scholarly journals Daily Temperature Cycle Induces Daily Hatching Rhythm in Eastern Lubber Grasshoppers,Romalea microptera

2013 ◽  
Vol 22 (1) ◽  
pp. 51-55 ◽  
Author(s):  
Amanda R. Smith ◽  
Ashley Nowak ◽  
Patrick Wagner ◽  
Rebekah Yates ◽  
Elise Janci ◽  
...  
Keyword(s):  
Daily Temperature ◽  
Temperature Cycle

scholarly journals Estimation of seasonal boundaries using temperature data: a case of northwest part of Bangladesh

2020 ◽  
Vol 6 (1) ◽  
pp. 50-62
Author(s):  
Syed Mustafizur Rahman ◽  
Syed Mahbubur Rahman ◽  
Md. Shuzon Ali ◽  
Md. Abdullah Al Mamun ◽  
Md. Nezam Uddin
Keyword(s):  
Spectral Analysis ◽  
Crop Productivity ◽  
Temperature Data ◽  
Daily Temperature ◽  
Temperature Cycle ◽  
Local Climate ◽  
Higher Power ◽  
Cycle Plays ◽  
Maximum Temperatures ◽  
Harmonic Analyses

Abstract Seasons are the divisions of the year into months or days according to the changes in weather, ecology and the intensity of sunlight in a given region. The temperature cycle plays a major role in defining the meteorological seasons of the year. This study aims at investigating seasonal boundaries applying harmonic analysis in daily temperature for the duration of 30 years, recorded at six stations from 1988 to 2017, in northwest part of Bangladesh. Year by year harmonic analyses of daily temperature data in each station have been carried out to observe temporal and spatial variations in seasonal lengths. Periodic nature of daily temperature has been investigated employing spectral analysis, and it has been found that the estimated periodicities have higher power densities of the frequencies at 0.0027 and 0.0053 cycles/day. Some other minor periodic natures have also been observed in the analyses. Using the frequencies between 0.0027 to 0.0278 cycles/day, the observed periodicities in spectral analysis, harmonic analyses of minimum and maximum temperatures have found four seasonal boundaries every year in each of the stations. The estimated seasonal boundaries for the region fall between 19-25 February, 19-23 May, 18-20 August and 17-22 November. Since seasonal variability results in imbalance in water, moisture and heat, it has the potential to significantly affect agricultural production. Hence, the seasons and seasonal lengths presented in this research may help the concerned authorities take measures to reduce the risks for crop productivity to face the challenges arise from changing climate. Moreover, the results obtained are likely to contribute in introducing local climate calendar.

scholarly journals Diurnal temperature cycle deduced from extreme daily temperatures and impact over a surface reanalysis system

2015 ◽  
Vol 12 (1) ◽  
pp. 137-140 ◽  
Author(s):  
F. Besson ◽  
E. Bazile ◽  
C. Soci ◽  
J.-M. Soubeyroux ◽  
G. Ouzeau ◽  
...  
Keyword(s):  
Daily Temperature ◽  
Temperature Cycle ◽  
Extreme Temperatures ◽  
Temperature Analysis ◽  
Diurnal Temperature ◽  
Hourly Temperature ◽  
Observation Network ◽  
Temperature Observations ◽  
Analysis System ◽  
Extreme Daily Temperature

Abstract. Due to the evolution of the observation network, hourly 2 m temperature analysis performed by reanalysis systems shows temporal inhomogeneities. The observation network gap is less present for extreme daily temperature observations. In order to reduce inhomogeneities and enable a climatological use of temperature analysis, information from extreme temperatures could be useful. In this study, the diurnal temperature cycle has been reconstructed for stations which only record extreme temperatures. These new "pseudo" hourly temperature observations are then provided to the analysis system. Two methods have been used to deduce hourly temperatures from extremes and compared to real observations. The results have shown that using those new pseudo-observations as an input for two different reanalysis systems enables reducing the bias in temperature analysis.

scholarly journals Medidas de temperatura em ambiente interno usando a Plataforma Arduino

2020 ◽  
Vol 42 ◽  
pp. 35
Author(s):  
Greice Scherer Ritter ◽  
Eliezer Oliveira Cavalheiro ◽  
Ronaldo Barcelos e Silva ◽  
Leonardo Da Rosa Schmidt ◽  
Silvana Maldaner
Keyword(s):  
Environmental Conditions ◽  
Low Cost ◽  
Temperature Response ◽  
Measurement Range ◽  
Daily Temperature ◽  
Temperature Measurements ◽  
Temperature Cycle ◽  
Temperature Sensitive ◽  
Linear Temperature ◽  
Arduino Microcontroller

