The Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) for High-Resolution, Low-Latency Satellite-Based Rainfall Estimates

2009 ◽  
pp. 39-48 ◽  
Author(s):  
Robert J. Kuligowski
Keyword(s):  
High Resolution ◽  
The Self ◽  
Low Latency ◽  
Rainfall Estimates

Ocean Color Hyperspectral Remote Sensing With High Resolution and Low Latency--The HYPSO-1 CubeSat Mission

2021 ◽  
pp. 1-19
Author(s):  
Mariusz E. Grotte ◽  
Roger Birkeland ◽  
Evelyn Honore-Livermore ◽  
Sivert Bakken ◽  
Joseph L. Garrett ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Ocean Color ◽  
Hyperspectral Remote Sensing ◽  
Low Latency

scholarly journals Susceptibility mapping and estimation of rainfall threshold using space based input for assessment of landslide hazard in Guwahati city in North East India

2014 ◽  
Vol XL-8 ◽  
pp. 15-19 ◽  
Author(s):  
K. Bhusan ◽  
S. S. Kundu ◽  
K. Goswami ◽  
S. Sudhakar
Keyword(s):  
High Resolution ◽  
Rainfall Threshold ◽  
Landslide Hazard ◽  
Capital City ◽  
Landslide Risk ◽  
Eastern Region ◽  
North East ◽  
Hourly Rainfall ◽  
Guwahati City ◽  
Rainfall Estimates

Slopes are the most common landforms in North Eastern Region (NER) of India and because of its relatively immature topography, active tectonics, and intense rainfall activities; the region is susceptible to landslide incidences. The scenario is further aggravated due to unscientific human activities leading to destabilization of slopes. Guwahati, the capital city of Assam also experiences similar hazardous situation especially during monsoon season thus demanding a systematic study towards landslide risk reduction. A systematic assessment of landslide hazard requires understanding of two components, "where" and "when" that landslides may occur. Presently no such system exists for Guwahati city due to lack of landslide inventory data, high resolution thematic maps, DEM, sparse rain gauge network, etc. The present study elucidates the potential of space-based inputs in addressing the problem in absence of field-based observing networks. First, Landslide susceptibility map in 1 : 10,000 scale was derived by integrating geospatial datasets interpreted from high resolution satellite data. Secondly, the rainfall threshold for dynamic triggering of landslide was estimated using rainfall estimates from Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis. The 3B41RT data for 1 hourly rainfall estimates were used to make Intensity-Duration plot. Critical rainfall was estimated for every incidence by analysing cumulative rainfall leading to a landslide for total of 19 incidences and an empirical rainfall intensity-duration threshold for triggering shallow debris slides was developed (Intensity = 5.9 Duration-0.479).

Self-Moving Cell Linear Motor Using Piezo Actuators

2001 ◽  
Author(s):  
Jaehwan Kim ◽  
Jinho Lee
Keyword(s):  
High Resolution ◽  
Shell Structure ◽  
Linear Motor ◽  
The Self ◽  
Fast Speed ◽  
A Cell ◽  
Working Principle

Abstract The concept of a new linear motor that uses piezo-stack actuator is demonstrated. The working principle is far different from the conventional inchworm motor. This motor is based on the self-moving cell concept. The linear motor has three cells and each cell is constructed with one piezo-stack actuator and a shell structure. A cell train is constructed by connecting these cells and the train is fitted into a giudeway with interference. By activating each cell in succession, the train can move along the guideway. The moving motion of the motor is tested. Since this linear motor uses piezo-stack actuator with unified clamping cell, there is possibility to produce fast speed, high resolution and large push force.

scholarly journals Evaluation of High-Resolution Satellite Rainfall Products through Streamflow Simulation in a Hydrological Modeling of a Small Mountainous Watershed in Ethiopia

2012 ◽  
Vol 13 (1) ◽  
pp. 338-350 ◽  
Author(s):  
Menberu M. Bitew ◽  
Mekonnen Gebremichael ◽  
Lula T. Ghebremichael ◽  
Yared A. Bayissa
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Bias Correction ◽  
Hydrological Modeling ◽  
Rain Gauge ◽  
Hydrologic Model ◽  
Model Simulations ◽  
Mountainous Watershed ◽  
Satellite Rainfall ◽  
Rainfall Estimates

Abstract This study focuses on evaluating four widely used global high-resolution satellite rainfall products [the Climate Prediction Center’s morphing technique (CMORPH) product, the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) near-real-time product (3B42RT), the TMPA method post-real-time research version product (3B42), and the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) product] with a spatial resolution of 0.25° and temporal resolution of 3 h through their streamflow simulations in the Soil and Water Assessment Tool (SWAT) hydrologic model of a 299-km2 mountainous watershed in Ethiopia. Results show significant biases in the satellite rainfall estimates. The 3B42RT and CMORPH products perform better than the 3B42 and PERSIANN. The predictive ability of each of the satellite rainfall was examined using a SWAT model calibrated in two different approaches: with rain gauge rainfall as input, and with each of the satellite rainfall products as input. Significant improvements in model streamflow simulations are obtained when the model is calibrated with input-specific rainfall data than with rain gauge data. Calibrating SWAT with satellite rainfall estimates results in curve number values that are by far higher than the standard tabulated values, and therefore caution must be exercised when using standard tabulated parameter values with satellite rainfall inputs. The study also reveals that bias correction of satellite rainfall estimates significantly improves the model simulations. The best-performing model simulations based on satellite rainfall inputs are obtained after bias correction and model recalibration.

