scholarly journals High-resolution phase based method for FMCW short range radars

2020 ◽  
Author(s):  
Mikhail V. Ronkin ◽  
Alexey A. Kalmykov ◽  
Elena N. Akimova ◽  
Victor S. Nagovicin
Keyword(s):  
High Resolution ◽  
Short Range

A High-Resolution, Short-Range, Directional Borehole Radar

2001 ◽  
Author(s):  
David L. Wright ◽  
Jared D. Abraham ◽  
David VonG. Smith ◽  
S. Raymond Hutton
Keyword(s):  
High Resolution ◽  
Short Range ◽  
Borehole Radar

scholarly journals Uncertainty analysis of hydrological ensemble forecasts in a distributed model utilising short-range rainfall prediction

2009 ◽  
Vol 13 (3) ◽  
pp. 293-303 ◽  
Author(s):  
Y. Xuan ◽  
I. D. Cluckie ◽  
Y. Wang
Keyword(s):  
High Resolution ◽  
Short Range ◽  
River Flow ◽  
Hydrological Model ◽  
Uncertainty Propagation ◽  
Weather Forecast ◽  
Distributed Model ◽  
Distributed Hydrological Model ◽  
Weather System ◽  
Considerable Uncertainty

Abstract. Advances in mesoscale numerical weather predication make it possible to provide rainfall forecasts along with many other data fields at increasingly higher spatial resolutions. It is currently possible to incorporate high-resolution NWPs directly into flood forecasting systems in order to obtain an extended lead time. It is recognised, however, that direct application of rainfall outputs from the NWP model can contribute considerable uncertainty to the final river flow forecasts as the uncertainties inherent in the NWP are propagated into hydrological domains and can also be magnified by the scaling process. As the ensemble weather forecast has become operationally available, it is of particular interest to the hydrologist to investigate both the potential and implication of ensemble rainfall inputs to the hydrological modelling systems in terms of uncertainty propagation. In this paper, we employ a distributed hydrological model to analyse the performance of the ensemble flow forecasts based on the ensemble rainfall inputs from a short-range high-resolution mesoscale weather model. The results show that: (1) The hydrological model driven by QPF can produce forecasts comparable with those from a raingauge-driven one; (2) The ensemble hydrological forecast is able to disseminate abundant information with regard to the nature of the weather system and the confidence of the forecast itself; and (3) the uncertainties as well as systematic biases are sometimes significant and, as such, extra effort needs to be made to improve the quality of such a system.

X-band compact low cost multi-channel radar prototype for short range high resolution 3D-InISAR

2014 ◽  
Author(s):  
Stefano Lischi ◽  
Riccardo Massini ◽  
Daniele Stagliano ◽  
Luca Musetti ◽  
Fabrizio Berizzi ◽  
...  
Keyword(s):  
High Resolution ◽  
Short Range ◽  
Low Cost ◽  
X Band

scholarly journals Hydrometeorological Short-Range Ensemble Forecasts in Complex Terrain. Part II: Economic Evaluation

2008 ◽  
Vol 23 (4) ◽  
pp. 557-574 ◽  
Author(s):  
Doug McCollor ◽  
Roland Stull
Keyword(s):  
High Resolution ◽  
Utility Function ◽  
Short Range ◽  
Deterministic Model ◽  
Ensemble Average ◽  
Ensemble Prediction ◽  
Value Assessment ◽  
Ensemble Forecasts ◽  
Ensemble Prediction System ◽  
Hydroelectric Reservoir

Abstract Two economic models are employed to perform a value assessment of short-range ensemble forecasts of 24-h precipitation probabilities for hydroelectric reservoir operation. Using a static cost–loss model, the value of the probability information is compared to the values of a deterministic control high-resolution forecast and of an ensemble-average forecast for forecast days 1 and 2. It is found that the probabilistic ensemble forecast provides value to a much wider range of hydroelectric operators than either the deterministic high-resolution forecast or the ensemble-average forecast, although for a small subset of operators the value of the three forecasts is the same. Forecasts for day-1 precipitation provide measurably higher value than forecasts for day-2 precipitation because of the loss of skill in the longer-range forecasts. A decision theory model provides a continuous-variable weighting of a user-specific utility function. The utility function weights are supplied by the ensemble prediction system, and the outcome is compared with weights calculated from a deterministic model, from the ensemble average, and from climatology. It is found that the methods employing the full ensemble and the ensemble average outperform the single deterministic model and climatology for the hydroelectric reservoir scenario studied.

A High‐Resolution, Short‐Range, Directional Borehole Radar

2001 ◽  
Author(s):  
David L. Wright ◽  
Jared D. Abraham ◽  
David VonG. Smith ◽  
S. Raymond Hutton
Keyword(s):  
High Resolution ◽  
Short Range ◽  
Borehole Radar
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