Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Veerabhadra R, Kotamarthi"'
Autor:
Brandi L. Gamelin, Jeremy Feinstein, Jiali Wang, Julie Bessac, Eugene Yan, Veerabhadra R. Kotamarthi
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Global warming is expected to enhance drought extremes in the United States throughout the twenty-first century. Projecting these changes can be complex in regions with large variability in atmospheric and soil moisture on small spatial scal
Externí odkaz:
https://doaj.org/article/f49654f097ab4fcebcf047af7e8c0463
Publikováno v:
Earth's Future, Vol 9, Iss 7, Pp n/a-n/a (2021)
Abstract This study investigates changes and uncertainties to cool‐season (November‐March) storm tides along the U.S. northeast coast in the 21st century under the high RCP8.5 emission scenario compared to late 20th century. A high‐fidelity (50
Externí odkaz:
https://doaj.org/article/2dfb2783730a43a1a5f7c8607fcff0db
Autor:
Raj K. Rai, Yan Feng, Shreyas Ananthan, Ramesh Balakrishnan, Branko Kosovic, Rodman R. Linn, Barbara G. Brown, Michael Robinson, Javier Sanz Rodrigo, Domingo Muñoz-Esparza, Larry K. Berg, Brandon Lee Ennis, Patrick Moriarty, Matthew J. Churchfield, Sue Ellen Haupt, Caroline Draxl, William J. Shaw, Joel Cline, Veerabhadra R. Kotamarthi, Jeffrey D. Mirocha
Publikováno v:
Wind Energy Science, Vol 3, Pp 589-613 (2018)
The sensitivities of idealized Large-Eddy Simulations (LES) to variations of model configuration and forcing parameters on quantities of interest to wind power applications are examined. Simulated wind speed, turbulent fluxes, spectra and cospectra a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae15e0428a10573caaad72dfd6220657
https://www.wind-energ-sci.net/3/589/2018/wes-3-589-2018.pdf
https://www.wind-energ-sci.net/3/589/2018/wes-3-589-2018.pdf
Autor:
Veerabhadra R. Kotamarthi, Sotirios V. Archontoulis, Jiali Wang, Qianlai Zhuang, Zachary Zobel, Zhenong Jin
Publikováno v:
Global Change Biology. 23:2687-2704
Heat and drought are two emerging climatic threats to the US maize and soybean production, yet their impacts on yields are collectively determined by the magnitude of climate change and rising atmospheric CO2 concentrations. This study quantifies the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9812b16a75c65afa31a0e106676adf6
https://doi.org/10.1111/gcb.13617
https://doi.org/10.1111/gcb.13617
Publikováno v:
Climate Dynamics. 47:2833-2849
The weather research and forecast (WRF) model downscaling skill in extreme maximum daily temperature is evaluated by using the generalized extreme value (GEV) distribution. While the GEV distribution has been used extensively in climatology and meteo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::447ad70888290b93b29dc88f1da3ff4f
https://doi.org/10.1007/s00382-016-3000-3
https://doi.org/10.1007/s00382-016-3000-3
Publikováno v:
Atmospheric Chemistry and Physics, Vol 16, Pp 247-264 (2016)
Aerosol radiative effects and thermodynamic responses over South Asia are examined with a version of the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) for March 2012. Model results of Aerosol Optical Depth (AOD) and extinct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::692bf7632b27c756872e1bafe28c9b02
https://doi.org/10.5194/acp-16-247-2016
https://doi.org/10.5194/acp-16-247-2016
Autor:
Mark J. Potosnak, Veerabhadra R. Kotamarthi, Pete Beckman, Pinaki Banerjee, Robert Jacob, Rajesh Sankaran, Charlie Catlett
The Array of Things (AoT) is a collaborative effort among leading scientists, universities, local government and communities in Chicago to collect real-time data on the city’s environment, infrastr...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::164fe0f1a86a9e87e57c329109b2526e
https://doi.org/10.1002/essoar.10500209.1
https://doi.org/10.1002/essoar.10500209.1
Autor:
Jiali Wang, Veerabhadra R. Kotamarthi
Publikováno v:
Earth's Future. 3:268-288
This study performs high-spatial-resolution (12 km) Weather Research and Forecasting (WRF) simulations over a very large domain (7200 km × 6180 km, covering much of North America) to explore changes in mean and extreme precipitation in the mid and l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfcd8b5b60df822bfbf27d79c0d51f02
https://doi.org/10.1002/2015ef000304
https://doi.org/10.1002/2015ef000304
Publikováno v:
Biogeosciences, Vol 12, Iss 7, Pp 2119-2129 (2015)
Cultivation of the terrestrial land surface can create either a source or sink of atmospheric CO2, depending on land management practices. The Community Land Model (CLM) provides a useful tool for exploring how land use and management impact the soil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cad0e72435daa0fda774954f67b9ed9
http://www.biogeosciences.net/12/2119/2015/bg-12-2119-2015.pdf
http://www.biogeosciences.net/12/2119/2015/bg-12-2119-2015.pdf