UK seasonal weather summary: Autumn 2021

Weather ◽  
2022 ◽  
Vol 77 (1) ◽  
pp. 19-19
Author(s):  
Keyword(s):  
Seasonal Weather

scholarly journals Variable Link Performance Due to Weather Effects in a Long-Range, Low-Power LoRa Sensor Network

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3128
Author(s):  
Thomas Ameloot ◽  
Patrick Van Torre ◽  
Hendrik Rogier
Keyword(s):  
Sensor Networks ◽  
Low Power ◽  
Sensor Network ◽  
Link Quality ◽  
Long Distance ◽  
Received Power ◽  
Link Performance ◽  
Weather Changes ◽  
Minimal Power Consumption ◽  
Seasonal Weather

When aiming for the wider deployment of low-power sensor networks, the use of sub-GHz frequency bands shows a lot of promise in terms of robustness and minimal power consumption. Yet, when deploying such sensor networks over larger areas, the link quality can be impacted by a host of factors. Therefore, this contribution demonstrates the performance of several links in a real-world, research-oriented sensor network deployed in a (sub)urban environment. Several link characteristics are presented and analysed, exposing frequent signal deterioration and, more rarely, signal strength enhancement along certain long-distance wireless links. A connection is made between received power levels and seasonal weather changes and events. The irregular link performance presented in this paper is found to be genuinely disruptive when pushing sensor-networks to their limits in terms of range and power use. This work aims to give an indication of the severity of these effects in order to enable the design of truly reliable sensor networks.

Investigation of the Summer Climate of the Contiguous United States and Mexico Using the Regional Atmospheric Modeling System (RAMS). Part II: Model Climate Variability

2007 ◽  
Vol 20 (15) ◽  
pp. 3866-3887 ◽  
Author(s):  
Christopher L. Castro ◽  
Roger A. Pielke ◽  
Jimmy O. Adegoke ◽  
Siegfried D. Schubert ◽  
Phillip J. Pegion
Keyword(s):  
United States ◽  
Climate Model ◽  
Weather Prediction ◽  
Regional Climate ◽  
Summer Rainfall ◽  
Atmospheric Modeling ◽  
Regional Atmospheric Modeling System ◽  
Prediction Mode ◽  
Regional Atmospheric Modeling ◽  
Seasonal Weather

Abstract Summer simulations over the contiguous United States and Mexico with the Regional Atmospheric Modeling System (RAMS) dynamically downscaling the NCEP–NCAR Reanalysis I for the period 1950–2002 (described in Part I of the study) are evaluated with respect to the three dominant modes of global SST. Two of these modes are associated with the statistically significant, naturally occurring interannual and interdecadal variability in the Pacific. The remaining mode corresponds to the recent warming of tropical sea surface temperatures. Time-evolving teleconnections associated with Pacific SSTs delay or accelerate the evolution of the North American monsoon. At the period of maximum teleconnectivity in late June and early July, there is an opposite relationship between precipitation in the core monsoon region and the central United States. Use of a regional climate model (RCM) is essential to capture this variability because of its representation of the diurnal cycle of convective rainfall. The RCM also captures the observed long-term changes in Mexican summer rainfall and suggests that these changes are due in part to the recent increase in eastern Pacific SST off the Mexican coast. To establish the physical linkage to remote SST forcing, additional RAMS seasonal weather prediction mode simulations were performed and these results are briefly discussed. In order for RCMs to be successful in a seasonal weather prediction mode for the summer season, it is required that the GCM provide a reasonable representation of the teleconnections and have a climatology that is comparable to a global atmospheric reanalysis.

How to Predict Earthquakes by Using Simple and Reliable Method? Peru, Chile, Italy, Greece, New Zealand, Andaman and Nicobar Islands, India

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Prakash Pillai S ◽  
Keyword(s):  
Centrifugal Force ◽  
Reliable Method ◽  
Orbital Motion ◽  
Earthquake Precursors ◽  
Generation Process ◽  
Tectonic Plates ◽  
The Earth ◽  
Eruption Precursors ◽  
Weather Anomalies ◽  
Seasonal Weather

This paper intended to highlight the simple, quick and reliable method to detect impending earthquake�s location. Volcanic eruption precursors are originated only around the volcanos, like that the onshore earthquake precursors are originated only from earthquake epicenter zones. Epicenter zones are earthquake zones, a little variation of fault zone, it comprises movable tectonic plates. Due to the orbital motion of the earth, centrifugal force generated, this centrifugal force is the major driving force of tectonic plates. The position of the orbital motion of the earth generated seasonal variations/atmospheric weather anomalies as onshore earthquake precursors and earthquakes, year after year repeating at same places. The generation process of seasonal weather anomalies is the part of generation process of earthquakes at epicenter zones. Both seasonal weather anomalies and seismic anomalies are not continued all through the year at same places. When earth comes to particular position, tectonic plates of particular epicenter zones are set to more active and becomes unstable epicenter zones, causes identifiable, observable, recordable and testable onshore earthquake precursors 1-15 days prior to earthquakes occur.

scholarly journals EFFECTS OF SEASONAL WEATHER VARIABILITY ON OLIVE OIL COMPOSITION IN NORTHERN ITALY

2008 ◽  
pp. 769-776 ◽  
Author(s):  
D. Tura ◽  
O. Failla ◽  
S. Pedò ◽  
C. Gigliotti ◽  
D. Bassi ◽  
...  
Keyword(s):  
Olive Oil ◽  
Northern Italy ◽  
Oil Composition ◽  
Weather Variability ◽  
Seasonal Weather

Supercomputing the Seasonal Weather Prediction

2019 ◽  
pp. 415-426
Author(s):  
Rostislav Fadeev ◽  
Konstantin Ushakov ◽  
Mikhail Tolstykh ◽  
Rashit Ibrayev ◽  
Vladimir Shashkin ◽  
...  
Keyword(s):  
Weather Prediction ◽  
Seasonal Weather

Seasonal weather patterns drive population vital rates and persistence in a stream fish

2015 ◽  
Vol 21 (5) ◽  
pp. 1856-1870 ◽  
Author(s):  
Yoichiro Kanno ◽  
Benjamin H. Letcher ◽  
Nathaniel P. Hitt ◽  
David A. Boughton ◽  
John E. B. Wofford ◽  
...  
Keyword(s):  
Stream Fish ◽  
Vital Rates ◽  
Weather Patterns ◽  
Seasonal Weather
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