Matthew R. Kumjian
Atmospheric Science · 2008–2020
A researcher in the Science corpus: 8 papers; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 138 citations into it; #2,971 of 4,804 by trust here, #2,179 by citations
- Global and Planetary Change — 118 citations into it; #8,717 of 10,225 by trust here, #6,762 by citations
- Environmental Engineering — 37 citations into it; #4,829 of 5,479 by trust here, #3,944 by citations
Whom Matthew R. Kumjian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexander V. Ryzhkov
- Jerry M. Straka
- Dusan S. Zrnic
- Venkatachalam Chandrasekar
- Edward Brandes
- Guifu Zhang
- HyangSuk Park
- P. Markowski
- Jason A. Milbrandt
- Alexander Khain
Who trusts Matthew R. Kumjian overall
Papers from Matthew R. Kumjian's perspective
Ordered by how strongly the researchers Matthew R. Kumjian trusts endorse each paper. Same corpus, a different order for every researcher.
- A Multimoment Bulk Microphysics Parameterization. Part I: Analysis of the Role of the Spectral Shape Parameter
- Classification of Hydrometeors Based on Polarimetric Radar Measurements: Development of Fuzzy Logic and Neuro-Fuzzy Systems, and In Situ Verification
- Bulk Hydrometeor Classification and Quantification Using Polarimetric Radar Data: Synthesis of Relations
- Polarimetric Doppler weather radar: principles and applications
- A method for estimating rain rate and drop size distribution from polarimetric radar measurements (IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120))
- Radar and Atmospheric Science: A Collection of Essays in Honor of David Atlas
- Ensemble kalman filter assimilation of doppler radar data with a compressible nonhydrostatic model : OSS experiments
- The Hydrometeor Classification Algorithm for the Polarimetric WSR-88D: Description and Application to an MCS
- Assimilation of Simulated Doppler Radar Observations with an Ensemble Kalman Filter
- A Revised Approach to Ice Microphysical Processes for the Bulk Parameterization of Clouds and Precipitation
Their papers
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020) — 394 citations
- Understanding Hail in the Earth System (2020) — 152 citations
- The Impact of Raindrop Collisional Processes on the Polarimetric Radar Variables (2014) — 133 citations
- Principles and Applications of Dual-Polarization Weather Radar. Part I: Description of the Polarimetric Radar Variables (2013) — 284 citations
- Principles and applications of dual-polarization weather radar. Part II: Warm- and cold-season applications (2013) — 136 citations
- Polarimetric Radar Characteristics of Melting Hail. Part I: Theoretical Simulations Using Spectral Microphysical Modeling (2013) — 141 citations
- The Impact of Size Sorting on the Polarimetric Radar Variables (2012) — 157 citations
- Polarimetric Signatures in Supercell Thunderstorms (2008) — 358 citations