Surendra Rauniyar

1.1k total citations · 1 hit paper
22 papers, 691 citations indexed

About

Surendra Rauniyar is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Surendra Rauniyar has authored 22 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 18 papers in Atmospheric Science and 2 papers in Oceanography. Recurrent topics in Surendra Rauniyar's work include Climate variability and models (17 papers), Meteorological Phenomena and Simulations (14 papers) and Precipitation Measurement and Analysis (6 papers). Surendra Rauniyar is often cited by papers focused on Climate variability and models (17 papers), Meteorological Phenomena and Simulations (14 papers) and Precipitation Measurement and Analysis (6 papers). Surendra Rauniyar collaborates with scholars based in Australia, Japan and United States. Surendra Rauniyar's co-authors include Kevin Walsh, Scott B. Power, Alain Protat, Andrew Dowdy, Michael Grose, Ghyslaine Boschat, François Delage, Sugata Narsey, Harun Rashid and Tim Cowan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Climate.

In The Last Decade

Surendra Rauniyar

21 papers receiving 677 citations

Hit Papers

Insights From CMIP6 for Australia's Future Climate 2020 2026 2022 2024 2020 50 100 150 200

Peers

Surendra Rauniyar
Sugata Narsey Australia
Neil Hart United Kingdom
Roger Bodman Australia
Yumi Cha South Korea
Rodrigo J. Bombardi United States
Elinor R. Martin United States
Surendra Rauniyar
Citations per year, relative to Surendra Rauniyar Surendra Rauniyar (= 1×) peers Eveline C. van der Linden

Countries citing papers authored by Surendra Rauniyar

Since Specialization
Citations

This map shows the geographic impact of Surendra Rauniyar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Surendra Rauniyar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surendra Rauniyar more than expected).

Fields of papers citing papers by Surendra Rauniyar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Surendra Rauniyar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Surendra Rauniyar. The network helps show where Surendra Rauniyar may publish in the future.

Co-authorship network of co-authors of Surendra Rauniyar

This figure shows the co-authorship network connecting the top 25 collaborators of Surendra Rauniyar. A scholar is included among the top collaborators of Surendra Rauniyar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Surendra Rauniyar. Surendra Rauniyar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zachariah, Mariam, Chris Barnes, Joyce Kimutai, et al.. (2026). Climate change eclipses La Niña cooling in Australia to drive extreme heatwave and heightened fire risk. Spiral (Imperial College London).
2.
Hope, Pandora, Surendra Rauniyar, Roseanna C. McKay, et al.. (2024). Lessons learnt from a real-time attribution and contextualisation trial in a National Meteorological and Hydrological Service. SHILAP Revista de lepidopterología. 3(4). 45014–45014. 1 indexed citations
3.
Rauniyar, Surendra & Scott B. Power. (2023). Past and future rainfall change in sub-regions of Victoria, Australia. Climatic Change. 176(7). 5 indexed citations
4.
Rauniyar, Surendra, Pandora Hope, Scott B. Power, Michael Grose, & David Jones. (2023). The role of internal variability and external forcing on southwestern Australian rainfall: prospects for very wet or dry years. Scientific Reports. 13(1). 21578–21578. 11 indexed citations
5.
McKay, Roseanna C., Ghyslaine Boschat, Irina Rudeva, et al.. (2023). Can southern Australian rainfall decline be explained? A review of possible drivers. Wiley Interdisciplinary Reviews Climate Change. 14(2). 44 indexed citations
6.
Grose, Michael, Sugata Narsey, Ralph Trancoso, et al.. (2023). A CMIP6-based multi-model downscaling ensemble to underpin climate change services in Australia. Climate Services. 30. 100368–100368. 44 indexed citations
7.
Rauniyar, Surendra & Scott B. Power. (2022). Estimating future rainfall distributions in a changing climate for water resource planning: Victoria, Australia. Climate Dynamics. 60(1-2). 527–547. 3 indexed citations
8.
Hope, Pandora, Mei Zhao, S. Abhik, et al.. (2022). Subseasonal to Seasonal Climate Forecasts Provide the Backbone of a Near-Real-Time Event Explainer Service. Bulletin of the American Meteorological Society. 103(3). S7–S13. 9 indexed citations
9.
Hope, Pandora, et al.. (2022). Approaches to Understanding Decadal and Long-Term Shifts in Observed Precipitation Distributions in Victoria, Australia. Journal of Applied Meteorology and Climatology. 62(1). 13–29. 7 indexed citations
10.
Narsey, Sugata, Ralph Trancoso, Chloe Mackallah, et al.. (2022). A Cmip6-Based Multi-Model Downscaling Ensemble to Underpin Climate Change Services in Australia. SSRN Electronic Journal. 1 indexed citations
11.
Grose, Michael, Sugata Narsey, François Delage, et al.. (2020). Insights From CMIP6 for Australia's Future Climate. Earth s Future. 8(5). 228 indexed citations breakdown →
12.
Rauniyar, Surendra & Scott B. Power. (2020). The Impact of Anthropogenic Forcing and Natural Processes on Past, Present, and Future Rainfall over Victoria, Australia. Journal of Climate. 33(18). 8087–8106. 30 indexed citations
13.
Rauniyar, Surendra, Alain Protat, & H. Kanamori. (2017). Uncertainties in TRMM‐Era multisatellite‐based tropical rainfall estimates over the Maritime Continent. Earth and Space Science. 4(5). 275–302. 31 indexed citations
14.
Kumar, Vickal V., Alain Protat, Christian Jakob, et al.. (2016). The Estimation of Convective Mass Flux from Radar Reflectivities. Journal of Applied Meteorology and Climatology. 55(5). 1239–1257. 13 indexed citations
15.
Rauniyar, Surendra & Kevin Walsh. (2015). Spatial and temporal variations in rainfall over Darwin and its vicinity during different large-scale environments. Climate Dynamics. 46(3-4). 671–691. 9 indexed citations
16.
Nguyen, Hanh, et al.. (2015). A regional forecast model evaluation of statistical rainfall properties using the CPOL radar observations in different precipitation regimes over Darwin, Australia. Quarterly Journal of the Royal Meteorological Society. 141(691). 2337–2349. 11 indexed citations
17.
Rauniyar, Surendra & Kevin Walsh. (2012). Influence of ENSO on the Diurnal Cycle of Rainfall over the Maritime Continent and Australia. Journal of Climate. 26(4). 1304–1321. 60 indexed citations
18.
Rauniyar, Surendra & Kevin Walsh. (2010). Scale Interaction of the Diurnal Cycle of Rainfall over the Maritime Continent and Australia: Influence of the MJO. Journal of Climate. 24(2). 325–348. 126 indexed citations
19.
Yang, Kun, Mohamed Rasmy, Surendra Rauniyar, et al.. (2007). Initial CEOP-based Review of the Prediction Skill of Operational General Circulation Models and Land Surface Models. Journal of the Meteorological Society of Japan Ser II. 85A. 99–116. 31 indexed citations
20.
Rauniyar, Surendra, et al.. (2007). PREDICTION SKILL ASSESSMENT OF NWP MODELS IN SIMULATING DIURNAL CYCLE OF PRECIPITATION. PROCEEDINGS OF HYDRAULIC ENGINEERING. 51. 97–102. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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