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researcher

S. Rao

5 papers hereh-index 357.5k citations108 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • physics.ao-ph4
  • physics.soc-ph1
same name
  • S. Rao — 43 papers, h 26
  • S. Rao — 18 papers, h 12
  • S. Rao — 16 papers, h 12
  • S. Rao — 13 papers, h 16
  • S. Rao — 12 papers, h 7
  • S. Rao — 11 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222024
most citedShort-range forecasts of global precipitation using deep learning-augmented numerical weather prediction

9 citations · 20 across the 5 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

physics.soc-ph2023

NDUI+: A fused DMSP-VIIRS based global normalized difference urban index dataset

Manmeet Singh, Subhasis Ghosh, Harsh Kamath +9

Urbanization is advancing rapidly, covering less than 2% of Earth's surface yet profoundly influencing global environments and experiencing disproportionate impacts from extreme we…

physics.ao-ph2023★ 3 cited

Role of modified cloud microphysics parameterization in coupled climate model for studying ISM rainfall: small-scale cloud model and climate model work better together

Moumita Bhowmik, Anupam Hazra, Ankur Srivastava +4

An unresolved problem of present generation coupled climate models is the realistic distribution of rainfall over Indian monsoon region, which is also related to the persistent dry…

physics.ao-ph2023★ 6 cited

Eulerian-Lagrangian particle-based model for diffusional growth for the better parameterization of ISM clouds: A road map for improving climate model through small-scale model using observations

Moumita Bhowmik, Anupam Hazra, Suryachandra A. Rao +1

The quantitative prediction of the intensity of rainfall events (light or heavy) has remained a challenge in Numerical Weather Prediction (NWP) models. For the first time the mean…

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