I. Zawadzki

Atmospheric Science · 2000–2014

A researcher in the Science corpus: 8 papers; trusts 3 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Atmospheric Science — 23 citations into it; #1,189 of 4,804 by trust here, #2,716 by citations
• Global and Planetary Change — 20 citations into it; #2,404 of 10,225 by trust here, #5,517 by citations
• Environmental Engineering — 7 citations into it

Whom I. Zawadzki trusts overall

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

1. A. Seed
2. Urs Germann
3. Anthony Illingworth

Who trusts I. Zawadzki overall

1. Neill Bowler
2. Q. Xiao
3. Xingjian Shi
4. A. Bellon
5. Juanzhen Sun
6. C. Pierce
7. Montserrat Fuentes

Papers from I. Zawadzki's perspective

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

1. Multiscale Statistical Properties of a High-Resolution Precipitation Forecast
2. Ensemble kalman filter assimilation of doppler radar data with a compressible nonhydrostatic model : OSS experiments
3. Assimilation of Simulated Doppler Radar Observations with an Ensemble Kalman Filter
4. Impacts of Initial Estimate and Observation Availability on Convective-Scale Data Assimilation with an Ensemble Kalman Filter
5. Additive Noise for Storm-Scale Ensemble Data Assimilation
6. Discrete Cosine Transform
7. Summary of Convective Storm Initiation and Evolution during IHOP: Observational and Modeling Perspective
8. Experiences with 0–36-h Explicit Convective Forecasts with the WRF-ARW Model
9. The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation
10. Intercomparison of Spatial Forecast Verification Methods

Their papers

• Use of NWP for Nowcasting Convective Precipitation: Recent Progress and Challenges (2014)
• McGill algorithm for precipitation nowcasting by lagrangian extrapolation (MAPLE) applied to the South Korean radar network. Part I: Sensitivity studies of the Variational Echo Tracking (VET) technique (2009) — 47 citations
• Precipitation forecast skill of numerical weather prediction models and radar nowcasts (2005) — 145 citations
• Variability of Drop Size Distributions: Noise and Noise Filtering in Disdrometric Data (2005) — 89 citations
• Scale Dependence of the Predictability of Precipitation from Continental Radar Images. Part II: Probability Forecasts (2004) — 207 citations
• An Experimental Study of Small-Scale Variability of Radar Reflectivity Using Disdrometer Observations (2004) — 65 citations
• Scale-Dependence of the Predictability of Precipitation from Continental Radar Images. Part I: Description of the Methodology (2002) — 421 citations
• Predictability of a Nested Limited-Area Model (2000) — 55 citations