Hydrology Evaporation

Size: px
Start display at page:

Download "Hydrology Evaporation"

Transcription

1 Hydrology Evaporation Prof. Dr. Christoph Külls, Hydrology and Water Management, Laboratory for Hydrology

2 2 Hydrologie Content 1. Introduction 2. Motivation 3. Basics 4. Measurement of Evaporation 5. Estimation 6. Wind Profile Method 7. Temperature Methods 8. Energy Balance Method 9. Energy and Mass Transfer 10. Combined Equations 11. Actual Evaporation 12. References

3 3 Introduction Objectives To learn about... types of evaporation estimation of evaporation measurement of evaporation Basics to understand evaporation Physical background Hydrological Relevance Application

4 4 Motivation Evaporation Relevance Evaporation is a major component of the water balance accounting for about 60 to 70 % of the annual water balance in mid-latitudes and up to 99 % in arid climates. It is therefore of imminent importance to estimate evaporation for... irrigation projects management of water resources under changing climate management of reservoirs Evaporation only plays a very minor in relation to floods. Only in very long rivers in arid zones evaporation has a significant effect on discharge along the river profile.

5 Basics 5 Physical background

6 6 Basics Atmospheric parameters with ɛ = ρ v ρ d q = ρ v ρ ɛ ρ v ρ d ρ q Mixing Ratio vapour density density of dry air ρ = ρ v + ρ d specific moisture content rf = m m m rf Mixing ratio specific moisture content

7 7 Basics Barometric Pressure vs. Altitude Equation: where P = ( z)5.26 [kpa] 293 P z atmospheric pressure [kpa] elevation above sea level [m]

8 8 Basics Pressure profile Altitude vs. Pressure Pressure [kpa] Altitude

9 9 Basics International Barometric Function Altitude vs. Pressure Equation: P = p 0 [ p 0 = hPa K m h K ] [hpa] where P h K atmospheric pressure [kpa] elevation above sea level [m] temperature in [K]

10 10 Basics Pressure with International Barometric Equation Pressure [hpa] Altitude

11 11 Basics Saturated Vapour Pressure Clasius-Clapeyron e s = (7.48 T /(237+T )) [hpa] (1) e a = rh e s [hpa] (2) (3) e s e a T saturated vapour pressure [hpa] actual vapour pressure [hpa] Temperature in degrees Celsius

12 12 Basics Vapour pressure Magnus-Formula Dampfdruck in hpa Temperatur in Celsius Figure: Vapour pressure calculated with Python

13 13 Basics Programming in Python 1: import numpy as np 2: import matplotlib.pyplot as plt # Create an array of 100 # linearly-spaced points from 0 to 35 3: T = np.linspace(0,35,350) 4: es = 6.11*10^(7.48*T/(237+T)) 5: plt.plot(t,es) 6: plt.savefig( figure/tes.png )

14 14 Basics Saturated Vapour Pressure Clasius-Clapeyron e s = exp(17.27 T /( T )) [kpa] (4) e s T saturated vapour pressure [kpa] Temperature in degrees Celsius

15 15 Basics Programming in R 1: T<-seq(0,35,1.0) 2: es< *exp(17.27*t/(237+t)) 3: plot(t,es,xlab="temperature in Celsius", ylab="vapour pressure in kpa", xlim=c(0, 35), ylim=c(0, 10), pch=1, lty=1, col="blue", axes=false) 4: axis(1, seq(0,35,5)) 5: axis(2, seq(0,10,2)) 6: grid (NULL,NULL, lty = 3, col = "grey") 7: curve(0.6108*exp(17.27*x/(237.3+x)), add = TRUE)

16 16 Basics Vapour pressure Dependency on temperature Dampfdruck in kpa Temperatur in Celsius Figure: Vapour pressure as a function of temperature

17 17 Basics Relative Humidity Relative humidity rf is the percentage of actual humidity e a in relation to potential humidity e s at temperature T : rf = e a /e s [%] The moisture saturation deficit d is defined as: d = (e s e a ) in [hpa]

18 18 Basics Psychrometric Constant γ Psychrometric constant γ is defined as: γ = c p P λ ɛ [kpa] = P[kPa] with γ Psychrometric constant [] c p specific heat at const. pressure [MJ kg 1 C 1 ] λ latent heat of vaporization [MJ kg 1 ] ɛ ratio of molecular weight of vapour dry air [ɛ = 0.622]

19 19 Basics Gradient of saturated vapour pressure curve = 4098 e s T (5) e s T gradient of sat. vapour pressure curve saturated vapour pressure [kpa] Temperature in degrees Celsius

20 Measurement of Evaporation 20 Instruments and Methods

21 21 Measurement of Evaporation Measurement Methods Water Balance Figure: Water Balance-based methods to determine evaporation, source: Shuttleworth (2008)

22 22 Measurement of Evaporation Measurement Methods Vapour Transport Figure: Vapour transport-based methods to determine evaporation, source: Shuttleworth (2008)

23 23 Measurement of Evaporation Measurement Methods Large Scale Figure: Large scale methods to determine evaporation, source: Shuttleworth (2008)

24 24 Measurement of Evaporation Measurement Methods Pans Figure: Pans

25 25 Measurement of Evaporation Measurement of Evaporation Class A pan Wood as support 15 cm Defined diameter cm Water level 5-7 cm below rim Water depth ca. 25 cm Measurement of rainfall Wave protection Protection against animals (grid)

26 26 Measurement of Evaporation Measurement of Evaporation Correction Factors E pot = f c E pan correction factor depends on wind and humidity and surrounding source: FAO, paper 24 65

27 27 Measurement of Evaporation Measurement of Evaporation Example

28 28 Measurement of Evaporation Measurement of Evaporation Sunken pan E pot = f c E pan correction factor source: John Rich,

29 29 Measurement of Evaporation Measurement of Evaporation Sunken pan source: Gangopadhyaya

30 30 Measurement of Evaporation Measurement of Evaporation, Lysimeter Lysimeter, UMS Meter

31 31 Measurement of Evaporation Measurement of Evaporation, Lysimeter Systems Lysimeter, UMS Meter

32 Estimation 32 Methods for the Estimation or Measurement of Evaporation

33 33 Estimation Factors Evaporation depends on... Air exchange, wind, advection Moisture saturation deficit of air Available energy as obtained from the energy balance Key physical parameters are temperature and relative humidity. Wind speed is a parameter for air exchange and advection. Energy balances are only included in physical formulae, most empirical formulae rely on temperature, relative humidity and wind speed, some also on seasonal indices.

34 34 Estimation Estimation Methods - Overview Calculation Dalton-type Empirical formulae Blaney-Criddle Turc Thorntwaite Hargreaves Water balance of basins Energy balance Bowen ratio Penman-Monteith Priestley-Taylor Measurement Class A-pan, evaporimeters Profile method: T, v, e profiles Sap flux measurements Eddy flux correlation Lysimeters Lake studies Basin studies Isotope methods

35 35 Estimation Dalton Formula One of the earliest approaches to estimate evaporation has been proposed by Dalton (1802) [1]. The formula proposed relates evaporation to saturation deficit E s E a and an advection term a. E = f D (e s e a ) with evaporation E in mm, saturated vapour pressure e s and actual vapour pressure e a. The factor f D depends on wind speed.

36 36 Estimation Haude formula Haude [2] proposed an adaption of the Dalton formula to regional conditions in Germany. The same author proposed advection term factors for Egypt. For the application of this formula measurements of temperature and relative humidity at 2 p.m. are needed. E = f H [e s (T 14 ) rf 14 e s (T 14 )] [mm/d] (6) For a green lawn in October f H = 0.2.

37 Estimation 37 Table: Haude Factors Month pasture lawn corn deciduous trees pine trees Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

38 38 Estimation DVWK formula The German Association of Hydrologists recomends the DVWK method: E = B f (v) (e s e a ) [mm/d] (7) The saturated vapour pressure e s and actual vapour pressure e a are given in hpa. B is a factor for surface roughness; B = For rough surfaces with a fetch < 20 m, B can increase to B = The wind function is simply given by f (v) in m/s.

