Ashrae C26 (97) Climatic Design Information
Ashrae C26 (97) Climatic Design Information
Ashrae C26 (97) Climatic Design Information
CHAPTER 26
CLIMATIC DESIGNINFOMATION
Updated Information ................................................................. 26.1 United States Design Conditions .............................................. 26.6
Climatic Design Conditions ...................................................... 26.2 Canadian Design Conditions .................................................. 26.22
Other Sources of Climatic Information .................................... 26.4 World Design Conditions........................................................ 26.26
The 99.0% and 99.6% (cold) values are defined in the same way Relationship between Design Conditions and
but are usually viewed as the values for which the corresponding Design Temperatures Published Previously
weather element are less than the design condition 88 and 35 hours,
The design conditions in this chapter are calculated on a different
respectively. Mean coincident values are the average of the indi-
basis compared to the design conditions published in previous edi-
cated weather element occurring concurrently with the correspond-
tions of this handbook. Previous design conditions were based on a
ing design value.
4-month summer period and a 3-month winter period in the United
These design conditions were calculated from the frequency dis- States, on the months of July and January in Canada, and the warm-
tribution analyzed from data sets observed over several years. The est 4-month period and coldest 3-month period in international loca-
design values occur more frequently than the corresponding nomi- tions. Although generally suitable as design values, the different
nal percentile in some years and less frequently in others. periods resulted in design temperatures representing different
annual probabilities of occurrence, depending on the country; and
Data Sources
within countries, on the distribution of temperature and humidity
The three following primary sources of observational data sets conditions throughout the year typical of regional climatic zones.
were used for the calculation of design values: The design conditions in this chapter explicitly represent the same
annual probability of occurrence in any location, regardless of
1. Hourly weather observations from Surface Airways Meteoro-
country or general climatic conditions.
logical and Solar Observing Network (SAMSON) data from
NCDC (National Climatic Data Center) for 239 United States The annual cumulative frequency of occurrences representing
observing locations from 1961 through 1990 (NCDC 1991) the design dry-bulb temperatures generally correspond to the sea-
sonal design temperatures in the following fashion for locations in
2. Hourly observational records in the DATSAV2 format (provided
the mid-latitude, continental locations (characterized by a hot sum-
by NCDC) for 860 international locations and for 538 United
mer and cold winter). The 0.4% annual value is about the same as
States locations for the period 1982 through 1993, including the
the 1% summer design temperature. The 1% annual values is about
239 SAMSON locations
1°F lower than the 2.5% summer design temperature in the 1993
3. Hourly weather records for the period 1953 through 1993 for 145 ASHRAE Handbook,and the 2% annual condition corresponds
Canadian locations from the Canadian Weather Energy and approximately to the 5% summer design temperature in the 1993
Engineering Data Sets (CWEEDS) produced by Environment Handbook.
Canada (1993b). In Canadian continental locations, the 0.4% annual condition is
Two primary periods of record were used in the calculations. The about the same as the 2.5% July design temperature in the 1993
values for the United States SAMSON and Canadian CWEEDS ASHRAE Handbook. In the Pacific region and southern coastal
locations are generally based on the period 1961- 1993. DATSAV2 locations of the United States, where the extremes are generally
data were used for the 1991-1993 period for the SAMSON sites. more widely distributed throughout the year, the values in this chap-
The values for international locations and the rest of the United ter represent more extreme conditions than design temperatures in
States, whose data were analysed from the DATSAV2 files, are the 1993 ASHRAE Handbook.
based on the period 1982 through 1993. DATSAV2 is a comprehen- Annual 99.6% and 99.0% design conditions represent a slightly
sive database containing hourly observations for locations around colder condition than the previous cold season design temperatures,
the world collected from global telecommunications circuits. It is although there is considerable variability in this relationship from
quality-controlled and archived by the Air Force Combat Climatol- location to location.
ogy Center Operating Location A at Asheville, NC. Tables la, 2a Further details concerning differences between the design condi-
and 3a indicate the period of record used for each location. tions in this Chapter and previous versions are described in
In summary, data source for United States locations with the ASHRAE (1997a).
