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42,971 result(s) for "Autumn"
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It's fall
\"When the leaves start falling and days get colder, Fall is officially here. In this engaging fiction title, a relatable narrator and their friends and family show readers everything that makes Fall unique.\" -- Amazon.com.
What happens in fall?
\"Readers learn the basic science of fall and understand why the weather gets colder as the year goes on\"-- Publisher's website.
Search for Pentaquark Theta super(+) in Hadronic Reaction at J-PARC
The first experiment at the J-PARC hadron facility, the J-PARC E19 experiment, aims at searching for the Theta super(+) pentaquark in the hadronic reaction pi super(-) p arrow right K super(-) X using the missing-mass technique. Based on a superconducting magnet excited at 2.5 T, the spectrometer achieved the high mass resolution of 1.4 MeV/c super(2) for the Theta super(+) production process. The first data taking was performed in the autumn of 2010. No significant structure was observed in the missing-mass spectrum. The upper limit obtained for the differential cross section is 0.26 mu b/sr in the laboratory frame at a 90 % CL.
Fall
Simple text and photographs describe fall, discussing the weather, crops, trees, animals, festivals, and more.
Contrasting responses of autumn-leaf senescence to daytime and night-time warming
Plant phenology is a sensitive indicator of climate change1–4 and plays an important role in regulating carbon uptake by plants5–7. Previous studies have focused on spring leaf-out by daytime temperature and the onset of snow-melt time8,9, but the drivers controlling leaf senescence date (LSD) in autumn remain largely unknown10–12. Using long-term ground phenological records (14,536 time series since the 1900s) and satellite greenness observations dating back to the 1980s, we show that rising pre-season maximum daytime (Tday) and minimum night-time (Tnight) temperatures had contrasting effects on the timing of autumn LSD in the Northern Hemisphere (> 20° N). If higher Tday leads to an earlier or later LSD, an increase in Tnight systematically drives LSD to occur oppositely. Contrasting impacts of daytime and night-time warming on drought stress may be the underlying mechanism. Our LSD model considering these opposite effects improved autumn phenology modelling and predicted an overall earlier autumn LSD by the end of this century compared with traditional projections. These results challenge the notion of prolonged growth under higher autumn temperatures, suggesting instead that leaf senescence in the Northern Hemisphere will begin earlier than currently expected, causing a positive climate feedback.
Dinosaurs in the fall
When the weather starts to get colder, dinosaurs find new ways to have fun. In this innovative first concepts book, dinosaurs dive into autumn in a variety of ways. Readers will see dinos take walks, watch leaves fall, and pick apples off of trees with the help of colorful illustrations that add picture-text correlation to an engaging look at the changing seasons. With text designed to establish a foundation for future reading success, this book is sure to be a hit with readers year-round. Age Appropriate and Achievable Content, Illustrated, Picture Glossary.
Near-Surface Remote Sensing of Spatial and Temporal Variation in Canopy Phenology
There is a need to document how plant phenology is responding to global change factors, particularly warming trends. \"Near-surface\" remote sensing, using radiometric instruments or imaging sensors, has great potential to improve phenological monitoring because automated observations can be made at high temporal frequency. Here we build on previous work and show how inexpensive, networked digital cameras (\"webcams\") can be used to document spatial and temporal variation in the spring and autumn phenology of forest canopies. We use two years of imagery from a deciduous, northern hardwood site, and one year of imagery from a coniferous, boreal transition site. A quantitative signal is obtained by splitting images into separate red, green, and blue color channels and calculating the relative brightness of each channel for \"regions of interest\" within each image. We put the observed phenological signal in context by relating it to seasonal patterns of gross primary productivity, inferred from eddy covariance measurements of surface-atmosphere CO² exchange. We show that spring increases, and autumn decreases, in canopy greenness can be detected in both deciduous and coniferous stands. In deciduous stands, an autumn red peak is also observed. The timing and rate of spring development and autumn senescence varies across the canopy, with greater variability in autumn than spring. Interannual variation in phenology can be detected both visually and quantitatively; delayed spring onset in 2007 compared to 2006 is related to a prolonged cold spell from day 85 to day 110. This work lays the foundation for regional-to continental-scale camera-based monitoring of phenology at network observatory sites, e.g., National Ecological Observatory Network (NEON) or AmeriFlux.