Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Kyle M. Nardi"'
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 10, Pp n/a-n/a (2024)
Abstract The parameterization of subgrid‐scale processes such as boundary layer (PBL) turbulence introduces uncertainty in Earth System Model (ESM) results. This uncertainty can contribute to or exacerbate existing biases in representing key physic
Externí odkaz:
https://doaj.org/article/20aca49ef67a416face1d7ccec3e7f60
Autor:
Christine A. Shields, Ashley E. Payne, Eric Jay Shearer, Michael F. Wehner, Travis Allen O’Brien, Jonathan J. Rutz, L. Ruby Leung, F. Martin Ralph, Allison B. Marquardt Collow, Paul A. Ullrich, Qizhen Dong, Alexander Gershunov, Helen Griffith, Bin Guan, Juan Manuel Lora, Mengqian Lu, Elizabeth McClenny, Kyle M. Nardi, Mengxin Pan, Yun Qian, Alexandre M. Ramos, Tamara Shulgina, Maximiliano Viale, Chandan Sarangi, Ricardo Tomé, Colin Zarzycki
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 6, Pp n/a-n/a (2023)
Abstract Atmospheric rivers (ARs) are long, narrow synoptic scale weather features important for Earth’s hydrological cycle typically transporting water vapor poleward, delivering precipitation important for local climates. Understanding ARs in a w
Externí odkaz:
https://doaj.org/article/6ed5e58d8cde42ef86c3493a2903d9a9
Publikováno v:
Monthly Weather Review. 150:883-906
Recent studies have demonstrated that high-resolution (∼25 km) Earth System Models (ESMs) have the potential to skillfully predict tropical cyclone (TC) occurrence and intensity. However, biases in ESM TCs still exist, largely due to the need to pa
Autor:
Kyle M. Nardi, Daniel S. Harnos, Elizabeth A. Barnes, Laura M. Ciasto, Eric D. Maloney, Cory F. Baggett
Publikováno v:
Weather and Forecasting. 35:2179-2198
Although useful at short and medium ranges, current dynamical models provide little additional skill for precipitation forecasts beyond week 2 (14 days). However, recent studies have demonstrated that downstream forcing by the Madden–Julian oscilla
Autor:
Allison B. Marquardt Collow, Paul A. Ullrich, E. J. Shearer, Elizabeth McClenny, Colin M. Zarzycki, Alan M. Rhoades, Huanping Huang, B. Loring, Christine A. Shields, Yang Zhou, Jonathan J. Rutz, L. Ruby Leung, Héctor Inda Díaz, Kyle M. Nardi, Ashley E. Payne, F. Martin Ralph, Travis A. O'Brien, Irina Gorodetskaya, Chandan Sarangi, Michael Wehner, Bin Guan, Juan M. Lora, Ricardo Tomé, Alexandre M. Ramos
Publikováno v:
Journal of geophysical research. Atmospheres : JGR, vol 127, iss 6
The Atmospheric River (AR) Tracking Method Intercomparison Project (ARTMIP) is a community effort to systematically assess how the uncertainties from AR detectors (ARDTs) impact our scientific understanding of ARs. This study describes the ARTMIP Tie
Publikováno v:
Geophysical Research Letters. 46:9193-9202
Autor:
Kyle M. Nardi, Daniel L. Swain, Elizabeth A. Barnes, Katerina R. Gonzales, Noah S. Diffenbaugh
Publikováno v:
Journal of Geophysical Research: Atmospheres. 124:6810-6826
Publikováno v:
Monthly Weather Review. 146:3343-3362
Atmospheric rivers (ARs)—narrow corridors of high atmospheric water vapor transport—occur globally and are associated with flooding and maintenance of the water supply. Therefore, it is important to improve forecasts of AR occurrence and characte
Autor:
F. Martin Ralph, Bin Guan, Elizabeth A. Barnes, Tashiana Osborne, Scott Sellars, Alexander Gershunov, Kyle M. Nardi, Tamara Shulgina, Brian Kawzenuk, Maryam A. Lamjiri, Gary A. Wick, Anna Wilson, Jonathan J. Rutz
Publikováno v:
Climate Dynamics. 52:4973-4994
Many atmospheric river detection tools (ARDTs) have now been developed. However, their relative performance is not well documented. This paper compares a diverse set of ARDTs by applying them to a single location where a unique 12-year-long time-seri
Autor:
Elizabeth A. Barnes, Samantha N. Zito, Samuel J. Childs, Eric D. Maloney, Kyle M. Nardi, Cory Baggett
Publikováno v:
Journal of Geophysical Research: Atmospheres. 123