Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Marina, Astitha"'
Publikováno v:
Energies, Vol 17, Iss 11, p 2618 (2024)
We investigated the predictive capability of various configurations of the Weather Research and Forecasting (WRF) model version 4.4, to predict hub height offshore wind speed and wind power density in the Northeast US wind farm lease areas. The selec
Externí odkaz:
https://doaj.org/article/62643edefb964c3fbf9c077d6f25b077
Autor:
Ummul Khaira, Marina Astitha
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3219 (2023)
Tropical storm Isaias (2020) moved quickly northeast after its landfall in North Carolina and caused extensive damage to the east coast of the United States, with electric power distribution disruptions, infrastructure losses and significant economic
Externí odkaz:
https://doaj.org/article/5b97bfac64fa406ab723268f5854ee00
Autor:
Christina Feng Chang, Marina Astitha, Yongping Yuan, Chunling Tang, Penny Vlahos, Valerie Garcia, Ummul Khaira
Publikováno v:
Artificial Intelligence for the Earth Systems. :1-43
Tributary phosphorus (P) loads are one of the main drivers of eutrophication problems in freshwater lakes. Being able to predict P loads can aid in understanding subsequent load patterns and elucidate potential degraded water quality conditions in do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a6f6100a4031616fc1219f4d3c6c131
https://doi.org/10.1175/aies-d-22-0049.1
https://doi.org/10.1175/aies-d-22-0049.1
Autor:
Emmanouil Anagnostou, Sandrine Anquetin, Marina Astitha, Tibebu Ayalew, Martina Calovi, Forest Cannon, Amy DeCastro, Diego Cerrai, Guido Cervone, Dan Chen, Quang-Van Doan, Laura Clemente, Masih Eghdami, F. Di Giuseppe, Timothy W. Juliano, Domingo Muñoz-Esparza, C. Di Napoli, Morgan Fonley, Maria Frediani, Weiming Hu, Navid Jadidoleslam, Pedro Jimenez, Jason C. Knievel, Sana Khan, Dalia B. Kirschbaum, Branko Kosovi, Witold F. Krajewski, Hiroyuki Kusaka, Linus Magnusson, Ricardo Mantilla, Luca Delle Monache, Efthymios Nikolopoulos, F. Pappenberger, C. Prudhomme, Felipe Quintero, Prathap Ramamurthy, Pallav Ray, Isabelle Ruin, Scott Small, Amanda Siems-Anderson, Galateia Terti, Mukul Tewari, Nicolas Velasquez, Zhihua Wang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::028dc9ba981d51a5e60de903b7772b6a
https://doi.org/10.1016/b978-0-12-820124-4.00007-4
https://doi.org/10.1016/b978-0-12-820124-4.00007-4
Autor:
Jun Yan, Jesse O. Bash, Valerie Garcia, Christina Feng Chang, Penny Vlahos, D. W. Wanik, Marina Astitha, Chunling Tang
Publikováno v:
J Great Lakes Res
Eutrophication and excessive algal growth pose a threat on aquatic organisms and the health of the public, environment, and the economy. Understanding what drives excessive algal growth can inform mitigation measures and aid in advance planning to mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13fe1469b60564a9fcf7a6cd427b9a55
https://doi.org/10.1016/j.jglr.2021.09.011
https://doi.org/10.1016/j.jglr.2021.09.011
Evaluating trends and seasonality in modeled PM2.5 concentrations using empirical mode decomposition
Publikováno v:
Atmospheric Chemistry and Physics. 20:13801-13815
Regional-scale air quality models are being used for studying the sources, composition, transport, transformation, and deposition of fine particulate matter (PM2.5). The availability of decadal air quality simulations provides a unique opportunity to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e4175107270e43febe26684be3953a4
https://doi.org/10.5194/acp-20-13801-2020
https://doi.org/10.5194/acp-20-13801-2020
Publikováno v:
J Air Waste Manag Assoc
Regional air quality models are widely being used to understand the spatial extent and magnitude of the ozone non-attainment problem and to design emission control strategies needed to comply with the relevant ozone standard through direct emission p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17f749e656c1e1fe5ed21def77aeeb7d
https://doi.org/10.1080/10962247.2020.1805375
https://doi.org/10.1080/10962247.2020.1805375
Autor:
David A. Ferrante, James Mader, Gutierrez Christopher, Kunihiro Muto, Marissa Simonelli, Peng Zhang, Robert Manning, Zefan Tang, Jaemo Yang, Martial Sawasawa, Joseph N. Debs, Marina Astitha
Publikováno v:
IEEE Transactions on Sustainable Energy. 11:93-106
Obtaining high-fidelity information on extreme photovoltaic (PV) power is critical for electric utility system planning and operations. However, a scarcity of extreme data has previously made achieving an accurate estimate of extreme PV power an intr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f9b624d1d0d77a2be5d305e7a73b2b2
https://doi.org/10.1109/tste.2018.2884500
https://doi.org/10.1109/tste.2018.2884500