period identified as “6193” is SAMSON data supplemented with
DATSAV2 data for the last 3 years. The source for United States Applicability and Characteristicsof Design Conditions
locations with the period “8293” is DATSAV2. The sets of design values in this chapter represent different psy-
chrometric conditions. Design data based on dry-bulb temperature
Calculation of Design Conditions represent peak occurrences of the sensible component of ambient
Details of the analysis procedures are available in ASHRAE outdoor conditions. Design values based on wet-bulb temperature
(1997a), including the measures used to ensure that the number and are related to the enthalpy of the outdoor air. Conditions based on
distribution of missing data, both by month and by hour of the day, dew point relate to the peaks of the humidity ratio. The designer,
did not introduce significant biases into the analysis. Generally, the engineer, or other user must decide which set(s) of conditions and
annual cumulative frequency distribution was constructed from the probability of occurrence apply to the design situation. The addition
relative frequency distributions compiled for each month. Each of the psychrometric design conditions in this chapter allows for
individual month’s data was included if they met screening criteria several viewpoints of operational peak loads. Additional sources of
for completeness and unbiased distribution of missing data. information on the frequency and duration of extremes of tempera-
Although the minimum period of record chosen for this analysis ture and humidity are provided later in this chapter.
was 12 years (1982 through 1993), some variation and gaps in Heating Design Conditions (Winter). The 99.6% and 99.0%
observing programs meant that some months’ data were unusable design conditions in Column 2 in Tables la, 2a, and 3a are often
due to incompleteness. used in sizing of heating equipment. In cold spells, dry-bulb tem-
A station’s design conditions were included in this chapter only peratures below the design conditions can last for a week or more.
if there were data from at least 8 months that met the screening cri- Columns 4 and 5 of Tables la, 2a, and 3a provide information
teria from the period of record for each month of the year. For useful for estimating peak loads accounting for infiltration. Column
instance, there had to be 8 months each for January, February, 4provides extreme wind speeds only for the coldest month, with the
March, etc. whose data met the completeness screening criteria. mean coincident dry-bulb temperature. Column 5 provides the
Gaps of up to 5 hours were filled. A month’s data were included if mean windspeed and direction coincident to the corresponding per-
the month was at least 85% complete after filling and the difference centile design dry-bulb temperature.
between the number of day and nighttime observations was less CoolingandDehumidificationDesignConditions(Sum-
than 60. mer). The 0.4%, 1.0%, and 2.0% dry-bulb temperatures and mean
coincident wet-bulb temperatures in Column 2 of Tables lb, 2b, For example, the 50-year return period extreme maximum dry-
and 3b often represent conditions on hot, mostly sunny days. bulb temperature estimated for Terre Haute, Indiana is 104°F (M=
Theseare useful forcooling applications, especially air-condi- 96, s = 3.2, n = 50, I = 1). Similarly, the 100-year return period
tioning. extreme minimum dry-bulb temperature for Winnipeg, Manitoba is
Design conditions based on wet-bulb temperature in Column 3 -48°F (M = -33°F. s = 4.7, n = 100, I = -I).
represent extremes of the total sensible plus latent heat of outdoor This calculation is based on the assumptions that the annual max-
air. Thisinformation is useful for cooling towers, evaporative cool- ima and minima are distributed according to the Gumbel (Type 1
ers, and fresh air ventilation system design. Extreme Value) distribution and are fitted with the method of
The design conditions based on dew-point temperatures in Col- moments (Lowery andNash 1970). The uncertainty or standard
umn 4 of Tables Ib, 2b and 3b are directly related to extremes of error using this method increases with increasing standard devia-
humidity ratio, which represent peak moisture loads from the tion, increasing value of return period, and decreasing length of the
weather. Extreme dew-point conditions may occur on days with period of record; and it can be significant. For instance, the standard
moderate dry-bulb temperatures resulting in high relative humidity. error in the 50-year return period maximum dry-bulb temperature
These values are especially useful for applications involving estimated at a location with a 12-year period of record can be 5°F or
humidity control, such as desiccant cooling and dehumidification, more, Thus, the uncertainty of return-period values estimated in this
cooling-based dehumidification, and fresh air ventilation systems. way is greater for locations from the DATSAV2 data sets compared
The values are also used as a check point when analyzing the behav- to those from the longer SAMSON and CWEEDS data sets.
ior of cooling systems at part load conditions, particularly when Mean Daily Range. The mean daily range is the mean difference
such systems are used for humidity control as asecondary function. between the daily maximum and minimum temperatures during the
The humidity ratio values in Column 2 correspond to the combi- hottest month. These values are calculated from the extremes of the
nation of dew-point temperature and the mean coincident dry-bulb hourly temperature observations. The true daily temperature range
temperature calculated at the standard pressure of the elevation of is generally about 2°F greater, for the same reason discussed in the
the location. previous section.