39 Wind Profile Method 39 Boundary Layer Physics

40 40 Wind Profile Method Wind Profiles Surface Roughness and Fetch Figure: Wind profiles over different surfaces

41 41 Wind Profile Method Logarithmic Law Kinney & Merwade, 2007

42 42 Wind Profile Method Derivation of Profile Method Momentum Transfer Kinney & Merwade, 2007

43 43 Wind Profile Method Derivation of Profile Method Merge with Wind Profile Kinney & Merwade 2007

44 44 Wind Profile Method Derivation of Profile Method Solve and Simplify prepared by Kinney & Merwade, 2007

45 45 Wind Profile Method Aerodynamic Method E a = B (e s e a ) [mm/day] (8) e s = (7.48 T /(237+T )) [hpa] (9) e a = rh e s [hpa] (10) B = u 2 2 (11) ln (z 2 /z 0 ) E a e s e a T u 2 z 2 z 0 Evaporation by energy [mm/d] saturated vapour pressure [hpa] actual vapour pressure [hpa] Temperature in degrees Celsius wind speed at 2m height [m/s] height 2m [m] roughness height m [m]

46 Temperature Methods 46 Temperature-based Methods

47 47 Temperature Methods Empirical formulae Blaney-Criddle The Blaney-Criddle formula relies on day light percentage and temperature: with ET = p (0.46 T ) ET T p i potentia evaporation in cm/month, air temperature in degrees Celsius annual daylight percentage of every month

48 48 Temperature Methods Empirical formulae Hamon The Hamon formula relies on day length and temperature: where ( ) e s E p = K N T ( ) T e s = exp T ET potential evaporation in mm/day, e s saturated vapour pressure mbar k empirical coefficient = 1.0 [-] N daylight hours [h] e s saturated vapour pressure in [kpa] T average temperature in degree Celsius (12) (13)

49 49 Temperature Methods Empirical formulae Hargreaves The Hargreaves formula relies on temperature and extraterrestrial radiation: ET = R a (T ) TR 0.50 (14) where ET potential evaporation in mm/day R a extraterrestrial radiation [MJm 2 day 1 ] T average temperature in degree Celsius TR temperature range in degree Celsius

50 Energy Balance Method 50 Energy Balance & Lake Evaporation

51 51 Energy Balance Method Energy Balance of a Lake Q 0 = Q s Q r + Q a Q ar Q bs + Q v Q e Q h Q w where Q 0 energy balance [W /m 2 ] Q s energy from sun (short wave in) [W /m 2 ] Q r energy reflected (short wave out) [W /m 2 ] Q a energy from atmosphere (long wave in) [W /m 2 ] Q ar energy reflected (long wave) [W /m 2 ] Q bs energy emitted from water (long wave) [W /m 2 ] Q e energy transferred by evaporation [W /m 2 ] Q h energy transferred by sensible heat [W /m 2 ] Q v energy advected [W /m 2 ] Q w energy advected by evaporated water [W /m 2 ]

52 52 Energy Balance Method Radiation Balance where R f = Q s Q sr + Q a Q ar Q bs = Q s α s Q s + Q a α l Q a Q bs = Q s (1 α s ) + Q a (1 α l ) Q bs R f radiation balance [W /m 2 ] Q s energy from sun (short wave in) [W /m 2 ] Q sr energy reflected (short wave out) [W /m 2 ] Q a energy from atmosphere (long wave in) [W /m 2 ] Q ar energy reflected (long wave) [W /m 2 ] Q bs energy emitted from water (long wave) [W /m 2 ] α s short wave albedo [-] α l long wave albedo [-]

53 53 Energy Balance Method Long Wave Emission Q bs = 0.97 σ T 4 Q bs energy emitted from water (long wave) [W /m 2 ] σ Stefan-Boltzmann Constant [W m 2 K 4 ] T Temperature in Kelvin [K] The value 0.97 results from the emissivity of water (which is very high for long wave radiation, namely 0.97).

54 54 Energy Balance Method Advected Energy by Evaporation Q w = c p Q e (T e T b ) λ Q w energy advected by evaporation [W /m 2 ] Q e latent energy transfer [W /m 2 ] Q h sensible energy transfer [W /m 2 ] c p specific heat of water [J/kgC] latent energy of evaporation 2260[kJ/kg] T e temperature of water temperature of arbitrary datum T b

55 55 Energy Balance Method Bowen Ratio B = Q h Q e B Q e Q h Bowen ratio latent heat transfer sensible heat transfer

56 56 Energy Balance Method Energy for Evaporation Q e = Q s Q r + Q a Q ar Q bs Q 0 + Q v 1 + B + c p (T e T b )/λ Q e energy transferred by evaporation [W /m 2 ] Q s energy from sun (short wave in) [W /m 2 ] Q r energy reflected (short wave out) [W /m 2 ] Q a energy from atmosphere (long wave in) [W /m 2 ] Q ar energy reflected (long wave) [W /m 2 ] Q bs energy emitted from water (long wave) [W /m 2 ] Q 0 energy balance [W /m 2 ] Q v energy advected [W /m 2 ] B Bowen ratio c p specific heat of water [J/kgC] T e, T b current and reference temperature of water λ latent energy of evaporation 2260[kJ/kg]

57 57 Energy Balance Method Energy for Evaporation E = Q e ρ λ = Q s Q r + Q a Q ar Q bs Q 0 + Q v ρ λ (1 + B) + c p (T e T b ) Q s energy from sun (short wave in) [W /m 2 ] Q r energy reflected (short wave out) [W /m 2 ] Q a energy from atmosphere (long wave in) [W /m 2 ] Q ar energy reflected (long wave) [W /m 2 ] Q bs energy emitted from water (long wave) [W /m 2 ] Q 0 energy balance [W /m 2 ] Q v energy advected [W /m 2 ] B Bowen ratio c p specific heat of water [J/kgC] T e, T b temperature of water ρ density of water in kg/dm 3 λ latent energy of evaporation 2260[kJ/kg]

58 Energy and Mass Transfer 58 Energy, Radiation and Mass Transfer

59 59 Energy and Mass Transfer Energy Method for Terrestrial Surface E r = R n /(λ ρ) (15) λ = T [MJ/kg] = (16) R n = R i (1 α) R e (17) R e = e σ Tp 4 (18) E r Evaporation by energy [mm/d] R n incoming radiation [W /m 2 ] λ latent heat of evaporation in [W ] T Temperature in degrees Celsius ρ density of water in [kg/dm 3 ] R n, R i net and total incoming radiation [W /m 2 ]

60 60 Energy and Mass Transfer Calculation of Incoming Radiation R G = G sc d r π [ω sin(φ) sin(δ) + cos(φ) cos(δ) sin(ω s )] R G extraterrestrial radiation [MJ m 2 day 1 ] G sc solar constant = [MJ m 2 min 1 ] d r inverse relative distance earth-sun ω s sunset hour angle [rad]) φ latitude [rad] δ solar decimation [rad]

61 61 Energy and Mass Transfer Converting decimal degrees to radians rad = π 180 d The variable d represents decimal degrees. For the northern hemisphere degrees in decimal degrees are positive for the southern hemisphere they are entered as negative values.

62 Energy and Mass Transfer 62 Table: Radians degrees rad

63 63 Energy and Mass Transfer Inverse Relative Distance Earth-Sun d r = cos ( ) 2π 365 J J is the Julian day commencing with J=1 on the first of January and ending with J=365 on the 31 st of December.

64 Energy and Mass Transfer 64 Table: Inverse Distance Earth Sun Month Julian Day relative inverse distance earth sun January February March April May June July August September October November Dezember New Year

65 65 Energy and Mass Transfer Inverse Relative Distance Earth-Sun inverse relative distance Julian day Figure: Relative inverse distance earth-sun

66 66 Energy and Mass Transfer Solar Declination ( ) 2 π δ = sin 365 J 1.39 J is the Julian day commencing with J=1 on the first of January and ending with J=365 on the 31 st of December.

