2021:

Bulatovic, I., A. L. Igel, C. Leck, J. Heintzenberg, I. Riipinen, and A. M. L. Ekman, 2021: The Importance of Aitken Mode Aerosol Particles for Cloud Sustenance in the Summertime High Arctic: A Simulation Study Supported by Observational Data. Atmos. Chem. Phys. [Link]

2020:

Park, J. M., S. C. van den Heever, A. L. Igel, L. D. Grant, J. S. Johnson, S. M Saleeby, S. D. Miller, J. S. Reid, 2020: Environmental Controls on Tropical Sea Breeze Convection and Resulting Aerosol Redistribution. J. Geophys. Res., 125, e2019JD031699. [Link]

2019:

Igel, A. L., 2019: Using an Arbitrary Moment Predictor to Investigate the Optimal Choice of Prognostic Moments in Bulk Cloud Microphysics Schemes. J. Adv. Model. Earth Sys., 11, 4559-4575. [Link]

Paper Highlight

I developed a bulk microphysics scheme from a bin microphysics scheme called the Arbitrary Moment Predictor (AMP). AMP is unique in that it can predict any set of two or three distribution moments. It is also unique in that simulations with AMP can be directly compared to simulations with the bin scheme upon which it is built for a truly apples-to-apples comparison of the two scheme types. In this study I find that AMP compares most favorably to a bin scheme for a different set of predicted moments for cloud droplet condensation, evaporation, and collision-coalescence. On average, predicting the 3rd and 4th moments minimizes the error for a double-moment AMP configuration. This is in contrast to a typical bulk scheme configuration that predicts the 0th and 3rd moments.

Falk, N. M., A. L. Igel, and M. R. Igel, 2019: The Relative Impact of Ice Fall Speeds and Microphysics Parameterization Complexity on Supercell Evolution. Monthly Weather Review, 147, 2403-2415. [Link]

Freeman, S. W., A. L. Igel, and S. C. van den Heever, 2019: Relative Sensitivities of Simulated Rainfall to Fixed Shape Parameters and Collection Efficiencies. Q. J. R. M. S., 145, 2181-2201. [Link]

Nelson, E. N., T. S. L’Ecuyer, A. L. Igel, and S. C. van den Heever, 2019: An Interactive Online Educational Applet for Multiple Frequencies of Radar Observations. BAMS., 101, 747-751. [Link]

Applet Information

This paper describes an online applet for understanding radar observations. The applet itself can be found here.

2018:

Igel, M. R. and A. L. Igel, 2018: The Energetics and Magnitude of Hydrometeor Friction in Clouds. J. Atmos. Sci., 74, 1343-1350. [Link]

Paper Highlight

As raindrops and other hydrometeors fall, they produce a small amount of friction with the air. That friction is dissipated to heat. In this paper, we describe how much heat is produced by falling raindrops in clouds and how that heat affects the properties of rain-producing clouds. Maximum heating occurs in the cores of deep convective clouds at about ~10K/hr. We also show that the atmosphere recovers nearly 100% of the energy it expends to loft hydrometeors and water vapor through this frictional heating.

Igel, A. L., S. C. van den Heever, and J. S. Johnson, 2018: Meteorological and Land Surface Properties Impacting Sea Breeze Extent and Aerosol Distribution in a Dry Environment. J. Geophys. Res. 123, 22-37. [Link]

Paper Highlight

Sea breeze properties are known to be sensitive to many different meteorological and land surface properties, but previous studies have only been able to assess the importance of one to three of these factors at a time. In this study, we assess simultaneously the relative importance of eleven environmental properties for sea breeze properties and aerosol redistribution using a combination of models simulations and statistical emulation of the model output. The figures (Figs. 5 and 9 in the paper) show that wind speed and the sea-air temperature difference, perhaps unsurprisingly, are important for controlling these properties. Other important factors, such as the soil moisture content, are more unexpected. The results of the study highlight future avenues of research and identify ways in which models could be improved for better forecasts of sea breezes and air quality.

2017:

Igel, A. L., A. M. L. Ekman, C. Leck, M. Tjernström, J. Savre, and J. Sedlar, 2017: The Free Troposphere as a Potential Source of Arctic Boundary Layer Aerosol Particles. Geophys. Res. Lett., 44, 7053-7060. [Link]

Paper Highlight

Sources of aerosol particles are scarce in the Arctic. Here we show that the free troposphere may be an underappreciated source of particles. Observations from the ASCOS campaign show that high concentrations of particles may often be in contact with the boundary layer top (left). Model simulations show that when present, these particles can easily be entrained into the Arctic boundary layer. This transport is aided by clouds that may be present. A unique aspect of Arctic stratocumulus clouds is that they often extend above the boundary layer top. Aerosol particles then may be activated to cloud droplets above the boundary layer top, transported by cloud motions to cloud base, sediment out of the cloud and be regenerated when the drops evaporate below cloud base. The simulations systematically varied the boundary layer aerosol concentration (AER) and above boundary layer aerosol concentration gradient (GR).

