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Ablation and Heat Balance of the Yukikabe Snow Patch in the Daisetsu Mountains, Hokkaido, Japan

Published online by Cambridge University Press:  20 January 2017

A. Sato ,
S. Takahashi ,
R. Naruse  and
G. Wakahama
A. Sato
Affiliation:
Institute of Low Temperature Science, Hokkaido University, Sapporo 060, Japan
S. Takahashi
Affiliation:
Kitami Institute of Technology, Kitami 090, Japan
R. Naruse
Affiliation:
Institute of Low Temperature Science, Hokkaido University, Sapporo 060, Japan
G. Wakahama
Affiliation:
Institute of Low Temperature Science, Hokkaido University, Sapporo 060, Japan
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Abstract

A good correlation was found between the ablation of snow and degree day index (cumulative values of positive daily mean air temperature) during the summer of 1978 on the Yukikabe snow patch in the Daisetsu mountains, central Hokkaido. The volume change of the snow patch in the ablation season of any year can hence be estimated from air temperature using this relationship. Each of the heat-balance terms controlling the ablation is evaluated separately by using empirical equations and assumed values for meteorological parameters at the snow patch. Triangular diagrams are constructed in order to illustrate the relative contributions of sensible heat, latent heat, and net radiation, the main three heat sources. A higher contribution from sensible and latent heat is found for the snow patches of Japan than for many glaciers and ice caps elsewhere. This may be due to higher mid-summer air temperatures than in other glaciated parts of the world.

Type
Research Article
Information
Annals of Glaciology , Volume 5 , 1984 , pp. 122 - 126
Copyright
Copyright © International Glaciological Society 1984

1 Introduction

Yukikabe (1 750 m a.s.l., 43.7°N 142.9°E) is one of the perennial snow patches in the Daisetsu mountains of central Hokkaido, northern Japan. The snow patch forms as a large snowdrift on a leeward mountain slope under the northwesterly monsoon during the winter. The annual accumulation of snow is estimated to be about 15 m. Usually, the snow patch shrinks to 1 to 3×l03 m2 in area and several metres deep at the end of the ablation season, i.e. the beginning of October. Extensive glaciological research has been conducted at this snow patch since 1964 (Reference KinositaKinosita and others 1965), particularly into snow metamorphism (Reference Wakahama and NaritaWakahama and Narita 1975), yearly variation of the snow patch size (Reference Naruse, Ishimoto, Sakamoto and TakahashiNaruse and others 1972), and mass and heat balance (Reference Inoue and MatsudaInoue and Matsuda 1973).

A number of heat-balance studies have estimated the ablation of snow and ice by means of mean air temperature (e.g. Reference IshiiIshii 1959, Reference KhodakovKhodakov 1975, Reference BurbankBurbank 1982). Reference KrausKraus (1975) derived relations between ablation and air temperature using a model with the parameters of relative humidity, wind speed, and heat-transmission coefficient. The effect of various meteorological parameters on the ablation of glaciers has also been examined (Reference Emelyanov and KonovalovEmelyanov and Konovalov 1975). Reference Arai and SekineArai and Sekine (1973) have discussed the correlation between ablation and degree day index in connection with the formation of perennial snow patches in Japan.

The present paper gives the heat-balance characteristics of the Yukikabe snow patch on the basis of long-term observations of ablation and meteorological conditions. We also attempt to clarify the physical mechanism for such a linear relation between ablation and air temperature.

2 Field Observations

Snow melt

There are several devices to record snow depth; however, most of them either require mains electric power or are not suitable for use in a remote mountain area. A snow depth meter which we have developed records the sinking snow surface of the snow patch, and is based on the snow depth recorder of Reference Takahashi and AburakawaTakahashi and Aburakawa (1976), The meter consists of 120 optical glass fibres of 0.5 mm diameter contained in a 12 m-long reinforced rubber tube 25 mm in diameter, and an 8 mm camera with a battery-operated timer for hourly recording (Reference Sato, Takahashi, Naruse and WakahamaSato and others 1981). The tube is buried vertically in the snow patch. Over 10 m of snow-melt was recorded during the observation period from 4 July to 5 October 1978 (Fig.1). Snow-melt in centimetres of water equivalent (MW) were obtained from the depth of snow-melt (MD) and the density profile of the firn obtained by coring (Reference SatoSato and others 1978).

Fig. 1 The observed daily snow melt in depth MD, daily snow melt in water equivalent MW, mean daily air temperature, sunshine duration, and lapse rate at the Yukikabe snow patch during July and August 1978.

