Remote Sensing, 2017 Soil moisture products acquired from passive satellite missions have been widely applied in environmental processes. A primary challenge for the use of soil moisture products from passive sensors is their reliability.
Xuefei Zhang +4 more
doaj +1 more source
Impact of Satellite Sea Surface Salinity Observations on ENSO Predictions from the NASA/GMAO Seasonal Forecast System [PDF]
We assess the impact of satellite sea surface salinity (SSS) observations on dynamical ENSO forecasts. Assimilation of SSS improves the mixed layer depth (MLD) and modulates the Kelvin waves associated with ENSO.
Borovikov, A. +5 more
core +1 more source
Relating Methanogen Community Structure and Anaerobic Digester Function [PDF]
, 2015 Much remains unknown about the relationships between microbial community structure and anaerobic digester function. However, knowledge of links between community structure and function, such as specific methanogenic activity (SMA) and COD removal rate ...
Bocher, Benjamin T.W. +4 more
core +1 more source
Remote Sensing, 2018 This study evaluates the accuracy of several recent remote sensing Surface Soil Moisture (SSM) products at sites in southwestern France. The products used are Soil Moisture Active Passive “SMAP” (level 3: 36 km × 36 km, level 3 enhanced: 9 km × 9 km, and
Mohammad El Hajj +8 more
doaj +1 more source
SMAPs: Short Message Authentication Protocols [PDF]
, 2017 There is a long history of authentication protocols designed for ease of human use, which rely on users copying a short string of digits. Historical examples include telex test keys and early nuclear firing codes; familiar modern examples include prepayment meter codes and the 3-digit card verification values used in online shopping.
Baqer, K +3 more
openaire +1 more source
Framework Programmable Platform for the Advanced Software Development Workstation (FPP/ASDW). Demonstration framework document. Volume 1: Concepts and activity descriptions [PDF]
The Framework Programmable Software Development Platform (FPP) is a project aimed at effectively combining tool and data integration mechanisms with a model of the software development process to provide an intelligent integrated software development ...
Ackley, Keith A. +4 more
core +1 more source
Combining traditional hydrological models and machine learning for streamflow prediction [PDF]
RBRHTraditional hydrological models have been widely used in hydrologic studies, providing credible representations of reality. This paper introduces a hybrid model that combines the traditional hydrological model Soil Moisture Accounting Procedure (SMAP ...
Antonio Duarte Marcos Junior +3 more
doaj +1 more source
Downscaling SMAP Radiometer Soil Moisture Over the CONUS Using an Ensemble Learning Method
Water Resources Research, 2019 Soil moisture plays a critical role in improving the weather and climate forecast and understanding terrestrial ecosystem processes. It is a key hydrologic variable in agricultural drought monitoring, flood forecasting, and irrigation management as well.
P. Abbaszadeh, H. Moradkhani, X. Zhan
semanticscholar +1 more source
Implementation of Multidomain Unified Forward Operators (UFO) Within the Joint Effort for Data Assimilation Integration (JEDI): Ocean Applications [PDF]
The Joint Effort for Data assimilation Integration (JEDI) is a collaborative development led by the Joint Center for Satellite Data Assimilation (JCSDA) in conjunction with NASA, NOAA and the Department of Defense (NAVY and Air Force). The (Sea-Ice Ocean
Ebrahimi, Hamideh +4 more
core +1 more source
Sensory motor mismatch within the supplementary motor area in the dystonic monkey
Neurobiology of Disease, 2008 Dystonia, a movement disorder characterized by abnormal postures, is associated in primary forms of the disease with subtle proprioceptive troubles and aberrant somatotopic representation in the somatosensory cortex (SC).
E. Cuny +5 more
doaj +1 more source