RELATION BETWEEN PRE-MONSOON SOIL TEMPERATURE AND MONSOON RAINFALL IN A TROPICAL STATION

The South West Monsoon rainfall data of the meteorological subdivision number 6 of India enclosing Gangetic West Bengal is shown to be decomposable into eight empirical time series, namely Intrinsic Mode Functions. This leads one to identify the first empirical mode as a nonlinear part and the remaining modes as the linear part of the data. The nonlinear part is modeled with the technique Neural Network based Generalized Regression Neural Network model technique whereas the linear part is sensibly modeled through simple regression method. The different Intrinsic modes as verified are well connected with relevant atmospheric features, namely, El Nino, Quasi-biennial Oscillation, Sunspot cycle and others. It is observed that the proposed model explains around 75% of inter annual variability (IAV) of the rainfall series of Gangetic West Bengal. The model is efficient in statistical forecasting of South West Monsoon rainfall in the region as verified from independent part of the real data. The statistical forecasts of SWM rainfall for GWB for the years 2012 and 2013 are108.71 cm and 126.21 cm respectively, where as corresponding to the actual rainfall of 93.19 cm 115.20 cm respectively which are within one standard deviation of mean rainfall.

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THE ROLE OF GRASSLAND IN MANAGEMENT

Proceedings of the New Zealand Grassland Association ◽

10.33584/jnzg.1968.30.1259 ◽

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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Oklahoma Mesonet Research - Soil Temperature Variability

Oklahoma Mesonet ◽

10.15763/dbs.mesonet.research.soiltempvar ◽

1994 ◽

Cited By ~ 1

Author(s):

◽

Chris Fiebrich ◽

Brad Illston

Keyword(s):

Soil Temperature ◽

Temperature Variability ◽

Oklahoma Mesonet

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Relation between soil temperature and biophysical parameters in Indian mustard seeds

International Agrophysics ◽

10.2478/intag-2013-0005 ◽

2013 ◽

Vol 27 (4) ◽

pp. 359-367 ◽

Cited By ~ 1

Author(s):

T. Adak ◽

N.V.K. Chakravarty

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Soil Temperature ◽

Surface Soil ◽

Linear Regression Analysis ◽

Indian Mustard ◽

Biophysical Parameters ◽

Oil Accumulation ◽

Area Index ◽

Surface Soil Temperature

Abstract Temporal changes in surface soil temperature were studied in winter crop. Significant changes in bare and cropped soil temperature were revealed. Air temperature showed a statistically positive and strong relationship (R2 = 0.79** to 0.92**) with the soil temperature both at morning and afternoon hours. Linear regression analysis indicated that each unit increase in ambient temperature would lead to increase in minimum and maximum soil temperatures by 1.04 and 1.02 degree, respectively. Statistically positive correlation was revealed among biophysical variables with the cumulative surface soil temperature. Linear and non-linear regression analysis indicated 62-69, 72-86 and 72-80% variation in Leaf area index, dry matter production and heat use efficiency in Indian mustard crop as a function of soil degree days. Below 60% variation in yield in Indian mustard was revealed as a function of soil temperature. In contrast, non-significant relationship between oil content and soil temperature was found, which suggests that oil accumulation in oilseed crops was not affected significantly by the soil temperature as an independent variable.

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