Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Eviatar Bach"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This study analyzes coupled atmosphere–ocean variability in the South Atlantic Ocean. To do so, we characterize the spatio-temporal variability of annual mean sea-surface temperature (SST) and sea-level pressure (SLP) using Multichannel Si
Externí odkaz:
https://doaj.org/article/c64ffa9afb5642518fa80636cefc10e8
Autor:
David Vishny, Matthias Morzfeld, Kyle Gwirtz, Eviatar Bach, Oliver R. A. Dunbar, Daniel Hodyss
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 9, Pp n/a-n/a (2024)
Abstract We synthesize knowledge from numerical weather prediction, inverse theory, and statistics to address the problem of estimating a high‐dimensional covariance matrix from a small number of samples. This problem is fundamental in statistics,
Externí odkaz:
https://doaj.org/article/4c73d169c15e4e87bb074793909dc293
Autor:
Eviatar Bach, Michael Ghil
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 1, Pp n/a-n/a (2023)
Abstract Data assimilation (DA) aims to optimally combine model forecasts and observations that are both partial and noisy. Multi‐model DA generalizes the variational or Bayesian formulation of the Kalman filter, and we prove that it is also the mi
Externí odkaz:
https://doaj.org/article/98a2f75b957d4cbd8aa219ada67a5d29
Autor:
Eviatar Bach
Publikováno v:
SoftwareX, Vol 13, Iss , Pp 100631- (2021)
We introduce parasweep, a free and open-source utility for facilitating parallel parameter sweeps with computational models. Instead of requiring parameters to be passed by command-line, which can be error-prone and time-consuming, parasweep leverage
Externí odkaz:
https://doaj.org/article/f4f1837184684d289863618004dbd37d
Autor:
Yingzuo Qin, Yan Li, Ru Xu, Chengcheng Hou, Alona Armstrong, Eviatar Bach, Yang Wang, Bojie Fu
Publikováno v:
Environmental Research Letters, Vol 17, Iss 2, p 024026 (2022)
The development of wind energy is essential for decarbonizing energy production. However, the construction of wind farms changes land surface temperature (LST) and vegetation by modifying land surface properties and disturbing land–atmosphere inter
Externí odkaz:
https://doaj.org/article/97e65340d63543848f1e4391e67ae1ab
Publikováno v:
Journal of Glaciology, Vol 64, Pp 247-258 (2018)
Simple models of glacier volume evolution are important in understanding features of glacier response to climate change, due to the scarcity of data adequate for running more complex models on a global scale. Two quantities of interest in a glacier's
Externí odkaz:
https://doaj.org/article/be068a1450cc45dda5005bcfbc71e06d
Autor:
Eviatar Bach, Daniel T Holmes
Publikováno v:
Journal of Pathology Informatics, Vol 6, Iss 1, Pp 3-3 (2015)
Requisition storage and retrieval are an integral part of the outpatient laboratory testing process. It is frequently necessary to review an original requisition to confirm the ordering physician, patient demographics, diagnostic information, and req
Externí odkaz:
https://doaj.org/article/9d18fc3d9455437ca21f3789d547f456
Autor:
Eviatar Bach, Venkat Krishnamurthy, Jagadish Shukla, Safa Mote, A. Surjalal Sharma, Eugenia Kalnay, Michael Ghil
Predicting the temporal and spatial patterns of South Asian monsoon rainfall within a season is of critical importance due to its impact on agriculture, water availability, and flooding. The monsoon intraseasonal oscillation (MISO) is a robust northw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a002e1dd14fa2ebb25d9838cd8c5b2b
https://doi.org/10.5194/egusphere-egu23-10243
https://doi.org/10.5194/egusphere-egu23-10243
There is a history of simple error growth models designed to capture the key properties of error growth in operational numerical weather prediction models. We propose here such a scalar model that relies on the previous ones, but captures the effect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18eed43d8b2a3f754a546752aeb84563
https://doi.org/10.5194/egusphere-egu23-8640
https://doi.org/10.5194/egusphere-egu23-8640
Autor:
Eviatar Bach, Michael Ghil
Data assimilation (DA) aims to optimally combine model forecasts and noisy observations. Multi-model DA generalizes the variational or Bayesian formulation of the Kalman filter, and we prove here that it is also the minimum variance linear unbiased e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e368226e017d6d25836766492c7e070
https://doi.org/10.5194/egusphere-egu22-3065
https://doi.org/10.5194/egusphere-egu22-3065