Klaus D. Beheng

Global and Planetary Change · 2001–2015

A researcher in the Science corpus: 5 papers; trusts 12 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 101 citations into it; #427 of 10,225 by trust here, #1,786 by citations
• Atmospheric Science — 95 citations into it; #209 of 4,804 by trust here, #618 by citations
• Earth-Surface Processes — 29 citations into it; #127 of 722 by trust here, #138 by citations
• Ocean Engineering — 15 citations into it

Whom Klaus D. Beheng trusts overall

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

1. A. Seifert
2. Alexander Khain
3. M. Khairoutdinov
4. Mark Pinsky
5. Hugh Morrison
6. S. Saleeby
7. Daniel Rosenfeld
8. Andrei Pokrovsky
9. Barry H. Lynn
10. Bjorn Stevens

Who trusts Klaus D. Beheng overall

1. A. Seifert
2. Hugh Morrison
3. Alexander Khain
4. Jason A. Milbrandt
5. Björn Maronga
6. L. Schlemmer
7. I. Sölch
8. A. Ackerman
9. Bjorn Stevens
10. Masaki Satoh

Papers from Klaus D. Beheng's perspective

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

1. A New Cloud Physics Parameterization in a Large-Eddy Simulation Model of Marine Stratocumulus
2. A Multimoment Bulk Microphysics Parameterization. Part I: Analysis of the Role of the Spectral Shape Parameter
3. Drizzle in Stratiform Boundary Layer Clouds. Part II: Microphysical Aspects.
4. Parametrization of ice‐particle size distributions for mid‐latitude stratiform cloud
5. A two-moment cloud microphysics parameterization for mixed-phase clouds. Part 2: Maritime vs. continental deep convective storms
6. Comparison of Bulk and Bin Warm-Rain Microphysics Models Using a Kinematic Framework
7. Simulation of effects of atmospheric aerosols on deep turbulent convective clouds using a spectral microphysics mixed-phase cumulus cloud model. Part I: Model description and possible applications
8. The Cumulus Parameterization Problem: Past, Present, and Future
9. Simulations of the Atmospheric General Circulation Using a Cloud-Resolving Model as a Superparameterization of Physical Processes
10. Evaluation of Large-Eddy Simulations via Observations of Nocturnal Marine Stratocumulus

Their papers

• Representation of microphysical processes in cloud‐resolving models: Spectral (bin) microphysics versus bulk parameterization (2015) — 363 citations
• Aerosol-cloud-precipitation effects over Germany as simulated by a convective-scale numerical weather prediction model (2011) — 141 citations
• A two-moment cloud microphysics parameterization for mixed-phase clouds. Part 2: Maritime vs. continental deep convective storms (2006) — 242 citations
• A two-moment cloud microphysics parameterization for mixed-phase clouds. Part 1: Model description (2006) — 776 citations
• A double-moment parameterization for simulating autoconversion, accretion and selfcollection (2001) — 455 citations