Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Ronnie Abolafia‐Rosenzweig"'
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 2, Pp n/a-n/a (2024)
Abstract The accuracy of snow density in land surface model (LSM) simulations impacts the accuracy of simulated terrestrial water and energy budgets. However, there has been little research that has focused on enhancing snow compaction in operational
Externí odkaz:
https://doaj.org/article/11aaa8484f2844fabdccb70f4377b169
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10733-10747 (2021)
Irrigation is not well represented in land surface, hydrological, and climate models. One way to account for irrigation is by assimilating satellite soil moisture data that contains irrigation signal with land surface models. In this study, the irrig
Externí odkaz:
https://doaj.org/article/771d8866172f46a2bb6cec166f39f192
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 13, Iss 11, Pp n/a-n/a (2021)
Abstract The Noah‐MP land surface model (LSM) relies on the Monin‐Obukhov (M‐O) Similarity Theory (MOST) to calculate land‐atmosphere exchanges of water, energy, and momentum fluxes. However, MOST flux‐profile relationships neglect canopy
Externí odkaz:
https://doaj.org/article/8a1f75a19061414c82f356272f4f9ea6
Publikováno v:
Environmental Research Letters, Vol 17, Iss 5, p 054030 (2022)
This study predicts summer (June–September) fire burned area across the western United States (U.S.) from 1984 to 2020 using ensembles of statistical models trained with pre-fire season climate conditions. Winter and spring climate conditions alone
Externí odkaz:
https://doaj.org/article/6065defb9b104c4ebc68f07717670d62
Publikováno v:
Remote Sensing, Vol 14, Iss 1, p 173 (2021)
Accurate quantification of the terrestrial water cycle relies on combinations of multisource datasets. This analysis uses data from remotely sensed, in-situ, and reanalysis records to quantify the terrestrial water budget/balance and component uncert
Externí odkaz:
https://doaj.org/article/9e545b290e7540f5bbf78c309291843a
Estimating Soil Evaporation Using Drying Rates Determined from Satellite-Based Soil Moisture Records
Publikováno v:
Remote Sensing, Vol 10, Iss 12, p 1945 (2018)
We describe an approach (ESMAP; Evaporation⁻Soil Moisture Active Passive) to estimate direct evaporation from soil, Esoil, by combining remotely-sensed soil drying rates with model calculations of the vertical fluxes in and out of the surface soil
Externí odkaz:
https://doaj.org/article/71c0ff070f1b4cf090fd693d2832a2e9
Autor:
Ehsan Jalilvand, Ronnie Abolafia‐Rosenzweig, Masoud Tajrishy, Sujay V. Kumar, Mohammad Reza Mohammadi, Narendra N. Das
Publikováno v:
Water Resources Research. 59
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::740c59e80dc853f9d77ba9916902e8d8
https://doi.org/10.1029/2022wr033342
https://doi.org/10.1029/2022wr033342
Autor:
Ronnie Abolafia‐Rosenzweig, Cenlin He, Fei Chen, Kyoko Ikeda, Timothy Schneider, Roy Rasmussen
Publikováno v:
Water Resources Research. 59
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c54d22f4013f0270e4a45b3583d2be2
https://doi.org/10.1029/2022wr033734
https://doi.org/10.1029/2022wr033734
Publikováno v:
Remote Sensing, Vol 14, Iss 173, p 173 (2022)
Remote Sensing; Volume 14; Issue 1; Pages: 173
Remote Sensing; Volume 14; Issue 1; Pages: 173
Accurate quantification of the terrestrial water cycle relies on combinations of multisource datasets. This analysis uses data from remotely sensed, in-situ, and reanalysis records to quantify the terrestrial water budget/balance and component uncert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19fb773a43d20967de82e34eb84bf064
https://www.mdpi.com/2072-4292/14/1/173
https://www.mdpi.com/2072-4292/14/1/173
