Variations of Soil Temperature, CO2Flux, and Meteorological Parameters

2013 ◽  
pp. 269-277 ◽  
Author(s):  
Paolo Madonia ◽  
Lorenzo Brusca ◽  
Salvatore Inguaggiato ◽  
Manfredi Longo ◽  
Sabina Morici
Keyword(s):  
Soil Temperature ◽  
Meteorological Parameters

Studies of the ecoclimatological optimum of the African Migratory Locust, locusta migratoria migratorioides

1979 ◽  
Vol 287 (1022) ◽  
pp. 357-357
Keyword(s):  
Soil Moisture ◽  
Soil Temperature ◽  
Meteorological Parameters ◽  
Locusta Migratoria ◽  
Intertropical Convergence Zone ◽  
Ecological Modelling ◽  
Insect Control ◽  
Migratory Locust ◽  
Feedback Mechanisms ◽  
Locusta Migratoria Migratorioides

The environment of African Migratory Locusts is a system with many feedback mechanisms, and in which many meteorological parameters are necessary to explain the population dynamics. The desired strategy of insect control in the early stages of development (eggs, larvae) leads to studies of the relevant meteorological parameters during these stages: optimal water-balance and soil temperature. These elements vary with the general atmospheric circulation and particularly with the position of the intertropical convergence zone, involving multiple relations studied first by Farrow (1972). Moisture in the upper layers of the soil has been found particularly important, affecting the locusts not only directly but also indirectly by influencing the availability of plants as food. Soil moisture has been found to be relatively easy to measure or calculate, recently with the assistance of satellite photo-interpretation. Ecological modelling for prediction seems encouraging, and a map of the risk of realization of critical values of soil-moisture (and soil temperature) has been sketched.

scholarly journals Simulation of Soil Temperature Dynamics with Models Using Different Concepts

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Renáta Sándor ◽  
Nándor Fodor
Keyword(s):  
Soil Temperature ◽  
Leaf Area ◽  
Meteorological Parameters ◽  
Test Site ◽  
Temperature Oscillation ◽  
Winter Period ◽  
1D Model ◽  
Different Depths ◽  
Insulation Effect ◽  
Hydrus 1D

This paper presents two soil temperature models with empirical and mechanistic concepts. At the test site (calcaric arenosol), meteorological parameters as well as soil moisture content and temperature at 5 different depths were measured in an experiment with 8 parcels realizing the combinations of the fertilized, nonfertilized, irrigated, nonirrigated treatments in two replicates. Leaf area dynamics was also monitored. Soil temperature was calculated with the original and a modified version of CERES as well as with the HYDRUS-1D model. The simulated soil temperature values were compared to the observed ones. The vegetation reduced both the average soil temperature and its diurnal amplitude; therefore, considering the leaf area dynamics is important in modeling. The models underestimated the actual soil temperature and overestimated the temperature oscillation within the winter period. All models failed to account for the insulation effect of snow cover. The modified CERES provided explicitly more accurate soil temperature values than the original one. Though HYDRUS-1D provided more accurate soil temperature estimations, its superiority to CERES is not unequivocal as it requires more detailed inputs.

scholarly journals The interrelationship between meteorological parameters and leptospirosis incidence in Hambantota district, Sri Lanka 2008–2017 and practical implications

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245366
Author(s):  
N. D. B. Ehelepola ◽  
Kusalika Ariyaratne ◽  
D. S. Dissanayake
Keyword(s):  
Time Series ◽  
Sri Lanka ◽  
Wavelet Analysis ◽  
Soil Temperature ◽  
Cross Correlation ◽  
Evaporation Rate ◽  
Meteorological Parameters ◽  
Long Term Study ◽  
Cross Correlation Analysis ◽  
Weather Parameters

Background Leptospirosis is a bacterial zoonosis. Leptospirosis incidence (LI) in Sri Lanka is high. Infected animals pass leptospires to the environment with their urine. Leprospires' survival in the environment to infect a new host depends on meteorological factors. El Nino Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) modulate the weather in Sri Lanka. Objectives The determination of interrelationship between the LI in the Hambantota District, and local meteorological parameters, ENSO and IOD. Methods We acquired notified leptospirosis cases in the Hambantota District and population data. We calculated weekly leptospirosis incidences for 2008 to 2017.Weather data from two weather stations was obtained, averaged and converted into weekly data. We plotted time series graphs and observed the correlation between seven aggregated weather parameters and LI. We estimated cross-correlations between those weather parameters and LI. As our principal analysis we determined correlation between LI and seven local weather parameters, Nino 3.4, Nino4 and Dipole Mode Index (DMI) indices using wavelet analysis. Results Our wavelet analysis results showed troughs of minimum, maximum, mean temperatures, soil temperature, the evaporation rate, the duration of sunshine were followed by peaks in LI and peaks of rainfall followed by peaks of LI, all after lag periods. Our time series graphs and cross-correlation determination results are generally in agreement with these results. However there was no significant correlation between rainfall and LI in the cross-correlation analysis. There were peaks of LI following both peaks and troughs of DMI. There was no clear correlation between both Nino indices and LI. Discussion This may be the first long-term study demonstrating soil temperature, evaporation rate and IOD are correlating with LI. The correlation pattern of LI with temperature parameters differs from similar past studies and we explain the reasons. We propose ways to control high LI we observed after periods of weather favorable for transmission of leptospirosis.

scholarly journals Quantification of soil temperature in sole and intercropped pigeonpea (Cajanus cajan L. Millsp.) using meteorological parameters

