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.
32.
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 ).
33.
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 ).
34.
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.
35.
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.
36.
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.
37.
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.
38.
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.
39.
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)
40.
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.
