This study proposes a new method for downscaling ETWatch 1-km actual evapotranspiration (ET) products to a spatial resolution of 30 m using Landsat8 normalized difference vegetation index (NDVI) data. The NDVI is employed as an indicator of land-surface vegetation, which displays periodic spatial patterns on the land surface. A 30-m-resolution ten-day ET dataset is then calculated primarily usi...

In [33, 34] two methods have been presented to scale down the topology of the Internet, while preserving important performance metrics. In partcular, based on the observation that only the congested links along the path of each flow introduce sizable queueing delays and dependencies among flows two methods have been proposed that can infer the performance of the larger Internet by creating and ...

The objective of spatial downscaling strategies is to increase the information content of coarse datasets at smaller scales. In the case of quantitative precipitation estimation (QPE) for hydrological applications, the goal is to close the scale gap between the spatial resolution of coarse datasets (e.g., gridded satellite precipitation products at resolution L 3 L) and the high resolution (l 3...

Finding ways to downscale microfinance is one of the current challenges facing commercial banks, especially in developing countries. As banks have a poor knowledge of microfinance, operating in this market will require capacity-building, innovative business models and new technological architectures. This paper discusses how one particular architecture – the Brazilian model of correspondent ban...

precipitation data is of utmost importance to carry out many hydro-meteorological studies. observed warming over several decades has been linked to changes in the large-scale hydrological cycle such as: increasing atmospheric water vapour content, changing precipitation patterns, intensity and extremes, reduced snow cover and widespread melting of ice, and changes in soil moisture and runoff. p...

Given the importance of soil moisture for hydrological applications, including weather and flood forecasting, the Soil Moisture and Ocean Salinity (SMOS) mission was launched by the European Space Agency in 2009. This first-ever dedicated global soil moisture mapping mission has a target accuracy of 0.04 v/v. The passive microwave remote sensing approach has been adopted for this mission due to...

A new open source neural network temporal downscaling model is described and tested using CRU-NCEP reanalysis and CCSM3 climate model output. We downscaled multiple meteorological variables in tandem from monthly to sub-daily time steps while also retaining consistent correlations between variables. We found that our feed forward, error backpropagation approach produced synthetic 6 hourly meteo...

Precipitation data are important for the fields of hydrology and meteorology, and are fundamental for ecosystem monitoring and climate change research. Satellite-based precipitation products are already able to provide high temporal resolution precipitation information at a global level. However, the coarse spatial resolution has restricted their use in regional level studies. In this study, mo...

Specific radiation damage can be used to solve macromolecular structures using the radiation-damage-induced phasing (RIP) method. The method has been investigated for six disulfide-containing test structures (elastase, insulin, lysozyme, ribonuclease A, trypsin and thaumatin) using data sets that were collected on a third-generation synchrotron undulator beamline with a highly attenuated beam. ...