Water in Atmosphere
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												  Chapter 5 Measures of Humidity Phases of WaterChapter 5 Atmospheric Moisture Measures of Humidity 1. Absolute humidity 2. Specific humidity 3. Actual vapor pressure 4. Saturation vapor pressure 5. Relative humidity 6. Dew point Phases of Water Water Vapor n o su ti b ra li o n m p io d a a at ep t v s o io e en s n d it n io o n c freezing Liquid Water Ice melting 1 Coexistence of Water & Vapor • Even below the boiling point, some water molecules leave the liquid (evaporation). • Similarly, some water molecules from the air enter the liquid (condense). • The behavior happens over ice too (sublimation and condensation). Saturation • If we cap the air over the water, then more and more water molecules will enter the air until saturation is reached. • At saturation there is a balance between the number of water molecules leaving the liquid and entering it. • Saturation can occur over ice too. Hydrologic Cycle 2 Air Parcel • Enclose a volume of air in an imaginary thin elastic container, which we will call an air parcel. • It contains oxygen, nitrogen, water vapor, and other molecules in the air. 1. Absolute Humidity Mass of water vapor Absolute humidity = Volume of air The absolute humidity changes with the volume of the parcel, which can change with temperature or pressure. 2. Specific Humidity Mass of water vapor Specific humidity = Total mass of air The specific humidity does not change with parcel volume. 3 Specific Humidity vs. Latitude • The highest specific humidities are observed in the tropics and the lowest values in the polar regions.
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												  3-1 Adiabatic CompressionSolution Physics 213 Problem 1 Week 3 Adiabatic Compression a) Last week, we considered the problem of isothermal compression: 1.5 moles of an ideal diatomic gas at temperature 35oC were compressed isothermally from a volume of 0.015 m3 to a volume of 0.0015 m3. The pV-diagram for the isothermal process is shown below. Now we consider an adiabatic process, with the same starting conditions and the same final volume. Is the final temperature higher, lower, or the same as the in isothermal case? Sketch the adiabatic processes on the p-V diagram below and compute the final temperature. (Ignore vibrations of the molecules.) α α For an adiabatic process ViTi = VfTf , where α = 5/2 for the diatomic gas. In this case Ti = 273 o 1/α 2/5 K + 35 C = 308 K. We find Tf = Ti (Vi/Vf) = (308 K) (10) = 774 K. b) According to your diagram, is the final pressure greater, lesser, or the same as in the isothermal case? Explain why (i.e., what is the energy flow in each case?). Calculate the final pressure. We argued above that the final temperature is greater for the adiabatic process. Recall that p = nRT/ V for an ideal gas. We are given that the final volume is the same for the two processes. Since the final temperature is greater for the adiabatic process, the final pressure is also greater. We can do the problem numerically if we assume an idea gas with constant α. γ In an adiabatic processes, pV = constant, where γ = (α + 1) / α.
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												  Insar Water Vapor Data Assimilation Into Mesoscale ModelThis article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 1 InSAR Water Vapor Data Assimilation into Mesoscale Model MM5: Technique and Pilot Study Emanuela Pichelli, Rossella Ferretti, Domenico Cimini, Giulia Panegrossi, Daniele Perissin, Nazzareno Pierdicca, Senior Member, IEEE, Fabio Rocca, and Bjorn Rommen Abstract—In this study, a technique developed to retrieve inte- an extremely important element of the atmosphere because its grated water vapor from interferometric synthetic aperture radar distribution is related to clouds, precipitation formation, and it (InSAR) data is described, and a three-dimensional variational represents a large proportion of the energy budget in the atmo- assimilation experiment of the retrieved precipitable water vapor into the mesoscale weather prediction model MM5 is carried out. sphere. Its representation inside numerical weather prediction The InSAR measurements were available in the framework of the (NWP) models is critical to improve the weather forecast. It is European Space Agency (ESA) project for the “Mitigation of elec- also very challenging because water vapor is involved in pro- tromagnetic transmission errors induced by atmospheric water cesses over a wide range of spatial and temporal scales. An vapor effects” (METAWAVE), whose goal was to analyze and pos- improvement in atmospheric water vapor monitoring that can sibly predict the phase delay induced by atmospheric water vapor on the spaceborne radar signal. The impact of the assimilation on be assimilated in NWP models would improve the forecast the model forecast is investigated in terms of temperature, water accuracy of precipitation and severe weather [1], [3].
