A parametric approach to station weights

Ramaseshan, S.; Anant, R.S.

doi:10.1016/0022-1694(77)90010-5

Cited by 3 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This method divides the catchment into a series of polygons surrounding each grid and area of the polygons becomes the weight of the grid. The influence of each grid to their respective districts will be quantified and can be an optimum solution for spatial averaging of weather data (Ramaseshan and Anant, 1977). The comparison of the area weighted district wise monthly rainfall, maximum and minimum temperature of the selected CMIP-5 models (GFDL-ESM2M, MIROC5 and NorESM1-M) with IMD historical data for the period 2006-2013 has been carried out using statistical tools like root mean square error (RMSE), D-index and Pearson correlation coefficient.…”

Section: Climatic Datamentioning

confidence: 99%

Projecting future changes in water requirement of grain sorghum in India

et al. 2017

View full text Add to dashboard Cite

The spatial distribution and trend in rainfall and crop water requirement for sorghum during different time periods viz. baseline (1981-2010) and two future climate epochs (2021-2050 and 2051- 2080) over all major sorghum (kharif and rabi) growing regions of India was studied using climate change projections data from NorESM-1M model of the CMIP-5 in RCP4.5 scenario. A significant decreasing trend in kharif season rainfall is noticed during 2021-2050 over Madhya Pradesh. Majority of the kharif and rabi sorghum growing regions may receive more rainfall during 2051-2080. Increasing trend is projected for crop water requirement over majority of sorghum regions in both seasons with significant increase over the core growing area of rabi sorghum. Regions were identified where moisturestress is likely to be severe during kharif and rabi seasons.

show abstract

Section: Climatic Datamentioning

confidence: 99%