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Using Analysis Corrections to Address Model Error in Atmospheric Forecasts

CITE Title : Using Analysis Corrections to Address Model Error in Atmospheric Forecasts Personal Author(s) : Crawford, William;Frolov, Sergey;McLay, Justin;Reynolds, Carolyn A.;Barton, Neil;Ruston, Benjamin;Bishop, Craig H.; Published Date : 2020 Source : Monthly Weather Review, 148(9), 3729-3745. DOI : https://doi.org/10.1175/MWR-D-20-0008.1 Journal Title : Monthly Weather Review Crawford, William et al. (2020). Using Analysis Corrections to Address Model Error in Atmospheric Forecasts. 148(9). https://doi.org/10.1175/MWR-D-20-0008.1 Crawford, William et al. "Using Analysis Corrections to Address Model Error in Atmospheric Forecasts" 148, no. 9 (2020), https://doi.org/10.1175/MWR-D-20-0008.1 Crawford, William et al. "Using Analysis Corrections to Address Model Error in Atmospheric Forecasts" vol. 148, no. 9, 2020, https://doi.org/10.1175/MWR-D-20-0008.1 Export RIS Citation Information.

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Crawford, William

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Frolov, Sergey

2020 | Monthly Weather Review, 148(9), 3729-3745.

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This paper illustrates that analysis corrections, when applied as a model tendency term, can be used to improve nonlinear model forecasts and are cons...
Ensemble forecasting greatly expands the prediction horizon for internal “weather” of the ocean

CITE Title : Ensemble forecasting greatly expands the prediction horizon for internal “weather” of the ocean Personal Author(s) : Thoppil, Prasad G.;Frolov, Sergey;Rowley, Clark D.;Reynolds, Carolyn A.;Jacobs, Gregg A.;Joseph Metzger, E.;Hogan, Patrick J.;Barton, Neil;Wallcraft, Alan J.;Smedstad, Ole Martin;Shriver, Jay F.; Published Date : 2021 Source : Communications Earth & Environment 2, Article number: 89 DOI : https://doi.org/10.1038/s43247-021-00151-5 Journal Title : Communications Earth & Environment Thoppil, Prasad G. et al. (2021). Ensemble forecasting greatly expands the prediction horizon for internal “weather” of the ocean. 2https://doi.org/10.1038/s43247-021-00151-5 Thoppil, Prasad G. et al. "Ensemble forecasting greatly expands the prediction horizon for internal “weather” of the ocean" 2 (2021), https://doi.org/10.1038/s43247-021-00151-5 Thoppil, Prasad G. et al. "Ensemble forecasting greatly expands the prediction horizon for internal “weather” of the ocean" vol. 2, 2021, https://doi.org/10.1038/s43247-021-00151-5 Export RIS Citation Information.

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Thoppil, Prasad G.

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Frolov, Sergey

2021 | Communications Earth & Environment 2, Article number: 89

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Mesoscale eddies dominate energetics of the ocean, modify mass, heat and freshwater transport and primary production in the upper ocean. However, the ...
The Navy's Earth System Prediction Capability: A new global coupled atmosphere-ocean-sea ice prediction system designed for daily to subseasonal forecasting

CITE Title : The Navy's Earth System Prediction Capability: A new global coupled atmosphere-ocean-sea ice prediction system designed for daily to subseasonal forecasting Personal Author(s) : Barton, Neil;Metzger, E. Joseph;Reynolds, Carolyn A.;Ruston, Benjamin;Rowley, Clark;Smedstad, Ole Martin;Ridout, James A.;Wallcraft, Alan;Frolov, Sergey;Hogan, Patrick;Janiga, Matthew A.;Shriver, Jay F.;McLay, Justin;Thoppil, Prasad;Huang, Andrew;Crawford, William;Whitcomb, Timothy;Bishop, Craig H.;Zamudio, Luis;Phelps, Michael; Published Date : 2020 Source : Earth and Space Science, 8, e2020EA001199 DOI : https://doi.org/10.1029/2020EA001199 Journal Title : Earth and Space Science Barton, Neil et al. (2020). The Navy's Earth System Prediction Capability: A new global coupled atmosphere-ocean-sea ice prediction system designed for daily to subseasonal forecasting. 8(4). https://doi.org/10.1029/2020EA001199 Barton, Neil et al. "The Navy's Earth System Prediction Capability: A new global coupled atmosphere-ocean-sea ice prediction system designed for daily to subseasonal forecasting" 8, no. 4 (2020), https://doi.org/10.1029/2020EA001199 Barton, Neil et al. "The Navy's Earth System Prediction Capability: A new global coupled atmosphere-ocean-sea ice prediction system designed for daily to subseasonal forecasting" vol. 8, no. 4, 2020, https://doi.org/10.1029/2020EA001199 Export RIS Citation Information.