67 Energy and Mass Transfer 67 Table: Solar Declination Month Julian Day solar declination January February March April May June July August September October November Dezember New Year

68 68 Energy and Mass Transfer Solar Declination solar declination [rad] Julian day Figure: Solar declination

69 69 Energy and Mass Transfer Sunset Hour Angle ω = arccos [ tan(φ) tan(δ)] (19) ω = π ( ) tan(φ) tan(δ) 2 arctan (20) X N = 24 π ω s (21) N daylength ω sunset hour angle (radians) φ latitude (radians) δ declination (radians) X 1 [tan(φ)] 2 [tan(δ)] 2 N Day length (max. sunshine hours

70 Energy and Mass Transfer 70 Table: Sunshine hours Month Julian Day sunshine hours January February March April May June July August September October November Dezember New Year

71 71 Energy and Mass Transfer Sunshine Hours sunshine hours Julian day Figure: Sunshine hours

72 72 Energy and Mass Transfer Extraterrestrial Radiation R a = 24 (60) G sc d r π [ω s sin(φ) + cos(φ) cos(δ) sin(ω s )] where R a extraterrestrial radiation [MJm 2 day 1 ] G sc solar constant = [MJm 2 min 1 ] d r inverse relative distance earth-sun ω s sunset hour angle (radians) φ latitude (radians) δ declination (radians)

73 73 Energy and Mass Transfer Extraterrestrial Radiation extraterrestrial radiation Julian day Figure: Extraterrestrial radiation

74 74 Energy and Mass Transfer Conversion factors MJ m 2 d Table: convert J m 2 d cal m 2 d W m 2 mm d MJ m 2 d cal m 2 d W m mm d Multiplication with converts m 2 d d which is the equivalent amount of water mm d that can be evaporated by the energy MJ m 2 d. MJ to mm

75 75 Energy and Mass Transfer Short-Wave Radiation on Earth After travelling through atmosphere and clouds radiation on earth mm/day Julian day Figure: Short wave radiation at earth surface in mm/d

76 76 Energy and Mass Transfer Net Long Wave Radiation R l = ( e a ) σ (1.35 (n/n) 0.35) [ ] T 4 max,k Tmin,K 4 2 e a = exp(17.27 T /( T )) R nl Net long wave outgoing radiation [MJm 2 day 1 ] e a actual vapour pressure [kpa] Temperature in Kelvin (min. and max. measured during day) T min,k

77 77 Energy and Mass Transfer Soil Heat Flux [ ] Ti T i 1 G = c s z t G soil heat flux in [MJm 2 day 1 ] c s soil heat capacity [MJm 3 C 1 ] T i air Temperature in Celsius t time step [day] z soil depth [m]

78 Combined Equations 78 Combined Equations

79 79 Combined Equations Seasonal Variation Evaporation

80 80 Combined Equations Combined Method Energy and Aerodynamic Term E c = ( ) ( ) γ E r + E a [mm/d] (22) + γ + γ = 4098 e s T (23) E c E a E r γ T Evaporation from combined method [hpa] Evaporation from aerodynamic method [hpa] Evaporation from energy method gradient of sat. vapour pressure curve psychrometric constant 66.8 Pa/( C) Temperature in degrees Celsius

81 81 Combined Equations Combined Method Energy Term E r = ( n ) S 0 (0.9 n ) N N ( e d ) σ T 4 E r n N e d σ T Evaporation from energy method sunshine hours potential sunshine hours vapour pressure Boltzmann-Constant Temperature in degrees Celsius

82 82 Combined Equations Priestley & Taylor E PT = α ( ) R n + γ R n = R s (1 α) R e R e = e σ Tp 4 E r = R n /(λ ρ) λ = T [MJ/kg] E PT Evaporation by Priestley & Taylor [mm/d] α 1.3 R n net radiation [W /m 2 ] R s total short wave incoming radiation [W /m 2 ] λ latent heat of evaporation in [W ] T Temperature in degrees Celsius ρ density of water in [kg/dm 3 ]

83 83 Combined Equations Makkink ( ET = α + γ R ) s β λ ET Evaporation by Makkink [mm/d] R s solar radiation in [MJm 2 day 1 ] α 0.61 β 0.12 λ latent heat of evaporation in MJkg 1 slope of the vapour pressure curve in [kpa C 1 ] γ psychrometric constant [kpa C 1 ]

84 84 Combined Equations Doorenbos & Pruitt ( ET = a + b + γ R ) s λ a = rh u z rh u z rh uz 2 b = 0.3 ET Evaporation [mm/d] R s solar radiation in [MJm 2 day 1 ] λ latent heat of evaporation in MJkg 1 slope of the vapour pressure curve in [kpa C 1 ] γ psychrometric constant [kpa C 1 ] u z wind speed at 2m in [m/s] rh relative humidity in [%]

85 85 Combined Equations Abtew ET = α ( ) Rs λ ET Evaporation [mm/d] α 0.53 R s solar radiation in [MJm 2 day 1 ] λ latent heat of evaporation in MJkg 1

86 86 Combined Equations Penman-Monteith Method, FAO version E T0 = (R n G) + γ 900 T +273 u 2 (e s e a ) + γ ( u 2 ) (24) E T0 reference evaporation [mm/d] R n net radiation at the crop surface [MJ/m 2 day 1] G soil heat flux [MJ/m 2 day 1] T mean daily temperature at 2m height [ Celsius] u 2 wind speed at 2m height [ms 1 ] e s saturation vapour pressure [kpa] e a actual vapour pressure [kpa] slope of vapour pressure curve [kpa Celsius 1 ] γ psychrometric constant [kpa Celsius 1 ]

87 Actual Evaporation 87 Actual Evaporation and Reduction Functions

88 88 Actual Evaporation Actual Evaporation Reduction by Resistance where as in [3] λ ETo = λ (R n G) + ρ cp λ + γ (es ea) r a ( 1 + rs r a ) (25) ETo reference evaporation [mm/d] R n net radiation at the crop surface [MJ/m 2 day 1] G soil heat flux [MJ/m 2 day 1] T mean daily temperature at 2m height [ Celsius] u 2 wind speed at 2m height [ms 1 ] e s saturation vapour pressure [kpa] e a actual vapour pressure [kpa] slope of vapour pressure curve [kpa Celsius 1 ] γ psychrometric constant [kpa Celsius 1 ]

89 89 Actual Evaporation Actual Evaporation Reduction by Resistance Figure: Reduction of evaporation by resistance

90 90 Actual Evaporation Actual Evaporation Reduction with Crop Coefficient Figure: Reduction of evaporation by crop coefficient

91 91 Actual Evaporation Actual Evaporation Reduction after Infiltration Figure: Reduction of evaporation by crop coefficient

92 92 Actual Evaporation Actual Evaporation Soil Moisture Reduction Figure: Reduction of evaporation by limited soil moisture

93 93 Actual Evaporation Actual Evaporation Soil Function Figure: Reduction of evaporation by limited soil moisture

94 94 Actual Evaporation Actual Evaporation Water Table Reduction Figure: Reduction of evaporation by deep water table

95 95 Actual Evaporation Bagrov-Gugla Method Figure: Reduction of evaporation by (BfG, 2003) [4]

96 96 Actual Evaporation Bagrov-Gugla Soil Moisture

97 Actual Evaporation 97 Runoff in Germany Prof. Dr. C. Ku lls, Labor fu r Hydrologie Lu beck, 2017

98 98 Actual Evaporation Further Topics and Readings... Thorntwaite & soil water balance Jensen-Haise Turc Calculation of r s and r a Wind correction

99 References 98 [1] J. Dalton. Experiments and observations to determine whether the quantity of rain and dew is equal to the quantity of water carried of by the rivers and raised by evaporation; with an enquiry into the origin of springs. Mem. Lit. Philos. Soc. Manchester, V(II): , [2] W. Haude. Zur praktischen Bestimmung der aktuellen und potentiellen Evaporation und Evapotranspiration. Dt. Wetterdienst, [3] R.G. Allen, L.S. Pereira, D. Raes, and M. Smith. Crop evapotranspiration - guidelines for computing crop water requirements - FAO Irrigation and drainage paper 56.