Wind. Design wind speeds in Column 3 of Tables 1 a, 2% and 3a
are used for design of smoke management systems. Annual percen- Representativeness of Data and Sourcesof Uncertainty
tiles of I .O, 2.5 and 5.0 are appropriate for this application. Values The information in the tables were obtained by direct analysis of
for United States and Canadian locations are from Lamming and the observations from the indicated locations. The design values are
Salmon (1995), in which adjustments to the standard 33 ft anemom- provided andused as an estimate of the annual cumulative fre-
eter height are made. Wind speed values for other locations are quency of occurrence of the weather conditions at the recording sta-
taken from ASHRAE (1997a), in which no adjustment for non-stan- tion for several years into the future. Several sources of uncertainty
dard anemometer height is made. affect the accuracy of using the design conditions to represent other
Annual Extreme Temperatures. Column 6 of Tables la, 2a, locations or periods.
and 3a provides the mean and standard deviation of the annual The most important of these factors is spatial representativeness.
extreme maximum and minimum dry-bulb temperatures. The prob- Data representing the psychrometric conditions are generally prop-
ability of occurrence of very extreme conditions can be required for erties of air masses, rather than local features, and tend to vary on
the operational design of equipment to ensure continuous operation regional scales. As a result, a particular value often may reasonably
and serviceability (regardless of whether the heating or cooling represent an area extending several miles. However, significant
loads are being met). These values were calculated from the variations can occur with changes in local elevation, across large
extremes of the hourly temperature observations. The true maxi- metropolitan areas, or in the vicinity of large bodies of water. Judg-
mumand minimum temperatures for any day generally occurs ment must always be exercised in assessing the representativeness
between hourly readings Thus, the mean maximum and minimum of the design conditions. It is especially important to note the eleva-
temperatures calculated in this way are about 1OF less extreme than tion of locations in the tables because design conditions vary signif-
the mean daily extreme temperatures observed with maximum and icantly for locations whose elevations differ by a few hundred feet
minimum thermometers. or more. An applied climatologist should be consulted in estimating
Return period (or recurrence interval) is defined as the reciprocal design conditions for locations not explicitly listed in this chapter.
of the annual probability of occurrence. For instance, the 50-year Weather conditions vary from year to year, and to some extent,
return period maximum dry-bulb temperature has a probability of from decade to decade, due to the inherent variability of climate.
occurring or being exceeded of 2.0% (Le. 1/50) each year. This sta- Similarly, values representing design conditions vary depending on
tistic does not indicate how often the condition will occur in terms the period of record used in the analysis. Thus, there is always some
of the number of hours each year (as in the design conditions based uncertainty in using the design conditions from one period to repre-
on percentiles), but describes the probability of the condition occur- sent another due to short term climatic variability. Typically, the val-
ring at all in any year. The following method can beused to estimate ues of design dry-bulb temperature vary less than 2°F from decade
the return period (recurrence interval) of extreme temperatures. to decade but larger variations can occur. Differing periods used in
the analysis can lead to differences in design conditions between
T,, = M + IFS nearby locations at similar elevations in the tables in this chapter.
Design conditions may show trends in areas of increasing urbaniza-
where tion or other regions experiencing extensive changes to land use.
T, = n-year return period value of extreme dry-bulb temperature to be Longer term climatic change due to human or natural causes may
estimated; also introduce trends into design conditions, but no conclusive evi-
M = mean of annual extreme maximum or minimum dry-bulb temp. dence or consensus of opinion is available on the rapidity or nature
s = standard deviationof annual extreme maximum or minimum dry- of such changes.
