Subbarao Pichuka
Indian Institute of Technology Kharagpur
7 Papers
8 Citations
Subbarao Pichuka is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: Downscaling & Climate model. The author has an hindex of 4, co-authored 7 publications.
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Papers
Spatio-temporal downscaling of projected precipitation in the 21st century: indication of a wetter monsoon over the Upper Mahanadi Basin, India
Subbarao Pichuka,Rajib Maity +1 more
TL;DR: In this paper, the authors assess the future trend of spatio-temporal variation of precipitation over a medium-sized river basin using the Statistical Downscaling Model (SDSM, version 4.2) for three future epochs: epoch-1 (2011-2040), epoch-2 (2041-2070) and epoch-3 (2071-2100).
25
Development of a method to identify change in the pattern of extreme streamflow events in future climate: Application on the Bhadra reservoir inflow in India
Subbarao Pichuka,Rajendra Prasad R,Rajib Maity,Rajib Maity,Harald Kunstmann,Harald Kunstmann +5 more
TL;DR: In this article, a general framework to assess the impact of climate change on the pattern of daily extreme streamflow events is proposed and demonstrated with the daily inflow to the Bhadra reservoir.
24
Benefit of time-varying downscaling model for the assessment of urban temperature rise
TL;DR: In this paper, the benefit of time-varying downscaling model over time-invariant approaches, such as Statistical Downscaling Model (SDSM) and Bias Corrected Spatial Disaggregation (BCSD) is established.
7
How far the CORDEX high-resolution data represents observed precipitation: an analysis across Indian mainland
Subbarao Pichuka,Rajib Maity +1 more
TL;DR: In this paper, the authors investigated the spatio-temporal correspondence between CORDEX data for South Asia (CORDEX-SA) and observed precipitation data to assess its reliability.
6
Time-Varying Downscaling Model (TVDM) and its Benefit to Capture Extreme Rainfall
Subbarao Pichuka,Rajib Maity +1 more
- 01 Jan 2021
TL;DR: In this article, the authors explore the benefits of time-varying downscaling model (TVDM) to preserve the characteristics of extreme rainfall in the downscaled products.