James A. Smith
Atmospheric Science · with Villarini · 2002–2018
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 13 citations into it
- Global and Planetary Change — 9 citations into it; #3,597 of 10,225 by trust here, #7,219 by citations
Whom James A. Smith trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts James A. Smith overall
Papers from James A. Smith's perspective
Ordered by how strongly the researchers James A. Smith trusts endorse each paper. Same corpus, a different order for every researcher.
- The Concept of “Normalized” Distribution to Describe Raindrop Spectra: A Tool for Cloud Physics and Cloud Remote Sensing
- Cloud Microphysical Properties, Processes, and Rainfall Estimation Opportunities
- Raindrop size distributions and radar reflectivity–rain rate relationships for radar hydrology
- The Need to Represent Raindrop Size Spectra as Normalized Gamma Distributions for the Interpretation of Polarization Radar Observations
- Conditional Bias in Radar Rainfall Estimation.
- Historical information in a generalized Maximum Likelihood Framework with partial duration and annual maximum series
- Regional estimation of rainfall intensity‐duration‐frequency curves using generalized least squares regression of partial duration series statistics
- Bayesian MCMC flood frequency analysis with historical information
- Linear Models, Least Squares and Alternatives (Technometrics)
- Bayesian Statistical Modelling (Technometrics)
Their papers
- Urbanization exacerbated the rainfall and flooding caused by hurricane Harvey in Houston (2018) — 597 citations
- Estimation of radar-rainfall error spatial correlation (2009) — 70 citations
- A Microphysical Interpretation of Radar Reflectivity–Rain Rate Relationships (2004) — 156 citations
- Stochastic modeling of flood peaks using the generalized extreme value distribution (2002) — 157 citations