Surajit Chattopadhyay

Global and Planetary Change · 2010–2013

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 10 citations into it; #4,370 of 10,225 by trust here, #9,422 by citations
• Atmospheric Science — 8 citations into it; #3,520 of 4,804 by trust here, #4,676 by citations
• Environmental Engineering — 8 citations into it; #2,492 of 5,479 by trust here, #4,892 by citations
• Electrical and Electronic Engineering — 5 citations into it; #10,244 of 16,539 by trust here, #16,053 by citations

Whom Surajit Chattopadhyay trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Philippe C. Besse
2. S. Yue
3. Jan O. Haerter
4. Georg Dorffner
5. Hervé Cardot
6. C. Piani
7. F. Zwiers
8. Bellie Sivakumar
9. Haibin Li
10. Holger R. Maier

Who trusts Surajit Chattopadhyay overall

1. Mohammad Valipour
2. Ozgur Kisi
3. Hadi Sanikhani

Papers from Surajit Chattopadhyay's perspective

Ordered by how strongly the researchers Surajit Chattopadhyay trusts endorse each paper. Same corpus, a different order for every researcher.

1. Statistical bias correction for daily precipitation in regional climate models over Europe
2. Climate Predictions with Multimodel Ensembles
3. The influence of autocorrelation on the ability to detect trend in hydrological series
4. The Power of Statistical Tests for Trend Detection
5. Autoregressive Forecasting of Some Functional Climatic Variations
6. Statistical Methods in the Atmospheric Sciences
7. On the trend, detrending, and variability of nonlinear and nonstationary time series (Proceedings of the National Academy of Sciences of the United States of America)
8. Bias correction of monthly precipitation and temperature fields from Intergovernmental Panel on Climate Change AR4 models using equidistant quantile matching
9. Computing, Artificial Intelligence and Information Technology Neural network forecasting for seasonal and trend time series
10. Climate model bias correction and the role of timescales

Their papers

• Univariate modelling of summer-monsoon rainfall time series: Comparison between ARIMA and ARNN (2010) — 92 citations
• On the bias correction of general circulation model output for Indian summer monsoon (2013) — 87 citations
• Univariate modelling of monthly maximum temperature time series over northeast India: neural network versus Yule–Walker equation based approach (2011) — 65 citations