100 References 98 [4] G. Glugla, P. Jankiewicz, C. Rachimow, K. Lojek, Richter K., Fürtig, and Krahe P. Wasserhaushaltsverfahren zur Berechnung vieljähriger Mittelwerte der tatsächlichen Verdunstung und des Gesamtabflusses. BfG, 1342(1342):pp., 2003.

Evapotranspiration. Rabi H. Mohtar ABE 325

Evapotranspiration. Rabi H. Mohtar ABE 325 Evapotranspiration Rabi H. Mohtar ABE 325 Introduction What is it? Factors affecting it? Why we need to estimate it? Latent heat of vaporization: Liquid gas o Energy needed o Cooling process Saturation

More information

INTER-COMPARISON OF REFERENCE EVAPOTRANSPIRATION ESTIMATED USING SIX METHODS WITH DATA FROM FOUR CLIMATOLOGICAL STATIONS IN INDIA

INTER-COMPARISON OF REFERENCE EVAPOTRANSPIRATION ESTIMATED USING SIX METHODS WITH DATA FROM FOUR CLIMATOLOGICAL STATIONS IN INDIA INODUCTION The reference evapotranspiration is one of the most important things to consider for irrigation management to crops. Evapotranspiration (ET) is important to irrigation management because crop

More information

Performance of Two Temperature-Based Reference Evapotranspiration Models in the Mkoji Sub-Catchment in Tanzania

Performance of Two Temperature-Based Reference Evapotranspiration Models in the Mkoji Sub-Catchment in Tanzania 1 Performance of Two Temperature-Based Reference Evapotranspiration Models in the Mkoji Sub-Catchment in Tanzania Henry E. Igbadun 1, Henry F. Mahoo, Andrew K.P.R. Tarimo and Baanda A. Salim Department

More information

EVAPORATION GEOG 405. Tom Giambelluca

EVAPORATION GEOG 405. Tom Giambelluca EVAPORATION GEOG 405 Tom Giambelluca 1 Evaporation The change of phase of water from liquid to gas; the net vertical transport of water vapor from the surface to the atmosphere. 2 Definitions Evaporation:

More information

Comparison of Different Evapotranspiration Estimation Techniques for Mohanpur, Nadia District, West Bengal

Comparison of Different Evapotranspiration Estimation Techniques for Mohanpur, Nadia District, West Bengal ISSN (e): 2250 3005 Volume, 07 Issue, 04 April 2017 International Journal of Computational Engineering Research (IJCER) Comparison of Different Evapotranspiration Estimation Techniques for Mohanpur, Nadia

More information

Estimating Evaporation : Principles, Assumptions and Myths. Raoul J. Granger, NWRI

Estimating Evaporation : Principles, Assumptions and Myths. Raoul J. Granger, NWRI Estimating Evaporation : Principles, Assumptions and Myths Raoul J. Granger, NWRI Evaporation So what is it anyways? Evaporation is the phenomenon by which a substance is converted from the liquid or solid

More information

Promoting Rainwater Harvesting in Caribbean Small Island Developing States Water Availability Mapping for Grenada Preliminary findings

Promoting Rainwater Harvesting in Caribbean Small Island Developing States Water Availability Mapping for Grenada Preliminary findings Promoting Rainwater Harvesting in Caribbean Small Island Developing States Water Availability Mapping for Grenada Preliminary findings National Workshop Pilot Project funded by The United Nations Environment

More information

Chiang Rai Province CC Threat overview AAS1109 Mekong ARCC

Chiang Rai Province CC Threat overview AAS1109 Mekong ARCC Chiang Rai Province CC Threat overview AAS1109 Mekong ARCC This threat overview relies on projections of future climate change in the Mekong Basin for the period 2045-2069 compared to a baseline of 1980-2005.

More information

Temperature based ET Method Selection for Burdwan District in WB, INDIA

Temperature based ET Method Selection for Burdwan District in WB, INDIA Temperature based ET Method Selection for Burdwan District in WB, INDIA Faruk Bin Poyen 1, Palash Kundu 2, Apurba Kumar Ghosh 1 1 Department of AEIE, UIT Burdwan University, Burdwan, India. 2 Department

More information

Indian Journal of Hill Farming

Indian Journal of Hill Farming Content list available at http://epubs.icar.org.in, www.kiran.nic.in; ISSN: 0970-6429 Indian Journal of Hill Farming June 2016, Volume 29, Issue 1, Page 79-86 Evaluation of Methods for Estimation of Reference

More information

Review of ET o calculation methods and software

Review of ET o calculation methods and software Climate change and Bio-energy Unit (NRCB) Review of ET o calculation methods and software Technical report Delobel François February 2009 1 Table of Content List of figure... 4 1. Introduction... 8 2.

More information

Estimation of Solar Radiation at Ibadan, Nigeria

Estimation of Solar Radiation at Ibadan, Nigeria Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS) 2 (4): 701-705 Scholarlink Research Institute Journals, 2011 (ISSN: 2141-7016) jeteas.scholarlinkresearch.org Journal of Emerging

More information

PROJECTING THE SOLAR RADIATION IN NASARAWA-NIGERIA USING REITVELD EQUATION

PROJECTING THE SOLAR RADIATION IN NASARAWA-NIGERIA USING REITVELD EQUATION PROJECTING THE SOLAR RADIATION IN NASARAWA-NIGERIA USING REITVELD EQUATION * Benedicta C. Njoku 1, Musibau A. Adesina 2, Eshipemi W. Lukman 3 and Bankole Omojola 4 1,2,3 Mechanical Engineering Department,

More information

Evapotranspiration: Theory and Applications

Evapotranspiration: Theory and Applications Evapotranspiration: Theory and Applications Lu Zhang ( 张橹 ) CSIRO Land and Water Evaporation: part of our everyday life Evapotranspiration Global Land: P = 800 mm Q = 315 mm E = 485 mm Evapotranspiration

More information

Evaporation and Evapotranspiration

Evaporation and Evapotranspiration Evaporation and Evapotranspiration Wossenu Abtew Assefa Melesse Evaporation and Evapotranspiration Measurements and Estimations 123 Dr. Wossenu Abtew South Florida Water Management District West Palm

More information

Eric. W. Harmsen 1, John Mecikalski 2, Vanessa Acaron 3 and Jayson Maldonado 3

Eric. W. Harmsen 1, John Mecikalski 2, Vanessa Acaron 3 and Jayson Maldonado 3 Estimating Ground-Level Solar Radiation and Evapotranspiration In Puerto Rico Using Satellite Remote Sensing Eric. W. Harmsen 1, John Mecikalski 2, Vanessa Acaron 3 and Jayson Maldonado 3 1 Department

More information

Appendix C. AMEC Evaluation of Zuni PPIW. Appendix C. Page C-1 of 34

Appendix C. AMEC Evaluation of Zuni PPIW. Appendix C. Page C-1 of 34 AMEC s Independent Estimate of PPIW Crop Water Use Using the ASCE Standardized Reference Evapotranspiration via Gridded Meteorological Data, and Estimation of Crop Coefficients, and Net Annual Diversions

More information

Changing Hydrology under a Changing Climate for a Coastal Plain Watershed

Changing Hydrology under a Changing Climate for a Coastal Plain Watershed Changing Hydrology under a Changing Climate for a Coastal Plain Watershed David Bosch USDA-ARS, Tifton, GA Jeff Arnold ARS Temple, TX and Peter Allen Baylor University, TX SEWRU Objectives 1. Project changes

More information

Variability of Reference Evapotranspiration Across Nebraska

Variability of Reference Evapotranspiration Across Nebraska Know how. Know now. EC733 Variability of Reference Evapotranspiration Across Nebraska Suat Irmak, Extension Soil and Water Resources and Irrigation Specialist Kari E. Skaggs, Research Associate, Biological

