S. Sperati

Atmospheric Science · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Atmospheric Science — 21 citations into it
• Global and Planetary Change — 20 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom S. Sperati trusts overall

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

1. Song‐You Hong
2. Stuart Coles
3. L. Makkonen
4. Paul Roebber
5. Douglas Maraun
6. Tilmann Gneiting
7. J. Bremnes
8. Pierre Pinson
9. Samuel Kotz
10. Kyo-Sun Sunny Lim

Papers from S. Sperati's perspective

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

1. Interpretation of Rank Histograms for Verifying Ensemble Forecasts
2. A New Vector Partition of the Probability Score
3. Generalized Additive Models
4. An Introduction to Statistical Modeling of Extreme Values
5. The WRF Single-Moment 6-Class Microphysics Scheme (WSM6)
6. Decomposition of the Continuous Ranked Probability Score for Ensemble Prediction Systems
7. A comparison of a few statistical models for making quantile wind power forecasts
8. Two Extra Components in the Brier Score Decomposition
9. A Description of the Advanced Research WRF Version 3
10. Development of an Effective Double-Moment Cloud Microphysics Scheme with Prognostic Cloud Condensation Nuclei (CCN) for Weather and Climate Models

Their papers

• An analog ensemble for short-term probabilistic solar power forecast (2015) — 331 citations
• A new high‐resolution Meteorological Reanalysis Italian Dataset: MERIDA (2019) — 52 citations