A Forest Evapotranspiration Model Using Synoptic Weather Data

1985 ◽  
pp. 161-176
Author(s):  
Björn Bringfelt
Keyword(s):  
Weather Data ◽  
Synoptic Weather

The Relation Between Cloudiness over the Greenland Icecap and Synoptic Weather Types 1 2

1960 ◽  
Vol 41 (2) ◽  
pp. 68-78
Author(s):  
Clarence A. Carpenter
Keyword(s):  
Cross Section ◽  
Cross Sections ◽  
Grid Point ◽  
Summer Season ◽  
Weather Data ◽  
Weather Types ◽  
Synoptic Weather ◽  
System Type

This paper is a summary of cloudiness over the Greenland icecap route from Sondrestrom Air Base, approximately 67N–51W, to Angmagssalik, approximately 65.5N–37.5W. Four types of synoptic systems were chosen and cloudiness summarized by types both annually and for the summer season. Total cloudiness annually and for the summer season without regard to synoptic types is also presented. Data for this paper consisted of 511 flight cross sections made by Scandinavian Airlines System flight crews in scheduled air service over the icecap route. It is presented in the form of a cross-section grid with isopleths showing the percentage of time cloudiness was observed at each grid point. These cross sections are of particular value in that they are the first source of systematic, observed weather data over this area. An attempt is made to explain icecap cloud distribution by correlation with system type in order to provide a practical forecasting aid for the Greenland air-route forecasters.

Mesoanalysis: Some Operational Analysis Techniques Utilized in Tornado Forecasting

1959 ◽  
Vol 40 (10) ◽  
pp. 499-511 ◽  
Author(s):  
Bernard W. Magor
Keyword(s):  
Weather Data ◽  
Squall Line ◽  
Small Scale ◽  
Scale Problem ◽  
Severe Thunderstorm ◽  
Operational Analysis ◽  
Analysis Techniques ◽  
Synoptic Weather

The tornado forecast becomes a small-scale problem as the tornado-generating severe-thunderstorm area approaches a particular locality. Consequently, much of this problem can be solved by the best possible analysis of surface synoptic weather data. Various tornado occurrences were investigated and found to be associated with meso-lows. These meso-lows were depicted either by the intersection of two instability lines or by the intersection of a squall line with a northeastern boundary of rain-cooled air. An explanation is given for the formation of tornadoes along this intersection.

A Case Study of Extreme Turbulence Possibilities Based on Considerations of Buoyancy and Horizontal Divergence

1961 ◽  
Vol 42 (3) ◽  
pp. 175-184
Author(s):  
D. C. House ◽  
J. T. Lee
Keyword(s):  
Weather Data ◽  
Synoptic Situation ◽  
Confidence Limits ◽  
Synoptic Weather

A study into the possibility of extreme turbulence occurring in a particular synoptic situation is discussed here. The synoptic weather data are reviewed, and the magnitude of turbulence that might be expected is computed by two different methods. The limitations of each method are discussed. While it might be concluded that thunderstorm updraft velocities were of the order of those producing extreme turbulence, the assumptions are so restrictive that it is not possible to assign confidence limits to the computed gust velocities.

WEB SYSTEM FOR WEATHER DATA PROCESSING TO HVAC DESIGN

2018 ◽  
Author(s):  
Raama Alves ◽  
Thamires Bernardes ◽  
MANOEL ANTONIO FONSECA COSTA
Keyword(s):  
Data Processing ◽  
Weather Data ◽  
Web System

HOW TO USE CROP GROWTH MODEL WOFOST FOR FORECASTING GROWTH AND YIELD OF A CROP

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
LAL SINGH ◽  
PARMEET SINGH ◽  
RAIHANA HABIB KANTH ◽  
PURUSHOTAM SINGH ◽  
SABIA AKHTER ◽  
...  
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Input Data ◽  
Growth And Yield ◽  
Weather Data ◽  
Data Sets ◽  
Crop Growth Model ◽  
Control Center ◽  
Field Crops ◽  
Crop Calendar

WOFOST version 7.1.3 is a computer model that simulates the growth and production of annual field crops. All the run options are operational through a graphical user interface named WOFOST Control Center version 1.8 (WCC). WCC facilitates selecting the production level, and input data sets on crop, soil, weather, crop calendar, hydrological field conditions, soil fertility parameters and the output options. The files with crop, soil and weather data are explained, as well as the run files and the output files. A general overview is given of the development and the applications of the model. Its underlying concepts are discussed briefly.

scholarly journals Distribution and incidence of viruses in Irish seed potato crops

2015 ◽  
Vol 54 (2) ◽  
pp. 98-106 ◽  
Author(s):  
F. Hutton ◽  
J.H. Spink ◽  
D. Griffin ◽  
S. Kildea ◽  
D. Bonner ◽  
...  
Keyword(s):  
Potato Virus ◽  
Significant Proportion ◽  
Potato Production ◽  
Weather Data ◽  
Management Approach ◽  
Potato Seed ◽  
Virus Diseases ◽  
Aphid Control ◽  
Daily Weather Data ◽  
Potato Crops

Abstract Virus diseases are of key importance in potato production and in particular for the production of disease-free potato seed. However, there is little known about the frequency and distribution of potato virus diseases in Ireland. Despite a large number of samples being tested each year, the data has never been collated either within or across years. Information from all known potato virus testing carried out in the years 2006–2012 by the Department of Agriculture Food and Marine was collated to give an indication of the distribution and incidence of potato virus in Ireland. It was found that there was significant variation between regions, varieties, years and seed classes. A definition of daily weather data suitable for aphid flight was developed, which accounted for a significant proportion of the variation in virus incidence between years. This use of weather data to predict virus risk could be developed to form the basis of an integrated pest management approach for aphid control in Irish potato crops.

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