bulb temperatures Wind speed is very sensitive to local exposure features such as
I = I if maximum dry-bulb temperatures are being considered terrain and surface cover. Wind speed values in Columns 3,4, and
I = -I if minimum extremes are being considered 5 of Tables la, 2a, and 3a are often representative of a flat, open
exposure, such as at airports. Wind engineering methods, as
described in Chapter 14, can be used to account for exposure differ-
ences between airport and building sites. But, estimating exposure
is a complex procedure, best undertaken by an experienced applied the following five criteria: high dry-bulb temperature, high dew-
climatologist or wind engineer with knowledge of the exposure of point temperature, high enthalpy, low dry-bulb temperature, and
the observing and building sites and surrounding regions. low wet-bulb depression. The sequences are selected according to
annual percentiles of 0.4, I .O, and 2.0 for each criteria (99.6, 99.0
OTHER SOURCES OF CLIMATIC INFORMATION and 98.0, in the case of low dry-bulb temperature). The data
included for each hour of a sequence are solar radiation, dry-bulb
Joint Frequency Tablesof Psychrometric Conditions and dew-point temperature, atmospheric pressure, and wind speed
Most of the design values in this chapter were developed by a and direction. Accompanying information allows the user to go
research project (ASHRAE 1997a). The jointfrequency tables pro- back to the source SAMSON and CWEEDS data and obtain
vide the annual and monthly joint frequency of occurrence of vari- sequences with different characteristics (i.e. different probability of
ous psychrometric combinations for each location in the tables. occurrence, windy conditions, low or high solar radiation, etc.).
The International Station Meteorological Climate Summary These sequences were developed primarily t o assist in the design
(ISMCS) (NCDC 1996) is a CD-ROM containing several tables of of heating or cooling systems having a finite capacity before regen-
climatic summary information from over 7000 locations around the eration is required, or that rely on thermal mass to limit loads. The
world. Only several hundred of these locations have observed information is also useful where information on the hourly weather
hourly weather data. A table providing the joint frequency of dry- sequence during extreme episodes is required for design.
bulb temperature and wet-bulb temperature depression is provided
for these locations. It can be usedto assist in estimating design con- Observational Data Sets
ditions for locations for which no other information is available.
For some detailed designs, a custom analysis of the most appro-
The monthly frequency distribution of dry-bulb temperatures
priate long term weather record is best. National weather services
and mean coincident wet-bulb temperatures are available for 134
are generally the best source of long term observational data. The
Canadian locations from Environment Canada (1983-1987).
WMO World Data Center A at the National Climate Data Center in
Some ASHRAE chapters have compiled design conditions for
Asheville, NC collects and makes available a signiticant volume of
locations in their regions. Local chapter offices can be consulted on
archived weather observations from around the world. The SAM-
availability of such material. State climatologists in the United
SON and CWEEDS data sets provide long term hourly data, includ-
States are often a valuable source of information.
ing solar radiation values, for the United States and Canada.
Degree-Days and Climatic Normals Increasingly, information about weather and climate services
and data sets, and the data sets themselves are becoming available
Degree-day summary information and climatic normals for the
through the Internet and World Wide Web.
United States are available on CD-ROM in the Climatography of
the U.S. (NCDC1992a, 1992b, 1994); and, for Canada, in the Cana-
dian Climate Normals, 1961 to 1990 (Environment Canada 1993a). REFERENCES:
ASHRAE. 1997a. Updating the tables of design weather conditions in the
Typical Year Data Sets ASHRAE Handbook of Fundamentals.Reseurch Report RP-890.
Software exists to simulate the annual energy performance of ASHRAE.1997b.Sequences of extremetemperatureandhumidityfor
buildings requiring a one-year data set (8760 h) of weather condi- design calculations. Reseurch Report RP-828.
tions. Many data sets in different record formats have been devel- Colliver, D.G., H. Zhang. R.S. Gates, andK.T. Priddy. 1995. Design data for
oped to meet this requirement. The data represent a typical year the I %, 2%. and5% occurrences of extreme dew-point temperature, with
from the viewpoint of weather-induced energy loads on a building. meancoincidentdry-bulbtemperature. Finul Report of RP-754.
No explicit effort was made to represent extreme conditions, so ASHRAE, Atlanta.
these files do not represent design conditions. EnvironmentCanada.1983-1987.Principalstationdata.PSD I to 134.
Weather Year for Energy Calculations, Version 2 (WYEC2) Atmospheric Environment Service. Downsview. Ontario.
for 52 United States and 5 Canadian locations is available from EnvironmentCanada.1993a.Canadianclimatenormals(1961-1990).
