scholarly journals Evaluating CloudSat ice water content retrievals using a cloud-resolving model: Sensitivities to frozen particle properties

2008 ◽  
Vol 113 ◽  
Author(s):  
Christopher P. Woods ◽  
Duane E. Waliser ◽  
Jui-Lin Li ◽  
Richard T. Austin ◽  
Graeme L. Stephens ◽  
...  
Keyword(s):  
Water Content ◽  
Particle Properties ◽  
Cloud Resolving Model ◽  
Ice Water Content ◽  
Ice Water

scholarly journals A ubiquitous ice size bias in simulations of tropical deep convection

2017 ◽  
Author(s):  
McKenna W. Stanford ◽  
Adam Varble ◽  
Ed Zipser ◽  
J. Walter Strapp ◽  
Delphine Leroy ◽  
...  
Keyword(s):  
Water Content ◽  
Deep Convection ◽  
Particle Sizes ◽  
Size Distributions ◽  
Particle Properties ◽  
Ice Water Content ◽  
High Bias ◽  
Microphysical Processes ◽  
Bin Microphysics ◽  
Ice Water

Abstract. The High Altitude Ice Crystals – High Ice Water Content (HAIC-HIWC) joint field campaign produced aircraft retrievals of total condensed water content (TWC), hydrometeor particle size distributions (PSDs), and vertical velocity (w) in high ice water content regions of mature and decaying tropical mesoscale convective systems (MCSs). The resulting dataset is used here to explore causes of the commonly documented high bias in radar reflectivity within cloud-resolving simulations of deep convection. This bias has been linked to overly strong simulated convective updrafts lofting excessive condensate mass but is also modulated by parameterizations of hydrometeor size distributions, single particle properties, species separation, and microphysical processes. Observations are compared with three Weather Research and Forecasting model simulations of an observed MCS using differing microphysics while controlling for w, TWC, and temperature. Two bulk microphysics schemes (Thompson and Morrison) and one bin microphysics scheme (Fast Spectral Bin Microphysics) are compared. For temperatures between −10 °C and −40 °C and TWC > 1 g m−3 inside updrafts, all microphysics schemes produce median mass diameters (MMDs) that are generally larger than observed, and the precipitating ice species that controls this size bias varies by scheme, temperature, and w. Despite a much greater number of samples, all simulations fail to reproduce observed high TWC conditions (> 2 g m−3) between −20 °C and −40 °C in which only a small fraction of condensate mass is found in relatively large particle sizes greater than 1 mm in diameter. Although more mass is distributed to relatively large particle sizes relative to observed across all schemes when controlling for temperature, w, and TWC, differences with observations for a given particle size vary greatly between schemes. As a result, this bias is hypothesized to partly result from errors in parameterized hydrometeor PSD and single particle properties, but because it is present in all schemes, it may also partly result from errors in parameterized microphysical processes present in all schemes. Because of these ubiquitous ice size biases, microphysical parameterizations inherently produce a high bias in convective reflectivity for a wide range of temperatures, vertical velocities, and TWCs.

scholarly journals Orographic cirrus in the future climate

2009 ◽  
Vol 9 (2) ◽  
pp. 8943-8991 ◽  
Author(s):  
H. Joos ◽  
P. Spichtinger ◽  
U. Lohmann
Keyword(s):  
Water Content ◽  
Cirrus Clouds ◽  
Future Climate ◽  
Specific Humidity ◽  
Horizontal Wind ◽  
Ice Crystal ◽  
Cloud Resolving Model ◽  
Ice Water Content ◽  
Ice Water ◽  
North And South America

Abstract. A cloud resolving model (CRM) is used to investigate the formation of orographic cirrus clouds in the current and future climate. The formation of cirrus clouds depends on a variety of dynamical and thermodynamical processes, which act on different scales. First, the capability of the CRM in realistically simulating orographic cirrus clouds has been tested by comparing the simulated results to aircraft measurements of an orographic cirrus cloud. The influence of a warmer climate on the microphysical and optical properties of cirrus clouds has been investigated by initializing the CRM with vertical profiles of horizontal wind, temperature and moisture from IPCC A1B simulations for the current climate and for the period 2090–2099 for two regions representative for North and South America. In a future climate, the increase in moisture dampens the vertical propagation of gravity waves and the occurring vertical velocities. Together with higher temperatures fewer ice crystals nucleate homogeneously. Assuming that the relative humidity does not change in a warmer climate the specific humidity in the model is increased. This increase in specific humidity in a warmer climate results in a higher ice water content. The net effect of a reduced ice crystal number concentration and a higher ice water content is an increased optical depth.

scholarly journals A ubiquitous ice size bias in simulations of tropical deep convection

