Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Azbina Rahman"'
Publikováno v:
Water Supply, Vol 24, Iss 7, Pp 2451-2472 (2024)
Climate change and rainfall variability are driving many farmers to adopt irrigation, who were historically within rain-dependent regions, to sustain crop productivity. In the Mid-Atlantic region, irrigation in agriculture has grown since the 1980s d
Externí odkaz:
https://doaj.org/article/585e2791582c49f1b2eee537574b6ab0
Publikováno v:
Frontiers in Water, Vol 3 (2022)
As vegetation regulates water, carbon, and energy cycles from the local to the global scale, its accurate representation in land surface models is crucial. The assimilation of satellite-based vegetation observations in a land surface model has the po
Externí odkaz:
https://doaj.org/article/b0b2012a2448408f90a7fc9d2882c9b5
Autor:
Azbina Rahman, Xinxuan Zhang, Yuan Xue, Paul Houser, Timothy Sauer, Sujay Kumar, David Mocko, Viviana Maggioni
Publikováno v:
Journal of Hydrology X, Vol 9, Iss , Pp 100063- (2020)
This study evaluates the potential of assimilating phenology observations using a direct insertion (DI) method by constraining the modeled terrestrial carbon dynamics with synthetic observations of vegetation condition. Specifically, observations of
Externí odkaz:
https://doaj.org/article/788e46c136fc445f9d3bd94bbac69646
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 437 (2022)
This work tests the hypothesis that jointly assimilating satellite observations of leaf area index and surface soil moisture into a land surface model improves the estimation of land vegetation and water variables. An Ensemble Kalman Filter is used t
Externí odkaz:
https://doaj.org/article/8a4786a15d054c738b234c0d4d40c4b0
Autor:
Viviana Maggioni, Yuan Xue, Azbina Rahman, Sujay V. Kumar, Xinxuan Zhang, Timothy Sauer, David Mocko, Paul R. Houser
Publikováno v:
Hydrology and Earth System Sciences, Vol 24, Pp 3775-3788 (2020)
Vegetation plays a fundamental role not only in the energy and carbon cycle, but also the global water balance by controlling surface evapotranspiration. Thus, accurately estimating vegetation-related variables has the potential to improve our unders
Publikováno v:
JAWRA Journal of the American Water Resources Association. 57:222-240
Autor:
Xinxuan Zhang, Azbina Rahman, Yuan Xue, Paul R. Houser, Timothy Sauer, Viviana Maggioni, Sujay V. Kumar, David Mocko
Publikováno v:
Journal of Hydrology X, Vol 9, Iss, Pp 100063-(2020)
This study evaluates the potential of assimilating phenology observations using a direct insertion (DI) method by constraining the modeled terrestrial carbon dynamics with synthetic observations of vegetation condition. Specifically, observations of
Publikováno v:
IGARSS
Remote sensing observations of vegetation derived from satellite retrievals provide spatially comprehensive measurements that are well-suited for data assimilation in land surface modeling over large areas. However, the temporal intervals of such sat
Autor:
Samsul Rizal, F. A. T. Owolabi, Seeta Uthaya Kumar, Hps Abdul Khalil, Al-Ashraf Abdullah Amirul, Azbina Rahman, Asniza Mustapha, M. T. Paridah
The study aimed to characterize the seaweed-based biodegradable films incorporated with different concentrations of neem (Azadirachta indica) leaves extracts at different concentrations. The neem leaves extract was analyzed for antimicrobial activity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b61f49cffb72a33d3d415c33a3cfd559
https://doi.org/10.20944/preprints201807.0446.v1
https://doi.org/10.20944/preprints201807.0446.v1