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												  Soaring WeatherChapter 16 SOARING WEATHER While horse racing may be the "Sport of Kings," of the craft depends on the weather and the skill soaring may be considered the "King of Sports." of the pilot. Forward thrust comes from gliding Soaring bears the relationship to flying that sailing downward relative to the air the same as thrust bears to power boating. Soaring has made notable is developed in a power-off glide by a conven contributions to meteorology. For example, soar tional aircraft. Therefore, to gain or maintain ing pilots have probed thunderstorms and moun altitude, the soaring pilot must rely on upward tain waves with findings that have made flying motion of the air. safer for all pilots. However, soaring is primarily To a sailplane pilot, "lift" means the rate of recreational. climb he can achieve in an up-current, while "sink" A sailplane must have auxiliary power to be denotes his rate of descent in a downdraft or in come airborne such as a winch, a ground tow, or neutral air. "Zero sink" means that upward cur a tow by a powered aircraft. Once the sailcraft is rents are just strong enough to enable him to hold airborne and the tow cable released, performance altitude but not to climb. Sailplanes are highly 171 r efficient machines; a sink rate of a mere 2 feet per second. There is no point in trying to soar until second provides an airspeed of about 40 knots, and weather conditions favor vertical speeds greater a sink rate of 6 feet per second gives an airspeed than the minimum sink rate of the aircraft.
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												  Thermodynamics Formulation of Economics Burin Gumjudpai AThermodynamics Formulation of Economics 306706052 NIDA E-THESIS 5710313001 thesis / recv: 09012563 15:07:41 seq: 16 Burin Gumjudpai A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Economics (Financial Economics) School of Development Economics National Institute of Development Administration 2019 Thermodynamics Formulation of Economics Burin Gumjudpai School of Development Economics Major Advisor (Associate Professor Yuthana Sethapramote, Ph.D.) The Examining Committee Approved This Thesis Submitted in Partial 306706052 Fulfillment of the Requirements for the Degree of Master of Economics (Financial Economics). Committee Chairperson NIDA E-THESIS 5710313001 thesis / recv: 09012563 15:07:41 seq: 16 (Assistant Professor Pongsak Luangaram, Ph.D.) Committee (Assistant Professor Athakrit Thepmongkol, Ph.D.) Committee (Associate Professor Yuthana Sethapramote, Ph.D.) Dean (Associate Professor Amornrat Apinunmahakul, Ph.D.) ______/______/______ ABST RACT ABSTRACT Title of Thesis Thermodynamics Formulation of Economics Author Burin Gumjudpai Degree Master of Economics (Financial Economics) Year 2019 306706052 We consider a group of information-symmetric consumers with one type of commodity in an efficient market. The commodity is fixed asset and is non-disposable. We are interested in seeing if there is some connection of thermodynamics formulation NIDA E-THESIS 5710313001 thesis / recv: 09012563 15:07:41 seq: 16 to microeconomics. We follow Carathéodory approach which requires empirical existence of equation of state (EoS) and coordinates before performing maximization of variables. In investigating EoS of various system for constructing the economics EoS, unexpectedly new insights of thermodynamics are discovered. With definition of truly endogenous function, criteria rules and diagrams are proposed in identifying the status of EoS for an empirical equation.
