The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design
Open accessAbstract
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 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.
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A Scale to Characterize the Strength and Impacts of Atmospheric Rivers
Ralph, F. M., Rutz, J. J., Cordeira, J. M., Dettinger, M., Anderson, M., Reynolds, D., Schick, L. J., & Smallcomb, C. (2019) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-18-0023.1 · Cited by 490
Self-citationResponses and impacts of atmospheric rivers to climate change
Payne, A. E., Demory, M.-E., Leung, L. R., Ramos, A. M., Shields, C. A., Rutz, J. J., Siler, N., Villarini, G., Hall, A., & Ralph, F. M. (2020) · Nature Reviews Earth & Environment · doi:10.1038/s43017-020-0030-5 · Cited by 398
Self-citationInternet of things for environmental sustainability and climate change
Salam, A. (2020) · Internet of things · doi:10.1007/978-3-030-35291-2_2 · Cited by 68
Metadata
- Authors
- Shields, C. A., Rutz, J. J., Leung, L.-Y., Ralph, F. M., Wehner, M., Kawzenuk, B., Lora, J. M., McClenny, E., Osborne, T., Payne, A. E., Ullrich, P., Gershunov, A., Goldenson, N., Guan, B., Qian, Y., Ramos, A. M., Sarangi, C., Sellars, S., Gorodetskaya, I., Kashinath, K., Kurlin, V., Mahoney, K., Muszynski, G., Pierce, R., Subramanian, A. C., Tome, R., Waliser, D., Walton, D., Wick, G., Wilson, A., Lavers, D., Prabhat, Collow, A., Krishnan, H., Magnusdottir, G., & Nguyen, P.
- Venue
- Geoscientific Model Development
- Publisher
- Copernicus GmbH
- Published
- 2018-06-20
- Volume
- 11
- Issue
- 6
- Pages
- 2455-2474
- ISSN
- 1991-959X (ISSN-L)
- 1991-9603
- OpenAlex
- W2783901284
- Cited by
- 369
- References
- 56
- FWCI
- 19.72
- Type
- journal article
- Language
- en
- Open access
- gold
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- Shields, C. A., Rutz, J. J., Leung, L.-Y., Ralph, F. M., Wehner, M., Kawzenuk, B., Lora, J. M., McClenny, E., Osborne, T., Payne, A. E., Ullrich, P., Gershunov, A., Goldenson, N., Guan, B., Qian, Y., Ramos, A. M., Sarangi, C., Sellars, S., Gorodetskaya, I., . . . Nguyen, P. (2018). Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design. Geoscientific Model Development. https://doi.org/10.5194/gmd-11-2455-2018
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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