul, Gershunov, Alexander, Goldenson, Naomi, Guan, Bin, Qian, Yun, Ramos, Alexandre M., Sarangi, Chandan, Sellars, Scott, Gorodetskaya, Irina, Kashinath, Karthik, Kurlin, Vitaliy, Mahoney, Kelly, Muszynski, Grzegorz, Pierce, Roger, Subramanian, Aneesh C., Tome, Ricardo, Waliser, Duane, Walton, Daniel, Wick, Gary, Wilson, Anna, Lavers, David, Collow, Allison, Krishnan, Harinarayan, Magnusdottir, Gudrun, & Nguyen, Phu. Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design. United States. https://doi.org/10.5194/gmd-11-2455-2018
Shields, Christine A., Rutz, Jonathan J., Leung, Lai -Yung, Ralph, F. Martin, Wehner, Michael, Kawzenuk, Brian, Lora, Juan M., McClenny, Elizabeth, Osborne, Tashiana, Payne, Ashley E., Ullrich, Paul, Gershunov, Alexander, Goldenson, Naomi, Guan, Bin, Qian, Yun, Ramos, Alexandre M., Sarangi, Chandan, Sellars, Scott, Gorodetskaya, Irina, Kashinath, Karthik, Kurlin, Vitaliy, Mahoney, Kelly, Muszynski, Grzegorz, Pierce, Roger, Subramanian, Aneesh C., Tome, Ricardo, Waliser, Duane, Walton, Daniel, Wick, Gary, Wilson, Anna, Lavers, David, Collow, Allison, Krishnan, Harinarayan, Magnusdottir, Gudrun, and Nguyen, Phu. 2018.
"Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design". United States. https://doi.org/10.5194/gmd-11-2455-2018. https://www.osti.gov/servlets/purl/1458773.
@article{osti_1458773,
title = {Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design},
author = {Shields, Christine A. and Rutz, Jonathan J. and Leung, Lai -Yung and Ralph, F. Martin and Wehner, Michael and Kawzenuk, Brian and Lora, Juan M. and McClenny, Elizabeth and Osborne, Tashiana and Payne, Ashley E. and Ullrich, Paul and Gershunov, Alexander and Goldenson, Naomi and Guan, Bin and Qian, Yun and Ramos, Alexandre M. and Sarangi, Chandan and Sellars, Scott and Gorodetskaya, Irina and Kashinath, Karthik and Kurlin, Vitaliy and Mahoney, Kelly and Muszynski, Grzegorz and Pierce, Roger and Subramanian, Aneesh C. and Tome, Ricardo and Waliser, Duane and Walton, Daniel and Wick, Gary and Wilson, Anna and Lavers, David and Collow, Allison and Krishnan, Harinarayan and Magnusdottir, Gudrun and Nguyen, Phu},
abstractNote = {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 agiven 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.},
doi = {10.5194/gmd-11-2455-2018},
url = {https://www.osti.gov/biblio/1458773},
journal = {Geoscientific Model Development (Online)},
issn = {1991-9603},
number = 6,
volume = 11,
place = {United States},
year = {Wed Jun 20 00:00:00 EDT 2018},
month = {Wed Jun 20 00:00:00 EDT 2018}
}
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Works referencing / citing this record:
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- Journal of Geophysical Research: Atmospheres
A Novel Atmospheric River Identification Algorithm
journal, July 2019
- Pan, Mengxin; Lu, Mengqian
- Water Resources Research, Vol. 55, Issue 7
Global Climate Model Ensemble Approaches for Future Projections of Atmospheric Rivers
journal, October 2019
- Massoud, E. C.; Espinoza, V.; Guan, B.
- Earth's Future, Vol. 7, Issue 10
A Framework to Delineate Precipitation‐Runoff Regimes: Precipitation Versus Snowpack in the Western United States
journal, November 2019
- Chen, Xiaodong; Duan, Zhuoran; Leung, L. Ruby
- Geophysical Research Letters, Vol. 46, Issue 22
Meridional Heat Transport During Atmospheric Rivers in High‐Resolution CESM Climate Projections
journal, December 2019
- Shields, Christine A.; Rosenbloom, Nan; Bates, Susan
- Geophysical Research Letters, Vol. 46, Issue 24
Impact of Atmospheric Rivers on Surface Hydrological Processes in Western U.S. Watersheds
journal, August 2019
- Chen, Xiaodong; Leung, L. Ruby; Wigmosta, Mark
- Journal of Geophysical Research: Atmospheres, Vol. 124, Issue 16
The Atmospheric River Tracking Method Intercomparison Project (ARTMIP): Quantifying Uncertainties in Atmospheric River Climatology
journal, December 2019
- Rutz, Jonathan J.; Shields, Christine A.; Lora, Juan M.
- Journal of Geophysical Research: Atmospheres, Vol. 124, Issue 24
Tracking Atmospheric Rivers Globally: Spatial Distributions and Temporal Evolution of Life Cycle Characteristics
journal, December 2019
- Guan, Bin; Waliser, Duane E.
- Journal of Geophysical Research: Atmospheres, Vol. 124, Issue 23
Impact of Distinct Origin Locations on the Life Cycles of Landfalling Atmospheric Rivers Over the U.S. West Coast
journal, November 2019
- Zhou, Yang; Kim, Hyemi
- Journal of Geophysical Research: Atmospheres, Vol. 124, Issue 22
Unusual Atmospheric‐River‐Like Structures Coming From Africa Induce Extreme Precipitation Over the Western Mediterranean Sea
journal, January 2020
- Lorente‐Plazas, R.; Montavez, J. P.; Ramos, A. M.
- Journal of Geophysical Research: Atmospheres, Vol. 125, Issue 2
West Antarctic surface melt triggered by atmospheric rivers
journal, October 2019
- Wille, Jonathan D.; Favier, Vincent; Dufour, Ambroise
- Nature Geoscience, Vol. 12, Issue 11
Precipitation regime change in Western North America: The role of Atmospheric Rivers
journal, July 2019
- Gershunov, Alexander; Shulgina, Tamara; Clemesha, Rachel E. S.
- Scientific Reports, Vol. 9, Issue 1
Tropical–Mid-Latitude Interactions: Case Study of an Inland-Penetrating Atmospheric River During a Major Winter Storm Over North America
journal, March 2019
- Mo, Ruping; Lin, Hai
- Atmosphere-Ocean, Vol. 57, Issue 3
Ocean warming pattern effects on future changes in East Asian atmospheric rivers
journal, May 2019
- Kamae, Youichi; Mei, Wei; Xie, Shang-Ping
- Environmental Research Letters, Vol. 14, Issue 5
Atmospheric rivers drive flood damages in the western United States
journal, December 2019
- Corringham, Thomas W.; Ralph, F. Martin; Gershunov, Alexander
- Science Advances, Vol. 5, Issue 12
Influence of Boreal Winter Intraseasonal Variation of Aleutian Low on Water Vapor Transport and Atmospheric Rivers
journal, January 2019
- Xiong, Yating; Chen, Qiuyu; Ren, Xuejuan
- Atmosphere, Vol. 10, Issue 2
Topological data analysis and machine learning for recognizing atmospheric river patterns in large climate datasets
journal, January 2019
- Muszynski, Grzegorz; Kashinath, Karthik; Kurlin, Vitaliy
- Geoscientific Model Development, Vol. 12, Issue 2
Modulation of Atmospheric River Occurrence and Associated Precipitation Extremes in the North Atlantic Region by European Weather Regimes
text, January 2019
- Pasquier, J. T.; Pfahl, S.; Grams, C. M.
- Karlsruhe