DOCSLIB.ORG

World Map Outline Find and Shade: Andes, Alps, Rockies, Himalayas, Caucasus Mountains, East Africa Mountains, Alaska/Yukon Ranges, Sentinel Range, Sudiman Range

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
World Map Outline Find and Shade: Andes, Alps, Rockies, Himalayas, Caucasus Mountains, East Africa Mountains, Alaska/Yukon Ranges, Sentinel Range, Sudiman Range World Map Outline Find and shade: Andes, Alps, Rockies, Himalayas, Caucasus Mountains, East Africa Mountains, Alaska/Yukon Ranges, Sentinel Range, Sudiman Range 1 The World’s Highest Peaks 2 Earth Cross-Section 3 Mountain Climates Fact Sheet • How high a mountain is affects what its climate is like. Moving 300 metres up is the same as moving 350 miles towards one of the poles! • Air pressure also changes as one gains altitude. At the top of Mount Everest (8848 m) the pressure is around 310-360 millibars, compared to around 1013 mb at sea level. • As a result of falling air pressure, rising air expands and cools (although, dry air cools faster than moist air because, as the moist air rises, the water vapour condenses – like in clouds – and this gives off some heat). The higher you are the cooler it gets. That is why we often have snow on mountaintops, even along the equator. • Mountains therefore act as a barrier to moisture-laden winds. Air rising to pass over the mountains cools and the water vapour condenses, turning into either clouds, rain, or if it is cold enough, snow. This is why on one side of a mountain you can experience a wet climate, while on the other side of the same mountain you find an arid one. • A large mountain range can affect the weather of the land beyond it. The Himalayas influence the climate of the rest of India by sheltering it from the cold air mass of central Asia. • In high mountains the first snow may fall several weeks earlier than it does in the surrounding area. In the same way, the last snow may melt well after the rest of the area is snow free. • There is more rain in the mountains since the air rises and cools, causing the moisture in the clouds to condense and fall as rain. • Although it may be freezing cold on the top of high mountains, it is still possible to get sunburn! This is because the air is thinner, and the sun’s rays are very strong. The sunlight may also be reflected off the snow. This is why people going skiing sometimes come back sunburnt! • Mountain weather conditions can also change dramatically. A morning that starts sunny and fine can quickly change to an afternoon of thunderstorms and blizzards. • The treeline or timberline is the edge of the habitat on a mountain beyond which trees are incapable of growing due to environmental conditions. Any higher up the mountain beyond the tree line and the weather is either too windy, too cold or snow persists for too much of the year to sustain trees. • Alpine tree lines are dependent on different variables and so may be set at different elevations depending on where you are in the world. For instance, in the Swiss Alps the tree line is set at approximately 2400 metres, whereas in the Himalayas it sits at approximately 4400 metres. The height of the tree line is also affected by how wet or dry the mountain is, the steepness of its slope, and its proximity either to the coast or to either geographical pole. • There are other types of tree line as well as alpine tree lines, such as the Arctic and Antarctic tree lines (the furthest north or south that trees can grow), desert tree lines (defined by how dry a place can be before it can’t support tree-growth), and exposure tree lines (beyond which trees can’t grow because the winds are too strong). These other types of tree line also affect how high up alpine tree lines are set in different mountain systems around the world. For example, in mountains that suffer very strong winds, the tree line may be lower than it otherwise might. • The weather conditions above the tree line are known as the alpine climate. The snowline is that line above which there is always snow on the ground. 