Novel low-latency, high-resolution and low-cost time synchronisation

2017 ◽  
Vol 7 (6) ◽  
pp. 178-181
Author(s):  
Ali Aghdaei ◽  
Seyed A. (Reza) Zekavat
Keyword(s):  
High Resolution ◽  
Low Cost ◽  
Low Latency

scholarly journals Chromospheres and Winds of Cool Stars

1992 ◽  
Vol 9 ◽  
pp. 477-479
Author(s):  
Kenneth G. Carpenter
Keyword(s):  
High Resolution ◽  
Complex Shape ◽  
The Self ◽  
Line Profiles ◽  
Late Type ◽  
Hybrid Star ◽  
Star Models ◽  
Cool Stars ◽  
Type Giant ◽  
Early Operations

I present data acquired during the early operations era of the HST with the Goddard High Resolution Spectrograph (GHRS) on three late-type giant and supergiant stars: α Tau (K5 III non-coronal), λ Dra (K5 III hybrid), and α Ori (M2 lab). Figure 1 shows fits to echelle (R=100,000) line profiles of three ions seen in the spectrum of α Tau. The Co II line can be fit with a single gaussian, the self-reversed Fe II line with a combination of an emission and absorption gaussian, but the unreversed C II lines require two emission gaussians of substantially different FWHM and maxima. The complex shape of the C II profiles suggests that the turbulent velocity distribution in the chromosphere is anisotropic (e.g. Gray 1988) or that the lines are formed in two regions characterized by significantly different Teff and Vturb, as in the hybrid star models of Harper (1991).

Context Machines: A Series of Situated and Self-Organizing Artworks

Leonardo ◽  
2013 ◽  
Vol 46 (2) ◽  
pp. 114-122 ◽  
Author(s):  
Benjamin David Robert Bogart ◽  
Philippe Pasquier
Keyword(s):  
High Resolution ◽  
The Self ◽  
Self Organizing Map ◽  
Site Specific ◽  
Photographic Images ◽  
Associative Process ◽  
Self Organized ◽  
Over Time ◽  
Self Organizing

The authors discuss the development of self-organizing artworks. Context Machines are a family of site-specific, conceptual and generative artworks that capture photographic images from their environment in the construction of creative compositions. Resurfacing produces interactive temporal landscapes from images captured over time. Memory Association Machine's free-associative process, modeled after Gabora's theory of creativity, traverses a self-organized map of images collected from the environment. In the Dreaming Machine installations, these free associations are framed as dreams. The self-organizing map is applied to thousands of images in Self-Organized Landscapes—high-resolution collages intended for print reproduction. Context Machines invite us to reconsider what is essentially human and to look at ourselves, and our world, anew.

On Self-Aware Mixed-Signal Systems Based on S-Δ ADC

2012 ◽  
Vol 3 (2) ◽  
pp. 92-110
Author(s):  
Drago Strle ◽  
Janez Trontelj
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Random Noise ◽  
Digital Circuit ◽  
The Self ◽  
Self Awareness ◽  
Signal Source ◽  
Mixed Signal ◽  
Mixed Signal Circuits ◽  
Analogue To Digital

In this paper the authors discuss the issues related to the self-awareness of high-resolution, mixed-signal circuits and systems, based on S-? ADC, which is the most important and sensitive module and the key element for analogue to digital conversion. The basic methodology and framework for improving the self-awareness of such systems are presented. The methodology is based on efficient real-time measurements of a high-resolution, mixed-signal system using pseudo random signal source, real-time calculation of a distance between responses, the possibility to adapt measured circuit to minimize the distance, and changing the parameters of a reference system according to learning rules. The use of pseudo-random noise as a signal source leads to efficient and cost-effective measurements that run in parallel to the main signal processing. The calculation of the distance between the system and its reference are theoretically analysed and verified using Matlab model. The response of a system together with the response of high precision analogue to digital converter (ADC) is compared to the response of a bit-true model of a reference digital circuit. The differences are calculated using simple area-efficient cross-correlation algorithm. Together with adaptation strategy and tuning circuitry it forms the basis for self-awareness of mixed-signal circuits.

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