Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Kriti Bhargava"'
Autor:
Sergey Frolov, Anna Shlyaeva, Wei Huang, Travis Sluka, Clara Draper, Bo Huang, Cory Martin, Travis Elless, Kriti Bhargava, Jeff Whitaker
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 2, Pp n/a-n/a (2024)
Abstract The Joint Effort for Data assimilation Integration (JEDI) is an international collaboration aimed at developing an open software ecosystem for model agnostic data assimilation. This paper considers implementation of the model‐agnostic fami
Externí odkaz:
https://doaj.org/article/9a8af36485b84e86907ce6323421ed6b
Autor:
Ling Liu, Avichal Mehra, Daryl Kleist, Guillaume Vernieres, Travis Sluka, Kriti Bhargava, Patrick Stegmann, Hyun-Sook Kim, Shastri Paturi, Jiangtao Xu, Ilya Rivin
Publikováno v:
Weather and Forecasting.
Realistic ocean initial conditions are essential for coupled hurricane forecasts. This study focuses on the impact of assimilating high-resolution ocean observations for initialization of the Modular Ocean Model (MOM6) in a coupled configuration with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69075776aef1f87102bce4b8cb7bd9a7
https://doi.org/10.1175/waf-d-22-0014.1
https://doi.org/10.1175/waf-d-22-0014.1
Autor:
Sergey Frolov, Anna Shlyaeva, Wei Huang, Travis Sluka, Clara Sophie Draper, Bo Huang, Kriti Bhargava, Jeffrey S. Whitaker
The Joint Effort for Data assimilation Integration (JEDI) is an international collaboration aimed at developing an open software ecosystem for model agnostic data assimilation. This paper considers implementation of the model-agnostic family of the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cc74c53018dbff2c11fec8a838cb3e1
https://doi.org/10.22541/essoar.167839978.89014280/v1
https://doi.org/10.22541/essoar.167839978.89014280/v1
The challenges of community-based solar energy interventions: Lessons from two Rwandan Refugee Camps
Publikováno v:
Energy for Sustainable Development. 65:175-184
The paper presents evidence from the performance assessment of two solar energy interventions. Specifically, an evidence base was built around two community co-conceived standalone photovoltaic-battery systems, which were deployed in two refugee camp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2432d7263e42f7b36fd68f37af5e385f
https://doi.org/10.1016/j.esd.2021.07.007
https://doi.org/10.1016/j.esd.2021.07.007
Publikováno v:
Renewable Energy. 177:895-914
This paper examines the gap between the design and in-situ performance of solar streetlight interventions in two humanitarian settings. Displaced settlements often lack street lighting and electricity. Given that off-grid solar streetlights produce s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfed83243dccd499d3612233f51694de
https://doi.org/10.1016/j.renene.2021.05.105
https://doi.org/10.1016/j.renene.2021.05.105
Publikováno v:
ACM Transactions on Sensor Networks. 15:1-35
In this article, we present a fog computing technique for real-time activity recognition and localization on-board wearable Internet of Things(IoT) devices. Our technique makes joint use of two light-weight analytic methods—Iterative Edge Mining(IE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1afafaa679d7a77f8dc9ac4d3b63752f
https://doi.org/10.1145/3306147
https://doi.org/10.1145/3306147
Publikováno v:
Energy Research & Social Science. 90:102603
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d2acfd55d1b4df05570a8e1b651b2b1
https://doi.org/10.1016/j.erss.2022.102603
https://doi.org/10.1016/j.erss.2022.102603
Publikováno v:
Journal of Geophysical Research: Atmospheres. 123:1626-1637
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f20ece8f95e63902bc8ebd49d8edd269
https://doi.org/10.1002/2017jd027423
https://doi.org/10.1002/2017jd027423
Autor:
Kriti Bhargava
With advances in the Internet of Things, the use of Wireless Sensor Networks (WSN) has been widely proposed for monitoring and automation of farm processes under the umbrella of Precision Farming. In conventional WSN systems, data gathered by sensors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6cc83ebe4f23f10b8e79f595f8fcca1
http://repository.wit.ie/3352/1/Phd_thesis_final_submitted.pdf
http://repository.wit.ie/3352/1/Phd_thesis_final_submitted.pdf