4 • The snow line is affected by the interplay of altitude and latitude. On or near the equator it is typically situated at approximately 4500 metres. As one moves towards the Tropic of Cancer or the Tropic of Capricorn, the snow line increases (in the Himalayas, the permanent snow line can be as high as 5700 metres). Beyond the Tropics the snowline becomes progressively lower as the latitude increases, falling all the way to sea level at either pole. 5 Mountain Diagram ridge summit snowline treeline foothills 6 Mountain Climates Missing Words Game snowline foothills colder oxygen quickly dramatically freezing treeline blizzards severe sub-tropical air altitude pressure The greater the __________ (distance above sea level), the _________ the temperature. Altitude sickness is a common condition that can happen when you climb to a high altitude too ___________. The decrease in atmospheric __________ makes breathing difficult because you are not able to breathe in as much ___________. The ___________ is the line around the mountains above which snow is on the ground all year round. The ____________ is the line around the mountains above which no trees will grow. This is because there is either too little ________, or the weather is so ____________ that trees cannot survive. Mountain weather conditions can change __________. A morning that starts sunny and fine can quickly change to an afternoon of thunderstorms and ___________. In hot places there can be a very real difference between the climate in the _________ of a large mountain range and the climate at the top of its highest peaks. The climate in the lower foothills can be ____________, whereas the climate at the top of the higher peaks can be very cold, sometimes below ____________ all year round. 7 Mountain Climates Missing Words Answers The greater the altitude (distance above sea level), the colder the temperature. Altitude sickness is a common condition that can happen when you climb to a high altitude too quickly. The decrease in atmospheric pressure makes breathing difficult because you are not able to breathe in as much oxygen. The snowline is the line around the mountains above which snow is on the ground all year round. The treeline is the line around the mountains above which no trees will grow. This is because there is either too little air or the weather is so severe that trees cannot survive. Mountain weather conditions can change dramatically. A morning that starts sunny and fine can quickly change to an afternoon of thunderstorms and blizzards. In hot places there can be a very real difference between the climate in the foothills of a large mountain range and the climate at the top of its highest peaks. The climate in the lower foothills can be sub-tropical, whereas the climate at the top of the higher peaks can be very cold, sometimes below freezing all year round. 8 Snowline Chart (average distances above sea level) Svalbard 78°N 0300–0600 m Transhimalaya 32°N 6300–6500 m Scandinavia at the polar circle 67°N 1000–1500 m Himalaya 28°N 4800–6000 m Iceland 65°N 0700–1100 m Pico de Orizaba 19°N 5000–5100 m Eastern Siberia 63°N 2300–2800 m Rwenzori Mountains 1°N 4700–4800 m southern Scandinavia 62°N 1200–2200 m Mount Kenya 0° 4600–4700 m Alaska Panhandle 58°N 1000–1500 m New Guinea 2°S 4600–4700 m Kamchatka (coastal) 55°N 700–1500 m Andes in Ecuador 2°S 4800–5000 m Kamchatka (interior) 55°N 2000–2800 m Kilimanjaro 3°S 5500–5600 m Alps (northern slopes) 48°N 2500–2800 m Andes in Bolivia 18°S 6000–6500 m Central Alps 47°N 2900–3200 m Andes in Chile 30°S 5800–6500 m Alps (southern slopes) 46°N 2700–2800 m North Island, New Zealand 37°S 2500–2700 m Pyrenees 43°N 2600–2900 m South Island, New Zealand 43°S 1600–2700 m corsica 43°N 2600–2700 m Tierra del Fuego 54°S 0800–1300 m Caucasus 43°N 2700–3800 m Antarctica 70°S 0000–0400 m Pontic Mountains 42°N 3800–4300 m Rocky Mountains 40°N 3700–4000 m Karakoram 36°N 5400–5800 m 9 Mountain Ranges of the World Map 10 Mountain Research Questions What mountain range are you researching? How was this mountain range formed? In which continent is the mountain range found? How long is the mountain range? Through which countries does the mountain range go? What is the capital city of each of these countries? What is the highest peak of this mountain range? Include its name and height, and in which country it is found. Has anyone climbed to the summit? If yes, who was the first person, and when did they do it? If no, why has no one climbed it? Does the mountain range have any glaciers? What wildlife can be found on this mountain range? Record anything about them, including their habitat, what they eat and whether they are endangered (and why). Record any other interesting facts about this mountain range. 11 .
