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
Download
- Final revised paper (published on 20 Jun 2018)
- Supplement to the final revised paper
- Preprint (discussion started on 09 Jan 2018)
- Supplement to the preprint
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
RC1: 'Review of Shields et al.', Anonymous Referee #1, 05 Mar 2018
-
AC1: 'Response to Reviewer 1', Christine Shields, 16 Mar 2018
-
AC1: 'Response to Reviewer 1', Christine Shields, 16 Mar 2018
-
RC2: 'Revision of gmd-2017-295', Anonymous Referee #2, 17 Apr 2018
-
AC2: 'Response to Reviewer 2', Christine Shields, 18 Apr 2018
-
AC2: 'Response to Reviewer 2', Christine Shields, 18 Apr 2018
Peer-review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Christine Shields on behalf of the Authors (09 May 2018)
Author's response
Manuscript
ED: Publish as is (18 May 2018) by Volker Grewe
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...