More information

Temporal and spatial variations in radiation and energy fluxes across Lake Taihu

Temporal and spatial variations in radiation and energy fluxes across Lake Taihu Temporal and spatial variations in radiation and energy fluxes across Lake Taihu Wang Wei YNCenter Video Conference May 10, 2012 Outline 1. Motivation 2. Hypothesis 3. Methodology 4. Preliminary results

More information

Research Note COMPUTER PROGRAM FOR ESTIMATING CROP EVAPOTRANSPIRATION IN PUERTO RICO 1,2. J. Agric. Univ. P.R. 89(1-2): (2005)

Research Note COMPUTER PROGRAM FOR ESTIMATING CROP EVAPOTRANSPIRATION IN PUERTO RICO 1,2. J. Agric. Univ. P.R. 89(1-2): (2005) Research Note COMPUTER PROGRAM FOR ESTIMATING CROP EVAPOTRANSPIRATION IN PUERTO RICO 1,2 Eric W. Harmsen 3 and Antonio L. González-Pérez 4 J. Agric. Univ. P.R. 89(1-2):107-113 (2005) Estimates of crop

More information

Agricultural Science Climatology Semester 2, Anne Green / Richard Thompson

Agricultural Science Climatology Semester 2, Anne Green / Richard Thompson Agricultural Science Climatology Semester 2, 2006 Anne Green / Richard Thompson http://www.physics.usyd.edu.au/ag/agschome.htm Course Coordinator: Mike Wheatland Course Goals Evaluate & interpret information,

More information

Package Evapotranspiration

Package Evapotranspiration Version 1.12 Date 2017-10-26 Package Evapotranspiration October 28, 2017 Title Modelling Actual, Potential and Reference Crop Evapotranspiration Author Danlu Guo [aut, cre] ,

More information

Outline. The Path of the Sun. Emissivity and Absorptivity. Average Radiation Properties II. Average Radiation Properties

Outline. The Path of the Sun. Emissivity and Absorptivity. Average Radiation Properties II. Average Radiation Properties The Path of the Sun Larry Caretto Mechanical Engineering 83 Alternative Energy Engineering II March, 2 Outline Review radiation properties for solar collectors Orientation of earth and sun Earth-based

More information

Comparative Study of Evapotranspiration Variation and its Relationship with Other Climatic Parameters in Asaba and Uyo

Comparative Study of Evapotranspiration Variation and its Relationship with Other Climatic Parameters in Asaba and Uyo Comparative Study of Evapotranspiration Variation and its Relationship with Other Climatic Parameters in Asaba and Uyo *1 Okwunna M. Umego, 2 Temitayo A. Ewemoje and 1 Oluwaseun A. Ilesanmi 1 Department

More information

5B.1 DEVELOPING A REFERENCE CROP EVAPOTRANSPIRATION CLIMATOLOGY FOR THE SOUTHEASTERN UNITED STATES USING THE FAO PENMAN-MONTEITH ESTIMATION TECHNIQUE

5B.1 DEVELOPING A REFERENCE CROP EVAPOTRANSPIRATION CLIMATOLOGY FOR THE SOUTHEASTERN UNITED STATES USING THE FAO PENMAN-MONTEITH ESTIMATION TECHNIQUE DEVELOPING A REFERENCE CROP EVAPOTRANSPIRATION CLIMATOLOGY FOR THE SOUTHEASTERN UNITED STATES USING THE FAO PENMAN-MONTEITH ESTIMATION TECHNIQUE Heather A. Dinon*, Ryan P. Boyles, and Gail G. Wilkerson

More information

Soil Water Atmosphere Plant (SWAP) Model: I. INTRODUCTION AND THEORETICAL BACKGROUND

Soil Water Atmosphere Plant (SWAP) Model: I. INTRODUCTION AND THEORETICAL BACKGROUND Soil Water Atmosphere Plant (SWAP) Model: I. INTRODUCTION AND THEORETICAL BACKGROUND Reinder A.Feddes Jos van Dam Joop Kroes Angel Utset, Main processes Rain fall / irrigation Transpiration Soil evaporation

More information

SURFACE ORIENTATIONS AND ENERGY POLICY FOR SOLAR MODULE APPLICATIONS IN DHAKA, BANGLADESH

SURFACE ORIENTATIONS AND ENERGY POLICY FOR SOLAR MODULE APPLICATIONS IN DHAKA, BANGLADESH International Journal of Scientific & Engineering Research, Volume 5, Issue, February-014 83 ISSN 9-5518 SURFACE ORIENTATIONS AND ENERGY POLICY FOR SOLAR MODULE APPLICATIONS IN DHAKA, BANGLADESH 1 Debazit

More information

"ESTIMATES OF POTENTIAL EVAPOTRANSPIRATION OVER THE STATE OF QATAR"

ESTIMATES OF POTENTIAL EVAPOTRANSPIRATION OVER THE STATE OF QATAR Engineering Journal of Qatar University, Vol. 2, 1989. "ESTMATES OF POTENTAL EVAPOTRANSPRATON OVER THE STATE OF QATAR" By Abdallah Sadik Bazaraa Department of Civil Engineering University of Qatar, Doha

More information

Radiation, Sensible Heat Flux and Evapotranspiration

Radiation, Sensible Heat Flux and Evapotranspiration Radiation, Sensible Heat Flux and Evapotranspiration Climatological and hydrological field work Figure 1: Estimate of the Earth s annual and global mean energy balance. Over the long term, the incoming

More information

ROBUST EVAPORATION ESTIMATES: RESULTS FROM A COLLABORATIVE PROJECT

ROBUST EVAPORATION ESTIMATES: RESULTS FROM A COLLABORATIVE PROJECT ROBUST EVAPORATION ESTIMATES: RESULTS FROM A COLLABORATIVE PROJECT MG MCGLINCHEY 1 AND NG INMAN-BAMBER 1 Swaziland Sugar Association Technical Services, Simunye, Swaziland CSIRO, Davies Lab, Townsville,

More information

Monitoring daily evapotranspiration in the Alps exploiting Sentinel-2 and meteorological data

Monitoring daily evapotranspiration in the Alps exploiting Sentinel-2 and meteorological data Monitoring daily evapotranspiration in the Alps exploiting Sentinel-2 and meteorological data M. Castelli, S. Asam, A. Jacob, M. Zebisch, and C. Notarnicola Institute for Earth Observation, Eurac Research,

More information

1. SOLAR GEOMETRY, EXTRATERRESTRIAL IRRADIANCE & INCIDENCE ANGLES

1. SOLAR GEOMETRY, EXTRATERRESTRIAL IRRADIANCE & INCIDENCE ANGLES 1. SOLAR GEOMETRY, EXTRATERRESTRIAL IRRADIANCE & INCIDENCE ANGLES The Sun A blackbody with T ~ 6000 K Blackbody radiation with the same amount of energy per unit of area T ~ 5762 K Blackbody radiating

More information

Study of Hydrometeorology in a Hard Rock Terrain, Kadirischist Belt Area, Anantapur District, Andhra Pradesh

Study of Hydrometeorology in a Hard Rock Terrain, Kadirischist Belt Area, Anantapur District, Andhra Pradesh Open Journal of Geology, 2012, 2, 294-300 http://dx.doi.org/10.4236/ojg.2012.24028 Published Online October 2012 (http://www.scirp.org/journal/ojg) Study of Hydrometeorology in a Hard Rock Terrain, Kadirischist

More information

2. Irrigation. Key words: right amount at right time What if it s too little too late? Too much too often?

2. Irrigation. Key words: right amount at right time What if it s too little too late? Too much too often? 2. Irrigation Key words: right amount at right time What if it s too little too late? 2-1 Too much too often? To determine the timing and amount of irrigation, we need to calculate soil water balance.