Load more

Recommended publications
  • Snow Depth on Arctic Sea Ice
    1814 JOURNAL OF CLIMATE VOLUME 12 Snow Depth on Arctic Sea Ice STEPHEN G. WARREN,IGNATIUS G. RIGOR, AND NORBERT UNTERSTEINER Department of Atmospheric Sciences, University of Washington, Seattle, Washington VLADIMIR F. R ADIONOV,NIKOLAY N. BRYAZGIN, AND YEVGENIY I. ALEKSANDROV Arctic and Antarctic Research Institute, St. Petersburg, Russia ROGER COLONY International Arctic Research Center, University of Alaska, Fairbanks, Alaska (Manuscript received 5 December 1997, in ®nal form 27 July 1998) ABSTRACT Snow depth and density were measured at Soviet drifting stations on multiyear Arctic sea ice. Measurements were made daily at ®xed stakes at the weather station and once- or thrice-monthly at 10-m intervals on a line beginning about 500 m from the station buildings and extending outward an additional 500 or 1000 m. There were 31 stations, with lifetimes of 1±7 yr. Analyses are performed here for the 37 years 1954±91, during which time at least one station was always reporting. Snow depth at the stakes was sometimes higher than on the lines, and sometimes lower, but no systematic trend of snow depth was detected as a function of distance from the station along the 1000-m lines that would indicate an in¯uence of the station. To determine the seasonal progression of snow depth for each year at each station, priority was given to snow lines if available; otherwise the ®xed stakes were used, with an offset applied if necessary. The ice is mostly free of snow during August. Snow accumulates rapidly in September and October, moderately in November, very slowly in December and January, then moderately again from February to May.
    [Show full text]
  • Comparison of Remote Sensing Extraction Methods for Glacier Firn Line- Considering Urumqi Glacier No.1 As the Experimental Area
    E3S Web of Conferences 218, 04024 (2020) https://doi.org/10.1051/e3sconf/202021804024 ISEESE 2020 Comparison of remote sensing extraction methods for glacier firn line- considering Urumqi Glacier No.1 as the experimental area YANJUN ZHAO1, JUN ZHAO1, XIAOYING YUE2and YANQIANG WANG1 1College of Geography and Environmental Science, Northwest Normal University, Lanzhou, China 2State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources/Tien Shan Glaciological Station, Chinese Academy of Sciences, Lanzhou, China Abstract. In mid-latitude glaciers, the altitude of the snowline at the end of the ablating season can be used to indicate the equilibrium line, which can be used as an approximation for it. In this paper, Urumqi Glacier No.1 was selected as the experimental area while Landsat TM/ETM+/OLI images were used to analyze and compare the accuracy as well as applicability of the visual interpretation, Normalized Difference Snow Index, single-band threshold and albedo remote sensing inversion methods for the extraction of the firn lines. The results show that the visual interpretation and the albedo remote sensing inversion methods have strong adaptability, alonger with the high accuracy of the extracted firn line while it is followed by the Normalized Difference Snow Index and the single-band threshold methods. In the year with extremely negative mass balance, the altitude deviation of the firn line extracted by different methods is increased. Except for the years with extremely negative mass balance, the altitude of the firn line at the end of the ablating season has a good indication for the altitude of the balance line.