2017 ◽  
Vol 17 (15) ◽  
pp. 9599-9621 ◽  
Author(s):  
McKenna W. Stanford ◽  
Adam Varble ◽  
Ed Zipser ◽  
J. Walter Strapp ◽  
Delphine Leroy ◽  
...  
Keyword(s):  
Water Content ◽  
Deep Convection ◽  
Particle Sizes ◽  
Size Distributions ◽  
Particle Properties ◽  
Ice Water Content ◽  
High Bias ◽  
Microphysical Processes ◽  
Bin Microphysics ◽  
Ice Water

Abstract. The High Altitude Ice Crystals – High Ice Water Content (HAIC-HIWC) joint field campaign produced aircraft retrievals of total condensed water content (TWC), hydrometeor particle size distributions (PSDs), and vertical velocity (w) in high ice water content regions of mature and decaying tropical mesoscale convective systems (MCSs). The resulting dataset is used here to explore causes of the commonly documented high bias in radar reflectivity within cloud-resolving simulations of deep convection. This bias has been linked to overly strong simulated convective updrafts lofting excessive condensate mass but is also modulated by parameterizations of hydrometeor size distributions, single particle properties, species separation, and microphysical processes. Observations are compared with three Weather Research and Forecasting model simulations of an observed MCS using different microphysics parameterizations while controlling for w, TWC, and temperature. Two popular bulk microphysics schemes (Thompson and Morrison) and one bin microphysics scheme (fast spectral bin microphysics) are compared. For temperatures between −10 and −40 °C and TWC  >  1 g m−3, all microphysics schemes produce median mass diameters (MMDs) that are generally larger than observed, and the precipitating ice species that controls this size bias varies by scheme, temperature, and w. Despite a much greater number of samples, all simulations fail to reproduce observed high-TWC conditions ( >  2 g m−3) between −20 and −40 °C in which only a small fraction of condensate mass is found in relatively large particle sizes greater than 1 mm in diameter. Although more mass is distributed to large particle sizes relative to those observed across all schemes when controlling for temperature, w, and TWC, differences with observations are significantly variable between the schemes tested. As a result, this bias is hypothesized to partly result from errors in parameterized hydrometeor PSD and single particle properties, but because it is present in all schemes, it may also partly result from errors in parameterized microphysical processes present in all schemes. Because of these ubiquitous ice size biases, the frequently used microphysical parameterizations evaluated in this study inherently produce a high bias in convective reflectivity for a wide range of temperatures, vertical velocities, and TWCs.

Ice water content assessment in the single-, dual-, and triple-frequency radar scenarios

2021 ◽  
Vol 254 ◽  
pp. 112242
Author(s):  
Eugenio Gorgucci ◽  
Luca Baldini ◽  
Elisa Adirosi ◽  
Mario Montopoli
Keyword(s):  
Water Content ◽  
Content Assessment ◽  
Triple Frequency ◽  
Ice Water Content ◽  
Ice Water

scholarly journals Measuring ice- and liquid-water properties in mixed-phase cloud layers at the Leipzig Cloudnet station

2016 ◽  
Vol 16 (16) ◽  
pp. 10609-10620 ◽  
Author(s):  
Johannes Bühl ◽  
Patric Seifert ◽  
Alexander Myagkov ◽  
Albert Ansmann
Keyword(s):  
Water Content ◽  
Liquid Water ◽  
Mass Flux ◽  
Mixed Phase ◽  
Cloud Base ◽  
Doppler Velocity ◽  
Special Focus ◽  
Data Set ◽  
Ice Water Content ◽  
Ice Water

Abstract. An analysis of the Cloudnet data set collected at Leipzig, Germany, with special focus on mixed-phase layered clouds is presented. We derive liquid- and ice-water content together with vertical motions of ice particles falling through cloud base. The ice mass flux is calculated by combining measurements of ice-water content and particle Doppler velocity. The efficiency of heterogeneous ice formation and its impact on cloud lifetime is estimated for different cloud-top temperatures by relating the ice mass flux and the liquid-water content at cloud top. Cloud radar measurements of polarization and Doppler velocity indicate that ice crystals formed in mixed-phase cloud layers with a geometrical thickness of less than 350 m are mostly pristine when they fall out of the cloud.

Simultaneous Ice Water Content Measurements at Multiple Locations on the NASA DC-8 Aircraft During the 2018 HIWC RADAR Flight Campaign

2021 ◽  
Author(s):  
Lyle E. Lilie ◽  
Dan Bouley ◽  
Christopher P. Sivo ◽  
John W. Strapp ◽  
Thomas P. Ratvasky
Keyword(s):  
Water Content ◽  
Ice Water Content ◽  
Ice Water
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