Short-term forecasting of thunderstorms using Doppler radar in the vicinity of Kennedy Space Center

1992 ◽  
Author(s):  
K. HONDL ◽  
M. EILTS
Keyword(s):  
Doppler Radar ◽  
Short Term ◽  
Kennedy Space Center ◽  
Short Term Forecasting ◽  
Kennedy Space

scholarly journals Quality Control Algorithms for the Kennedy Space Center 50-MHz Doppler Radar Wind Profiler Winds Database

2012 ◽  
Vol 29 (12) ◽  
pp. 1731-1743 ◽  
Author(s):  
Robert E. Barbré
Keyword(s):  
Quality Control ◽  
Wind Profile ◽  
Doppler Radar ◽  
Median Filter ◽  
Wind Profiler ◽  
Natural Environments ◽  
Kennedy Space Center ◽  
Wind Measurements ◽  
Kennedy Space ◽  
New Algorithms

Abstract This paper presents the process used by the Marshall Space Flight Center Natural Environments Branch (EV44) to quality control (QC) data from the Kennedy Space Center’s 50-MHz Doppler radar wind profiler (DRWP) for use in vehicle wind loads and steering commands. The database has been built to mitigate limitations of using the currently archived databases from weather balloons. The DRWP database contains wind measurements from approximately 2.7- to 18.6-km altitude at roughly 5-min intervals for the August 1997–December 2009 period of record, and the extensive QC process was designed to remove spurious data from various forms of atmospheric and nonatmospheric artifacts. The QC process is largely based on DRWP literature, but two new algorithms have been developed to remove data contaminated by convection and excessive first-guess propagations from the median filter/first-guess algorithm. In addition to describing the automated and manual QC process in detail, this paper describes the extent of the data retained. Roughly 58% of all possible wind observations exist in the database, with approximately 100 times as many complete profile sets existing relative to the EV44 balloon databases. This increased sample of near-continuous wind profile measurements may help increase launch availability by reducing the uncertainty of wind changes during launch countdown.

scholarly journals Radar Refractivity Retrieval: Validation and Application to Short-Term Forecasting

2005 ◽  
Vol 44 (3) ◽  
pp. 285-300 ◽  
Author(s):  
Tammy M. Weckwerth ◽  
Crystalyne R. Pettet ◽  
Frédéric Fabry ◽  
Shin Ju Park ◽  
Margaret A. LeMone ◽  
...  
Keyword(s):  
Great Plains ◽  
Doppler Radar ◽  
Doppler Velocity ◽  
Good Representation ◽  
Short Term ◽  
Near Surface ◽  
National Network ◽  
Low Level ◽  
Short Term Forecasting ◽  
Convection Initiation

Abstract This study will validate the S-band dual-polarization Doppler radar (S-Pol) radar refractivity retrieval using measurements from the International H2O Project conducted in the southern Great Plains in May–June 2002. The range of refractivity measurements during this project extended out to 40–60 km from the radar. Comparisons between the radar refractivity field and fixed and mobile mesonet refractivity values within the S-Pol refractivity domain show a strong correlation. Comparisons between the radar refractivity field and low-flying aircraft also show high correlations. Thus, the radar refractivity retrieval provides a good representation of low-level atmospheric refractivity. Numerous instruments that profile the temperature and moisture are also compared with the refractivity field. Radiosonde measurements, Atmospheric Emitted Radiance Interferometers, and a vertical-pointing Raman lidar show good agreement, especially at low levels. Under most daytime summertime conditions, radar refractivity measurements are representative of an ∼250-m-deep layer. Analyses are also performed on the utility of refractivity for short-term forecasting applications. It is found that the refractivity field may detect low-level boundaries prior to the more traditional radar reflectivity and Doppler velocity fields showing their existence. Data from two days on which convection initiated within S-Pol refractivity range suggest that the refractivity field may exhibit some potential utility in forecasting convection initiation. This study suggests that unprecedented advances in mapping near-surface water vapor and subsequent improvements in predicting convective storms could result from implementing the radar refractivity retrieval on the national network of operational radars.

scholarly journals 244 EFFECT OF PHOTOPERIOD ON NET CARBON ASSIMILATION AND PARTITIONING IN WHITE POTATO

HortScience ◽  
1994 ◽  
Vol 29 (5) ◽  
pp. 464e-464
Author(s):  
G.W. Stutte ◽  
N.C. Yorio ◽  
R.M. Wheeler
Keyword(s):  
Starch Content ◽  
Carbon Assimilation ◽  
Dark Cycle ◽  
Short Term ◽  
Response Curves ◽  
White Potato ◽  
Starch Concentration ◽  
Kennedy Space Center ◽  
Starch Mobilization ◽  
Kennedy Space