    [Show full text]
  • Glacier (And Ice Sheet) Mass Balance
    Glacier (and ice sheet) Mass Balance The long-term average position of the highest (late summer) firn line ! is termed the Equilibrium Line Altitude (ELA) Firn is old snow How an ice sheet works (roughly): Accumulation zone ablation zone ice land ocean • Net accumulation creates surface slope Why is the NH insolation important for global ice• sheetSurface advance slope causes (Milankovitch ice to flow towards theory)? edges • Accumulation (and mass flow) is balanced by ablation and/or calving Why focus on summertime? Ice sheets are very sensitive to Normal summertime temperatures! • Ice sheet has parabolic shape. • line represents melt zone • small warming increases melt zone (horizontal area) a lot because of shape! Slightly warmer Influence of shape Warmer climate freezing line Normal freezing line ground Furthermore temperature has a powerful influence on melting rate Temperature and Ice Mass Balance Summer Temperature main factor determining ice growth e.g., a warming will Expand ablation area, lengthen melt season, increase the melt rate, and increase proportion of precip falling as rain It may also bring more precip to the region Since ablation rate increases rapidly with increasing temperature – Summer melting controls ice sheet fate* – Orbital timescales - Summer insolation must control ice sheet growth *Not true for Antarctica in near term though, where it ʼs too cold to melt much at surface Temperature and Ice Mass Balance Rule of thumb is that 1C warming causes an additional 1m of melt (see slope of ablation curve at right)
    [Show full text]
  • Snow Cover and Glacier Change Study in Nepalese Himalaya Using Remote Sensing and Geographic Information System
    26 A. B. Shrestha & S. P. Joshi August 2009 Snow Cover and Glacier Change Study in Nepalese Himalaya Using Remote Sensing and Geographic Information System Arun Bhakta Shrestha1 and Sharad Prasad Joshi2 1 International Centre for Integrated Mountain Development, Nepal E-mail: [email protected] 2 Water and Energy Commission Secretariat, Nepal ABSTRACT Snow cover and glaciers in the Himalaya play a major role in the generation of stream flow in south Asia. Various studies have suggested that the glaciers in the Himalaya are in general condition of retreat. The snowline is also found to be retreating. While there are relatively more studies on glaciers fluctuation in the Himalaya, studies on snow cover is relatively sparse. In this study, snow cover and glacier fluctuation in the Nepalese Himalaya were studied using remote sensing techniques and geographic information system. The study was carried out in two spatial scales: catchments scale and national scale. In catchments scale two catchments: Langtang and Khumbu were studied. Intermittent medium resolution satellite imageries (Landsat) were used to study the fluctuation in snow cover and glacier area in the two catchments. In the national scale study coarse resolution (MODIS) imageries were used to derive seasonal variations in snow cover. An indication of decreasing trend in snow cover is shown by this study, although this result needs verification with more data. The snowline elevation is in general higher in Khumbu compared to Langtang. In both catchments, snowline elevation are higher in east, south-east, south and south-west aspects. The areas of snow cover in those aspects are also greater.
    [Show full text]
  • Status of the Cordillera Vilcanota, Including the Quelccaya Ice Cap, Northern Central Andes, Peru
    The Cryosphere, 8, 359–376, 2014 Open Access www.the-cryosphere.net/8/359/2014/ doi:10.5194/tc-8-359-2014 The Cryosphere © Author(s) 2014. CC Attribution 3.0 License. Glacial areas, lake areas, and snow lines from 1975 to 2012: status of the Cordillera Vilcanota, including the Quelccaya Ice Cap, northern central Andes, Peru M. N. Hanshaw and B. Bookhagen Department of Geography, University of California, Santa Barbara, CA, USA Correspondence to: M. N. Hanshaw ([email protected]) Received: 14 December 2012 – Published in The Cryosphere Discuss.: 25 February 2013 Revised: 19 December 2013 – Accepted: 10 January 2014 – Published: 3 March 2014 Abstract. Glaciers in the tropical Andes of southern Peru as glacial regions have decreased, 77 % of lakes connected have received limited attention compared to glaciers in to glacial watersheds have either remained stable or shown other regions (both near and far), yet remain of vital im- a roughly synchronous increase in lake area, while 42 % of portance to agriculture, fresh water, and hydropower sup- lakes not connected to glacial watersheds have declined in plies of downstream communities. Little is known about area (58 % have remained stable). Our new and detailed data recent glacial-area changes and how the glaciers in this on glacial and lake areas over 37 years provide an important region respond to climate changes, and, ultimately, how spatiotemporal assessment of climate variability in this area. these changes will affect lake and water supplies. To rem- These data can be integrated into further studies to analyze edy this, we have used 158 multi-spectral satellite images inter-annual glacial and lake-area changes and assess hydro- spanning almost 4 decades, from 1975 to 2012, to ob- logic dependence and consequences for downstream popula- tain glacial- and lake-area outlines for the understudied tions.
