نتایج جستجو برای: determining boundaries snow the

تعداد نتایج: 16072425  

2013
Kathryn J. Bormann Seth Westra Jason P. Evans Matthew F. McCabe

Snow density is a fundamental physical property of snowpacks used in many aspects of snow research. As an integral component in the remote sensing of snow water equivalent and parameterisation of snow models, snow density may be used to describe many important features of snowpack behaviour. The present study draws on a significant dataset of snow density and climate observations from the Unite...

2009
Margherita Maggioni Michele Freppaz Paolo Piccini Mark W. Williams Ermanno Zanini

Snowpack evolution and glacier ice surface temperatures were studied on the Indren glacier (Northwestern Alps, Italy) under different meteorological conditions: in winter 2002–2003, rich in snow from the beginning of the season, and in winter 2005– 2006, poor in snow until February. Periodical snow profiles were made to measure the physical properties of snow, while data loggers measured the sn...

Journal: :Remote Sensing 2016
Stefan Kern Burcu Ozsoy-Çiçek

Snow on Antarctic sea ice plays a key role for sea ice physical processes and complicates retrieval of sea ice thickness using altimetry. Current methods of snow depth retrieval are based on satellite microwave radiometry, which perform best for dry, homogeneous snow packs on level sea ice. We introduce an alternative approach based on in-situ measurements of total (sea ice plus snow) freeboard...

2015
Jacob Ross

LIMITED EXTRAPOLATION: If we possess the evidence that it has snows in Moscow every year for at least one thousand consecutive years, and if we possess no contrary evidence suggesting a change in the Russian climate, and if, as a matter of fact, it Snows in Moscow the next year not belonging to this set, then we are in a position to know that it snows in Moscow the next year. That is, if, on th...

2014
C. Jiao M. G. Flanner Y. Balkanski S. E. Bauer N. Bellouin R. B. Skeie S. D. Steenrod P. Stier T. Takemura K. Tsigaridis T. Van Noije K. Zhang T. K. Berntsen H. Bian K. S. Carslaw M. Chin N. De Luca T. Diehl S. J. Ghan T. Iversen A. Kirkevåg D. Koch X. Liu G. W. Mann J. E. Penner G. Pitari M. Schulz Ø. Seland T. van Noije

Though many global aerosols models prognose surface deposition, only a few models have been used to directly simulate the radiative effect from black carbon (BC) deposition to snow and sea ice. Here, we apply aerosol deposition fields from 25 models contributing to two phases of the Aerosol Comparisons between Observations and Models (AeroCom) project to simulate and evaluate within-snow BC con...

Background:   Iran places sixth amongst high risk natural disaster countries and Guilan province of Iran shoulders a large amount of socio-economic burden due to snow catastrophes. The more knowledge of circumstances we have, the more efficient our future encounters will be. Methods: In this retrospective study, of all of the patients admitted to Poursina Hospital due to snow and ice related tr...

ژورنال: پژوهش های مشاوره 2018

Aim: The aim of this study was to compare the parent-adolescent perception about the flexibility of family boundaries based on development. Method: this research was done by qualitative research method and phenomenological approach. By convenience sampling, 10 girl adolescents aged from 15 to 18 and their mothers aged 37 to 55 were selected and their perceptions of family boundaries were stu...

Journal: :journal of agricultural science and technology 2012
a. khalili h. rahimi z. aghashariatmadary

simultaneous heat and water model (shaw) is based on the assimilation rate of melting and/or freezing of the accumulated snow as well as melting of ice in soil. the main objective of this study was to evaluate applicability of shaw model in determining maximum depth of frost penetration in soils in some typical climates of iran. to this end, the daily data of air temperature, soil temperatures ...

Journal: :Remote Sensing 2015
Hongyi Li Yong Qi He Xiaohua Hao Tao Che Jian Wang Xiao Dong Huang

High-resolution snow distributions are essential for studying cold regions. However, the temporal and spatial resolutions of current remote sensing snow maps remain limited. Remotely sensed snow cover fraction (SCF) data only provide quantitative descriptions of snow area proportions and do not provide information on subgrid-scale snow locations. We present a downscaling method based on simulat...

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