Photoperiod treatments were imposed on potato (Solanum tuberosum L. cv. Norland) grown in the Biomass Production Chamber (BPC) at Kennedy Space Center under HPS lamps (670 μmol m-2s-1 PPF) at 1200 μmol mol-1 CO2. Stand A decreased with dark cycle length, which correlated with the change in leaf starch concentration during the dark cycle, but not absolute starch concentration. A series of growth chamber experiments were performed to characterize the effect of photoperiod and PPF on CO2 assimilation and starch mobilization in single leaves. Plants grown on a 12/12 photoperiod at either low (300 μmol m-2s-1) or high (600 μmol m-2s-1) PPF were subjected to short-term photoperiod treatments of 8/16, 16/8, and 24/0 and diurnal CO2 assimilation rates, CO2 response curves, and leaf starch content were determined. CO2 compensation point was not affected by either photoperiod or PPF. However, Amax (when normalized for PPF) decreased with increasing photoperiod. Anet correlated with the changes in specific leaf weight and starch content during the dark cycle.

Surface Wind Convergence as a Short-Term Predictor of Cloud-to-Ground Lightning at Kennedy Space Center

1991 ◽  
Vol 6 (1) ◽  
pp. 49-64 ◽  
Author(s):  
Andrew I. Watson ◽  
Ronald L. Holle ◽  
Raúl E. López ◽  
Robert Ortiz ◽  
James R. Nicholson
Keyword(s):  
Surface Wind ◽  
Short Term ◽  
Kennedy Space Center ◽  
Cloud To Ground Lightning ◽  
Kennedy Space

scholarly journals Rain Forecasting for Ho Chi Minh City Using Doppler Weather Radar Dwsr-2500C

2016 ◽  
Vol 62 (1) ◽  
pp. 1-10
Author(s):  
Dang Quoc Dung ◽  
Nguyen The Hao ◽  
Nguyen Minh Giam
Keyword(s):  
Doppler Radar ◽  
Extreme Rainfall ◽  
Ho Chi Minh City ◽  
Short Term ◽  
Flood Prevention ◽  
Weather Radars ◽  
Monitoring And Forecasting ◽  
Extreme Rain ◽  
Short Term Forecasting ◽  
The City

Abstract Rainfall amounts vary randomly over time and space. Rainfall monitoring and forecasting is a difficult task, especially for a short-term period from 30 minutes to 3 hours. Recently Doppler weather radars have been used as one of the new solutions in the short-term forecasting of extreme rain or storm. This research presents some results of forecasting the wind direction, velocity, and rainfall of a typical rainy day, 14 September 2010, based on CAPPI images of a DWSR-2500C radar in the Nha Be district, Ho Chi Minh City (HCMC). The results showed that the Doppler radar, in a scanning radius of 30 km, is very effective in forecasting extreme rainfall for each region and district when reflected radar signals from clouds moving towards the city are detected. This research provides useful information in the forecast of extreme rainfall for flood prevention works in the HCM City.

The causes of poverty in Russia

2020 ◽  
Vol 13 (1) ◽  
pp. 21-36
Author(s):  
I.S. Ivanchenko
Keyword(s):  
Regression Analysis ◽  
Regional Development ◽  
Financial Market ◽  
Russian Federation ◽  
Short Term ◽  
Financial Situation ◽  
Macroeconomic Variables ◽  
Development Plans ◽  
The Russian Federation ◽  
Short Term Forecasting

Subject. This article analyzes the changes in poverty of the population of the Russian Federation. Objectives. The article aims to identify macroeconomic variables that will have the most effective impact on reducing poverty in Russia. Methods. For the study, I used the methods of logical, comparative, and statistical analyses. Results. The article presents a list of macroeconomic variables that, according to Western scholars, can influence the incomes of the poorest stratum of society and the number of unemployed in the country. The regression analysis based on the selected variables reveals those ones that have a statistically significant impact on the financial situation of the Russian poor. Relevance. The results obtained can be used by the financial market mega-regulator to make anti-poverty decisions. In addition, the models built can be useful to the executive authorities at various levels for short-term forecasting of the number of unemployed and their income in drawing up regional development plans for the areas.

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