Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Shrinivas Moorthi"'
Autor:
Cristiana Stan, V. Krishnamurthy, Hedanqiu Bai, Bin Li, Avichal Mehra, Jessica Meixner, Shrinivas Moorthi, Lydia Stefanova, Jiande Wang, Jun Wang, Denise Worthen, Fanglin Yang
Publikováno v:
Journal of Climate. 36:2439-2456
The impact of tropical Pacific sea surface temperature (SST) biases on the deterministic skill of the Unified Forecast System (UFS) coupled model Prototype 5 is evaluated during weeks 1–4 of the forecast. The evaluation is limited to the contiguous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1056ecd111b0a248f1b8222593b59c14
https://doi.org/10.1175/jcli-d-22-0196.1
https://doi.org/10.1175/jcli-d-22-0196.1
NOAA is collaborating with the US weather and climate science community to develop the next generation fully coupled earth system modeling capability for both research and operational forecast applications across different temporal and spatial scales
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e39e097ae7ada28d8af2b6f99116d65b
https://doi.org/10.5194/egusphere-egu23-3038
https://doi.org/10.5194/egusphere-egu23-3038
Autor:
Hedanqiu Bai, Bin Li, Avichal Mehra, Jessica Meixner, Shrinivas Moorthi, Sulagna Ray, Lydia Stefanova, Jiande Wang, Jun Wang, Denise Worthen, Fanglin Yang, Cristiana Stan
Publikováno v:
Weather and Forecasting.
This work investigates the impact of tropical sea surface temperature (SST) biases on the subseasonal to seasonal (S2S) precipitation forecast skill over the Contiguous United States (CONUS) in the Unified Forecast System (UFS) coupled model Prototyp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7b7b56ec85a343806c327ac87f49e4d
https://doi.org/10.1175/waf-d-22-0162.1
https://doi.org/10.1175/waf-d-22-0162.1
Autor:
V. Krishnamurthy, Lydia Stefanova, Denise Worthen, Bin Li, Jessica Meixner, Cristiana Stan, Jiande Wang, Shrinivas Moorthi, Travis Sluka
Publikováno v:
Journal of Climate. 34:3273-3294
The predictability of the Unified Forecast System (UFS) Coupled Model Prototype 2 developed by the National Centers for Environmental Prediction is assessed for the boreal summer over the continental United States (CONUS). The retrospective forecasts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd45a40c7c51a5b0f28b69a838781a51
https://doi.org/10.1175/jcli-d-20-0586.1
https://doi.org/10.1175/jcli-d-20-0586.1
Autor:
Jeffery T. McQueen, Partha S. Bhattacharjee, Hann-Ming Henry Juang, Shrinivas Moorthi, Mian Chin, Peter R. Colarco, Cheng-Hsuan Lu, Jun Wang, Hui-ya Chuang, Arlindo da Silva, Youhua Tang, Shen-Po Chen, M. Iredell
Publikováno v:
Geoscientific Model Development, Vol 9, Iss 5, Pp 1905-1919 (2016)
The NOAA National Centers for Environmental Prediction (NCEP) implemented the NOAA Environmental Modeling System (NEMS) Global Forecast System (GFS) Aerosol Component (NGAC) for global dust forecasting in collaboration with NASA Goddard Space Flight
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6e6fae8178708c877168369ea04c1af
https://doi.org/10.5194/gmd-9-1905-2016
https://doi.org/10.5194/gmd-9-1905-2016
Autor:
Arun Kumar, P. Swapna, K. Aparna, Bhupendra Nath Goswami, Mathew Koll Roxy, Raghavan Krishnan, K. Kulkarni, Shrinivas Moorthi, Karumuri Ashok, A. G. Prajeesh
Publikováno v:
Bulletin of the American Meteorological Society. 96:1351-1367
With the goal of building an Earth system model appropriate for detection, attribution, and projection of changes in the South Asian monsoon, a state-of-the-art seasonal prediction model, namely the Climate Forecast System version 2 (CFSv2) has been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dacbc55f5057d3f836e7e04825a8966d
https://doi.org/10.1175/bams-d-13-00276.1
https://doi.org/10.1175/bams-d-13-00276.1
Autor:
V Krishnamurthy, Bohua Huang, Patrick Tripp, Arun Kumar, Hua Chen, Shrinivas Moorthi, L. Marx, Jieshun Zhu, Ioana Colfescu, Rodrigo J. Bombardi, James L. Kinter, Jian Lu, Zeng-Zhen Hu, Edwin K. Schneider, Xingren Wu, Lakshmi Krishnamurthy
Publikováno v:
Climate Dynamics. 44:543-557
Retrospective decadal forecasts were undertaken using the Climate Forecast System version 2 (CFSv2) as part of Coupled Model Intercomparison Project 5. Decadal forecasts were performed separately by the National Center for Environmental Prediction (N
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::355d0776d676f65dda16ea8f1b4b1546
https://doi.org/10.1007/s00382-014-2360-9
https://doi.org/10.1007/s00382-014-2360-9
Autor:
Qin Zhang, Shrinivas Moorthi, Mingyue Chen, Malaquías Peña Mendez, Yu-Tai Hou, Michael Ek, M. Iredell, Jesse Meng, Sudhir Nadiga, Hui Ya Chuang, Patrick Tripp, Wanqiu Wang, Rongqian Yang, Jiande Wang, Xingren Wu, David Behringer, Emily Becker, Huug van den Dool, Suranjana Saha
Publikováno v:
Journal of Climate. 27:2185-2208
The second version of the NCEP Climate Forecast System (CFSv2) was made operational at NCEP in March 2011. This version has upgrades to nearly all aspects of the data assimilation and forecast model components of the system. A coupled reanalysis was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40a3e4052e188d7b1dd3055f86fa870f
https://doi.org/10.1175/jcli-d-12-00823.1
https://doi.org/10.1175/jcli-d-12-00823.1
Autor:
Xingren Wu, Suranjana Saha, Jiande Wang, Woollen, Jack, Tripp, Patrick, Malaquias Pena, Shrinivas Moorthi, Behringer, David, Partha Bhattacharjee, Wang, Jun, Chawla, Arun, Avichal Mehra, Ek, Mike, Jiarui Dong, Li, Xu, Lu, Sarah, Kleist, Daryl, Penny, Steve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d25e449285ccaa4dbcd214fdbe2b76ad
Publikováno v:
Atmospheric Chemistry and Physics, Vol 10, Iss 24, Pp 12261-12272 (2010)
The NCEP Global Forecast System (GFS) model has an important systematic error shared by many other models: stratocumuli are missed over the subtropical eastern oceans. It is shown that this error can be alleviated in the GFS by introducing a consider
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6c651a8d9a10a17d96eef43a2e7b3e7
http://www.atmos-chem-phys.net/10/12261/2010/acp-10-12261-2010.pdf
http://www.atmos-chem-phys.net/10/12261/2010/acp-10-12261-2010.pdf