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| projects:corsipp [2025/10/30 18:34] – ayush | projects:corsipp [2026/01/22 20:00] (current) – ayush |
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| * [[#abstract|Abstract]] | * [[#abstract|Abstract]] |
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| * [[#tab-2024|2024]] | * [[#tab-2024|2024]] |
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| In the second year the dataset was analyzed statistically to understand $K_{DP}$ signatures in snowfall, and the statistical analysis was complemented by in-depth case studies selected for detailed process analysis. Results of this research was published in Kötsche et al. (2025). Currently, we exploit the polarimetric variables using a novel technique to analyze the microphysical processes inside turbulent layers while avoiding the dampening effects of turbulence on radar polarimetry, a manuscript is in preparation. Additionally, the shape and degree of riming on snowfall particles are investigated using VISSS, and a comparison is made between orographically complex terrain and subpolar regions. | In the second year of CORSIPP the dataset was analyzed statistically to understand $K_{DP}$ signatures in snowfall, and the statistical analysis was complemented by in-depth case studies selected for detailed process analysis. Results of this research are published in Kötsche et al. (2025). Currently, we exploit the polarimetric variables using a novel technique to analyze the microphysical processes inside turbulent layers while avoiding the dampening effects of turbulence on radar polarimetry. Additionally, the shape and degree of riming on snowfall particles are investigated using VISSS, and a comparison is made between orographically complex terrain and subpolar regions. |
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| ===Characterizing an orographic turbulent layer and the microphysical processes within it cloud radar and in situ snowfall camera observations=== | ===Characterizing an orographic turbulent layer and the microphysical processes within it cloud radar and in situ snowfall camera observations=== |
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| We have submitted another manuscript in which we focus on characterizing an orographic turbulent layer and the microphysical processes therein for the field campaign site in the Colorado Rocky Mountains. We would like to present a small excerpt of this manuscript: In Fig. 2, statistics of the turbulent layer height (TLH) between Sep 2021 and May 2023 (whole duration of the SAIL campaign) are shown. Liquid layer base (LLB) derived from the ARM high-resolution spectral lidar and cloud base height (CBH) were included in the statistics if a turbulent layer was detected. The most interesting feature is the collocation of TLH and CBH, with its peak just below the summit height of Gothic Mountain at just over $700\,\mathrm{m}$ AGL. This suggests that the turbulent layer plays a major role in cloud formation, possibly through enhanced moisture convergence in the lee of Gothic Mountain. The LLB was mostly detected a few hundred meters above TLH; still, the collocation of the turbulent layer and liquid layer base implies that the turbulent layer aids the formation of a supercooled liquid layer. The fact that LLB is slightly above TLH may arise from the fact that we look at a mean TLH and the turbulent layer has a few hundred meters vertical extent. Liquid water drops, due to their low weight, are most likely found at the top of the turbulent layer. | We also focussed on characterizing an orographic turbulent layer and the microphysical processes therein for the field campaign site in the Colorado Rocky Mountains. In Fig. 2, statistics of the turbulent layer height (TLH) between Sep 2021 and May 2023 (whole duration of the SAIL campaign) are shown. Liquid layer base (LLB) derived from the ARM high-resolution spectral lidar and cloud base height (CBH) were included in the statistics if a turbulent layer was detected. The most interesting feature is the collocation of TLH and CBH, with its peak just below the summit height of Gothic Mountain at just over $700\,\mathrm{m}$ AGL. This suggests that the turbulent layer plays a major role in cloud formation, possibly through enhanced moisture convergence in the lee of Gothic Mountain. The LLB was mostly detected a few hundred meters above TLH; still, the collocation of the turbulent layer and liquid layer base implies that the turbulent layer aids the formation of a supercooled liquid layer. The fact that LLB is slightly above TLH may arise from the fact that we look at a mean TLH and the turbulent layer has a few hundred meters vertical extent. Liquid water drops, due to their low weight, are most likely found at the top of the turbulent layer. |
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| <WRAP tablewidth 60% center>**Figure 1**: Eddy dissipation rate with height, processed by Teresa Vogl from KAZR MDV (Vogl et al., 2022)</WRAP> \\ | <WRAP tablewidth 60% center>**Figure 1**: Eddy dissipation rate with height, processed by Teresa Vogl from KAZR MDV (Vogl et al., 2022)</WRAP> \\ |
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| <WRAP tablewidth 60% center>**Figure 2**: Scatterplot of LIMRAD94 KDP vs. VISSS number concentration for DJF 2022/23. The y-scale is logarithmic. LIMRAD94 KDP was spatially averaged between 100 and 500 m above ground and temporally averaged to fit the VISSS time resolution of one minute. Colors show the mass weighted mean diameter (D32) as described in Maahn et al., (2024a). A total of 11164 data points (i.e. 11164 minutes) was used for the plot.</WRAP> \\ | <WRAP tablewidth 60% center>**Figure 2**: Scatterplot of LIMRAD94 KDP vs. VISSS number concentration for DJF 2022/23. The y-scale is logarithmic. LIMRAD94 KDP was spatially averaged between 100 and 500 m above ground and temporally averaged to fit the VISSS time resolution of one minute. Colors show the mass weighted mean diameter (D32) as described in Maahn et al., (2024a). A total of 11164 data points (i.e. 11164 minutes) was used for the plot.</WRAP> \\ |
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| <WRAP tablewidth 60% center>**Figure 3**: Distribution of particle shapes at Gothic in winter 2022/2023 (December, January, and February). | <WRAP tablewidth 60% center>**Figure 3**: Distribution of particle shapes at Gothic in winter 2022/2023 (December, January, and February). |
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| <WRAP tablewidth 60% center>**Figure 4**: Frequency of degree of riming.</WRAP> \\ | <WRAP tablewidth 60% center>**Figure 4**: Frequency of degree of riming.</WRAP> \\ |