Glaciers of the Himalayas

Page 81

Modeling the Role of Black Carbon in Glacier Melt  l  61

Qian et al. (2015) find that, when collectively considering all light-absorbing particles (black carbon, brown carbon, and organic carbon over snow or ice), induced changes in snow albedo generate changes in surface-radiative flux of 5–25 watts per square meter during the spring, with a maximum in April or May. Other studies have shown smaller-magnitude forcings (1–3 watts per square meter by Ménégoz et al. 2014; 1.5 watts per square meter by Flanner et al. 2007). However, Ménégoz et al. (2014) acknowledge that the coarse global model employed is not able to resolve adequately the extreme variation in wet deposition of BC with altitude and includes periods without snow cover. Flanner et al. (2007) find much higher magnitudes (10–20 watts per square meter) when averaging only over the snow-covered region of the Himalayas, a forcing one to four times greater than that exerted by carbon dioxide (CO2) alone. Xu, Lamarque, and Sanderson (2018) use a global model with an approximately one-degree spatial resolution and scaling factors between two and four to bottom-up emissions inventories to reflect observations better. In addition to the altitude dependence of BC deposition described earlier, Xu et al. find that preindustrial to present-day increases in BC emissions reduce the annual average snow fraction over the Tibetan plateau by more than 6 percent (relatively) and reduce snow depth by approximately 19 percent. They also find that surface albedo decreases by more than 5 percent along the Himalayan mountain range and 1.4 percent over the entire Tibet region, providing positive local feedback to the enhanced local warming. Kopacz et al. (2011), described above, calculate instantaneous radiative forcing (with and without the presence of BC particles in snow) of +3.78 to +15.6 watts per square meter at the five sites studied, with a minimum range in winter of approximately 3–11 watts per square meter across the sites and a maximum range in summer of approximately 7–16 watts per square meter. Their study does not account for the reduction in albedo due to dust or soil in the snow.

Results A framework for assessing the impacts of black carbon on glaciers is necessarily complex. Given the literature reviewed in this chapter, it is clear that a robust framework for exploring the role of BC and other air pollution in influencing snow melt and the subsequent hydrology in the HKHK region must be able to account for the tremendous variation in elevation, the transport of pollution, and the surface dynamics of snow melt and reflectance. The direct radiative forcing of aerosols is critical over highly reflective snow surfaces like the Himalayas, where a small concentration of absorbing aerosols in the atmosphere can lead to significant warming. The magnitude of this direct radiative forcing strongly depends on the columnar aerosol loading (aerosol optical depth). This section outlines the methodology used in this book to develop the BC scenarios. The methodology and results are detailed in Alvarado et al. (2018).


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C.3 CCHF Performance during Validation for Each Climate Product

10min
pages 129-135

C.2 CCHF Performance during Calibration for Each Climate Product

2min
page 128

References

27min
pages 109-126

The Way Forward

2min
page 108

References

1min
pages 101-102

Black Carbon Deposition in the Region

2min
page 95

Implications of the Findings

11min
pages 103-107

Current HKHK Water Production

2min
page 92

Results

4min
pages 81-82

Hindu Kush Region, by Month, 2013

2min
pages 84-85

Black Carbon and Glacier Modeling to Date

2min
page 80

Black Carbon and Air Pollution

2min
page 78

Creating the Black Carbon Scenarios

5min
pages 66-67

CCHF Model: Linking Climate, Snow and Glaciers, and Water Resources

2min
page 69

Downscaling Climate in the Himalayas

2min
page 68

Framework (CCHF

1min
page 71

Climate Data

2min
page 64

4.2 Aspects of Climate Modeling

1min
page 65

4.1 Previous Analyses Related to the Current Research

2min
page 62

Overview

1min
page 61

References

4min
pages 58-60

Indus River Basin

2min
page 53

Notes

2min
page 57

Knowledge Gaps

2min
page 56

References

13min
pages 44-51

2.3 Impact of Aerosols on Regional Weather Patterns and Climate

2min
page 43

2.4 Average Annual Monsoon Precipitation in South Asia, 1981–2010

1min
page 41

1 Average Percentage of Annual Precipitation in South Asia, by Season 1981–2000 32

2min
page 23

Drivers of Glacial Change in South Asia

2min
page 35

Glacial Change

2min
page 31

References

1min
page 28

Implications of Glacial Change

2min
page 34

Economic Importance

1min
page 29

1.1 The Indus (Left), Ganges (Center), and Brahmaputra (Right) Basins in South Asia

1min
page 27
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