Single-column model and large eddy simulation of the evening transition in the planetary boundary layer

Cuchiara, G. C.; Rappenglück, Bernhard

doi:10.1007/s10652-017-9518-z

Cited by 3 publications

(1 citation statement)

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“…Solar radiation is based on 4 March for spring, 1 July for summer, 12 October for autumn, and 22 January for winter, while the atmospheric conditions on these days are closest to the averaged atmospheric state in these seasons. Because the full dynamic evolution of the synoptic conditions cannot be represented in the SCM simulation, one common strategy is to specify the geostrophic wind (Cuchiara & Rappenglück, ). Hence, geostrophic winds are calculated using the National Centers for Environmental Prediction Final (FNL) Analysis data.…”

Section: Sensitivity Experiments With a Scmmentioning

confidence: 99%

Does Soil Moisture Have an Influence on Near‐Surface Temperature?

Liu

2019

JGR Atmospheres

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The relationship between soil moisture (SM) and temperature at 2‐m height (T2) is examined with long‐term meteorological and soil observations and a single‐column model. With the information flow (IF) and correlation analysis methods, results show that the distribution of SM depends on land use and land cover, while an increase in vegetation fraction corresponds to an increase in SM, and this dependence decreases with soil depth. There is causality between T2 and SM at all soil levels. Compared with those in deeper soil, higher IF values and correlations appear in the top soil levels, implying a stronger interaction between the top soil layer and the atmosphere. Meanwhile, most correlation coefficient values rank weak or moderate, and negative feedback is predominant with low IF values, indicating that the causality between them is relatively weak and also proving that SM is not the sole factor that influences changes of near‐surface temperature. The single‐column model demonstrates that an increase (decrease) in SM will result in cooler (warmer) T2 through the redistribution of surface heat flux, while changes in SM in the top soil layers have a stronger influence on T2 compared to those in deep soil layers. The duration of the atmospheric temperature inversion layer is also prolonged (reduced) with an increase (decrease) in SM. Impacts of SM on T2 vary with land use or vegetation fraction and also are more significant in warm months and the daytime than in cold months and nighttime. Moreover, large‐scale and local circulations have steady influences on T2 in different weather conditions.

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Section: Sensitivity Experiments With a Scmmentioning

confidence: 99%