Articles | Volume 13, issue 9
https://doi.org/10.5194/gmd-13-4229-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-4229-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
13 Sep 2020
Model description paper |
| 13 Sep 2020
| 13 Sep 2020
PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Maximilian Maahn
Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
Physical Sciences Lab, NOAA Earth System Research Laboratory, Boulder, CO, USA
now at: Leipzig Institute for Meteorology, Leipzig University, Leipzig, Germany
Stefan Kneifel
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Davide Ori
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Emiliano Orlandi
Radiometer-Physics GmbH, Meckenheim, Germany
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Pavlos Kollias
School of Marine and Atmospheric Sciences, Stony Brook University, NY, USA
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Vera Schemann
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Susanne Crewell
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
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- Evaluating seasonal and regional distribution of snowfall in regional climate model simulations in the Arctic A. von Lerber et al. 10.5194/acp-22-7287-2022
- Potential of Dual-Frequency Radar and Microwave Radiometer Synergy for Water Vapor Profiling in the Cloudy Trade Wind Environment S. Schnitt et al. 10.1175/JTECH-D-19-0110.1
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- Case study of a moisture intrusion over the Arctic with the ICOsahedral Non-hydrostatic (ICON) model: resolution dependence of its representation H. Bresson et al. 10.5194/acp-22-173-2022
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- Angular-Dependent Polarized Characteristics of Surface Emissivity at 150 GHz Over Saharan and Taklimakan Deserts X. Xie et al. 10.1109/TGRS.2022.3195206
- Evaluating Large‐Domain, Hecto‐Meter, Large‐Eddy Simulations of Trade‐Wind Clouds Using EUREC4A Data H. Schulz & B. Stevens 10.1029/2023MS003648
- Radar and ground-level measurements of precipitation collected by the École Polytechnique Fédérale de Lausanne during the International Collaborative Experiments for PyeongChang 2018 Olympic and Paralympic winter games J. Gehring et al. 10.5194/essd-13-417-2021
- A riming‐dependent parameterization of scattering by snowflakes using the self‐similar Rayleigh–Gans approximation N. Maherndl et al. 10.1002/qj.4573
- snowScatt 1.0: consistent model of microphysical and scattering properties of rimed and unrimed snowflakes based on the self-similar Rayleigh–Gans approximation D. Ori et al. 10.5194/gmd-14-1511-2021
- Introducing the Video In Situ Snowfall Sensor (VISSS) M. Maahn et al. 10.5194/amt-17-899-2024
- Bulk hydrometeor optical properties for microwave and sub-millimetre radiative transfer in RTTOV-SCATT v13.0 A. Geer et al. 10.5194/gmd-14-7497-2021
- Improved Microwave Ocean Emissivity and Reflectivity Models Derived from Two-Scale Roughness Theory L. He & F. Weng 10.1007/s00376-023-2247-y
- PyRTlib: an educational Python-based library for non-scattering atmospheric microwave radiative transfer computations S. Larosa et al. 10.5194/gmd-17-2053-2024
- MOSAiC drift expedition from October 2019 to July 2020: sea ice conditions from space and comparison with previous years T. Krumpen et al. 10.5194/tc-15-3897-2021
- Ground- and ship-based microwave radiometer measurements during EUREC4A S. Schnitt et al. 10.5194/essd-16-681-2024
- Multilayer cloud conditions in trade wind shallow cumulus – confronting two ICON model derivatives with airborne observations M. Jacob et al. 10.5194/gmd-13-5757-2020
- Microphysical and thermodynamic phase analyses of Arctic low-level clouds measured above the sea ice and the open ocean in spring and summer M. Moser et al. 10.5194/acp-23-7257-2023
- Evaluation of ECMWF Radiation Scheme Using Aircraft Observations of Spectral Irradiance above Clouds K. Wolf et al. 10.1175/JAS-D-19-0333.1
- Ice microphysical processes in the dendritic growth layer: a statistical analysis combining multi-frequency and polarimetric Doppler cloud radar observations L. von Terzi et al. 10.5194/acp-22-11795-2022
- Quantifying riming from airborne data during the HALO-(AC)3 campaign N. Maherndl et al. 10.5194/amt-17-1475-2024
- Employing airborne radiation and cloud microphysics observations to improve cloud representation in ICON at kilometer-scale resolution in the Arctic J. Kretzschmar et al. 10.5194/acp-20-13145-2020
- Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach A. Billault-Roux et al. 10.5194/amt-16-911-2023
- The Earth Model Column Collaboratory (EMC<sup>2</sup>) v1.1: an open-source ground-based lidar and radar instrument simulator and subcolumn generator for large-scale models I. Silber et al. 10.5194/gmd-15-901-2022
Latest update: 24 Apr 2024
Short summary
The Passive and Active Microwave TRAnsfer tool (PAMTRA) is a public domain software package written in Python and Fortran for the simulation of microwave remote sensing observations. PAMTRA models the interaction of radiation with gases, clouds, precipitation, and the surface using either in situ observations or model output as input parameters. The wide range of applications is demonstrated for passive (radiometer) and active (radar) instruments on ground, airborne, and satellite platforms.
The Passive and Active Microwave TRAnsfer tool (PAMTRA) is a public domain software package...
