Sharanya J. Majumdar
Atmospheric Science · 2001–2016
A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 10 citations into it; #3,050 of 4,804 by trust here, #3,694 by citations
- Global and Planetary Change — 10 citations into it; #6,263 of 10,225 by trust here, #8,219 by citations
- Environmental Engineering — 5 citations into it
Whom Sharanya J. Majumdar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James Goerss
- Mozheng Wei
- Neill Bowler
- Mark DeMaria
- Z. Toth
- Roberto Buizza
- Alberto Arribas
- J. Knaff
- R. Wobus
Who trusts Sharanya J. Majumdar overall
Papers from Sharanya J. Majumdar's perspective
Ordered by how strongly the researchers Sharanya J. Majumdar trusts endorse each paper. Same corpus, a different order for every researcher.
- Tropical Cyclone Track Forecasts Using an Ensemble of Dynamical Models
- Tropical singular vectors computed with linearized diabatic physics
- Multimodel Ensemble Forecasts for Weather and Seasonal Climate
- Initial perturbations based on the ensemble transform (ET) technique in the NCEP global operational forecast system
- Mesoscale convective systems
- Wind speed measurement using forward scattered GPS signals (IEEE Transactions on Geoscience and Remote Sensing)
- First spaceborne observation of an Earth‐reflected GPS signal
- Scattering of GPS signals from the ocean with wind remote sensing application (IEEE Transactions on Geoscience and Remote Sensing)
- Prediction of Consensus Tropical Cyclone Track Forecast Error
- A New Method for Estimating Tropical Cyclone Wind Speed Probabilities
Their papers
- New Ocean Winds Satellite Mission to Probe Hurricanes and Tropical Convection (2016) — 365 citations
- On the Ability of Global Ensemble Prediction Systems to Predict Tropical Cyclone Track Probabilities (2010) — 76 citations
- Quantifying Uncertainties in Ocean Predictions (2006) — 148 citations
- Can an ensemble transform Kalman filter predict the reduction in forecast‐error variance produced by targeted observations? (2001) — 65 citations