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												  Chapter 7: Stability and Cloud DevelopmentChapter 7: Stability and Cloud Development A parcel of air: Air inside can freely expand or contract, but heat and air molecules do not cross boundary. A rising parcel of air expands because the air pressure falls with elevation. This expansion causes cooling: (Adiabatic cooling) V V V-2v V v Wall Stationary Wall Moving Away An air molecule that strikes an expanding wall will lose speed on bouncing off wall (temperature of air will fall) V V+2v v Wall Moving Toward A falling parcel of air contracts because it encounters higher pressure. This falling air heats up because of compression. Stability: If rising air cools more quickly due to expansion than the environmental lapse rate, it will be denser than its surroundings and tend to fall back down. 10°C Definitions: Dry adiabatic rate = 1000 m 10°C Moist adiabatic rate : smaller than because of release of latent heat during 1000 m condensation (use 6° C per 1000m for average) Rising air that cools past dew point will not cool as quickly because of latent heat of condensation. Same compensating effect for saturated, falling air : evaporative cooling from water droplets evaporating reduces heating due to compression. Summary: Rising air expands & cools Falling air contracts & warms 10°C Unsaturated air cools as it rises at the dry adiabatic rate (~ ) 1000 m 6°C Saturated air cools at a lower rate, ~ , because condensing water vapor heats air. 1000 m This is moist adiabatic rate. Environmental lapse rate is rate that air temperature falls as you go up in altitude in the troposphere.
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												  Chapter 8 Atmospheric Statics and StabilityChapter 8 Atmospheric Statics and Stability 1. The Hydrostatic Equation • HydroSTATIC – dw/dt = 0! • Represents the balance between the upward directed pressure gradient force and downward directed gravity. ρ = const within this slab dp A=1 dz Force balance p-dp ρ p g d z upward pressure gradient force = downward force by gravity • p=F/A. A=1 m2, so upward force on bottom of slab is p, downward force on top is p-dp, so net upward force is dp. • Weight due to gravity is F=mg=ρgdz • Force balance: dp/dz = -ρg 2. Geopotential • Like potential energy. It is the work done on a parcel of air (per unit mass, to raise that parcel from the ground to a height z. • dφ ≡ gdz, so • Geopotential height – used as vertical coordinate often in synoptic meteorology. ≡ φ( 2 • Z z)/go (where go is 9.81 m/s ). • Note: Since gravity decreases with height (only slightly in troposphere), geopotential height Z will be a little less than actual height z. 3. The Hypsometric Equation and Thickness • Combining the equation for geopotential height with the ρ hydrostatic equation and the equation of state p = Rd Tv, • Integrating and assuming a mean virtual temp (so it can be a constant and pulled outside the integral), we get the hypsometric equation: • For a given mean virtual temperature, this equation allows for calculation of the thickness of the layer between 2 given pressure levels. • For two given pressure levels, the thickness is lower when the virtual temperature is lower, (ie., denser air). • Since thickness is readily calculated from radiosonde measurements, it provides an excellent forecasting tool.
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												  Potential VorticityPOTENTIAL VORTICITY Roger K. Smith March 3, 2003 Contents 1 Potential Vorticity Thinking - How might it help the fore- caster? 2 1.1Introduction............................ 2 1.2WhatisPV-thinking?...................... 4 1.3Examplesof‘PV-thinking’.................... 7 1.3.1 A thought-experiment for understanding tropical cy- clonemotion........................ 7 1.3.2 Kelvin-Helmholtz shear instability . ......... 9 1.3.3 Rossby wave propagation in a β-planechannel..... 12 1.4ThestructureofEPVintheatmosphere............ 13 1.4.1 Isentropicpotentialvorticitymaps........... 14 1.4.2 The vertical structure of upper-air PV anomalies . 18 2 A Potential Vorticity view of cyclogenesis 21 2.1PreliminaryIdeas......................... 21 2.2SurfacelayersofPV....................... 