scholarly journals Soya bean yield variability in the Argentine Pampas in relation to synoptic weather types: monitoring implications

2009 ◽  
Vol 16 (4) ◽  
pp. 501-511 ◽  
Author(s):  
M. Laura Bettolli ◽  
Walter M. Vargas ◽  
Olga C. Penalba
Keyword(s):  
Soya Bean ◽  
Yield Variability ◽  
Weather Types ◽  
Synoptic Weather ◽  
Bean Yield ◽  
Argentine Pampas

Uncertainty assessment of soya bean yield gaps using DSSAT‐CSM‐CROPGRO‐Soybean calibrated by cultivar maturity groups

2019 ◽  
Vol 205 (5) ◽  
pp. 533-544 ◽  
Author(s):  
Wilson Wagner Ribeiro Teixeira ◽  
Rafael Battisti ◽  
Paulo Cesar Sentelhas ◽  
Milton Ferreira Moraes ◽  
Adilson Oliveira Junior
Keyword(s):  
Uncertainty Assessment ◽  
Soya Bean ◽  
Yield Gaps ◽  
Bean Yield ◽  
Maturity Groups

scholarly journals Short-Term Associations of Fine Particulate Matter and Synoptic Weather Types with Cardiovascular Mortality: An Ecological Time-Series Study in Shanghai, China

2020 ◽  
Vol 17 (3) ◽  
pp. 1111 ◽  
Author(s):  
Qing Tian ◽  
Mei Li ◽  
Scott Montgomery ◽  
Bo Fang ◽  
Chunfang Wang ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Cardiovascular Mortality ◽  
Fine Particulate Matter ◽  
Weather Conditions ◽  
Cold Weather ◽  
Short Term ◽  
Weather Types ◽  
Synoptic Weather ◽  
Fine Particulate ◽  
Pm2.5 Concentration

Background: Exposures to both ambient fine particulate matter (PM2.5) and extreme weather conditions have been associated with cardiovascular disease (CVD) deaths in numerous epidemiologic studies. However, evidence on the associations with CVD deaths for interaction effects between PM2.5 and weather conditions is still limited. This study aimed to investigate associations of exposures to PM2.5 and weather conditions with cardiovascular mortality, and further to investigate the synergistic or antagonistic effects of ambient air pollutants and synoptic weather types (SWTs). Methods: Information on daily CVD deaths, air pollution, and meteorological conditions between 1 January 2012 and 31 December 2014 was obtained in Shanghai, China. Generalized additive models were used to assess the associations of daily PM2.5 concentrations and meteorological factors with CVD deaths. A 15-day lag analysis was conducted using a polynomial distributed lag model to access the lag patterns for associations with PM2.5. Results: During the study period, the total number of CVD deaths in Shanghai was 59,486, with a daily mean of 54.3 deaths. The average daily PM2.5 concentration was 55.0 µg/m3. Each 10 µg/m3 increase in PM2.5 concentration was associated with a 1.26% (95% confidence interval (CI): 0.40%, 2.12%) increase in CVD mortality. No SWT was statistically significantly associated with CVD deaths. For the interaction between PM2.5 and SWT, statistically significant interactions were found between PM2.5 and cold weather, with risk for PM2.5 in cold dry SWT decreasing by 1.47% (95% CI: 0.54%, 2.39%), and in cold humid SWT the risk decreased by 1.45% (95% CI: 0.52%, 2.36%). In the lag effect analysis, statistically significant positive associations were found for PM2.5 in the 1–3 lag days, while no statistically significant effects were found for other lag day periods. Conclusions: Exposure to PM2.5 was associated with short-term increased risk of cardiovascular deaths with some lag effects, while the cold weather may have an antagonistic effect with PM2.5. However, the ecological study design limited the possibility to identify a causal relationship, so prospective studies with individual level data are warranted.

Kawasaki disease in Spanish paediatric population and synoptic weather types: an observational study

2018 ◽  
Vol 38 (7) ◽  
pp. 1259-1266 ◽  
Author(s):  
Leyre Riancho-Zarrabeitia ◽  
Domingo F. Rasilla ◽  
Dominic Royé ◽  
Pablo Fdez-Arroyabe ◽  
Ana Santurtún
Keyword(s):  
Kawasaki Disease ◽  
Observational Study ◽  
Paediatric Population ◽  
Weather Types ◽  
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.

Using temporal stability to estimate soya bean yield: a case study in Paraná state, Brazil

2016 ◽  
Vol 37 (5) ◽  
pp. 1223-1242 ◽  
Author(s):  
Gleyce K. D. A. Figueiredo ◽  
Nathaniel A. Brunsell ◽  
Jansle V. Rocha ◽  
Rubens A. C. Lamparelli ◽  
Michelle C. A. Picoli
Keyword(s):  
Temporal Stability ◽  
Soya Bean ◽  
Bean Yield

Environmental factors affecting yield variability in spring and winter rapeseed genotypes cultivated in the southeastern Argentine Pampas

2013 ◽  
Vol 48 ◽  
pp. 88-100 ◽  
Author(s):  
Nicolás E. Takashima ◽  
Déborah P. Rondanini ◽  
Laura E. Puhl ◽  
Daniel J. Miralles
Keyword(s):  
Environmental Factors ◽  
Yield Variability ◽  
Factors Affecting ◽  
Winter Rapeseed ◽  
Argentine Pampas
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