TY - JOUR
T1 - Atmospheric River Tracking Method Intercomparison Project (ARTMIP)
T2 - Project goals and experimental design
AU - Shields, Christine A.
AU - Rutz, Jonathan J.
AU - Leung, Lai Yung
AU - Martin Ralph, F.
AU - Wehner, Michael
AU - Kawzenuk, Brian
AU - Lora, Juan M.
AU - McClenny, Elizabeth
AU - Osborne, Tashiana
AU - Payne, Ashley E.
AU - Ullrich, Paul
AU - Gershunov, Alexander
AU - Goldenson, Naomi
AU - Guan, Bin
AU - Qian, Yun
AU - Ramos, Alexandre M.
AU - Sarangi, Chandan
AU - Sellars, Scott
AU - Gorodetskaya, Irina
AU - Kashinath, Karthik
AU - Kurlin, Vitaliy
AU - Mahoney, Kelly
AU - Muszynski, Grzegorz
AU - Pierce, Roger
AU - Subramanian, Aneesh C.
AU - Tome, Ricardo
AU - Waliser, Duane
AU - Walton, Daniel
AU - Wick, Gary
AU - Wilson, Anna
AU - Lavers, David
AU - Prabhat,
AU - Collow, Allison
AU - Krishnan, Harinarayan
AU - Magnusdottir, Gudrun
AU - Nguyen, Phu
N1 - Publisher Copyright:
© Author(s) 2018.
PY - 2018/6/20
Y1 - 2018/6/20
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85048862842
U2 - 10.5194/gmd-11-2455-2018
DO - 10.5194/gmd-11-2455-2018
M3 - Article
AN - SCOPUS:85048862842
SN - 1991-959X
VL - 11
SP - 2455
EP - 2474
JO - Geoscientific Model Development
JF - Geoscientific Model Development
IS - 6
ER -