Air temperature

Air temperature was measured every three hours by thermistor. Daily mean temperatures are shown in Figure 1. The lapse rate (altitudinal gradient of temperature) is estimated to be 6.8°C km−1 from the daily mean temperatures at Yukikabe and the Asahikawa meteorological observatory (113 m a.s.l.), 45 km to the west of the snow patch. This lapse rate was used to estimate the air temperature of Yuklkabe for missing periods of observation.

Sunshine duration

An 8 mm cine camera photographed the Yukikabe snow patch once an hour, allowing sunshine duration and the weather to be estimated. The average sunshine duration during July and August, shown in Figure 1, was 6.5 h d−1. Since this duration is about one half of the time from sunrise to sunset, the cloud cover n is assumed to be 0.5.

Area and volume of the snow patch

The area of the snow patch was measured by simple optical survey, and the volume was calculated from the surface and bedrock topography. The area in 1978 was 4.8×103 m2 (on 5 July) and 1.1×103 m2 (5 October). The volume was 35×103 m3 (5 July) and 3.4×103 m3 (5 October).

3 Correlation Between Ablation and Degree Day Index

Ablation of snow 1s expressed as water equivalent, H of snow of density M. Degree day Index ΣT is the cumulative positive values of mean daily air temperature. For the three months of observation, a linear relation was found between Σ T and H and H. The proportional coefficient k or kw, with degree day factor, has the following values:

(1)

(2)

Although Reference Naruse, Ishimoto, Sakamoto and TakahashiNaruse and others (1972) previously demonstrated that the volume of the Yukikabe snow patch could be described by a cubic relation of ΣT, the values for the coefficients were not determined.

The ablation rate of a snow patch (volume decrease) is:

(3)

where V is the volume (m3), S the horizontally projected surface area (m2), and h the vertical melt rate (m d−1). Basal melt rate was about 0.5 mm d−1 in northern Hokkaido (Reference KojimaKojima 1982). Here basal melting as well as densification of snow are ignored. Assuming the relation between S and V to be

(4)

we obtain from Equation (3)

(5)

where the coefficient f and index n, which are determined by the shape of the snow patch, are assumed to be unchanged through the ablation season. H is total snow-melt in metres until the t-th day of the ablation season, and Vmax is the initial volume at the start of the ablation season.

For the obtained values of S and V for the Yukikabe snow patch from 1972 to 1979 (Reference SatoSato and others 1977, Reference Sato, Takahashi, Naruse and Wakahama1981), Equation (4) holds well with n=2/3, and for most years f=4.5. By Equations (1) and (5) we get:

(6)

where ΣT refers to the t-th day of the ablation season. In Figure 2, this relation is shown by several curves of different values of Vmax. While the volume measurements of the Yukikabe snow patch have been conducted every year since 1964, there are several years with more than two measurements per year. The volumes of 1965 and 1978 are shown in Figure 2, for example. In a few other years f has varying values in Equation (4), so that curves of varying gradient can be drawn for those years in this figure.

Fig. 2 Calculated volume changes with degree day index for the Yukikabe snow patch from the beginning of an ablation season. Open circles indicate values measured in 1965, solid circles in 1978.

Using this model a single observation of V and S in an ablation season can provide the values f and Vmax, and the volume change of the Yukikabe snow patch can be estimated from air temperature.

4 Evaluation of Heat Sources

There are five heat sources on the melting snow surface: sensible heat flux QA, latent heat flux QE, flux of net long-wave radiation QRL, flux of net short-wave radiation QRS, and heat flux of rainfall QP Therefore, the total heat flux QM is:

Incoming heat fluxes are taken as positive. Each heat source QA, QE, and QRL is evaluated using empirical equations.

Sensible heat flux (Reference Naruse, Oura and KojimaNaruse and others 1970) is:

(7)

where U and T are the wind speed (m s−1) and air temperature (°C) at 1 m height above the snow surface (1 ly = 41.9 kJ m−2). In Figure 3, QA is presented as a function of temperature, where U is taken to be 4 m s−1, based on previous observations (Reference Takahashi, Fujii and IshidaTakahashi and others 1973).

Fig. 3 The relation between air temperature and heat balance terms: QA (sensible heat), QE(latent heat), and QRL (net long-wave radiation). R.H. denotes relative humidity, n cloud amount. 1 ly = 41.9 kJ m−2.

Latent heat flux QE is given by Reference KojimaKojima (1969) as

(8)

where e is vapour pressure (mbar) at 1 m height. If wind speed and relative humidity are assumed to be constant during the ablation season, QE can be estimated from the air temperature only by using the above equation. The calculated curves for QE are shown in Figure 3 with U = 4 m s−1, for the cases of 60, 80, and 100% relative humidity (R.H.). Positive values of QE indicate vapour condensation, and negative values, evaporation.

