A Snow Distribution Model Based on Snowfall and Snow Drifting Simulations in Mountain Area

Li, Guang; Wang, Zhengshi; Huang, Ning

doi:10.1029/2018jd028434

Cited by 31 publications

(20 citation statements)

References 45 publications

(74 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this case, the presence of swamp meadow is typically indicative of colder ground and a higher likelihood of permafrost, regardless of the PZI value. While snow is minimal in most parts of the QTP, the snow redistribution phenomenon is significant due to blowing snow . In snowdrift areas, this may negate the snow cooling effect mentioned above, and may even cause snow to act as a strong insulator and warm the ground .…”

Section: Discussionmentioning

confidence: 99%

“…While snow is minimal in most parts of the QTP, the snow redistribution phenomenon is significant due to blowing snow. 50 In snowdrift areas, this may negate the snow cooling effect mentioned above, and may even cause snow to act as a strong insulator and warm the ground. 34 A sub-grid interpretation scheme based on expert assessments can therefore be important and useful to further improve the prediction of the PZI QTP map presented here.…”

Section: Figure 10mentioning

confidence: 99%

See 1 more Smart Citation

Permafrost zonation index map and statistics over the Qinghai–Tibet Plateau based on field evidence

Cao

Zhang

et al. 2019

Permafrost & Periglacial

View full text Add to dashboard Cite

Permafrost is prevalent over the Qinghai–Tibet Plateau (QTP), but mapping its distribution is challenging due to the limited availability of ground‐truth data sets and strong spatial heterogeneity in the region. Based on a recently developed inventory of permafrost presence or absence from 1475 in situ observations, we developed and trained a statistical model and used it to compile a high‐resolution (30 arc‐seconds) permafrost zonation index (PZI) map. The PZI model captures the high spatial variability of permafrost distribution over the QTP because it considers multiple controlling variables, including near‐surface air temperature downscaled from re‐analysis, snow cover days and vegetation cover derived from remote sensing. Our results showed the new PZI map achieved the best performance compared to available existing PZI and traditional categorical maps. Based on more than 1000 in situ measurements, the Cohen's kappa coefficient and overall classification accuracy were 0.62 and 82.5%, respectively. Excluding glaciers and lakes, the area of permafrost regions over the QTP is approximately 1.54 (1.35–1.66) ×106 km2, or 60.7 (54.5–65.2)% of the exposed land, while area underlain by permafrost is about 1.17 (0.95–1.35) ×106 km2, or 46 (37.3–53.0)%.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Figure 10mentioning

confidence: 99%

Permafrost zonation index map and statistics over the Qinghai–Tibet Plateau based on field evidence

Cao

Zhang

et al. 2019

Permafrost & Periglacial

View full text Add to dashboard Cite

show abstract

“…To illustrate the ecosystems in the study area, nine typical landscapes are presented as listed in Table 1. may lead to the redistribution of snowpack in high-elevation regions (Essery et al, 1999;Li et al, 2014).…”

Section: Site Descriptionsmentioning

confidence: 99%

Integrated hydrometeorological, snow and frozen-ground observations in the alpine region of the Heihe River Basin, China

Che

Liu

et al. 2019

Earth Syst. Sci. Data

View full text Add to dashboard Cite

Abstract. The alpine region is important in riverine and watershed ecosystems as a contributor of freshwater, providing and stimulating specific habitats for biodiversity. In parallel, recent climate change, human activities and other perturbations may disturb hydrological processes and eco-functions, creating the need for next-generation observational and modeling approaches to advance a predictive understanding of such processes in the alpine region. However, several formidable challenges, including the cold and harsh climate, high altitude and complex topography, inhibit complete and consistent data collection where and when it is needed, which hinders the development of remote-sensing technologies and alpine hydrological models. The current study presents a suite of datasets consisting of long-term hydrometeorological, snow cover and frozen-ground data for investigating watershed science and functions from an integrated, distributed and multiscale observation network in the upper reaches of the Heihe River Basin (HRB) in China. Meteorological and hydrological data were monitored from an observation network connecting a group of automatic meteorological stations (AMSs). In addition, to capture snow accumulation and ablation processes, snow cover properties were collected from a snow observation superstation using state-of-the-art techniques and instruments. High-resolution soil physics datasets were also obtained to capture the freeze–thaw processes from a frozen-ground observation superstation. The updated datasets were released to scientists with multidisciplinary backgrounds (i.e., cryospheric science, hydrology and meteorology), and they are expected to serve as a testing platform to provide accurate forcing data and validate and evaluate remote-sensing products and hydrological models for a broader community. The datasets are available from the Cold and Arid Regions Science Data Center at Lanzhou (https://doi.org/10.3972/hiwater.001.2019.db, Li, 2019).

show abstract

“…Blowing (drifting) snow is commonly observed in the Qilian mountain due to its high altitude and complex terrain. It is important to estimate the occurrence of blowing snow because it may cause redistributions of the snow cover and influence the sublimation of snow (Li et al, 2018a). FlowCapt (IAV, Switzerland) was used to measure the number of blowing snow grains at 3 heights (0-1 m, 1-2 m, and 2-3 m) every 10 mins.…”

Section: Blowing (Drifting) Snowmentioning

confidence: 99%

Integrated hydrometeorological – snow – frozen ground observations in the alpine region of the Heihe River Basin, China

Che¹,

Li²,

Liu³

et al. 2019

Preprint

View full text Add to dashboard Cite

Abstract. The alpine region is important in riverine and watershed ecosystems as a contributor of freshwater, providing and stimulating specific habitats for biodiversity. In parallel, recent climate change, human activities and other perturbations may disturb hydrological processes and eco-functions, creating the need for next-generation observational and modeling approaches to advance a predictive understanding of such processes in the alpine region. However, several formidable challenges, including the cold and harsh climate, high altitude and complex topography, inhibit complete and consistent data collection where/when needed, which hinders the development of remote sensing technologies and alpine hydrological models. The current study presents a suite of datasets consisting of long-term hydrometeorological, snow cover and frozen ground data for investigating watershed science and functions from an integrated, distributed and multiscale observation network in the upper reaches of the Heihe River Basin (HRB) in China. Gap-free meteorological and hydrological data were monitored from an observation network connecting a group of automatic meteorological stations (AMSs). In addition, to capture snow accumulation and ablation processes, snow cover properties were collected from a snow observation superstation using state-of-the-art techniques and instruments. High-resolution soil physics datasets were also obtained to capture the freeze-thaw processes from a frozen ground observation superstation. The updated datasets were released to scientists with multidisciplinary backgrounds (i.e., cryosphere science, hydrology, and meteorology), and they are expected to serve as a testing platform to provide accurate forcing data and validate and evaluate remote sensing products and hydrological models for a broader community. The datasets are available from the Cold and Arid Regions Science Data Center at Lanzhou https://doi.org/10.3972/hiwater.001.2019.db.

show abstract

A Snow Distribution Model Based on Snowfall and Snow Drifting Simulations in Mountain Area

Cited by 31 publications

References 45 publications

Permafrost zonation index map and statistics over the Qinghai–Tibet Plateau based on field evidence

Permafrost zonation index map and statistics over the Qinghai–Tibet Plateau based on field evidence

Integrated hydrometeorological, snow and frozen-ground observations in the alpine region of the Heihe River Basin, China

Integrated hydrometeorological – snow – frozen ground observations in the alpine region of the Heihe River Basin, China

Contact Info

Product

Resources

About