MAUSAM ◽  
2021 ◽  
Vol 50 (1) ◽  
pp. 77-82
Author(s):  
H. R. PATEL ◽  
A. N. MEHTA ◽  
H. VENKATESH ◽  
A. M. SHEKH ◽  
J. R. PATEL
Keyword(s):  
Soil Temperature ◽  
Thermal Regime ◽  
Cajanus Cajan ◽  
Meteorological Parameters ◽  
Root Zone ◽  
Cropping Systems ◽  
Cropping System ◽  
Growth Period ◽  
Maximum Temperature ◽  
Sw Monsoon

The meteorological week-wise soil thermal regime in the root zone (5, 15 and 30 cm depth) of pigeonpea and pigeonpea based groundnut (Arachis hypogaea) cropping systems was studied in relation to various meteorological parameters twice a day, 0738 and 1438 hrs (IST) for three years (1986-87, 1987-88 and 1988-89), in the middle Gujarat region.   A decline in soil thermal regime was observed on three occasions during the crop growth period viz., at onset of SW monsoon, at the end of rainy season and at the time of harvesting of intercrop, In sole pigeonpea, the soil temperature upto 30 cm depth can be estimated from mean air temperature, whereas in the pigeonpea + groundnut cropping system, before harvest of intercrop the minimum and maximum temperature were found to be more appropriate for estimation of morning and afternoon time respectively, but only in the top layers of the soil.

scholarly journals Modeling Hourly Soil Temperature Using Deep BiLSTM Neural Network

Algorithms ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 173
Author(s):  
Cong Li ◽  
Yaonan Zhang ◽  
Xupeng Ren
Keyword(s):  
Soil Temperature ◽  
Land Surface ◽  
Meteorological Parameters ◽  
Time Series Data ◽  
The United States ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Prediction Ability ◽  
Daily Average ◽  
Biogeochemical Models

Soil temperature (ST) plays a key role in the processes and functions of almost all ecosystems, and is also an essential parameter for various applications such as agricultural production, geothermal development, and their utilization. Although numerous machine learning models have been used in the prediction of ST, and good results have been obtained, most of the current studies have focused on daily or monthly ST predictions, while hourly ST predictions are scarce. This paper presents a novel scheme for forecasting the hourly ST using weather forecast data. The method considers the hourly ST prediction to be the superposition of two parts, namely, the daily average ST prediction and the ST amplitude (the difference between the hourly ST and the daily average ST) prediction. According to the results of correlation analysis, we selected nine meteorological parameters and combined two temporal parameters as the input vectors for predicting the daily average ST. For the task of predicting the ST amplitude, seven meteorological parameters and one temporal parameter were selected as the inputs. Two submodels were constructed using a deep bidirectional long short-term memory network (BiLSTM). For the task of hourly ST prediction at five different soil depths at 30 sites, which are located in 5 common climates in the United States, the results showed the method proposed in this paper performs best at all depths for 30 stations (100% of all) for the root mean square error (RMSE), 27 stations (90% of all) for the mean absolute error (MAE), and 30 stations (100% of all) for the coefficient of determination (R2), respectively. Moreover, the method adopted in this study displays a stronger ST prediction ability than the traditional methods under all climate types involved in the experiment, the hourly ST produced by it can be used as a driving parameter for high-resolution biogeochemical models, land surface models and hydrological models and can provide ideas for an analysis of other time series data.

Tendencies in current climate change and atmospheric circulation variability in the Arctic region of West Siberia

2017 ◽  
Vol 7 (2) ◽  
pp. 311-320
Author(s):  
Elena V. Kharyutkina ◽  
Sergey V. Loginov
Keyword(s):  
Soil Temperature ◽  
Atmospheric Circulation ◽  
Surface Albedo ◽  
Meteorological Parameters ◽  
Arctic Region ◽  
West Siberia ◽  
Reanalysis Data ◽  
The Arctic ◽  
Spatial And Temporal Variability ◽  
The Arctic Region

The main goal of this study is to carry out the investigation of the climatic parameters variability and the role of global atmospheric circulation in their trends over the Arctic region of West Siberia (60-70°N, 60-90°E) using reanalysis data. The characteristics of spatial and temporal variability of meteorological parameters (surface air temperature and soil temperature, atmospheric pressure, snow depth and surface albedo) were calculated using ERA-Interim reanalysis data over the period of 1979−2015. It was established that in the beginning of XXI century, there is an air and soil temperature decrease in winter and autumn and its statistically significant increase in spring and summer. The tendency to permafrost area degradation is observed for the Arctic region. The maximal changes are observed in low-temperature permafrost soils than in soils with higher temperature. This trend is accompanied by the decrease in snow cover depth and surface albedo. Global circulation indices variability, its relationships with meteorological parameters in West Siberia and with sea ice cover extent in the Arctic Seas indicate that atmospheric blocking processes, which are responsible for anticyclonic type of weather, were developed in the region during last decades.

THE ROLE OF GRASSLAND IN MANAGEMENT

1968 ◽  
pp. 44-49
Author(s):  
B.K. Cameron
Keyword(s):  
Soil Temperature ◽  
Annual Rainfall ◽  
Silt Loam ◽  
Average Annual Rainfall ◽  
Very High ◽  
Wilting Point

THE PROPERTY to be discussed is a mixed sheep and cropping unit, situated ei ht a miles east of Ashburton and midway between the Ra aia and the Ashburton rivers. Average annual rainfall is 27 in., evenly spread, but there is very high summer evaporation and therefore frequent droughts. On average, the soil is below wilting point for 40 to 50 days each summer. Winters are cold with the soil temperature being below 48°F for about four months each year. The soil is a Lismore stony silt loam averaging 9 in. in depth over gravel.

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