A good correlation between vapour pressure and air temperature is observed in Asahikawa from July through to September, and there was little change in R.H. from around 80% (Reference Sato, Takahashi, Naruse and WakahamaTakahashi and others 1981). R.H. is therefore assumed to be constant at 80% in the following discussion.

The net long-wave radiation QRL is (Reference KondoKondo 1967):

(9)

where σ is the Stefan-Boltzman constant, and C a parameter determined by type and amount of the cloud cover n. Figure 3 shows results for the case of low cloud and n = 0.0, 0.5, and 1.0. QRL is seen to increase with air temperature.

Absorbed short-wave radiation is :

(10)

where I is solar radiation (ly d−1) and R is the albedo of the snow surface. I shows a large diurnal variation and has a poor correlation with air temperature. R was measured to be 0.55 in May and 0.45 in August at the snow patches in the Daisetsu mountains (Reference Kubota, Fukami, Ohmae, Kaneda and YamadaKubota and others 1978). From the observation of I in Asahikawa, the mean value of QRS at the Yukikabe snow patch in summer is assumed to be 200 ly d−1.

Heat flux from rainfall Qp is estimated to be only 3% of QA for 10 mm d−1 of precipitation (the monthly average precipitation seldom exceeds this value in Hokkaido). Qp can therefore be neglected for the long period under consideration.

5 Calculation of Degree Day Factor

In the previous discussion, each heat source for ablation is expressed as a function of air temperature, except short-wave radiation QRS. Here a coefficient K 1s discussed, which is determined from Qm = KT for the mean monthly values. Therefore, K is equivalent to Lkw (L is the latent heat of fusion). K is calculated from QM estimated previously, and is shown as a function of T in Figure 4, with the parameter QRS. The circles indicate the calculated K from QM and T for each month in the case of the Yukikabe snow patch.

Fig. 4 The change of coefficient K (defined as K = QM/T) with mean monthly air temperature T and short-wave radiation QRS. Circles show the estimated K for the Yukikabe snow patch (numbers denote month, i.e. 6 = June, 7 = July, and so on).

At temperatures lower than about 10°C, K changes considerably with QRS. This means that the correlation between ablation and temperature becomes poor, except for a certain value of QRS (about 200 ly d−1). However, above 10°C the coefficient K tends to be more stable. This is thought to be the case for most snow patches in Japan, for which the air temperature rises relatively high in summer.

The explanation for the good correlation between ablation of snow and temperature for the Yukikabe snow patch is as follows: (i) sensible heat, latent heat and long-wave radiation have positive correlations with air temperature, (ii) short-wave radiation QRS remains in proportion to other heat sources. It is not necessary for sensible heat to dominate in order to maintain a good correlation between ablation and temperature.

6 Contribution of Heat-Balance Terms

The contributions of the three main heat terms QA, QE, and QR (=QRS + QRL) to the total QM of theYukikabe snow patch are calculated and shown in triangular diagrams. In the diagrams each term is expressed as a fraction of QM (= QA+ QE + QR), i.e. QA/QM, QE/QM, and QR/QM. The curves in Figure 5 express these ratios as a function of temperature as well as of QRS. They are calculated using the values found for the Yukikabe snow patch (U = 4 m s−1, R.H. = 80% and n = 0.5). For higher temperatures the relative contribution of increases and that of QRS decreases, whereas at low temperatures has less effect and the contribution of QR varies considerably depending on QRS.

Fig. 5 A triangular diagram of heat-balance contribution with parameters QRSand T. Each corner indicates 100% of QA, QE, or QR as a proportion of the total heat QM. Open circles indicate the ratios for the Yukikabe snow patch from June (6) to September (9); triangles represent Tsurugisawa snow patch, and solid circles for other glaciers and ice caps.

In the diagram, open circles indicate the estimated values for the Yukikabe snow patch (the numbers refer to the month: 6 = June, 7 = July, and so on), solid triangles refer to the Tsurugisawa snow patch (36.5° N 137.6°E) in central Honshu (Hikaku Hyoga Kenkyu-kai 1973). Solid circles indicate values obtained during the ablation season from glaciers and ice caps elsewhere in the world listed by Reference PatersonPaterson (1969).

In Figure 6 the curves are shown as a function of temperature and relative humidity, calculated with the values U = 4 m s−1, QRS = 200 ly d−1, and n = 0.5. For higher air temperatures, the curves tend to a single line with a nearly constant ratio of QR to QA.