ASHRAE. A user manual and software toolkit explains the devel- Atmospheric Environment Service. Downsview, Ontario.
opment, format, and characteristics of this data, and provides access Environment Canada. 1993b. Canadian weather energy and engineering
and toolkit software. data sets (CWEEDS files) and Canadian weather for energy calculations
Typical Meteorological Year(TMY) files were produced using (CWECfiles)User'sManual.AtmosphericEnvironmentService,
an objective statistical algorithm to choose the most typical month Downsview, Ontario.
from the long term record. These files were originally intended for Lamming, S.D.and J.R. Salmon. 1994. Wind data for design of smoke con-
the design of solar energy systems, and accordingly solar radiation trol systems. Finu/ Report oj'ASHRAE RP-816. ASHRAE, Atlanta.
values were weighted heavily. A new version of these files, TMY2, Lowery, M.D. andJ . E. Nash. 1970. A comparisonof methods of fitting the
is available for 239 United States locations from the National double exponential distribution. Journul ofHydro/ogy IOU): 259-275.
Renewable Energy Laboratory (Marion and Urban 1995). Marion, W. and K. Urban. 1995. User's Manual for TMY2s. typical meteo-
CanadianWeatheryear for EnergyCalculation (CWEC) rological years, derived from the 1961-1990 national solar radiation data
base.NREWSP-463-7668,E95004064.NationalRenewableEnergy
files for 47 Canadian locations were developed for use with the
Laboratory, Golden, CO.
Canadian National Energy Code, using the TMY algorithm and
NCDC. 199 I. Surface airways meteorological and solar observing network
software (Environment Canada 1993b).
(SAMSON) data set. National Climatic Data Center, Asheville, NC.
Seasonal Percentiles of Dew-Point Temperature NCDC. 1992a. Monthly normals of temperature, precipitation, and heating
and cooling degree-days.In Climurogruphy ofthe U.S. #8 I. National Cli-
Seasonal percentiles of dew-point temperature are available for matic Data Center, Asheville, NC.
381'United States and Canadian locations in Colliver et al. (1995). NCDC. 1992b. Annual degree-days to selected bases (1961-1990). In C/;-
mutogruphy ofthe U S . #8 I. National Climatic Data Center.
Sequences of Extreme Temperature and Humidity NCDC. 1994. U.S. division and station climatic data and normals. National
ASHRAE (l997b) is a compilation of extreme sequences of 1,3, Climatic Data Center, Asheville, NC.
5, and 7-day duration for 239 United States (SAMSON data) and NCDC.
1996.
International
station
meteorological
climate
summary
144 Canadian (CWEEDS data) locations based independently on (ISMCS). National Climatic Data Center.
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80 16 59 13 57 62 75 60 73 59 10 57 69 65 55 65 65 53 60 63 21.2
Nome 57
69 65 55 61 54 58 66 56 63 55 60 55 64 61 53 60 59 51 56 57 10.9
Northwy 5878 14 57 71 56 60 76 58 11 51 69 54 66 62 53 62 61 51 60 59 20.0
Port'Heiden 6 4 5 4 61 52 59 51 ' 54 '62 54 60 52 58 51 57 ' 59,: 50 54 $ 7 . ' . 49 51 ' ,55 9.7.
Saint Paul Island 51
54 52 50 51 49 51 53 50 52 49 50 50 55 52 49 52 51 48 50 50 5.4
Sitka 59
66 64 58 61 57 60 65 59 62 58 60 58 74 62 51 71 60 56 68 59 9.2
Talkeetna 11 60 73 58 '70 51 62 74 60 70 58 67 51 71 64 56 67 62 54 64 61 16.4
Valda 56
69 66 55 62 54 58 67 56 64 55 61 53 60 59 53 59 51 52 57 56 12.2
Yakutat 56
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ARIZONA
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Page 62
99 97 62 95 61 66 85 65 86 64 86 60 92 74 58 85 74 56 80 74 23.8
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.....
