A regional climate model hindcast for Siberia: analysis of snow water equivalent

Klehmet, Katharina; Geyer, Beate; Rockel, Burkhardt

doi:10.5194/tc-7-1017-2013

Cited by 25 publications

(33 citation statements)

References 55 publications

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“…In an intercomparison of RCMs over North America, Salzmann and Mearns (2012) showed that RCMs are able to improve significantly the annual snow cycle compared to the unrealistic low values of snow water equivalent depicted by NCEP-NCAR reanalysis. Also, Klehmet et al (2013) revealed that a 50-km RCM can improve snow water equivalent estimations compared to the forcing NCEP reanalysis over Siberia.…”

Section: Introductionmentioning

confidence: 98%

Evidence of added value in North American regional climate model hindcast simulations using ever-increasing horizontal resolutions

2016

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Section: Introductionmentioning

confidence: 98%

Evidence of added value in North American regional climate model hindcast simulations using ever-increasing horizontal resolutions

2016

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“…Rockel and Geyer (2008) likewise emphasise the importance of the convection scheme when considering model setup modifications. Furthermore, Klehmet et al (2013) chose to reduce the minimal heat diffusion coefficient in their CCLM simulation over Siberia to reduce atmospheric mixing and obtain more realistic winter temperatures. Hence, a sensitivity study on the CCLM convection scheme and its tuning parameters should be performed for the study region.…”

Section: Discussionmentioning

confidence: 99%

“…Several downscaling studies for Central Asia do exist with horizontal grid spacing down to 20-30 km using different models (Gao et al 2011;Kim et al 2008;Klehmet et al 2013;Liu et al 2013;Mannig et al 2013;Maussion et al 2014;Sato et al 2007). These studies focus on future projections and/or the better representation of Asian monsoon dynamics in the RCM simulations.…”

Section: And Clemens Simmermentioning

confidence: 99%

“…Sato et al (2007) applied the RCM TERC-RAMS in Mongolia for the 1990s with a grid spacing of 30 km and found that the rainfall distribution was generally simulated well, whereas precipitation was overestimated in the Altai. The model domain of Klehmet et al (2013), who applied CCLM in Siberia with a grid spacing of 0.44°, also contains the Altai region in the southwest. In their study, CCLM is able to add spatial detail in terms of snow water equivalent (SWE), especially at mountain ranges, while there is a tendency to overestimate SWE in mountainous terrain.…”

Section: And Clemens Simmermentioning

confidence: 99%

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Dynamical downscaling with COSMO and COSMO-CLM in the Sino-Mongolian Altai region

Kurzrock¹,

Buerkert

Oyunmunkh

et al. 2016

Meteorol Atmos Phys

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For the first time, regional atmospheric simulations with spatial resolution down to 6 km have been performed in the Sino-Mongolian Altai region using the COSMO weather forecast and regional climate model. Two 5-year periods (1979-1982 and 2008-2012) have been simulated for a first evaluation of the model in this special region. The added value of a dynamical downscaling with the COSMO regional climate model CCLM towards the driving ERA-Interim reanalysis is investigated by comparison with weather station observations. In the mountainous region, the CCLM simulation much better relates to the observed monthly mean 2 m temperature and maximum monthly precipitation sums in summer than ERAInterim. In addition, the intensity distribution of sub-daily precipitation amounts becomes more realistic with increasing altitude. CCLM does, however, overestimate convection in the mountains and accordingly simulates too much precipitation. Moreover, wintertime near-surface temperature inversions are underrated in the southern nearGobi area, which leads to too high 2 m temperatures in that region. To examine the ability of the COSMO model to reproduce the vertical thermodynamic structure of the troposphere, additional simulations with the weather forecast version of COSMO were performed for July 2013 and compared to radiosonde measurements of the WATER-COPE field experiment in this region. The results indicate that the COSMO model is quite capable of qualitatively simulating a range of features of the local tropospheric stratification. Mean differences between observed and simulated dew point and temperature profiles were in the range of only to 1-2°C in the lower troposphere.

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“…Because the main glacier ablation period is in summer, the increase of the summer temperature causes an increase in the liquid precipitation but not in the solid precipitation, thus causing the glacier mass income to decrease and the glacier retreat to excelerate. 37 Mountain glaciers can modulate the river runoff and maintain a balance of the hydrological cycle. Glaciers are directly able to delay the runoff by preventing precipitation from running off.…”

Section: Discussionmentioning

confidence: 99%

Mapping changes in the glaciers of the eastern Tienshan Mountains during 1977–2013 using multitemporal remote sensing

Bao

et al. 2014

J. Appl. Remote Sens

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Abstract. Because it has similar spectral characteristics as glaciers, snow around glaciers is a complicating factor in glacier inventory from satellite images. It is rare to acquire snowless and cloud-free satellite images in perennial snow mountain regions, and, moreover, glaciers are also usually shaded by mountain shadows. Therefore, a monotemporal satellite image can hardly map an intact glacier boundary. An object-oriented image segmentation method is proposed to map glaciers and their changes with multitemporal Landsat imagery. First, a "global-local" iteration segmentation method was used to delineate the snow and ice boundaries with each single phase image. Second, the mountain shadows of multitemporal Landsat images with different sun angles were mapped by methods of terrain analyses, and some parts of the glaciers inside these shadow regions can be identified. Finally, the complete glacier boundaries were restored with multitemporal images, and then these boundaries were intersected to get the minimum glacier extents. The method was tested with multitemporal Landsat images during 1977-2013 in the eastern Tienshan Mountains of Central Asia, and the spatial patterns and temporal process of these glacier changes in the last years were also analyzed. The results showed that the proposed method performs well in mapping glaciers in rugged alpine regions. Combining multiple images in different seasons provides a more effective way of removing disturbing factors during the process of glacier extraction. The total glacier area in the eastern Tienshan Mountains has decreased to 106.83 km 2 in 2013, with a loss of 21.5% since 1977, and the rate of glacier shrinkage accelerates in recent decades. The relationship between glacier recession and river runoffs was also analyzed, and the results showed that small glaciers whose areas are about 1.1 km 2 provide less runoff than those larger glaciers with about 2.5 km 2 . © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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A regional climate model hindcast for Siberia: analysis of snow water equivalent

Cited by 25 publications

References 55 publications

Evidence of added value in North American regional climate model hindcast simulations using ever-increasing horizontal resolutions

Evidence of added value in North American regional climate model hindcast simulations using ever-increasing horizontal resolutions

Dynamical downscaling with COSMO and COSMO-CLM in the Sino-Mongolian Altai region

Mapping changes in the glaciers of the eastern Tienshan Mountains during 1977–2013 using multitemporal remote sensing

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