Fig. 6 A triangular diagram of heat-balance contribution with parameters T and R.H. (relative humidity). Symbols are the same as those in Figure 5.

7 Conclusion

The results obtained in this study for the Yukikabe snow patch are summarized as follows:

  • (a). The proportional coefficient k between snow melt and degree day index ΣT is found to be constant over the three months of the ablation season.

  • (b). Using the constant value of k, the ablation (volume decrease) of the Yukikabe snow patch is described by a function of ΣT. This model shows good agreement with the observed ablation.

  • (c). Each heat-balance term is found to increase as a function of temperature, except for the absorptive short-wave radiation term QRS. For a certain value of QRS, the total of the heat terms shows a good cor relation with air temperature, and the coefficient k becomes constant for a wide temperature range. Yukikabe snow patch fits in with this case.

  • (d). Using triangular diagrams the contributions of sensible heat flux QA, latent heat flux QE, and net radiation flux QR can be examined by changing the temperature, QRS, and relative humidity.

  • (e). It is shown that snow patches in Japan have a much larger contribution of QA, QE compared with other glaciers. This could result from higher air temperatures in Japan than elsewhere in summer.

The authors would like to thank many graduate students in the Institute of Low Temperature Science for their contribution to the field observations. Drs E Akitaya and T Yamada helped with the development of the instruments. Acknowledgment is also due to Professor R L Brown and Mr E E Adams of Montana State University for kind assistance in preparing the manuscript.

References

Arai, T, Sekine, K 1973 Nihoin no sanchi no zansetsu no keisei ni kansuru kenkyū [Study on the formation of perennial snow patches in Japan]. Chirigaku Hyōron 46(9): 569–582 Google Scholar
Burbank, D W 1982 Correlations of climate, mass balances, and glacial fluctuations at Mount Rainier, Washington, U.S.A., since 1850. Arctic and Alpine Research 14(2): 137–148 CrossRefGoogle Scholar
Emelyanov, Y N, Konovalov, V G 1975 Estimation of total ablation on Central Asian glaciers. International Association of Hydrological Sciences Publication 104 (General Assembly of Moscow 1971 - Snow and Ice): 99–105 Google Scholar
Hikaku Hyōga Kenkyū-kai [Data Center for Glacier Researches] 1973 Himaraya sanmyaku no hyoga kenkyu. 1. Himaraya sanmyaku, toku ni Neparu Hirmraya no hyoga kenkyū ni okevu sho-mondai [On the problems in glaciologiaal study of the Himalayas; Nepal Himalayas]. Sapporo, Japanese Society of Snow and Ice Google Scholar
Inoue, M, Matsuda, M 1973 Daisetsn-san Yuki-kabe sekkei ni okeru shitsuryō shūshi no kenkyū [Mass balance study of ttie Yukikabe perennial snow patch in the Daisetsu mountains, Hokkaido]. Journal of the Japanese Society of Snow and lce 35(4): 180–191 Google Scholar
Ishii, Y 1959 Sekisetsu kiso chōsa. Yusetsu no kenkyu [Investigation of snow drifting. Study of snowmelt. Sapporo, Hokkaidō Denryoku Kabushlki Kaisha. Sapporo Kanku KishodaiGoogle Scholar
Khodakov, V G 1975 Glaciers as water resource indicators of the glacial areas of the USSR. International Association of Hydrological Sciences Publication 104 (General Assembly of Moscow 1971 - Snow and Ice): 22–29 Google Scholar
Kinosita, S and 10 others 1965 Daisetsu-san no sekkei chosa (Dai 1 nendo) [Studies of firn on Mt. Daisetsu in summer, I]. Low Temperature Science Ser A 23: 121–127 Google Scholar
Kojima, K 1969 Yusetsu-ki ni okeru sekisetsu hyomen no jōhatsu keisū ni tsuite [On an empirical formula for the rate of evaporation from a snow surface in the melting season]. Low Temperature Science Ser A 27: 399–403 Google Scholar
Kojima, K 1982 Teion tasetsu chiiki no tōkikan sekisetsu kamen ni okeru yūsetsuryō. - Jikan henka to toshi ni yoru sai. [Melting at the bottom of a snow cover during the winter in an area with very low temperatures and deep snow. - Variation in melting rate with time and year]. Low Temperature Science Ser A 41: 99–107 Google Scholar
Kondo, J 1967 Analysis of solar radiation and downward long-wave radiation data in Japan. Science Report of Tohoku University Ser 5, Geophysics 18(3): 91–124 Google Scholar
Kraus, H 1975 An energy balance model for ablation in mountainous areas. International Association of Hydrological Sciences Publication 104 (General Assembly of Moscow 1971 - Snow and Ice): 74–82 Google Scholar
Kubota, H, Fukami, K, Ohmae, H, Kaneda, Y, Yamada, T 1978 Daisetsu-san Asaliidake no yūsetsu chōsa [A study of snow melting in Mt. Asahidake, Hokkaido]. Low Temperature Science Ser A 36: 181–188 Google Scholar
Naruse, R, Oura, H, Kojima, K 1970 Kion yūsetsu no yagaikenkyū [Field studies on snow melt due to sensible heat transfer from the atmosphere]. Low Temperature Science Ser A 28: 191–202 Google Scholar
Naruse, R, Ishimoto, K, Sakamoto, Y, Takahashi, S 1972 Daisetsu-san kei ni okeru tanensei sekkei no bunpu oyobi “Yuki-kabe sekkei” no shōchō ni tsuite. Daisetsu-san no sekkei chosa. V. [Studies on the distribution of perennial snowpatches and the mass balance of a snowpatch “Yukikabe” in the Daisetsu mountain region, Japan]. Low Temperature Science Ser A 30: 115–128 Google Scholar
Paterson, W S B 1969 The physics of glaciers Oxford etc, Pergamon Press Google Scholar
Sato, A and 12 others 1977 Daisetsu-san kei sekkei chōsa hōkoku (1977-nen) [Report of survey of the perennial snowpatch in Mt. Daisetsu area (1977)]. Low Temperature Science Ser A 35, Data Report :17–21 Google Scholar
Sato, A and 7 others 1978 Daisetsu-san “Yuki-kabe sekkei” chōsa [Investigation of Yukikabe snowpatch]. Sapporo, Nihon Seppyō Gakkai: 134 Google Scholar
Sato, A, Takahashi, S, Naruse, R, Wakahama, G 1981 Daisetsu-san “Yuki-kabe sekkei” no chōki shōmō-katei [An ablation study on the Yukikabe snow patch in the Daisetsu mountains]. Journal of the Japanese Society of Snow and Ice 43(2): 97–100 CrossRefGoogle Scholar
Takahashi, S, Aburakawa, H 1976 Kōgaku sen’i o riyō shita sekisetsushin kirokukei [A snow depth recorder using optical fibers]. Law Temperature Science Ser A 34: 79–86 Google Scholar
Takahashi, S, Fujii, T, Ishida, T 1973 Setsumen no kikkō moyō no hassei oyobi hattatsu [Origin and development of polygonal ablation hollows on a snow surface]. Low Temperature Science Ser A 31: 191–207 Google Scholar
Takahashi, S, Sato, A, Naruse, R 1981 Daisetsu-san “Yuki-kabe sekkei” no yūsetsu ni kansuru netsushūshi tokusei [A study of heat balance on the Yukikabe snow patch in the Daisetsu mountains]. Journal of the Japanese Society of Snow and Ice 43(3): 147–154 CrossRefGoogle Scholar
Wakahama, G, Narita, H 1975 Metamorphism from snow to firn and ice in a small snow patch on Mt. Daisetsu, Hokkaido, Japan. International Association of Hydrological Sciences Publication 104 [General Assembly of Moscow) 1971 - Snow and Ice): 347–350 Google Scholar
Figure 0

