Rodrigo Manzanas

Global and Planetary Change · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 24 citations into it
• Atmospheric Science — 22 citations into it

Whom Rodrigo Manzanas trusts overall

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

1. Gerd Burger
2. Quanxi Shao
3. Antje Weisheimer
4. Ming Li
5. Eric R. Ziegel

Papers from Rodrigo Manzanas's perspective

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

1. Generalized Linear Models
2. Deterministic nonperiodic flow
3. ENSEMBLES: A new multi‐model ensemble for seasonal‐to‐annual predictions—Skill and progress beyond DEMETER in forecasting tropical Pacific SSTs
4. An improved statistical analogue downscaling procedure for seasonal precipitation forecast (Stochastic environmental research and risk assessment (Print))
5. CORRESPONDENCE Comment on ''Bias Correction, Quantile Mapping, and Downscaling: Revisiting the Inflation Issue''
6. Dying for knowledge (Canadian Medical Association Journal)
7. The Potential to Narrow Uncertainty in Regional Climate Predictions
8. Statistical downscaling of general circulation model output: A comparison of methods
9. Improving the global precipitation record: GPCP Version 2.1
10. Climate Change 2013: The Physical Science Basis

Their papers

• An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets (2020) — 556 citations
• Can bias correction and statistical downscaling methods improve the skill of seasonal precipitation forecasts? (2018) — 70 citations
• An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross‐validation experiment (2016) — 256 citations