On a relation between probability occurrence of solid precipitation and ground air temperature. (1). On the locality of the relation and possibility of prediction of precipitation type.

Hasemi, Tatsuo

doi:10.5331/seppyo.53.33

Cited by 12 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…P and snowmelt minus interception) and evapotranspiration are computed using submodels (1) and (2) at each W1-W4 zone, and are then area-weighted averaged to supply water into the submodel (3), which is lumped with W1-W4. It should also be noted that discriminating P into rainfall and snowfall was crucial in our model; we used the determinant temperature as a function (Hasemi, 1991), given by…”

Section: Methodsmentioning

confidence: 99%

Impact of climate change on runoff from a mid‐latitude mountainous catchment in central Japan

Shinohara

Kumagai

Otsuki

et al. 2009

Hydrological Processes

View full text Add to dashboard Cite

Abstract:Hydrologic balance in high-altitude, mid-latitude mountain areas is important in terms of the water resources available to associated lowlands. This study examined how current and historical shifts in precipitation (P) patterns and concurrent increases in temperature (T) affected runoff (Q) and other hydrologic components in a mid-latitude mountain catchment of central Japan, using a combination of long-term data and a simplified hydrologic model, along with their stochastic treatment. The availability of intensive meteorological and hydrological data from the period 1997-2001 allowed the derivation of key relationships for the current climate that tie the forcing term to the parameters or state variables. By using the data recorded in the period 1965-2001, the force for driving the historical simulation was generated. Based on this model and historical shifts in P and T, the probability density functions of Q (pdf(Q)) was computed. A main novelty in this study is that such a stochastic representation, which is useful for considering the influence of projected shifts in environmental factors on the hydrologic budget, was provided. Despite the large increase in the rate of T in winter and spring, pdf(Q) in spring and summer varied appreciably during the time studied mainly because of an increase in snowmelt. An interannual change in whole-year Q was robust to shifts in T because while Q in spring increased, in summer it decreased, implying a crucial effect of global warming on mountain hydrologic regimes is change in the timing of Q.

show abstract

Section: Methodsmentioning

confidence: 99%

Impact of climate change on runoff from a mid‐latitude mountainous catchment in central Japan

Shinohara

Kumagai

Otsuki

et al. 2009

Hydrological Processes

View full text Add to dashboard Cite

show abstract

“…This study simply corrected the hourly precipitation data using temperature and uncorrected wind speed data and compared it with the original time sequence. Considering that snowfall/rainfall tendency on the Sugadaira Highland depends on precipitation from extratropical cyclones (Sato , 2012), this study adopted the empirical formula for precipitation phase discrimination advocated by Hasemi (1991), which proposed the snowfall probability temperature at 50 % (T50) in the case of an extratropical cyclone with a function of altitude. At 1253 m (altitude at the Sugadaira AMeDAS) in the case of precipitation by extratropical cyclone, a T50 as 0.7 ℃ was derived.…”

Section: Precipitation Variabilities With Observation Biasesmentioning

confidence: 99%

“…The probability of rain or snow was determined only with a threshold temperature of 0.7 ℃ based on Hasemi (1991) in Chapter 4. Additionally, Jennings (2018) pointed out that the T50 in Japan tends to be greater than the Northern Hemisphere average (1.0 ℃).…”

Section: Validations By Pwd Datamentioning

confidence: 99%

Assessments of long-term precipitation and temperature variations during snow cover periods using high-elevation AMeDAS data in central Japan

Ueno

2023

Bulletin of Glacier Research

View full text Add to dashboard Cite

Long-term hourly data records of the Automated Meteorological Data Acquisition System (AMeDAS) with snow depth measurements at three high elevation sites were analyzed in central Japan to assess the decadal scale winter climate variabilities with the effects of observation biases. Year-to-year variations of persistent snow cover periods (PSCPs) did not show a significant shortening trend with the delays of starting the PSCP associated with El Niño in December and forward to the ending of the PSCP with nationwide warming in March. Significant warming trends in the surface air temperature averaged in PSCPs were not identified, and length of the PSCP strongly contributed to the year-to-year variations of monthly averaged winter air temperatures. Long-term variabilities of precipitation records were primarily affected by changing the gauge type and data resolutions. After a simple correction of gauge undercatch by air temperature and wind speed, the amount of precipitation increased by around 20 % at the northern station but only by 3 % in the south due to frequent rain-on-snow events. In the two northern stations, snowfall amounts on the order of around 10 % were estimated to be missing in the precipitation records, where a long-term decreasing trend in occurrences of freezing precipitation was also found. The statistics calculated by AMeDAS data were verified using the data of the Vaisala Present Weather Detector in the Sugadaira Highland.

show abstract

Observation of snow water equivalent in the North catchment area of Lake Biwa

et al. 2011

View full text Add to dashboard Cite

Field investigations were carried out during the winters of 2001 through 2008 to investigate the annual fluctuation of the snow water equivalent (SWE) in the north catchment area of Lake Biwa in the northeast region of Shiga Prefecture, also in the southern part of the heavy snowfall area of Japan. On the basis of the observations from this study, the SWE model was developed that can simulate temporal changes in the SWE in this region. This model can calculate the SWE, using an empirical parameter specific to the Shiga Prefecture. The model was developed to include snow accumulation and snowmelt processes, using only precipitation and temperature. It was used to estimate the annual SWE over every 1-h interval at a catchment area in Yogo, Shiga Prefecture, Japan. The accumulation process involves separation of snowfall and rainfall at different temperatures by using an empirical formula. For the snowmelt process, the degree-hour method is employed. The performance of the degree-hour method depends on a region's accumulated temperature. The model was applied to data collected during the winters of 2001 and 2008, and the results compared to the observed SWE in Yogo. The observed and calculated results for 2001 are in good agreement, whereas they are not in good agreement for 2008. Thus, this model can be used to simulate different scenarios specified in the IPCC guidelines, for different temperature and precipitation values, only for the winter of 2001.

show abstract

On a relation between probability occurrence of solid precipitation and ground air temperature. (1). On the locality of the relation and possibility of prediction of precipitation type.

Cited by 12 publications

References 3 publications

Impact of climate change on runoff from a mid‐latitude mountainous catchment in central Japan

Impact of climate change on runoff from a mid‐latitude mountainous catchment in central Japan

Assessments of long-term precipitation and temperature variations during snow cover periods using high-elevation AMeDAS data in central Japan

Observation of snow water equivalent in the North catchment area of Lake Biwa

Contact Info

Product

Resources

About