A simulation model operating with daily weather data to explore silage and haymaking opportunities in climatically different areas of Scotland

1995 ◽  
Vol 48 (3) ◽  
pp. 315-343 ◽  
Author(s):  
M.B. McGechan ◽  
G. Cooper
Keyword(s):  
Simulation Model ◽  
Weather Data ◽  
Daily Weather ◽  
Daily Weather Data

scholarly journals A dataset of future daily weather data for crop modelling over Europe derived from climate change scenarios

2015 ◽  
Vol 127 (3-4) ◽  
pp. 573-585 ◽  
Author(s):  
G. Duveiller ◽  
M. Donatelli ◽  
D. Fumagalli ◽  
A. Zucchini ◽  
R. Nelson ◽  
...  
Keyword(s):  
Climate Change ◽  
Weather Data ◽  
Climate Change Scenarios ◽  
Crop Modelling ◽  
Daily Weather ◽  
Daily Weather Data

Impact of climate change on harvest security and biomass yield of two timothy ley harvesting systems in Norway

2013 ◽  
Vol 152 (2) ◽  
pp. 205-216 ◽  
Author(s):  
T. PERSSON ◽  
M. HÖGLIND
Keyword(s):  
Climate Change ◽  
Biomass Yield ◽  
Phleum Pratense ◽  
Future Climate ◽  
Weather Data ◽  
Future Climate Change ◽  
Daily Weather ◽  
Daily Weather Data ◽  
Dry Spell ◽  
Harvesting Regime

SUMMARYPredicted future climate changes in northern Europe include increased air temperature and altered precipitation patterns. There is a lack of knowledge about potential climate change effects on the biomass yield and security of agricultural crops. The present study determined the potential impact of future climate change on the yield and harvest security of timothy (Phleum pratense L.). Harvest security was assessed using data on accumulated precipitation and the length of dry spell period within the 7 days after cutting. Timothy production as a function of weather, soil and management practices was simulated using the LINGRA model for the periods 1961–90, 2046–65 and 2080–99, and the locations Apelsvoll, Ås, Sola, Tromsø and Værnes in Norway and harvest systems with 600 and 800 °C days between cuts. One hundred years of daily weather data were generated with the LARS-WG tool, using future daily weather data sets based on 12 Global Climate Models. Total seasonal biomass yield varied between 690 g dry matter (DM)/m2 for the 800 °C days harvesting regime in the period 1961–90 at Tromsø and 1548 g DM/m2 for the same harvesting regime in the period 2046–65 at Sola. In general, the biomass was higher in the two future periods than in 1961–90 across locations and harvesting regimes, mainly owing to more cuts per season. Accumulated precipitation after cutting varied between 12·2 mm after the first cut for the 600 °C days harvesting regime in the period 1961–90 at Værnes and 42·5 mm after the fourth cut in the 800 °C days harvesting regime in the period 2080–99 at Sola. The longest duration of dry spell 7 days after pre-planned harvest varied between 1·8 days after the fourth cut at Sola in the 600 °C days harvesting regime for the period 2080–99, and 3·9 days after the first cut at Ås in the 800 °C days harvesting regime for the period 2046–65. Potential consequences of these results are discussed.

scholarly journals GSODR: Global Summary Daily Weather Data in R

2017 ◽  
Vol 2 (10) ◽  
pp. 177 ◽  
Author(s):  
Adam H Sparks ◽  
Tomislav Hengl ◽  
Andrew Nelson
Keyword(s):  
Weather Data ◽  
Daily Weather ◽  
Daily Weather Data

MarkSim: Software to Generate Daily Weather Data for Latin America and Africa

2000 ◽  
Vol 92 (3) ◽  
pp. 445-453 ◽  
Author(s):  
Peter G. Jones ◽  
Philip K. Thornton
Keyword(s):  
Latin America ◽  
Weather Data ◽  
Daily Weather ◽  
Daily Weather Data

scholarly journals Weather and Air Quality Drive the Winter Use of Utah’s Big and Little Cottonwood Canyons

2018 ◽  
Vol 10 (10) ◽  
pp. 3582
Author(s):  
Hongchao Zhang ◽  
Jordan Smith
Keyword(s):  
Air Quality ◽  
Outdoor Recreation ◽  
Salt Lake ◽  
Salt Lake City ◽  
Quality Data ◽  
Weather Data ◽  
Daily Weather ◽  
Daily Weather Data ◽  
Lake City ◽  
The City

Winter outdoor recreation opportunities in Utah are directly impacted by the effects of climate change and deteriorating air quality. We examine the influences of daily weather conditions and air quality on winter use of two prominent Utah canyons located just outside Salt Lake City-Big and Little Cottonwood Canyons. Daily weather data were collected both within the canyons and in Salt Lake City; daily air quality data were collected for just Salt Lake City. We hypothesized that desirable weather within the canyons (i.e., cooler temperatures, more snowfall, and deeper snow depths) serves as a “pull” factor, positively influencing the volume of traffic. We also hypothesized that poor air quality within the city acts as a “push” factor on individuals’ travel behavior, this too would positively influence the volume of traffic up the canyons. We used a panel time-series regression model to determine the influence of both these “push” and “pull” factors on use of the canyons during the winter months. Our results revealed that, as expected, cooler temperatures and greater amounts of snow in the canyons, as well as poorer air quality in the city, have a positive and significant influence on winter canyon use. These findings suggest that warmer winter temperatures, as well as deteriorating air quality in the city, may have substantial impacts on Utah’s outdoor recreation economy.

scholarly journals Projection of Climate Change Influences on U.S. West Nile Virus Vectors

2015 ◽  
Vol 19 (18) ◽  
pp. 1-18 ◽  
Author(s):  
Heidi E. Brown ◽  
Alex Young ◽  
Joceline Lega ◽  
Theodore G. Andreadis ◽  
Jessica Schurich ◽  
...  
Keyword(s):  
Climate Change ◽  
West Nile Virus ◽  
Simulation Model ◽  
Disease Risk ◽  
Weather Data ◽  
Effect Of Temperature ◽  
West Nile ◽  
Virus Vectors ◽  
Daily Weather Data ◽  
The Impact

Abstract While estimates of the impact of climate change on health are necessary for health care planners and climate change policy makers, models to produce quantitative estimates remain scarce. This study describes a freely available dynamic simulation model parameterized for three West Nile virus vectors, which provides an effective tool for studying vectorborne disease risk due to climate change. The Dynamic Mosquito Simulation Model is parameterized with species-specific temperature-dependent development and mortality rates. Using downscaled daily weather data, this study estimates mosquito population dynamics under current and projected future climate scenarios for multiple locations across the country. Trends in mosquito abundance were variable by location; however, an extension of the vector activity periods, and by extension disease risk, was almost uniformly observed. Importantly, midsummer decreases in abundance may be offset by shorter extrinsic incubation periods, resulting in a greater proportion of infective mosquitoes. Quantitative descriptions of the effect of temperature on the virus and mosquito are critical to developing models of future disease risk.

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