The paper presents the results of a study with temperature measurements using low cost sensors connected to an Arduino microcontroller. To perform the study, three sensors widely used for monitoring environmental conditions with Arduino. The selected sensors were the LM35DZ (analog sensor) and DHT11 and DHT22 (digital sensors). The LM35DZ sensor is a sensor known to be an analog sensor that has linear temperature response with voltage. The DHT11 sensor measures temperature and humidity simultaneously.  To measure temperature the DHT11 sensor uses a temperature-sensitive resistor and has a measurement range from 0 to 50 °C, with an uncertainty ± 2% ° C. The DHT22 has a measurement range  -40 to 80 ° C and an uncertainty ± 1% ° C.  Simultaneous temperature measurements with the three sensors showed good performance in indoor situations, showing the maximum and minimum temperatures of a daily temperature cycle.

scholarly journals What’s the temperature in tropical caves?

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0237051
Author(s):  
Luis Mejía-Ortíz ◽  
Mary C. Christman ◽  
Tanja Pipan ◽  
David C. Culver
Keyword(s):  
Rainy Season ◽  
Temporal Pattern ◽  
Temperature Variability ◽  
Daily Temperature ◽  
The Other ◽  
Quintana Roo ◽  
Temperature Cycle ◽  
Hourly Temperature ◽  
Surface Variation ◽  
One Year

Hourly temperature was measured for approximately one year at 17 stations in three caves in Quintana Roo, Mexico. Thirteen of these stations were in the extensive twilight zones of all three caves. All seventeen stations showed seasonality in temperature with a 3°C drop during the Nortes season. Two of the caves, Muévelo Sabrosito and Muévelo Rico, showed greater variability during the winter months while in Río Secreto (Tuch) variability was greatest during the rainy season. Río Secreto is less open to the surface than the other two. All sites also showed a daily temperature cycle, although it was very faint in some Río Secreto (Tuch) sites. While temperature variability is diminished relative to surface variation, its temporal pattern is worthy of further study.

High-Altitude Experimental Test of the Wind-Wave Interaction Models

2021 ◽  
Author(s):  
Alexander Babanin ◽  
Eduardo Palenque
Keyword(s):  
Wave Interaction ◽  
Sandy Beaches ◽  
Dry Season ◽  
Daily Temperature ◽  
Temperature Cycle ◽  
The South ◽  
The North ◽  
Large Water ◽  
Empirical Coefficients ◽  
The Waves

<p>We present the idea to experimentaly test the empirical models used in fluid mechanics. The models consider that the waves develop due the wind energy trasferred from the air to the urface of the water. However, all of those models were validated considering data at sea level, with effectively fixed air density. Here we propose to test the adjustment of the empirical coefficients studying the waves generated in Lake Titikaka, which is located at an altitute high enough (3800 m) to have a reduced atmospheric pressure. Lake Titikaka is located in the North side of the Altiplano (high plateu) in South America. It is shared between Bolivia and Peru, and it is, by far, the largest water body in the region, and at such altitudes in general. So it becomes a dominant geographical and climatic unit in the South American Altiplano, which has a desert–like climate, with monsoon-type rainy season (November to February) and a long dry season (March to October). During the dry season (local winter) the daily temperature cycle goes from maxima around 15 °C (past noon) to freezing minima near -5 °C (before dawn). This temperature span is larger than the seasonal difference, around 5 °C, between summer and winter. Due to its large water mass, the Lake hampers the temperature variations and avoids the freezing of both the lake itself and its shores. The daily temperature fluctuations cause also a daily wind-intensity cycle, with maxima just before the sunset. Lake Titikaka has an alongated shape with a long axis of 120 km in the NW-SE direction, and its short axis of 50 km in the NE-SW direction; with a large peninsula on the South shore (Copacabana). This size, plus deep waters (in excess of 250 m, pelagic condition) allows development of extnsive waves produced by the surface winds, coming predominantly from the North. The shores of Lake Titikaka have several geographical features, among others: delta rivers, sandy beaches and rock cliffs. The (“main”) study site is located in the large portion of the lake, near a mid-point between Santiago de Huata and the Isla de la Luna (Moon Island) as far possible from the shores.</p>

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