    [Show full text]
  • Learning About Precipitation Orographic Enhancement from Snow-Course Data Improves Water-Balance Modeling
    https://doi.org/10.5194/hess-2020-571 Preprint. Discussion started: 26 November 2020 c Author(s) 2020. CC BY 4.0 License. Learning about precipitation orographic enhancement from snow-course data improves water-balance modeling Francesco Avanzi1, Giulia Ercolani1, Simone Gabellani1, Edoardo Cremonese2, Paolo Pogliotti2, Gianluca Filippa2, Umberto Morra di Cella2,1, Sara Ratto3, Hervè Stevenin3, Marco Cauduro4, and Stefano Juglair4 1CIMA Research Foundation, Via Armando Magliotto 2, 17100 Savona, Italy 2Climate Change Unit, Environmental Protection Agency of Aosta Valley, Loc. La Maladière, 48-11020 Saint-Christophe, Italy 3Regione Autonoma Valle d’Aosta, Centro funzionale regionale, Via Promis 2/a, 11100 Aosta, Italy 4Direzione Operativa Operations, C.V.A. S.p.A., Via Stazione 31, 11024 Châtillon, Italy Correspondence: Francesco Avanzi ([email protected]) Abstract. Precipitation orographic enhancement depends on both synoptic circulation and topography. Since high-elevation headwaters are often sparsely instrumented, the magnitude and distribution of this enhancement remain poorly understood. Filling this knowledge gap would allow a significant step ahead for hydrologic-forecasting procedures and water management in general. 5 Here, we hypothesized that spatially distributed, manual measurements of snow depth (courses) could provide new insights into this process. We leveraged 11,000+ snow-course data upstream two reservoirs in the Western European Alps (Aosta Valley, Italy) to estimate precipitation orographic enhancement in the form of lapse rates and consequently improve predictions of a snow-hydrologic modeling chain (Flood-PROOFS). We found that Snow Water Equivalent (SWE) above 3000 m ASL was between 2 and 8.5 times higher than recorded cumulative seasonal precipitation below 1000 m ASL, with gradients up to 1000 1 10 mm w.e.
    [Show full text]
  • Maps of Snow-Cover Probability for the Northern Hemisphere
    June 1967 R. R. Dickson and Julian Posey 347 MAPS OF SNOW-COVER PROBABILITY FOR THE NORTHERN HEMISPHERE R.R. DICKSON AND JULIAN POSEY Extended Forecast Division; NMC, Weather Bureau, ESSA, Washington, D.C. ABSTRACT Map analyses are provided depicting the probability of snow-cover 1 inch or more in depth at the end of each month from September through May for the Northern Hemisphere. 1. INTRODUCTION To supplement this primary data source, empirical snow-cover probabilities were computed for the 193 1-50 Recent work dealing with thermodynamic [l] and period for a network of 110 stations in the United States synoptic [8] aspects of long-range forecasting has em- from data included in US. Weather Bureau Station phasized the importance of considering the heat balance Record Books (available on microfilm from the Atmos- of the earth and the atmosphere when dealing with the pheric Sciences Library of ESSA) . Canadian snow-cover long-term evolution of the atmospheric circulation. data were extracted from a recent publication [lo]. This An important factor in such a heat balance is the albedo was augmented for May and September by data from of the earth’s surface and this in turn is critically depend- additional stations during 1940-64, obtained from monthly ent upon the snow-cover distribution. published records [5]. Thus a need exists for broadscale climatic analyses Analyses for China and Korea are based upon data depicting the areal extent of snow cover throughout the published by their respective meteorological offices [9] , [4]. year. While map analyses of average snow depth and Both sources give the a$erage number of days with snow average dates of first and last snowfall are readily available, cover for each month.
