Atmospheric circulation over western Siberia in 1976–2004

Gorbatenko, V. P.; Ippolitov, I. I.; Podnebesnykh, N. V.

doi:10.3103/s1068373907050020

Cited by 13 publications

(3 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The climate modeling results in [8] demonstrate that, over Siberia, the direct and indirect effects of smoke aerosols are as high as +1 W/m 2 and −3 to −5 W/m 2 , respectively. However, it should be noted that, during the fire season in Siberia, smoke aerosols mainly interact with convective clouds associated with extratropical cyclones [9]. It is very challenging, if not impossible, for climate models to properly simulate the dynamics and thermodynamic characteristics of cyclones, because of the hydrostatic assumption and the relatively large grid spacing.…”

Section: Introductionmentioning

confidence: 99%

The Impacts of Smoke Emitted from Boreal Forest Wildfires on the High Latitude Radiative Energy Budget—A Case Study of the 2002 Yakutsk Wildfires

Sokolik

2018

Atmosphere

View full text Add to dashboard Cite

We examine the 2002 Yakutsk wildfire event and simulate the impacts of smoke aerosols on local radiative energy budget, using the WRF-Chem-SMOKE model. When comparing satellite retrievals (the Surface Radiation Budget (SRB) dataset) with model simulations, we found that the agreement is generally good, except for the regions where the model predicts too few clouds or SRB misclassifies strong smoke plumes as clouds. We also found that the smoke-induced changes in upward shortwave fluxes at top of atmosphere (TOA) vary under different burning and meteorological conditions. In the first period of the fire season (9–12 August), smoke particles cause a warming effect around 3 W/m2, mainly through functioning as ice nuclei, which deplete the cloud water amount in the frontal system. At the beginning of the second period of the fire season (19–20 August), large amounts of pre-existing smoke particles cause a strong cooling effect of −8 W/m2. This is offset by the warming effect caused by relatively small amounts of cloud condensation nuclei increases, which promotes the rain formation and depletes the cloud water amount. After the cloud decks are well mixed with smoke plumes (21–22 August), the first indirect and direct effects of smoke together lead to a cooling of −10 W/m2. These results highlight the importance of meso-scale modeling efforts in estimating the smoke-induced changes in the radiative energy budget over high latitudes.

show abstract

Section: Introductionmentioning

confidence: 99%

The Impacts of Smoke Emitted from Boreal Forest Wildfires on the High Latitude Radiative Energy Budget—A Case Study of the 2002 Yakutsk Wildfires

Sokolik

2018

Atmosphere

View full text Add to dashboard Cite

show abstract

“…In Siberia, the precipitation primarily originates from frontal systems associated with cyclones. A study by Gorbatenko et al () shows that on average, the number of cyclones generated over Western Siberia is around 80–100 year −1 . The clouds associated with the cyclone‐frontal system are usually convective mixed‐phase clouds.…”

Section: Introductionmentioning

confidence: 99%

Examining the Impact of Smoke on Frontal Clouds and Precipitation During the 2002 Yakutsk Wildfires Using the WRF‐Chem‐SMOKE Model and Satellite Data

Sokolik

2017

JGR Atmospheres

View full text Add to dashboard Cite

In 2002, an enormous amount of smoke has been emitted from Yakutsk wildfires. In this study, we examine the impact of smoke on cloud properties and precipitation associated with frontal systems using the WRF‐Chem‐SMOKE model and satellite data. The smoke emissions are computed using the fire radiative power technique. Smoke particles are represented as an internal mixture of organic matter (OM), black carbon (BC), and other inorganic matter, and their microphysical and radiative effects are explicitly modeled. After examining the fire activities, we identified two fire periods (FP1 and FP2). During FP1, in the cloud deck with the high cloud droplet number concentration (CDNC), but the relatively small amount of ice nuclei (IN), the rain and snow water contents (RWC and SWC) were strongly reduced, because of suppressed collision‐coalescence and riming processes. The cloud cells acquired the longer lifetime and traveled farther downwind. During FP2, in the cloud deck with relatively high CDNC and IN, RWC was reduced; however, the large amounts of IN triggered the glaciation indirect effect and leaded to increased SWC. Due to the competing effects of CDNC and IN, changes in the cloud lifetime were small. Consequently, smoke‐induced changes in the total cloudiness cause a dipole feature. After the smoke was nearly consumed during FP1, the large‐scale dynamics of the frontal system was altered by smoke. The onset of the precipitation was delayed by 1 day. In FP2, the onset of the precipitation was not delayed but occurred at different locations, and the area‐averaged precipitation was slightly reduced (~0.5 mm/day).

show abstract

“…Результаты анализа траекторий движения центров барических образований, проведенных по данным приземных синоптических карт [1] и по данным реанализа, представлены на рис. 1.…”

unclassified

Atmospheric circulation over western Siberia in 1976–2004

Abstract: Cyclonic and anticyclonic activity over western Siberia for 1976-2004 is considered. Trajectories of motion of baric formations of various genesis and their frequency are analyzed.

Cited by 13 publications

References 1 publication

The Impacts of Smoke Emitted from Boreal Forest Wildfires on the High Latitude Radiative Energy Budget—A Case Study of the 2002 Yakutsk Wildfires

The Impacts of Smoke Emitted from Boreal Forest Wildfires on the High Latitude Radiative Energy Budget—A Case Study of the 2002 Yakutsk Wildfires

Examining the Impact of Smoke on Frontal Clouds and Precipitation During the 2002 Yakutsk Wildfires Using the WRF‐Chem‐SMOKE Model and Satellite Data

Large-Scale Atmospheric Circulation over Siberia by Data from Surface Synoptic Maps and Reanalysis

Contact Info

Product

Resources

About