Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Navid Jadidoleslam"'
Autor:
Navid Jadidoleslam, Brian K. Hornbuckle, Witold F. Krajewski, Ricardo Mantilla, Michael H. Cosh
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 247-260 (2022)
L-band microwave satellite missions provide soil moisture information potentially useful for streamflow and, hence, flood predictions. However, these observations are also sensitive to the presence of vegetation that makes satellite soil moisture est
Externí odkaz:
https://doaj.org/article/3c112cc9c4f7404a91f9de1664ea9683
Insights on Streamflow Predictability Across Scales Using Horizontal Visibility Graph Based Networks
Publikováno v:
Frontiers in Water, Vol 2 (2020)
Streamflow is a dynamical process that integrates water movement in space and time within basin boundaries. The authors characterize the dynamics associated with streamflow time-series data from 64 U.S. Geological Survey (USGS) unregulated stream-gau
Externí odkaz:
https://doaj.org/article/517ac7a33e6b431695ac21155699f179
Publikováno v:
Hydrology, Vol 8, Iss 1, p 52 (2021)
The authors examine the impact of assimilating satellite-based soil moisture estimates on real-time streamflow predictions made by the distributed hydrologic model HLM. They use SMAP (Soil Moisture Active Passive) and SMOS (Soil Moisture Ocean Salini
Externí odkaz:
https://doaj.org/article/f719cd3508c749b383d6fb84dc4e53c4
Autor:
Michael H. Cosh, Ricardo Mantilla, Witold F. Krajewski, Brian K Hornbuckle, Navid Jadidoleslam
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15:247-260
L-band microwave satellite missions provide soil moisture information potentially useful for streamflow and hence flood predictions. However, these observations are also sensitive to the presence of vegetation that makes satellite soil moisture estim
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:
Navid Jadidoleslam, Brian K. Hornbuckle, Witold F. Krajewski, Michael H. Cosh, Ricardo Mantilla
L-band microwave satellite missions provide soil moisture information potentially useful for streamflow and hence flood predictions. However, these observations are also sensitive to the presence of vegetation that makes satellite soil moisture estim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37fc89367b3c7e7f1d188cdfad7f0900
https://doi.org/10.36227/techrxiv.14776353.v1
https://doi.org/10.36227/techrxiv.14776353.v1
Recent observation-based studies have shown that satellite-based antecedent soil moisture can provide useful information on runoff production. The patterns uncovered can be used to benchmark the degree of coupling between antecedent soil moisture, ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a6fa3d02990d7b69c4ae9b706c15277
https://doi.org/10.5194/egusphere-egu2020-12675
https://doi.org/10.5194/egusphere-egu2020-12675
Streamflow is a dynamical process that integrates water movement in space and time within basin boundaries. The authors characterize the dynamics associated with streamflow time series data from about seventy-one U.S. Geological Survey (USGS) stream-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0a1a3e1c10beab915b9b946d75731c2
https://doi.org/10.5194/egusphere-egu2020-3744
https://doi.org/10.5194/egusphere-egu2020-3744
Insights On Streamflow Predictability Across Scales Using Horizontal Visibility Graph Based Networks
Publikováno v:
Frontiers in Water, Vol 2 (2020)
Streamflow is a dynamical process that integrates water movement in space and time within basin boundaries. The authors characterize the dynamics associated with streamflow time series data from about seventy-one U.S. Geological Survey (USGS) stream-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffc473303b425995cd0ea32e4c00ee83
http://arxiv.org/abs/1912.03343
http://arxiv.org/abs/1912.03343