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Sensitivity of Historical Climate Simulations to Uncertain Aerosol Forcing 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (13)
作者:  Dittus, Andrea J.;  Hawkins, Ed;  Wilcox, Laura J.;  Sutton, Rowan T.;  Smith, Christopher J.;  Andrews, Martin B.;  Forster, Piers M.
收藏  |  浏览/下载:7/0  |  提交时间:2020/05/25
historical aerosol forcing  climate model simulations  Forcing uncertainty  Transient Climate Response  Large ensemble  
Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms 期刊论文
ATMOSPHERIC RESEARCH, 2020, 236
作者:  Ahmed, Kamal;  Sachindra, D. A.;  Shahid, Shamsuddin;  Iqbal, Zafar;  Nawaz, Nadeem;  Khan, Najeebullah
收藏  |  浏览/下载:16/0  |  提交时间:2020/07/02
General circulation models  Multi-model ensemble  Taylor skill score  Machine learning algorithms  Temperature and precipitation  Pakistan  
Internal Variability Dominates Over Externally Forced Ocean Circulation Changes Seen Through CFCs 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (9)
作者:  Lester, J. G.;  Lovenduski, N. S.;  Graven, H. D.;  Long, M. C.;  Lindsay, K.
收藏  |  浏览/下载:10/0  |  提交时间:2020/05/13
internal variability  Southern Ocean  model ensemble  Circumpolar Deep Water  Subantarctic Mode Water  CFC12  
A Large Ensemble Approach to Quantifying Internal Model Variability Within the WRF Numerical Model 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (7)
作者:  Bassett, R.;  Young, P. J.;  Blair, G. S.;  Samreen, F.;  Simm, W.
收藏  |  浏览/下载:5/0  |  提交时间:2020/07/02
ensemble  initial conditions  internal model variability (IMV)  regional climate model (RCM)  uncertainty  Weather Research and Forecasting (WRF)  
Exploring dynamical phase transitions with cold atoms in an optical cavity 期刊论文
NATURE, 2020, 580 (7805) : 602-+
作者:  Halbach, Rebecca;  Miesen, Pascal;  Joosten, Joep;  Taskopru, Ezgi;  Rondeel, Inge;  Pennings, Bas;  Vogels, Chantal B. F.;  Merkling, Sarah H.;  Koenraadt, Constantianus J.;  Lambrechts, Louis;  van Rij, Ronald P.
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/03

Interactions between light and an ensemble of strontium atoms in an optical cavity can serve as a testbed for studying dynamical phase transitions, which are currently not well understood.


Interactions between atoms and light in optical cavities provide a means of investigating collective (many-body) quantum physics in controlled environments. Such ensembles of atoms in cavities have been proposed for studying collective quantum spin models, where the atomic internal levels mimic a spin degree of freedom and interact through long-range interactions tunable by changing the cavity parameters(1-4). Non-classical steady-state phases arising from the interplay between atom-light interactions and dissipation of light from the cavity have previously been investigated(5-11). These systems also offer the opportunity to study dynamical phases of matter that are precluded from existence at equilibrium but can be stabilized by driving a system out of equilibrium(12-16), as demonstrated by recent experiments(17-22). These phases can also display universal behaviours akin to standard equilibrium phase transitions(8,23,24). Here, we use an ensemble of about a million strontium-88 atoms in an optical cavity to simulate a collective Lipkin-Meshkov-Glick model(25,26), an iconic model in quantum magnetism, and report the observation of distinct dynamical phases of matter in this system. Our system allows us to probe the dependence of dynamical phase transitions on system size, initial state and other parameters. These observations can be linked to similar dynamical phases in related systems, including the Josephson effect in superfluid helium(27), or coupled atomic(28) and solid-state polariton(29) condensates. The system itself offers potential for generation of metrologically useful entangled states in optical transitions, which could permit quantum enhancement in state-of-the-art atomic clocks(30,31).


  
Ensemble Streamflow Forecasting Using an Energy Balance Snowmelt Model Coupled to a Distributed Hydrologic Model with Assimilation of Snow and Streamflow Observations 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (12) : 10813-10838
作者:  Gichamo, Tseganeh Z.;  Tarboton, David G.
收藏  |  浏览/下载:12/0  |  提交时间:2020/02/16
ensemble streamflow forecast  Utah Energy Balance (UEB) snowmelt model  Research Distributed Hydrologic Model (RDHM)  data assimilation  ensemble Kalman filter (EnKF)  particle filter (PF)  
A Stochastic Approach to Modeling Tidal Creek Evolution: Exploring Environmental Influences on CreekTopologies Through Ensemble Predictions 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2019, 46 (23) : 13836-13844
作者:  Li, Xiaorong;  Leonardi, Nicoletta;  Plater, Andrew J.
收藏  |  浏览/下载:5/0  |  提交时间:2020/02/17
tidal creek evolution  stochastic simulation  ensemble predictions  wetland topography  vegetation  reduced complexity model  
Assimilation of High-Resolution Soil Moisture Data Into an Integrated Terrestrial Model for a Small-Scale Head-Water Catchment 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (12) : 10358-10385
作者:  Gebler, S.;  Kurtz, W.;  Pauwels, V. R. N.;  Kollet, S. J.;  Vereecken, H.;  Franssen, H-J Hendricks
收藏  |  浏览/下载:7/0  |  提交时间:2020/02/16
integrated terrestrial model  data assimilation  hillslope  soil water content  Ensemble Kalman Filter  
Seasonal forecasts of North Atlantic tropical cyclone activity in the North American Multi-Model Ensemble 期刊论文
CLIMATE DYNAMICS, 2019, 53 (12) : 7169-7184
作者:  Manganello, Julia V.;  Cash, Benjamin A.;  Hodges, Kevin I.;  Kinter, James L.
收藏  |  浏览/下载:10/0  |  提交时间:2020/02/17
Seasonal forecasts  North Atlantic  Tropical cyclone frequency  North American Multi-Model Ensemble  
A dynamical statistical framework for seasonal streamflow forecasting in an agricultural watershed 期刊论文
CLIMATE DYNAMICS, 2019, 53 (12) : 7429-7445
作者:  Slater, Louise J.;  Villarini, Gabriele;  Bradley, A. Allen;  Vecchi, Gabriel A.
收藏  |  浏览/下载:9/0  |  提交时间:2020/02/17
Seasonal forecasting  Probabilistic forecast  Streamflow forecasts  North-American Multi Model ensemble (NMME)