More information

GEOG415 Mid-term Exam 110 minute February 27, 2003

GEOG415 Mid-term Exam 110 minute February 27, 2003 GEOG415 Mid-term Exam 110 minute February 27, 2003 1 Name: ID: 1. The graph shows the relationship between air temperature and saturation vapor pressure. (a) Estimate the relative humidity of an air parcel

More information

Dependence of evaporation on meteorological variables at di erent time-scales and intercomparison of estimation methods

Dependence of evaporation on meteorological variables at di erent time-scales and intercomparison of estimation methods Hydrological Processes Hydrol. Process. 12, 429±442 (1998) Dependence of evaporation on meteorological variables at di erent time-scales and intercomparison of estimation methods C.-Y. Xu 1 and V.P. Singh

More information

A GROUND-BASED PROCEDURE FOR ESTIMATING LATENT HEAT ENERGY FLUXES 1 Eric Harmsen 2, Richard Díaz 3 and Javier Chaparro 3

A GROUND-BASED PROCEDURE FOR ESTIMATING LATENT HEAT ENERGY FLUXES 1 Eric Harmsen 2, Richard Díaz 3 and Javier Chaparro 3 A GROUND-BASED PROCEDURE FOR ESTIMATING LATENT HEAT ENERGY FLUXES 1 Eric Harmsen 2, Richard Díaz 3 and Javier Chaparro 3 1. This material is based on research supported by NOAA-CREST and NASA-EPSCoR (NCC5-595).

More information

Regional Precipitation and ET Patterns: Impacts on Agricultural Water Management

Regional Precipitation and ET Patterns: Impacts on Agricultural Water Management Regional Precipitation and ET Patterns: Impacts on Agricultural Water Management Christopher H. Hay, PhD, PE Ag. and Biosystems Engineering South Dakota State University 23 November 2010 Photo: USDA-ARS

More information

Climate Variability in South Asia

Climate Variability in South Asia Climate Variability in South Asia V. Niranjan, M. Dinesh Kumar, and Nitin Bassi Institute for Resource Analysis and Policy Contents Introduction Rainfall variability in South Asia Temporal variability

More information

Evaluation and Recalibration of Empirical Constant for Estimation of Reference Crop Evapotranspiration against the Modified Penman Method

Evaluation and Recalibration of Empirical Constant for Estimation of Reference Crop Evapotranspiration against the Modified Penman Method IOP Conference Series: Earth and Environmental Science PAPER OPEN ACCESS Evaluation and Recalibration of Empirical Constant for Estimation of Reference Crop Evapotranspiration against the Modified Penman

More information

Evapotranspiration. Here, liquid water on surfaces or in the very thin surface layer of the soil that evaporates directly to the atmosphere

Evapotranspiration. Here, liquid water on surfaces or in the very thin surface layer of the soil that evaporates directly to the atmosphere Evapotranspiration Evaporation (E): In general, the change of state from liquid to gas Here, liquid water on surfaces or in the very thin surface layer of the soil that evaporates directly to the atmosphere

More information

Thermal Crop Water Stress Indices

Thermal Crop Water Stress Indices Page 1 of 12 Thermal Crop Water Stress Indices [Note: much of the introductory material in this section is from Jackson (1982).] The most established method for detecting crop water stress remotely is

More information

Numerical Example An air parcel with mass of 1 kg rises adiabatically from sea level to an altitude of 3 km. What is its temperature change?

Numerical Example An air parcel with mass of 1 kg rises adiabatically from sea level to an altitude of 3 km. What is its temperature change? Numerical Example An air parcel with mass of 1 kg rises adiabatically from sea level to an altitude of 3 km. What is its temperature change? From the 1 st law, T = -g/c p z + Q/m air /c p Here, Q = 0,

More information

Application of Artificial Neural Networks for Global Solar Radiation Forecasting With Temperature

Application of Artificial Neural Networks for Global Solar Radiation Forecasting With Temperature Available online at www.pelagiaresearchlibrary.com Advances in Applied Science Research, 20, 3 (1):130-134 ISSN: 0976-8610 CODEN (USA): AASRFC Application of Artificial Neural Networks for Global Solar

More information

CHAPTER-11 CLIMATE AND RAINFALL

CHAPTER-11 CLIMATE AND RAINFALL CHAPTER-11 CLIMATE AND RAINFALL 2.1 Climate Climate in a narrow sense is usually defined as the "average weather", or more rigorously, as the statistical description in terms of the mean and variability

More information

The Climate of Bryan County

The Climate of Bryan County The Climate of Bryan County Bryan County is part of the Crosstimbers throughout most of the county. The extreme eastern portions of Bryan County are part of the Cypress Swamp and Forest. Average annual

More information

Modified Blaney-Criddle method an empirical approach to estimate potential evaporation using air temperature

Modified Blaney-Criddle method an empirical approach to estimate potential evaporation using air temperature Mine Closure 2009 A.B. Fourie, M. Tibbett (eds) 2009 Australian Centre for Geomechanics, Perth, ISBN 978-0-9804185-9-0 https://papers.acg.uwa.edu.au/p/908_35_zhan/ Modified Blaney-Criddle method an empirical

More information

Evaluation of Methodologies to Estimate Reference Evapotranspiration in Florida

Evaluation of Methodologies to Estimate Reference Evapotranspiration in Florida Proc. Fla. State Hort. Soc. 123:189 195. 2010. Evaluation of Methodologies to Estimate Reference Evapotranspiration in Florida E.M. Gelcer 1, C.W. Fraisse* 1, and P.C. Sentelhas 2 1University of Florida,

More information

Int. J. of Sustainable Water & Environmental Systems Volume 8, No. 2 (2016)

Int. J. of Sustainable Water & Environmental Systems Volume 8, No. 2 (2016) Int. J. of Sustainable Water & Environmental Systems Volume 8, No. (6) -8 Modelling Daily Reference Evapotranspiration in Middle South Saurashtra Region of India for Monsoon Season using Dominant Meteorological

More information

Validation of MODIS Data for Localized Spatio- Temporal Evapotranspiration Mapping

Validation of MODIS Data for Localized Spatio- Temporal Evapotranspiration Mapping IOP Conference Series: Earth and Environmental Science OPEN ACCESS Validation of MODIS Data for Localized Spatio- Temporal Evapotranspiration Mapping To cite this article: M I Nadzri and M Hashim 2014

More information

Assessment of Reference Evapotranspiration by the Hargreaves Method in Southern Punjab Pakistan

Assessment of Reference Evapotranspiration by the Hargreaves Method in Southern Punjab Pakistan Available online www.ejaet.com European Journal of Advances in Engineering and Technology, 17, (1): -7 esearch Article ISSN: 39-5X Assessment of eference Evapotranspiration by the Hargreaves Method in

More information

PRELIMINARY DRAFT FOR DISCUSSION PURPOSES

PRELIMINARY DRAFT FOR DISCUSSION PURPOSES Memorandum To: David Thompson From: John Haapala CC: Dan McDonald Bob Montgomery Date: February 24, 2003 File #: 1003551 Re: Lake Wenatchee Historic Water Levels, Operation Model, and Flood Operation This

More information

The Climate of Haskell County

The Climate of Haskell County The Climate of Haskell County Haskell County is part of the Hardwood Forest. The Hardwood Forest is characterized by its irregular landscape and the largest lake in Oklahoma, Lake Eufaula. Average annual

More information

The Climate of Pontotoc County

The Climate of Pontotoc County The Climate of Pontotoc County Pontotoc County is part of the Crosstimbers. This region is a transition region from the Central Great Plains to the more irregular terrain of southeast Oklahoma. Average

More information

WHEN IS IT EVER GOING TO RAIN? Table of Average Annual Rainfall and Rainfall For Selected Arizona Cities

WHEN IS IT EVER GOING TO RAIN? Table of Average Annual Rainfall and Rainfall For Selected Arizona Cities WHEN IS IT EVER GOING TO RAIN? Table of Average Annual Rainfall and 2001-2002 Rainfall For Selected Arizona Cities Phoenix Tucson Flagstaff Avg. 2001-2002 Avg. 2001-2002 Avg. 2001-2002 October 0.7 0.0

More information

The Arctic Energy Budget

The Arctic Energy Budget The Arctic Energy Budget The global heat engine [courtesy Kevin Trenberth, NCAR]. Differential solar heating between low and high latitudes gives rise to a circulation of the atmosphere and ocean that

