Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Patricola CM"'
Publikováno v:
Journal of Geophysical Research: Atmospheres, vol 126, iss 6
Atmospheric rivers (ARs) account for a large portion of winter precipitation in the western US. To evaluate the sources of AR and precipitation predictability at subseasonal-to-seasonal timescales, we examine the relationships between two climate mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::c10720fdf7520d3bf64c46ac67858166
https://escholarship.org/uc/item/6ns206h6
https://escholarship.org/uc/item/6ns206h6
Autor:
Gutowski, WJ, Ullrich, PA, Hall, A, Leung, LR, O’Brien, TA, Patricola, CM, Arritt, RW, Bukovsky, MS, Calvin, KV, Feng, Z, Jones, AD, Kooperman, GJ, Monier, E, Pritchard, MS, Pryor, SC, Qian, Y, Rhoades, AM, Roberts, AF, Sakaguchi, K, Urban, N, Zarzycki, C
Publikováno v:
Bulletin of the American Meteorological Society, vol 101, iss 5
Regional climate modeling addresses our need to understand and simulate climatic processes and phenomena unresolved in global models. This paper highlights examples of current approaches to and innovative uses of regional climate modeling that deepen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::590e6c7c5b93b9cf8e2c7803f8f03d60
https://escholarship.org/uc/item/6x9381vh
https://escholarship.org/uc/item/6x9381vh
Autor:
O'Brien, TA, Risser, MD, Loring, B, Elbashandy, AA, Krishnan, H, Johnson, J, Patricola, CM, O'Brien, JP, Mahesh, A, Prabhat, Ramirez, SA, Rhoades, AM, Charn, A, Diaz, HI, Collins, WD
Publikováno v:
Geoscientific Model Development, vol 13, iss 12
It has become increasingly common for researchers to utilize methods that identify weather features in climate models. There is an increasing recognition that the uncertainty associated with choice of detection method may affect our scientific unders
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::29afa08196e17316f7c0e2ef031fbaa4
https://escholarship.org/uc/item/9tn726tq
https://escholarship.org/uc/item/9tn726tq
Autor:
Rhoades, AM, Jones, AD, Srivastava, A, Huang, H, O'Brien, TA, Patricola, CM, Ullrich, PA, Wehner, M, Zhou, Y
Publikováno v:
Geophysical Research Letters, vol 47, iss 17
Atmospheric rivers (ARs) can be a boon and bane to water resource managers as they have the ability to replenish water reserves, but they can also generate million-to-billion-dollar flood damages. To investigate how anthropogenic climate change may i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::78392b04340f36edacbd453835fcfa79
https://escholarship.org/uc/item/2140k478
https://escholarship.org/uc/item/2140k478
Publikováno v:
Geophysical Research Letters, vol 47, iss 16
While El Niño–Southern Oscillation (ENSO) influences eastern North Pacific (ENP) tropical cyclones (TCs) through a variety of atmospheric processes when examined concurrently, ocean pathways dominate at longer lead times. The eastward displacement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f99078ff687caa198820aef9521ec7e2
https://escholarship.org/uc/item/0xt359gk
https://escholarship.org/uc/item/0xt359gk
Autor:
Patricola, CM
Publikováno v:
Patricola, CM. (2018). Tropical cyclones are becoming sluggish news-and-views. Nature, 558(7708), 36-37. doi: 10.1038/d41586-018-05303-w. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/36b9b33v
© 2018 Nature. The speed at which tropical cyclones travel has slowed globally in the past seven decades, especially over some coastlines. This effect can compound flooding by increasing regional total rainfall from storms.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::3b8a963d68ea84c416fa5a39940c4370
http://www.escholarship.org/uc/item/36b9b33v
http://www.escholarship.org/uc/item/36b9b33v
Publikováno v:
Hsu, Wei-Ching; Patricola, Christina M; & Chang, Ping. (2018). The impact of climate model sea surface temperature biases on tropical cyclone simulations. Climate Dynamics. doi: 10.1007/s00382-018-4577-5. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/0c82w82v
Climate Dynamics, vol 53, iss 1-2
Climate Dynamics, vol 53, iss 1-2
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature. Sea surface temperature (SST) patterns both local to and remote from tropical cyclone (TC) development regions are important drivers of the variability of TC activity. Therefore, reliabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5e42794919586b99474bc7ccb71416e8
http://www.escholarship.org/uc/item/0c82w82v
http://www.escholarship.org/uc/item/0c82w82v
Publikováno v:
Nature Geoscience, vol 9, iss 2
Patricola, CM; Chang, P; & Saravanan, R. (2016). Degree of simulated suppression of Atlantic tropical cyclones modulated by flavour of El Nino. Nature Geoscience, 9(2), 155-160. doi: 10.1038/ngeo2624. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/3rx6z8x3
Patricola, CM; Chang, P; & Saravanan, R. (2016). Degree of simulated suppression of Atlantic tropical cyclones modulated by flavour of El Nino. Nature Geoscience, 9(2), 155-160. doi: 10.1038/ngeo2624. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/3rx6z8x3
© 2016 Macmillan Publishers Limited. El Nino/Southern Oscillation, the dominant mode of interannual climate variability, strongly influences tropical cyclone activity. During canonical El Nino, the warm phase, Atlantic tropical cyclones are suppress
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::35b77334ada6a4e30e9e8c4f52d64a61
https://escholarship.org/uc/item/3rx6z8x3
https://escholarship.org/uc/item/3rx6z8x3
Publikováno v:
Climate Dynamics, vol 43, iss 9-10
Extratropical North Atlantic cooling has been tied to droughts over the Sahel in both paleoclimate observations and modeling studies. This study, which uses an atmospheric general circulation model (GCM) coupled to a slab ocean model that simulates t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9c7614f1dc17ba3ff64b6aeb633c5d67
https://escholarship.org/uc/item/4w9030f2
https://escholarship.org/uc/item/4w9030f2
Autor:
Fu D; International Laboratory for High-Resolution Earth System Prediction, Texas A&M University, College Station, TX, USA. fudan1991@tamu.edu.; Department of Oceanography, Texas A&M University, College Station, TX, USA. fudan1991@tamu.edu., Chang P; International Laboratory for High-Resolution Earth System Prediction, Texas A&M University, College Station, TX, USA.; Department of Oceanography, Texas A&M University, College Station, TX, USA.; Department of Atmospheric Sciences, Texas A&M University, College Station, TX, USA., Patricola CM; Department of Geological and Atmospheric Sciences, Iowa State University, Ames, IA, USA. cmp28@iastate.edu.; Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. cmp28@iastate.edu., Saravanan R; International Laboratory for High-Resolution Earth System Prediction, Texas A&M University, College Station, TX, USA.; Department of Atmospheric Sciences, Texas A&M University, College Station, TX, USA., Liu X; International Laboratory for High-Resolution Earth System Prediction, Texas A&M University, College Station, TX, USA.; Department of Oceanography, Texas A&M University, College Station, TX, USA., Beck HE; Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA.
Publikováno v:
Nature communications [Nat Commun] 2021 Jul 20; Vol. 12 (1), pp. 4422. Date of Electronic Publication: 2021 Jul 20.