Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Yong-Fei Zhang"'
Autor:
Yong‐Fei Zhang, Mitchell Bushuk, Michael Winton, Bill Hurlin, William Gregory, Jack Landy, Liwei Jia
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 24, Pp n/a-n/a (2023)
Abstract Because of a spring predictability barrier, the seasonal forecast skill of Arctic summer sea ice is limited by the availability of melt‐season sea ice thickness (SIT) observations. The first year‐round SIT observations, retrieved from Cr
Externí odkaz:
https://doaj.org/article/d339bbe64182499fbd312ebd78929ab7
Publikováno v:
Cancer Medicine, Vol 10, Iss 14, Pp 4677-4696 (2021)
Abstract Introduction Traditional cancer therapy has many disadvantages such as low selectivity and high toxicity of chemotherapy, as well as insufficient efficacy of targeted therapy. To enhance the cytotoxic effect and targeting ability, while redu
Externí odkaz:
https://doaj.org/article/465221cf5cab4a98aaa469c2f709222e
Publikováno v:
Advances in Civil Engineering, Vol 2019 (2019)
Fly ash and lime have been frequently employed to reduce the swelling potential of expansive soils. Laboratory experiments, scanning electron microscopy (SEM), and X-ray diffraction (XRD) were used in this study to investigate the stabilizing effect
Externí odkaz:
https://doaj.org/article/607716970877446c97d0449e36b530c1
Publikováno v:
Advances in Materials Science and Engineering, Vol 2019 (2019)
To probe into the dynamic mechanical properties of expansive soil stabilized by fly ash and lime under impact load, the split-Hopkinson pressure bar (SHPB) test was carried out in this study. An analysis was made on the dynamic mechanical property an
Externí odkaz:
https://doaj.org/article/5f8172dd4c1a4e5b90942b1bf09ef968
Autor:
Yong-Fei Zhang, Mitchell Bushuk, Michael Winton, Bill Hurlin, Thomas Delworth, Matthew Harrison, Liwei Jia, Feiyu Lu, Anthony Rosati, Xiaosong Yang
Publikováno v:
Journal of Climate. 35:4233-4252
The current GFDL seasonal prediction system, the Seamless System for Prediction and Earth System Research (SPEAR), has shown skillful prediction of Arctic sea ice extent with atmosphere and ocean constrained by observations. In this study we present
Autor:
Kevin Raeder, Timothy J. Hoar, Yong-Fei Zhang, Jeffrey L. Anderson, Nancy Collins, Edward Blanchard-Wrigglesworth, Cecilia M. Bitz
Publikováno v:
The Cryosphere, Vol 15, Pp 1277-1284 (2021)
Uncertain or inaccurate parameters in sea ice models influence seasonal predictions and climate change projections in terms of both mean and trend. We explore the feasibility and benefits of applying an ensemble Kalman filter (EnKF) to estimate param
Autor:
Yong-Fei Zhang, Cecilia M. Bitz, Jeffrey L. Anderson, Nancy S. Collins, Timothy J. Hoar, Kevin D. Raeder, Edward Blanchard-Wrigglesworth
Uncertain or inaccurate parameters in sea ice models influence seasonal predictions and climate change projections in terms of both mean and trend. We explore the feasibility and benefits of applying an Ensemble Kalman filter (EnKF) to estimate param
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65691690750d467593c566584205ea03
https://doi.org/10.5194/tc-2020-96
https://doi.org/10.5194/tc-2020-96
Supplementary material to 'Estimating Parameters in a Sea Ice Model using an Ensemble Kalman Filter'
Autor:
Yong-Fei Zhang, Cecilia M. Bitz, Jeffrey L. Anderson, Nancy S. Collins, Timothy J. Hoar, Kevin D. Raeder, Edward Blanchard-Wrigglesworth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d36f78096bad3a058c278134eed3f01
https://doi.org/10.5194/tc-2020-96-supplement
https://doi.org/10.5194/tc-2020-96-supplement
Autor:
Jonathan Hendricks, Cecilia M. Bitz, Kevin Raeder, Jeffrey L. Anderson, Nancy Collins, François Massonnet, Yong-Fei Zhang, Timothy J. Hoar
Publikováno v:
Journal of Climate, Vol. 31, no. 15, p. 1 (2018)
Simulating Arctic sea ice conditions up to the present and predicting them several months in advance has high stakeholder value, yet remains challenging. Advanced data assimilation (DA) methods combine real observations with model forecasts to produc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0b685663dce53dfbb4c75048ab0b922
https://hdl.handle.net/2078.1/197397
https://hdl.handle.net/2078.1/197397
Autor:
Ally M. Toure, Zong-Liang Yang, Jeffrey L. Anderson, Timothy J. Hoar, Matthew Rodell, Yong Fei Zhang
Publikováno v:
Journal of Geophysical Research: Atmospheres. 119:7091-7103
To improve snowpack estimates in Community Land Model version 4 (CLM4), the Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover fraction (SCF) was assimilated into the Community Land Model version 4 (CLM4) via the Data Assimilation Resea