More information

The Climate of Marshall County

The Climate of Marshall County The Climate of Marshall County Marshall County is part of the Crosstimbers. This region is a transition region from the Central Great Plains to the more irregular terrain of southeastern Oklahoma. Average

More information

Geostatistical Analysis of Rainfall Temperature and Evaporation Data of Owerri for Ten Years

Geostatistical Analysis of Rainfall Temperature and Evaporation Data of Owerri for Ten Years Atmospheric and Climate Sciences, 2012, 2, 196-205 http://dx.doi.org/10.4236/acs.2012.22020 Published Online April 2012 (http://www.scirp.org/journal/acs) Geostatistical Analysis of Rainfall Temperature

More information

Lecture 3A: Interception

Lecture 3A: Interception 3-1 GEOG415 Lecture 3A: Interception What is interception? Canopy interception (C) Litter interception (L) Interception ( I = C + L ) Precipitation (P) Throughfall (T) Stemflow (S) Net precipitation (R)

More information

G109 Alternate Midterm Exam October, 2004 Instructor: Dr C.M. Brown

G109 Alternate Midterm Exam October, 2004 Instructor: Dr C.M. Brown 1 Time allowed 50 mins. Answer ALL questions Total possible points;50 Number of pages:8 Part A: Multiple Choice (1 point each) [total 24] Answer all Questions by marking the corresponding number on the

More information

2015 Fall Conditions Report

2015 Fall Conditions Report 2015 Fall Conditions Report Prepared by: Hydrologic Forecast Centre Date: December 21 st, 2015 Table of Contents Table of Figures... ii EXECUTIVE SUMMARY... 1 BACKGROUND... 2 SUMMER AND FALL PRECIPITATION...

More information

Assessment of Temperature based equations for ETo estimation by FAO Penman-Monteith Method for Betwa Basin, Central India

Assessment of Temperature based equations for ETo estimation by FAO Penman-Monteith Method for Betwa Basin, Central India Assessment of Temperature based equations for ETo estimation by FAO Penman-Monteith Method for Betwa Basin, Central India Reetesh Kumar Pyasi, and Ashish Pandey Abstract Feasibility of temperature based

More information

Snow II: Snowmelt and energy balance

Snow II: Snowmelt and energy balance Snow II: Snowmelt and energy balance The are three basic snowmelt phases 1) Warming phase: Absorbed energy raises the average snowpack temperature to a point at which the snowpack is isothermal (no vertical

More information

Technical Note: Hydrology of the Lukanga Swamp, Zambia

Technical Note: Hydrology of the Lukanga Swamp, Zambia Technical Note: Hydrology of the Lukanga Swamp, Zambia Matthew McCartney July 7 Description The Lukanga swamp is located approximately 5km west of the city of Kabwe, in the Central province of Zambia,

More information

Technical Note: Hydrology of the Lake Chilwa wetland, Malawi

Technical Note: Hydrology of the Lake Chilwa wetland, Malawi Technical Note: Hydrology of the Lake Chilwa wetland, Malawi Matthew McCartney June 27 Description Lake Chilwa is located in the Southern region of Malawi on the country s eastern boarder with Mozambique

More information

Performance Assessment of Hargreaves Model in Estimating Global Solar Radiation in Sokoto, Nigeria

Performance Assessment of Hargreaves Model in Estimating Global Solar Radiation in Sokoto, Nigeria International Journal of Advances in Scientific Research and Engineering (ijasre) E-ISSN : 2454-8006 DOI: http://dx.doi.org/10.7324/ijasre.2017.32542 Vol.3 (11) December-2017 Performance Assessment of

More information

Estimation of Hourly Solar Radiation on Horizontal and Inclined Surfaces in Western Himalayas

Estimation of Hourly Solar Radiation on Horizontal and Inclined Surfaces in Western Himalayas Smart Grid and Renewable Energy, 2011, 2, 45-55 doi:10.4236/sgre.2011.21006 Published Online February 2011 (http://www.scirp.org/journal/sgre) 45 Estimation of Hourly Solar Radiation on Horizontal and

More information

Appendix B. Evaluation of Water Use for Zuni Tribe PPIW Appendix B AMEC Earth and Environmental

Appendix B. Evaluation of Water Use for Zuni Tribe PPIW Appendix B AMEC Earth and Environmental Appendix B AMEC s Independent Estimate of PPIW Crop Water Use Using the ASCE Standardized Reference Evapotranspiration via Direct Use of Weather Station Data, and Estimation of Crop Coefficients, and Net

More information

The Climate of Grady County

The Climate of Grady County The Climate of Grady County Grady County is part of the Central Great Plains, encompassing some of the best agricultural land in Oklahoma. Average annual precipitation ranges from about 33 inches in northern

More information

The Climate of Payne County

The Climate of Payne County The Climate of Payne County Payne County is part of the Central Great Plains in the west, encompassing some of the best agricultural land in Oklahoma. Payne County is also part of the Crosstimbers in the

More information

The Climate of Kiowa County

The Climate of Kiowa County The Climate of Kiowa County Kiowa County is part of the Central Great Plains, encompassing some of the best agricultural land in Oklahoma. Average annual precipitation ranges from about 24 inches in northwestern

More information

Jackson County 2013 Weather Data

Jackson County 2013 Weather Data Jackson County 2013 Weather Data 61 Years of Weather Data Recorded at the UF/IFAS Marianna North Florida Research and Education Center Doug Mayo Jackson County Extension Director 1952-2008 Rainfall Data

More information

Evaluation and generalization of temperature-based methods for calculating evaporation

Evaluation and generalization of temperature-based methods for calculating evaporation HYDROLOGICAL PROCESSES Hydrol. Process. 15, 35 319 (21) Evaluation and generalization of temperature-based methods for calculating evaporation C.-Y. Xu 1 * and V. P. Singh 2 1 Department of Earth Sciences,

More information

Memo. I. Executive Summary. II. ALERT Data Source. III. General System-Wide Reporting Summary. Date: January 26, 2009 To: From: Subject:

Memo. I. Executive Summary. II. ALERT Data Source. III. General System-Wide Reporting Summary. Date: January 26, 2009 To: From: Subject: Memo Date: January 26, 2009 To: From: Subject: Kevin Stewart Markus Ritsch 2010 Annual Legacy ALERT Data Analysis Summary Report I. Executive Summary The Urban Drainage and Flood Control District (District)

More information

S. J. Schymanski (Referee) 1 Summary

S. J. Schymanski (Referee) 1 Summary Hydrol. Earth Syst. Sci. Discuss., 9, C5863 C5874, 2012 www.hydrol-earth-syst-sci-discuss.net/9/c5863/2012/ Author(s) 2012. This work is distributed under the Creative Commons Attribute 3.0 License. Hydrology

More information

The Climate of Seminole County

The Climate of Seminole County The Climate of Seminole County Seminole County is part of the Crosstimbers. This region is a transition region from the Central Great Plains to the more irregular terrain of southeastern Oklahoma. Average

More information

Estimation of Reference Evapotranspiration by Artificial Neural Network

Estimation of Reference Evapotranspiration by Artificial Neural Network Estimation of Reference Evapotranspiration by Artificial Neural Network A. D. Bhagat 1, P. G. Popale 2 PhD Scholar, Department of Irrigation and Drainage Engineering, Dr. ASCAE&T, Mahatma Phule Krishi

More information

METRIC tm. Mapping Evapotranspiration at high Resolution with Internalized Calibration. Shifa Dinesh

METRIC tm. Mapping Evapotranspiration at high Resolution with Internalized Calibration. Shifa Dinesh METRIC tm Mapping Evapotranspiration at high Resolution with Internalized Calibration Shifa Dinesh Outline Introduction Background of METRIC tm Surface Energy Balance Image Processing Estimation of Energy

More information

The Climate of Murray County

The Climate of Murray County The Climate of Murray County Murray County is part of the Crosstimbers. This region is a transition between prairies and the mountains of southeastern Oklahoma. Average annual precipitation ranges from