Igel, A. L. and S. C. van den Heever, 2017: The Role of the Gamma Function Shape Parameter in Determining Differences between Condensation Rates in Bin and Bulk Microphysics Schemes. Atmos. Chem. Phys. 17, 4599-4609. [Link]

Paper Highlight
Portion of Fig. 5

A portion of Fig. 5. A comparison of condensation (left column) and evaporation (right column) rates from bin and bulk schemes. Each colored line represents a distribution of the log(rate ratios) for a different pair of simulations. Raw comparisons are shown in the top row. It can be seen that the two schemes often do not agree. When differences in rates due to distribution shape are accounted for, the agreement becomes markedly better (bottom row). This result points to a need for better assumptions regarding the assumed PDF shape in bulk microphysics schemes.

Igel, A. L. and S. C. van den Heever, 2017: The Importance of the Shape of Cloud Droplet Size Distributions in Shallow Cumulus Clouds. Part I: Bin Microphysics Simulations. J. Atmos. Sci. 74, 249-258. [Link]

Paper Highlight

Some bulk microphysics schemes use the cloud droplet number concentration to diagnose the shape parameter of the gamma PDF (dashed lines). The relationship between these two quantities is not unique, and more research needs to be done in order to better diagnose the shape parameter. This paper suggests that diagnosing this parameter based on both the droplet concentration and the aerosol concentration would lead to improvements. Figure 7a from the paper is shown above. Different colors show results from simulations with different aerosol concentration.

Igel, A. L. and S. C. van den Heever, 2017: The Importance of the Shape of Cloud Droplet Size Distributions in Shallow Cumulus Clouds. Part II: Bulk Microphysics Simulations. J. Atmos. Sci. 74, 259-273. [Link]

Paper Highlight

Uncertainty about the cloud droplet shape parameter can have big impacts on the properties of simulated clouds. Figure 2 from the paper (above) shows that the cloud fraction is impacted more by the choice of shape parameter than by the aerosol concentration in simulations of shallow cumulus clouds. The top row shows liquid water path, and the bottom row shows vertically integrated droplet concentration. Focus though on the percentage of the domain covered in colors to see the change in cloud fraction.

2016 and Earlier:

Igel, A. L., M. R. Igel, and S. C. van den Heever, 2015: Make it a double? Sobering results from single- and double-moment microphysics simulations. J. Atmos. Sci. 72, 910-925. [Link]

Paper Highlight
sobering_fig

There are many papers in the published literature that demonstrate that double-moment microphysics schemes produce more accurate simulations than single-moment schemes. This paper summarizes those results and systematically argues for the use of double-moment schemes. These figures demonstrate that there is a wide variability in hydrometeor properties that cannot be captured by single-moment schemes. In our work we found was that the single-moment scheme under-predicted the low-level cloud fraction substantially in radiative-convective equilibrium simulations.

Igel, A. L., S. C. van den Heever, 2014: The role of latent heating in warm frontogenesis. Q. J. Roy. Meteor. Soc. 140, 139-150. [Link]

Paper Highlight
Panels from Figures 8, 11, and 12 showing the role of latent heating in frontogenesis, frontal stability, and the frontal slope. The values in the first two panels are combined mathematically to arrive at the values in the third panel. The results indicate that one impact of latent heating is to weaken the warm front in the sense that the slope is reduced and thus weaker vertical velocities may be expected.

Panels from Figures 8, 11, and 12 showing the role of latent heating in frontogenesis, frontal stability, and the frontal slope. The values in the first two panels are combined mathematically to arrive at the values in the third panel. The results indicate that one impact of latent heating is to weaken the warm front in the sense that the slope is reduced and thus weaker vertical velocities may be expected.

Igel, A. L., S. C. van den Heever, C. M. Naud, S. M. Saleeby, and D. J. Posselt, 2013: Sensitivity of warm frontal processes to cloud-nucleating aerosol concentrations. J. Atmos. Sci. 70, 1768-1783. [Link]

Paper Highlight
Fig. 13. Summary schematic showing the changes to the microphysical properties of the mixed-phase portion of the warm-frontal cloud and the total precipitation. Vapor deposition onto pristine ice, snow and aggregates (PSA) increases (as indicated by the change in arrow thickness) while riming of the mixed-phase species (GH) decreases. These two trends in the growth of ice mass cancel one another resulting in little change in the total ice mass and little change in rain production through melting. Differences in size and number of hydrometeors between the clean and polluted scenarios indicate qualitative changes.

Fig. 13. Summary schematic showing the changes to the microphysical properties of the mixed-phase portion of the warm-frontal cloud and the total precipitation. Vapor deposition onto pristine ice, snow and aggregates (PSA) increases (as indicated by the change in arrow thickness) while riming of the mixed-phase species (GH) decreases. These two trends in the growth of ice mass cancel one another resulting in little change in the total ice mass and little change in rain production through melting. Differences in size and number of hydrometeors between the clean and polluted scenarios indicate qualitative changes.

Meskhidze, N., L. A. Remer, S. Platnick, R. N. Juarez, A. M. Lichtenberger, and A.R. Aiyyer (2009), Exploring the differences in cloud properties observed by the Terra and Aqua MODIS Sensors, Atmos. Chem. Phys., 9, 3461-3475. [Link]