adiabatic lapse rate वाक्य
उदाहरण वाक्य
मोबाइल
- The climate becomes colder at high elevations this characteristic is described by the dry adiabatic lapse rate is 10 �C per km ( 5.5 �F per 1000 ft ) of elevation or altitude.
- The rate of decrease of temperature with elevation is known as the adiabatic lapse rate, which is approximately 9.8 �C per kilometer ( or 5.4 �F per 1000 feet ) of altitude.
- The rate of decrease of temperature with elevation is known as the adiabatic lapse rate, which is approximately 9.8 �C per kilometre ( or 5.4 �F per 1000 feet ) of altitude.
- If the adiabatic lapse rate is " lower " than the ambient lapse rate, an air mass displaced upward cools " less " rapidly than the air in which it is moving.
- Once the CCL is determined, the surface temperature necessary to raise a mass of air to that height can be found by using the Dry Adiabatic Lapse Rate ( DALR ) to determine the potential temperature.
- The dry adiabatic lapse rate accounts for the effect of the expansion of dry air as it rises in the atmosphere and wet adiabatic lapse rates includes the effect of the condensation of water vapor on the lapse rate.
- The dry adiabatic lapse rate accounts for the effect of the expansion of dry air as it rises in the atmosphere and wet adiabatic lapse rates includes the effect of the condensation of water vapor on the lapse rate.
- The environmental lapse rate ( the actual rate at which temperature drops with height, dT / dz ) is not usually equal to the adiabatic lapse rate ( or correspondingly, dS / dz \ ne 0 ).
- Conversely, if the adiabatic lapse rate is " higher " than the ambient lapse rate, an air mass displaced upward cools " more " rapidly than the air in which it is moving.
- In the Himalayas, the rate at which an air mass's temperature falls per kilometre ( 3, 281 ft ) of altitude gained ( the dry adiabatic lapse rate ) is 9.8 �C / km.
- Using the dry adiabatic lapse rate of around 10 �C ( 18 �F ) per kilometer, a theoretical temperature of an area below sea level would be about 40 �C ( 72 �F ) warmer than the temperature at sea level.
- The usual way of finding the LFC is to lift a parcel from a lower level along the dry adiabatic lapse rate until it crosses the mixing ratio line of the parcel : this is the lifted condensation level ( LCL ).
- When the air contains little water, this lapse rate is known as the dry adiabatic lapse rate : the rate of temperature decrease is ( per 1, 000 ft ) ( 3.0 �C / 1, 000 ft ).
- Because the saturated adiabatic lapse rate is 4.9 �C / 1, 000 m for temperatures above freezing, the tree line and the snow line were around 3, 000 m ( 9, 900 ft ) lower at this time.
- If the upper air is warmer than predicted by the adiabatic lapse rate ( dS / dz > 0 ), then when a parcel of air rises and expands, it will arrive at the new height at a lower temperature than its surroundings.
- If, on the contrary, the upper air is cooler than predicted by the adiabatic lapse rate, then when the air parcel rises to its new height it will have a higher temperature and a lower density than its surroundings, and will continue to accelerate upward.
- If the environmental lapse rate is larger than the dry adiabatic lapse rate, it has a superadiabatic lapse rate, the air is absolutely unstable a parcel of air will gain buoyancy as it rises both below and above the lifting condensation level or convective condensation level.
- If the environmental lapse rate is between the moist and dry adiabatic lapse rates, the air is conditionally unstable an unsaturated parcel of air does not have sufficient buoyancy to rise to the LCL or CCL, and it is stable to weak vertical displacements in either direction.
- Is the " environmental lapse rate " the observed lapse rate at a particular location while the " adiabatic lapse rate " is the predicted rate due to the modeled adiabatic processes which are the major factor ?-- talk ) 07 : 25, 20 January 2013 ( UTC)
- Although all the datasets show the expected tropospheric amplification at seasonal and annual timescales it is still debated whether or not the long term trends are consistent with the expected moist adiabatic lapse rate amplification due to difficulty of producing homogenized datasets, some satellite temperature reconstruction are consistent with the expected amplification while others are not.
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