More information

Meteorology. Circle the letter that corresponds to the correct answer

Meteorology. Circle the letter that corresponds to the correct answer Chapter 3 Worksheet 1 Meteorology Name: Circle the letter that corresponds to the correct answer 1) If the maximum temperature for a particular day is 26 C and the minimum temperature is 14 C, the daily

More information

The USWB Class A Evaporation Pan. Section 13.2 A-PAN EQUIVALENT REFERENCE POTENTIAL EVAPORATION R.E. Schulze and M. Maharaj

The USWB Class A Evaporation Pan. Section 13.2 A-PAN EQUIVALENT REFERENCE POTENTIAL EVAPORATION R.E. Schulze and M. Maharaj Section 13.2 A-PAN EQUIVALENT REFERENCE POTENTIAL EVAPORATION R.E. Schulze and M. Maharaj Background to Mapping A-Pan Equivalent Reference Potential Evaporation Over South Africa For the two to three decades

More information

Interannual variation of MODIS NDVI in Lake Taihu and its relation to climate in submerged macrophyte region

Interannual variation of MODIS NDVI in Lake Taihu and its relation to climate in submerged macrophyte region Yale-NUIST Center on Atmospheric Environment Interannual variation of MODIS NDVI in Lake Taihu and its relation to climate in submerged macrophyte region ZhangZhen 2015.07.10 1 Outline Introduction Data

More information

) was measured using net radiometers. Soil heat flux (Q g

) was measured using net radiometers. Soil heat flux (Q g Paper 4 of 18 Determination of Surface Fluxes Using a Bowen Ratio System V. C. K. Kakane* and E. K. Agyei Physics Department, University of Ghana, Legon, Ghana * Corresponding author, Email: vckakane@ug.edu.gh

More information

Drought in Southeast Colorado

Drought in Southeast Colorado Drought in Southeast Colorado Nolan Doesken and Roger Pielke, Sr. Colorado Climate Center Prepared by Tara Green and Odie Bliss http://climate.atmos.colostate.edu 1 Historical Perspective on Drought Tourism

More information

Eric. W. Harmsen 1, John Mecikalski 2, Pedro Tosado Cruz 1 Ariel Mercado Vargas 1

Eric. W. Harmsen 1, John Mecikalski 2, Pedro Tosado Cruz 1 Ariel Mercado Vargas 1 Estimating Evapotranspiration using Satellite Remote Sensing in Puerto Rico, Haiti and the Dominican Republic Eric. W. Harmsen 1, John Mecikalski 2, Pedro Tosado Cruz 1 Ariel Mercado Vargas 1 1. University

More information

Data and formulas at the end. Exam would be Weds. May 8, 2008

Data and formulas at the end. Exam would be Weds. May 8, 2008 ATMS 321: Science of Climate Practice Mid Term Exam - Spring 2008 page 1 Atmospheric Sciences 321 Science of Climate Practice Mid-Term Examination: Would be Closed Book Data and formulas at the end. Exam

More information

The Climate of Texas County

The Climate of Texas County The Climate of Texas County Texas County is part of the Western High Plains in the north and west and the Southwestern Tablelands in the east. The Western High Plains are characterized by abundant cropland

More information

Analysis of Rainfall and Other Weather Parameters under Climatic Variability of Parbhani ( )

Analysis of Rainfall and Other Weather Parameters under Climatic Variability of Parbhani ( ) International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 06 (2018) Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2018.706.295

More information

Crop Evapotranspiration (ET) Estimation Models: A Review and Discussion of the Applicability and Limitations of ET Methods

Crop Evapotranspiration (ET) Estimation Models: A Review and Discussion of the Applicability and Limitations of ET Methods Journal of Agricultural Science; Vol. 7, No. 6; 015 ISSN 1916-975 E-ISSN 1916-9760 Published by Canadian Center of Science and Education Crop Evapotranspiration (ET) Estimation Models: A Review and Discussion

More information

Lecture 7: The Monash Simple Climate

Lecture 7: The Monash Simple Climate Climate of the Ocean Lecture 7: The Monash Simple Climate Model Dr. Claudia Frauen Leibniz Institute for Baltic Sea Research Warnemünde (IOW) claudia.frauen@io-warnemuende.de Outline: Motivation The GREB

More information

4. THE HBV MODEL APPLICATION TO THE KASARI CATCHMENT

4. THE HBV MODEL APPLICATION TO THE KASARI CATCHMENT Application of HBV model to the Kasari River, 1994 Page 1 of 6 Application of the HBV model to the Kasari river for flow modulation of catchments characterised by specific underlying features by R. Vedom,

More information

OPTIMIZATION OF GLOBAL SOLAR RADIATION OF TILT ANGLE FOR SOLAR PANELS, LOCATION: OUARGLA, ALGERIA

OPTIMIZATION OF GLOBAL SOLAR RADIATION OF TILT ANGLE FOR SOLAR PANELS, LOCATION: OUARGLA, ALGERIA OPTIMIZATION OF GLOBAL SOLAR RADIATION OF TILT ANGLE FOR SOLAR PANELS, LOCATION: OUARGLA, ALGERIA Mohamed Lakhdar LOUAZENE Dris KORICHI Department of Electrical Engineering, University of Ouargla, Algeria.

More information

Lecture notes: Interception and evapotranspiration

Lecture notes: Interception and evapotranspiration Lecture notes: Interception and evapotranspiration I. Vegetation canopy interception (I c ): Portion of incident precipitation (P) physically intercepted, stored and ultimately evaporated from vegetation

More information

Calibration of Hargreaves equation for estimating monthly reference evapotranspiration in the west of Iran

Calibration of Hargreaves equation for estimating monthly reference evapotranspiration in the west of Iran Calibration of Hargreaves equation for estimating monthly reference evapotranspiration in the west of Iran Houshang Ghamarnia 1,Vahid Rezvani, Erfan Khodaei, Hossein Mirzaei Abstract : In the present study,

More information

Observer-Sun Angles. ), Solar altitude angle (α s. ) and solar azimuth angle (γ s )). θ z. = 90 o α s

Observer-Sun Angles. ), Solar altitude angle (α s. ) and solar azimuth angle (γ s )). θ z. = 90 o α s Observer-Sun Angles Direction of Beam Radiation: The geometric relationships between a plane of any particular orientation relative to the earth at any time and the incoming beam solar radiation can be

More information

Boundary layer equilibrium [2005] over tropical oceans

Boundary layer equilibrium [2005] over tropical oceans Boundary layer equilibrium [2005] over tropical oceans Alan K. Betts [akbetts@aol.com] Based on: Betts, A.K., 1997: Trade Cumulus: Observations and Modeling. Chapter 4 (pp 99-126) in The Physics and Parameterization

More information

Atmospheric Sciences 321. Science of Climate. Lecture 14: Surface Energy Balance Chapter 4

Atmospheric Sciences 321. Science of Climate. Lecture 14: Surface Energy Balance Chapter 4 Atmospheric Sciences 321 Science of Climate Lecture 14: Surface Energy Balance Chapter 4 Community Business Check the assignments HW #4 due Today, HW#5 is posted Quiz Today on Chapter 3, too. Mid Term

More information

PRELIMINARY ASSESSMENT OF SURFACE WATER RESOURCES - A STUDY FROM DEDURU OYA BASIN OF SRI LANKA

PRELIMINARY ASSESSMENT OF SURFACE WATER RESOURCES - A STUDY FROM DEDURU OYA BASIN OF SRI LANKA PRELIMINARY ASSESSMENT OF SURFACE WATER RESOURCES - A STUDY FROM DEDURU OYA BASIN OF SRI LANKA THUSHARA NAVODANI WICKRAMAARACHCHI Hydrologist, Water Resources Secretariat of Sri Lanka, Room 2-125, BMICH,

More information

Presentation Overview. Southwestern Climate: Past, present and future. Global Energy Balance. What is climate?

Presentation Overview. Southwestern Climate: Past, present and future. Global Energy Balance. What is climate? Southwestern Climate: Past, present and future Mike Crimmins Climate Science Extension Specialist Dept. of Soil, Water, & Env. Science & Arizona Cooperative Extension The University of Arizona Presentation

More information