    [Show full text]
  • Case of Pindari Glacier Valley
    Topographical influences on high altitude forest line in the Indian Central Himalaya: Case of Pindari Glacier Valley Bhawana Soragi, Arti Joshi, and Subrat Sharma* G. B. Pant National Institute of Himalayan Environment and Sustainable Development Kosi-Katarmal, Almora, 263 643 Uttarakhand *[email protected] Keyword: Himalaya, Watersheds, Treeline, Satellite Image Abstract High altitudes of the Himalaya have been realized to more prone towards temperature increase due to global temperature rise while decrease in temperature limits the plant growth there. Altitudes in high mountains do not support tree growth beyond an elevation and termination of continuum of forests is often termed as forest line/timberline. This is a dynamic state which is influenced by local topography and geography on which a very little knowledge exists for the Himalayan region. This study focuses on the mapping of timberline, using high resolution satellite images, in a glaciated valley (Pindari Valley covering an area of 397.35 km2) having three glaciers (three valleys) in the Indian Central Himalaya. Three valleys exhibit a variation of ~1 km in highest elevation (3050-3970m amsl) of timberline which shows a buffering range for temperature escape for the tree species of timberline. Impact of robust topography will limit this expansion and limit of forest growth as apparent by the fact that about 62% of the area does not have vegetation (snow, glacier, rivers, rock, etc.) in an elevational zone of 4 km (2000-6600m amsl). Presently, vegetation (alpine, forest, and shrubs) are limited to 38% of the area. Timberline also varies considerably (570-700m) in three sub-watersheds of Pindar valley.
    [Show full text]
  • Northern Hemisphere Snow Extent: Regional Variability 1972-1994
    INTERNATIONAL JOURNAL OF CLIMATOLOGY Int. J. Climatol. 19: 1535–1560 (1999) NORTHERN HEMISPHERE SNOW EXTENT: REGIONAL VARIABILITY 1972–1994 ALLAN FREIa,* and DAVID A. ROBINSONb a CIRES/NSIDC, Uni6ersity of Colorado, Campus Box 449, Boulder, CO 80309, USA b Rutgers Uni6ersity, Department of Geography, New Brunswick, NJ 08903, USA Recei6ed 7 August 1997 Re6ised 11 March 1999 Accepted 13 March 1999 ABSTRACT Snow cover is an important hydrologic and climatic variable due to its effects on water supplies, and on energy and mass exchanges at the surface. We investigate the kinematics and climatology of Northern Hemisphere snow extent between 1972 and 1994, and associated circulation patterns. Interannual fluctuations of North American and Eurasian snow extents are driven by both hemispheric scale signals, as well as signals from smaller ‘coherent’ regions, within which interannual fluctuations of snow extent are highly correlated. These regions cover only 2–6% of the continental land area north of 20°N, yet during many months they explain more than 60% of the variance in continental snow extent. They are identified using Principal Components Analysis (PCA) of digitized snow extent charts obtained from the National Oceanic and Atmospheric Administration (NOAA). Significant month-to-month persistence is found over western North America and Europe during winter and spring. Geographically and seasonally dependent associations are identified between North American snow extent and atmospheric circulation patterns, surface air temperature, and snowfall. Over western North America, snow extent is associated with the longitudinal position of the North American ridge. Over eastern North America, snow extent is associated with a meridional oscillation in the 500-mb geopotential height field.