21 2.3Potentialvorticitygradientwaves................ 23 2.4 Baroclinic Instability . .................... 28 2.5 Applications to understanding cyclogenesis . ......... 30 3 Invertibility, iso-PV charts, diabatic and frictional effects. 33 3.1 Invertibility of EPV ........................ 33 3.2Iso-PVcharts........................... 33 3.3Diabaticandfrictionaleffects.................. 34 3.4Theeffectsofdiabaticheatingoncyclogenesis......... 36 3.5Thedemiseofcutofflowsandblockinganticyclones...... 36 3.6AdvantageofPVanalysisofcutofflows............. 37 3.7ThePVstructureoftropicalcyclones.............. 37 1 Chapter 1 Potential Vorticity Thinking - How might it help the forecaster? 1.1 Introduction A review paper on the applications of Potential Vorticity (PV-) concepts by Brian
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												  Atmospheric Stability Atmospheric Lapse RateATMOSPHERIC STABILITY ATMOSPHERIC LAPSE RATE The atmospheric lapse rate ( ) refers to the change of an atmospheric variable with a change of altitude, the variable being temperature unless specified otherwise (such as pressure, density or humidity). While usually applied to Earth's atmosphere, the concept of lapse rate can be extended to atmospheres (if any) that exist on other planets. Lapse rates are usually expressed as the amount of temperature change associated with a specified amount of altitude change, such as 9.8 °Kelvin (K) per kilometer, 0.0098 °K per meter or the equivalent 5.4 °F per 1000 feet. If the atmospheric air cools with increasing altitude, the lapse rate may be expressed as a negative number. If the air heats with increasing altitude, the lapse rate may be expressed as a positive number. Understanding of lapse rates is important in micro-scale air pollution dispersion analysis, as well as urban noise pollution modeling, forest fire-fighting and certain aviation applications. The lapse rate is most often denoted by the Greek capital letter Gamma ( or Γ ) but not always. For example, the U.S. Standard Atmosphere uses L to denote lapse rates. A few others use the Greek lower case letter gamma ( ). Types of lapse rates There are three types of lapse rates that are used to express the rate of temperature change with a change in altitude, namely the dry adiabatic lapse rate, the wet adiabatic lapse rate and the environmental lapse rate. Dry adiabatic lapse rate Since the atmospheric pressure decreases with altitude, the volume of an air parcel expands as it rises.
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												  ESSENTIALS of METEOROLOGY (7Th Ed.) GLOSSARYESSENTIALS OF METEOROLOGY (7th ed.) GLOSSARY Chapter 1 Aerosols Tiny suspended solid particles (dust, smoke, etc.) or liquid droplets that enter the atmosphere from either natural or human (anthropogenic) sources, such as the burning of fossil fuels. Sulfur-containing fossil fuels, such as coal, produce sulfate aerosols. Air density The ratio of the mass of a substance to the volume occupied by it. Air density is usually expressed as g/cm3 or kg/m3. Also See Density. Air pressure The pressure exerted by the mass of air above a given point, usually expressed in millibars (mb), inches of (atmospheric mercury (Hg) or in hectopascals (hPa). pressure) Atmosphere The envelope of gases that surround a planet and are held to it by the planet's gravitational attraction. The earth's atmosphere is mainly nitrogen and oxygen. Carbon dioxide (CO2) A colorless, odorless gas whose concentration is about 0.039 percent (390 ppm) in a volume of air near sea level. It is a selective absorber of infrared radiation and, consequently, it is important in the earth's atmospheric greenhouse effect. Solid CO2 is called dry ice. Climate The accumulation of daily and seasonal weather events over a long period of time. Front The transition zone between two distinct air masses. Hurricane A tropical cyclone having winds in excess of 64 knots (74 mi/hr). Ionosphere An electrified region of the upper atmosphere where fairly large concentrations of ions and free electrons exist. Lapse rate The rate at which an atmospheric variable (usually temperature) decreases with height. (See Environmental lapse rate.) Mesosphere The atmospheric layer between the stratosphere and the thermosphere.
