Burdwanweather

Contains the date, standard meteorological week, week number and four weather variables

datasets

Weather indices represent the overall weekly effect of a weather variable on crop yield throughout the cropping season. This package contains functions that can convert the weekly weather data into yearly weighted Weather indices with weights being the correlation coefficient between weekly weather data over the years and crop yield over the years. This can be done for an individual weather variable and for two weather variables at a time as the interaction effect. This method was first devised by Jain, RC, Agrawal R, and Jha, MP (1980), "Effect of climatic variables on rice yield and its forecast",MAUSAM, 31(4), 591–596, <doi:10.54302/mausam.v31i4.3477>. Later, the method have been used by various researchers and the latest can found in Gupta, AK, Sarkar, KA, Dhakre, DS, & Bhattacharya, D (2022), "Weather Based Potato Yield Modelling using Statistical and Machine Learning Technique",Environment and Ecology, 40(3B), 1444–1449,<https://www.environmentandecology.com/volume-40-2022>.

Akhilesh Kumar Gupta

weatherindices

Calculate Weather Indices

Kader Ali Sarkar

Digvijay Singh Dhakre

Debasis Bhattacharya

Burdwanweather function

A data frame with 741 rows of 7 variables<dl>
<dt>Date</dt>
<dd>starting date of data</dd><dt>SMW</dt>
<dd>Standard Meteorological Week</dd><dt>Week</dt>
<dd>week number of crop growing season</dd><dt>Max.Temperature</dt>
<dd>Daily Maximum temperature data averaged over week</dd><dt>Min.Temperature</dt>
<dd>Daily Minimum temperature data averaged over week</dd><dt>Precipitation</dt>
<dd>Daily Rainfall data summed over week</dd><dt>Relative.Humidity</dt>
<dd>Daily Relative.Humidity data averaged over week</dd>
</dl>

Format

Weekly weather data for the rice growing season in Burdwan district of West Bengal, India over 39 years — Burdwanweather

A data frame with 741 rows of 7 variables<dl>
<dt>Date</dt>
<dd>starting date of data</dd>

<dt>SMW</dt>
<dd>Standard Meteorological Week</dd>

<dt>Week</dt>
<dd>week number of crop growing season</dd>

<dt>Max.Temperature</dt>
<dd>Daily Maximum temperature data averaged over week</dd>

<dt>Min.Temperature</dt>
<dd>Daily Minimum temperature data averaged over week</dd>

<dt>Precipitation</dt>
<dd>Daily Rainfall data summed over week</dd>

<dt>Relative.Humidity</dt>
<dd>Daily Relative.Humidity data averaged over week</dd>


</dl>

Burdwanweather: Weekly weather data for the rice growing season in Burdwan district of West Bengal, India over 39 years

Description

Usage

Arguments

Format

Examples