Fig. 1 The observed daily snow melt in depth MD, daily snow melt in water equivalent MW, mean daily air temperature, sunshine duration, and lapse rate at the Yukikabe snow patch during July and August 1978.

Figure 1

Fig. 2 Calculated volume changes with degree day index for the Yukikabe snow patch from the beginning of an ablation season. Open circles indicate values measured in 1965, solid circles in 1978.

Figure 2

Fig. 3 The relation between air temperature and heat balance terms: QA (sensible heat), QE(latent heat), and QRL (net long-wave radiation). R.H. denotes relative humidity, n cloud amount. 1 ly = 41.9 kJ m−2.

Figure 3

Fig. 4 The change of coefficient K (defined as K = QM/T) with mean monthly air temperature T and short-wave radiation QRS. Circles show the estimated K for the Yukikabe snow patch (numbers denote month, i.e. 6 = June, 7 = July, and so on).

Figure 4

Fig. 5 A triangular diagram of heat-balance contribution with parameters QRSand T. Each corner indicates 100% of QA, QE, or QR as a proportion of the total heat QM. Open circles indicate the ratios for the Yukikabe snow patch from June (6) to September (9); triangles represent Tsurugisawa snow patch, and solid circles for other glaciers and ice caps.

Figure 5

Fig. 6 A triangular diagram of heat-balance contribution with parameters T and R.H. (relative humidity). Symbols are the same as those in Figure 5.