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												  TABLE A-2 Properties of Saturated Water (Liquid–Vapor): Temperature Table Specific Volume Internal Energy Enthalpy Entropy # M3/Kg Kj/Kg Kj/Kg Kj/Kg K Sat720 Tables in SI Units TABLE A-2 Properties of Saturated Water (Liquid–Vapor): Temperature Table Specific Volume Internal Energy Enthalpy Entropy # m3/kg kJ/kg kJ/kg kJ/kg K Sat. Sat. Sat. Sat. Sat. Sat. Sat. Sat. Temp. Press. Liquid Vapor Liquid Vapor Liquid Evap. Vapor Liquid Vapor Temp. Њ v ϫ 3 v Њ C bar f 10 g uf ug hf hfg hg sf sg C O 2 .01 0.00611 1.0002 206.136 0.00 2375.3 0.01 2501.3 2501.4 0.0000 9.1562 .01 H 4 0.00813 1.0001 157.232 16.77 2380.9 16.78 2491.9 2508.7 0.0610 9.0514 4 5 0.00872 1.0001 147.120 20.97 2382.3 20.98 2489.6 2510.6 0.0761 9.0257 5 6 0.00935 1.0001 137.734 25.19 2383.6 25.20 2487.2 2512.4 0.0912 9.0003 6 8 0.01072 1.0002 120.917 33.59 2386.4 33.60 2482.5 2516.1 0.1212 8.9501 8 10 0.01228 1.0004 106.379 42.00 2389.2 42.01 2477.7 2519.8 0.1510 8.9008 10 11 0.01312 1.0004 99.857 46.20 2390.5 46.20 2475.4 2521.6 0.1658 8.8765 11 12 0.01402 1.0005 93.784 50.41 2391.9 50.41 2473.0 2523.4 0.1806 8.8524 12 13 0.01497 1.0007 88.124 54.60 2393.3 54.60 2470.7 2525.3 0.1953 8.8285 13 14 0.01598 1.0008 82.848 58.79 2394.7 58.80 2468.3 2527.1 0.2099 8.8048 14 15 0.01705 1.0009 77.926 62.99 2396.1 62.99 2465.9 2528.9 0.2245 8.7814 15 16 0.01818 1.0011 73.333 67.18 2397.4 67.19 2463.6 2530.8 0.2390 8.7582 16 17 0.01938 1.0012 69.044 71.38 2398.8 71.38 2461.2 2532.6 0.2535 8.7351 17 18 0.02064 1.0014 65.038 75.57 2400.2 75.58 2458.8 2534.4 0.2679 8.7123 18 19 0.02198 1.0016 61.293 79.76 2401.6 79.77 2456.5 2536.2 0.2823 8.6897 19 20 0.02339 1.0018 57.791 83.95 2402.9 83.96 2454.1 2538.1 0.2966 8.6672 20 21 0.02487 1.0020
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												  The First Law of Thermodynamics Continued Pre-Reading: §19.5 Where We AreLecture 7 The first law of thermodynamics continued Pre-reading: §19.5 Where we are The pressure p, volume V, and temperature T are related by an equation of state. For an ideal gas, pV = nRT = NkT For an ideal gas, the temperature T is is a direct measure of the average kinetic energy of its 3 3 molecules: KE = nRT = NkT tr 2 2 2 3kT 3RT and vrms = (v )av = = r m r M p Where we are We define the internal energy of a system: UKEPE=+∑∑ interaction Random chaotic between atoms motion & molecules For an ideal gas, f UNkT= 2 i.e. the internal energy depends only on its temperature Where we are By considering adding heat to a fixed volume of an ideal gas, we showed f f Q = Nk∆T = nR∆T 2 2 and so, from the definition of heat capacity Q = nC∆T f we have that C = R for any ideal gas. V 2 Change in internal energy: ∆U = nCV ∆T Heat capacity of an ideal gas Now consider adding heat to an ideal gas at constant pressure. By definition, Q = nCp∆T and W = p∆V = nR∆T So from ∆U = Q W − we get nCV ∆T = nCp∆T nR∆T − or Cp = CV + R It takes greater heat input to raise the temperature of a gas a given amount at constant pressure than constant volume YF §19.4 Ratio of heat capacities Look at the ratio of these heat capacities: we have f C = R V 2 and f + 2 C = C + R = R p V 2 so C p γ = > 1 CV 3 For a monatomic gas, CV = R 3 5 2 so Cp = R + R = R 2 2 C 5 R 5 and γ = p = 2 = =1.67 C 3 R 3 YF §19.4 V 2 Problem An ideal gas is enclosed in a cylinder which has a movable piston.