    [Show full text]
  • Glacier Mass Balance
    Summer school in Glaciology Fairbanks/McCarthy 7-17 June 2010 Regine Hock Geophysical Institute, University of Alaska, Fairbanks Glacier Mass Balance 1. Introduction: Definitions and processes Definition: Mass balance is the change in the mass of a glacier or ice body, or part thereof, over a stated span of time: t . "M = # Mdt t1 The term mass budget is a synonym. The span of time is often a year or a season. A seasonal mass balance is nearly always either a winter balance or a summer balance, although other kinds of season are appropriate in some climates, such as those of the tropics. The definition of “year” depends on the method adopted! for measurement of the balance (see Chap. 4). The (cumulative) mass balance, b, is the sum of accumulation, c, and ablation, a (the ablation is defined here as negative). The symbol, b (for point balances) and B (for glacierwide balances) has traditionally been used in studies of surface mass balance of valley glaciers. t . b = c + a = " (c+ a)dt t1 Mass balance is often treated as a rate, b or B dot. Accumulation Definition: ! 1. All processes that add to the mass of the glacier. 2. The mass gained by the operation of any of the processes of sense 1, expressed as a positive number. Components: • Snow fall (usually the most important). • Deposition of hoar (a layer of ice crystals, usually cup-shaped and facetted, formed by vapour transfer (sublimation followed by deposition) within dry snow beneath the snow surface), freezing rain, solid precipitation in forms other than snow (re-sublimation composes 5-10% of the accumulation on Ross Ice Shelf, Antarctica).
    [Show full text]
  • Compilation on Geography Questions
    IASbaba.com Compilation on Geography Questions 1. With regard to the Western Himalayas and the Eastern Himalayas, consider the following 1. The ranges of the Eastern Himalayas are more continuous compared to Western Himalayas 2. The Western Himalayas receive most of the precipitation in the winter months and the Eastern Himalayas in the summer months 3. Eastern Himalayas are much greener and dense compared to Western Himalayas Choose the correct answer using the codes below. 1. 1 and 2 only 2. 2 and 3 only 3. 1 and 3 only 4. All of the above Solution: 2 Western Himalaya refers to the western half of the Himalayan Mountain region, stretching from Badakhshan in northeastern Afghanistan/southern Tajikistan, through Kashmir to Nepal. Eastern Himalaya is situated between Central Nepal in the west and Myanmar in the east, occupying southeast Tibet in China, Sikkim, North Bengal, Bhutan and North-East India. The western himalayas consists of the most continuous range and the loftiest peaks and compared to eastern Himalayas. The western Himalayas receive more precipitation from northwest in the winters, and eastern Himalayas receive more precipitation from southeastern monsoon in the summers. Due to higher temperature and perception, the Eastern Himalayas are far greener with forests than the Western Himalaya. 2. Consider the following statements 1. The peninsular plateau is composed mainly of igneous and metamorphic rocks 2. The Garo, Khasi and Jaintia Hills form a part of peninsular block. 3. The peninsular plateau is the oldest and most stable landmass in India, devoid of earthquakes or volcanic activity. Iasbaba.com Page 1 IASbaba.com Choose the correct answer using the codes below.
    [Show full text]
  • Orographic Precipitation Patterns Resulting from the Canadian River Valley
    Orographic Precipitation Patterns Resulting from the Canadian River Valley Chris A. Kimble National Weather Service – Amarillo, Texas ABSTRACT This report will show that the Canadian River Valley can have a significant effect on precipitation patterns in the Texas Panhandle, especially during the cold season. Although the principles and physics associated with air flow across the valley are not new, the effect on precipitation in the Texas Panhandle has not yet been studied. This report will serve to document the effect that the Canadian River Valley has on cold season precipitation, and to recommend the use of orographic forecasting principles to forecasters in the entire High Plains region. Figure 1: Texas Panhandle Topography. Locations referenced in this report are labeled on the map. The high plains in the western Texas Panhandle are at about 4,000 feet above sea level on both the north and south sides of the Canadian River Valley. The valley is about 800 to 1,000 feet lower than the surrounding plains. 1 Canadian River Valley Chris A. Kimble 1.0 Introduction Forecasters have long been aware of the effects that terrain can have on precipitation patterns. Precipitation on the windward side of mountain ranges is much greater than that on the leeward side and in mountain valleys. The physical processes are well understood and applied operationally in forecasting in mountainous regions. Similar processes have also been observed to take place in other regions of the country not typically known for orographic precipitation. The Texas Panhandle is often thought of as a vast treeless plain. Flat grasslands extend as far as the eye can see.
    [Show full text]