Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.414
IF5.414
IF 5-year value: 5.958
IF 5-year
5.958
CiteScore value: 9.7
CiteScore
9.7
SNIP value: 1.517
SNIP1.517
IPP value: 5.61
IPP5.61
SJR value: 2.601
SJR2.601
Scimago H <br class='widget-line-break'>index value: 191
Scimago H
index
191
h5-index value: 89
h5-index89
ACP | Articles | Volume 19, issue 10
Atmos. Chem. Phys., 19, 6969–6984, 2019
https://doi.org/10.5194/acp-19-6969-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 19, 6969–6984, 2019
https://doi.org/10.5194/acp-19-6969-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 24 May 2019

Research article | 24 May 2019

On the distinctiveness of observed oceanic raindrop distributions

David Ian Duncan et al.

Related authors

Synergistic radar and radiometer retrievals of ice hydrometeors
Simon Pfreundschuh, Patrick Eriksson, Stefan A. Buehler, Manfred Brath, David Duncan, Richard Larsson, and Robin Ekelund
Atmos. Meas. Tech., 13, 4219–4245, https://doi.org/10.5194/amt-13-4219-2020,https://doi.org/10.5194/amt-13-4219-2020, 2020
Short summary
An experimental 2D-Var retrieval using AMSR2
David Ian Duncan, Patrick Eriksson, and Simon Pfreundschuh
Atmos. Meas. Tech., 12, 6341–6359, https://doi.org/10.5194/amt-12-6341-2019,https://doi.org/10.5194/amt-12-6341-2019, 2019
Short summary
An update on global atmospheric ice estimates from satellite observations and reanalyses
David Ian Duncan and Patrick Eriksson
Atmos. Chem. Phys., 18, 11205–11219, https://doi.org/10.5194/acp-18-11205-2018,https://doi.org/10.5194/acp-18-11205-2018, 2018
Short summary
A neural network approach to estimating a posteriori distributions of Bayesian retrieval problems
Simon Pfreundschuh, Patrick Eriksson, David Duncan, Bengt Rydberg, Nina Håkansson, and Anke Thoss
Atmos. Meas. Tech., 11, 4627–4643, https://doi.org/10.5194/amt-11-4627-2018,https://doi.org/10.5194/amt-11-4627-2018, 2018
Short summary
Towards variational retrieval of warm rain from passive microwave observations
David Ian Duncan, Christian D. Kummerow, Brenda Dolan, and Veljko Petković
Atmos. Meas. Tech., 11, 4389–4411, https://doi.org/10.5194/amt-11-4389-2018,https://doi.org/10.5194/amt-11-4389-2018, 2018
Short summary

Related subject area

Subject: Clouds and Precipitation | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Ice-supersaturated air masses in the northern mid-latitudes from regular in situ observations by passenger aircraft: vertical distribution, seasonality and tropospheric fingerprint
Andreas Petzold, Patrick Neis, Mihal Rütimann, Susanne Rohs, Florian Berkes, Herman G. J. Smit, Martina Krämer, Nicole Spelten, Peter Spichtinger, Philippe Nédélec, and Andreas Wahner
Atmos. Chem. Phys., 20, 8157–8179, https://doi.org/10.5194/acp-20-8157-2020,https://doi.org/10.5194/acp-20-8157-2020, 2020
Short summary
Ice nucleating particle concentrations of the past: Insights from a 600 year old Greenland ice core
Jann Schrod, Dominik Kleinhenz, Maria Hörhold, Tobias Erhardt, Sarah Richter, Frank Wilhelms, Hubertus Fischer, Martin Ebert, Birthe Twarloh, Damiano Della Lunga, Camilla Marie Jensen, Joachim Curtius, and Heinz G. Bingemer
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-556,https://doi.org/10.5194/acp-2020-556, 2020
Revised manuscript accepted for ACP
Short summary
Supercooled drizzle development in response to semi-coherent vertical velocity fluctuations within an orographic-layer cloud
Adam Majewski and Jeffrey R. French
Atmos. Chem. Phys., 20, 5035–5054, https://doi.org/10.5194/acp-20-5035-2020,https://doi.org/10.5194/acp-20-5035-2020, 2020
Short summary
Stratocumulus cloud clearings: statistics from satellites, reanalysis models, and airborne measurements
Hossein Dadashazar, Ewan Crosbie, Mohammad S. Majdi, Milad Panahi, Mohammad A. Moghaddam, Ali Behrangi, Michael Brunke, Xubin Zeng, Haflidi H. Jonsson, and Armin Sorooshian
Atmos. Chem. Phys., 20, 4637–4665, https://doi.org/10.5194/acp-20-4637-2020,https://doi.org/10.5194/acp-20-4637-2020, 2020
Short summary
Supercooled liquid water cloud observed, analysed, and modelled at the top of the planetary boundary layer above Dome C, Antarctica
Philippe Ricaud, Massimo Del Guasta, Eric Bazile, Niramson Azouz, Angelo Lupi, Pierre Durand, Jean-Luc Attié, Dana Veron, Vincent Guidard, and Paolo Grigioni
Atmos. Chem. Phys., 20, 4167–4191, https://doi.org/10.5194/acp-20-4167-2020,https://doi.org/10.5194/acp-20-4167-2020, 2020
Short summary

Cited articles

Atlas, D. and Ulbrich, C. W.: Path- and Area-Integrated Rainfall Measurement by Microwave Attenuation in the 1–3 cm Band, J. Appl. Meteorol., 16, 1322–1331, https://doi.org/10.1175/1520-0450(1977)016<1322:PAAIRM>2.0.CO;2, 1977. a
Berg, W., L'Ecuyer, T., and Kummerow, C.: Rainfall climate regimes: The relationship of regional TRMM rainfall biases to the environment, J. Appl. Meteorol. Clim., 45, 434–454, https://doi.org/10.1175/JAM2331.1, 2006. a
Bringi, V. N., Chandrasekar, V., Hubbert, J., Gorgucci, E., Randeu, W. L., and Schoenhuber, M.: Raindrop size distribution in different climatic regimes from disdrometer and dual-polarized radar analysis, J. Atmos. Sci., 60, 354–365, https://doi.org/10.1175/1520-0469(2003)060<0354:RSDIDC>2.0.CO;2, 2003. a, b
Buehler, S. A., Mendrok, J., Eriksson, P., Perrin, A., Larsson, R., and Lemke, O.: ARTS, the Atmospheric Radiative Transfer Simulator – version 2.2, the planetary toolbox edition, Geosci. Model Dev., 11, 1537–1556, https://doi.org/10.5194/gmd-11-1537-2018, 2018. a
Bumke, K. and Seltmann, J.: Analysis of measured drop size spectra over land and sea, ISRN Meteorol., 2012, 296575, https://doi.org/10.5402/2012/296575, 2011. a
Publications Copernicus
Download
Short summary
Raindrop size distributions have not been systematically studied over the oceans but are significant for remotely sensing, assimilating, and modeling rain. Here we investigate raindrop populations with new global in situ data, compare them against satellite estimates, and explore a new technique to classify the shapes of these distributions. The results indicate the inadequacy of a commonly assumed shape in some regions and the sizable impact of shape variability on satellite measurements.
Raindrop size distributions have not been systematically studied over the oceans but are...
Citation
Altmetrics
Final-revised paper
Preprint