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Barton, Neil

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Metzger, E. Joseph

2020 | Earth and Space Science, 8, e2020EA001199

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This paper describes the new global Navy Earth System Prediction Capability (Navy-ESPC) coupled atmosphere-ocean-sea ice prediction system developed a...
Coupling Infrastructure Capability in UFS Weather Model

CITE Title : Coupling Infrastructure Capability in UFS Weather Model Personal Author(s) : Worthen, Denise;Wang, Jun;Montuoro, Raffaele;Heinzeller, Dom;Li, Bin;Theurich, Gerhard;Turuncoglu, Ufuk;Rosen, Dan;Jovic, Dusan;Curtis, Brian;Mahajan, Rahul;Lei, Hang;Richert, Alexander;Chawla, Arun;Wang, Jiande;Meixner, Jessica;Abdolali, Ali;Masarik, Matthew;Pan, Li;Barlage, Michael;Liu, Bin;Vertenstein, Mariana;Craig, Tony;Benson, Rusty;Robinson, Thomas;Clune, Thomas;Jiang, Weiyuan;Barton, Neil;Vandenberghe, George;Potts, Mark;Kim, Jong;Perlin, Natalie;Book, Cameron;Bernardet, Ligia;Yang, Fanglin;Sun, Shan;Kim, Hyun-Sook;Baker, Barry;Huang, Jianping;Jeon, Chan-Hoo;Stajner, Ivanka; Corporate Authors(s) : National Centers for Environmental Prediction (U.S.);Environmental Modeling Center (U.S.);Lynker.;Geophysical Fluid Dynamics Laboratory (U.S.);Global Systems Laboratory (U.S.);Atlantic Oceanographic and Meteorological Laboratory.;Air Resources Laboratory (U.S.);Joint Center for Satellite Data Assimilation (U.S.);University Corporation for Atmospheric Research.;Tomorrow.io.;Coastal and Hydraulics Laboratory (Engineer Research and Development Center (U.S.));Norske meteorologiske institutt.;Goddard Space Flight Center.; Published Date : 2024 Series : Office note (National Centers for Environmental Prediction (U.S.)) ; 519 DOI : https://doi.org/10.25923/dvv2-3g03 Worthen, Denise et al. (2024). Coupling Infrastructure Capability in UFS Weather Model. https://doi.org/10.25923/dvv2-3g03 Worthen, Denise et al. "Coupling Infrastructure Capability in UFS Weather Model" (2024), https://doi.org/10.25923/dvv2-3g03 Worthen, Denise et al. "Coupling Infrastructure Capability in UFS Weather Model" , 2024, https://doi.org/10.25923/dvv2-3g03 Export RIS Citation Information.

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Worthen, Denise ;

Wang, Jun

2024 | Office note (National Centers for Environmental Prediction (U.S.)) ; 519

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This technical note provides details on the coupling capability available in the latest UWM. The model component NUOPC caps and component coupling str...
Analysis of Integrated Vapor Transport Biases

CITE Title : Analysis of Integrated Vapor Transport Biases Personal Author(s) : Reynolds, Carolyn A.;Crawford, William;Huang, Andrew;Barton, Neil;Janiga, Matthew A.;McLay, Justin;Flatau, Maria;Frolov, Sergey;Rowley, Clark; Published Date : 2022 Source : Monthly Weather Review, 150(5), 1097-1113 DOI : https://doi.org/10.1175/mwr-d-21-0198.1 Journal Title : Monthly Weather Review Reynolds, Carolyn A. et al. (2022). Analysis of Integrated Vapor Transport Biases. 150(5). https://doi.org/10.1175/mwr-d-21-0198.1 Reynolds, Carolyn A. et al. "Analysis of Integrated Vapor Transport Biases" 150, no. 5 (2022), https://doi.org/10.1175/mwr-d-21-0198.1 Reynolds, Carolyn A. et al. "Analysis of Integrated Vapor Transport Biases" vol. 150, no. 5, 2022, https://doi.org/10.1175/mwr-d-21-0198.1 Export RIS Citation Information.

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Reynolds, Carolyn A.

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Crawford, William

2022 | Monthly Weather Review, 150(5), 1097-1113

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High-fidelity analyses and forecasts of integrated vapor transport (VT) are central to the study of Earth’s hydrological cycle as well as high-impac...