. I 110 70
Int'l A i r n n r t ~~ 1 O8 70 106 70 16 97 75 96 14 95 11 118 82 69 111 84 61 104 85 23.0
P h e l , LukeAPB 110. 11 101 71 105. 11 18 97
16 97 75' 96 14. 130
85
I1
118
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~~~~~~~ 608960916094 986171104637964
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Safford, Agni Center 102 66 99 66 97 65 11 89 71 89 69 88 67 111 17 66 106 76 64 102 71 34.1
Tucson 104 65 102 65 100 65 72 88 71 81 10 86 69 116 76 61 111 76 66 106 71 29.4
Winslow 95 60 93 60 91 59 65 80 64 81 63 80 61 95 11 59 91 69 58 85 69 21.4
Yuma 111 12 109 72 106 12 80 96 78 95 77 95 76 136 81 14 127 88 11 117 89 23.8
. . .. ,
Blvtheville. Eaker MB 95
78
91 71
16'
18.7
142
135
86
85
17
149
88
78
89
78
91
80
92
82
17
93
MDB = mean coincident dryhub temperature, 'F M W S = mean coincident wind speed, mph StdD = standard deviation HR = humidity ratio
MWB = mean coincident wet-buh temperature, 'F MWD = mean coincident wind direction A = airpon DP = dew-point temperature, 'F
Elev.
StdP Heating DB Speed 0.4% 1% 99.6% 0.4%
StdD D8Mean DB
~ ”
station WMOx
Lat. Long. ft pia Dates 99.6% 99% 1% 2.5% 5% M
M
WD
WD
B
SB
SPWD M W S P W D Max Min Max Min
GEORGU . .
Albanv 30 27
14.593
8293
194
722160
84.18
31.53 250 17
9 360
19 4 50 18I550 19 100
7.2 2.2 17
Pocatello 725780
112.60
12.468
42.92
4478
6193 -7 O 29 25 305023 6 36 27 36 I I98250
2.3-15 9.1
ILLROB
Belleville, Scott MB 724338
38.55 89.85 14.457
453
8293
3 203223
IO151821 7 31 1907360 1007.2
3.1-3
Chicago.
Field
Meig 725340
41.78 2619
87.75
2223 14.367
3623
8293
-4 17 3023 12
97
220
13
240 -10 8.1
3.2
Chicago, OH& Int'l A 725300
41.98
87.90 67314.342 6193 -6 -1 26 23 21 27 24 23 23 IO 270 230
-12
12
2.8
6.5
96
Decltur 72531'6.
39.83
88.87 682 14.337 8293 -2 3 24 :22 20 27 24 24 27 13 310 12 210 99 -10 5.8 7.2
Glenview, NAS 725306
42.08
87.82 653 14.352 4
8293 -3 22 19 17. 23 17 20 25 11 250 IO 240 98 -10 3.1 7.7
Marseilles 744600
41.37
88.68 73814.308 8293 -5 1 26 22 20 28 18 25 21 12 290 IO 250 96 -11 4 5.9
MolineDavenport LA 725440
41.45
90.52 59414.383 6193-3 -8 26 23 20 28 16 24 18 9 290 12200 97 -14 2.7 6.0
Peoria 725320
40.67
89.68 66314.347 6193 -6 -I 25 22 20 26 16 23 19 9 290 11 180 96 -12 3.3 6.1
Quincy 7243% 39.95 91.20 768 14.292 8293 a 2 26 23 ' 2 0 28 23 24 22 12 330 12 210 97 -10 3.6 8.1
ROCldord 725430
42.20
89.10 741
14.306 6193 -10 -4 26 23 21 26 18 23 20 9 290 13
200 95 -16 3.1 5.5
Springfield 724390
39.85
89.67 61414.373 2
6193 -4 25 23 21 27 25 24 27 IO 270 12230 97 -11 2.8 5.5
West Chicago 725305
41.92
88.25 75814.297 8293 -7 o 23 21 19 25 . 13 23 20 I I 290 11 240 96 -14 3.2 7.7
INDlANA
Evansville 14.491
387
724320
87.53
38.05 22 17 19 6193
22 9 3 97 20
240339 320 7 34 -4 2.7 8.5
Fon Wayne 725330 41.00 85.20 827 14.262 6193 -4 2 25 23 20 27 19 24 22 IO 250 12 230 95 -11 3.6 5.2
Indianapolis 724380 39.73 86.27 807 14.272 6193 -3 3 24 21 19 25 26 22 27 8 230 11 230 94 -10 2.8 6.8
Lafayette,PurdueUniv 724386 40.42 86.93 607 14.376 8293 -5 3 22 , 20 18 24 26 22 27 9 270 12 220 97 - I I 3.8 7.7
Peru, Grissom MB 725335 40.65 86.15 810 14.270 8293 -3 4 24 21 18 29 20 24 22 11 270 9210 96 -8 3.8 7.4
South Bend 725350 41.70 86.32 774 14.289 6193 -2 3 25 23 20 26 22 23 23 13 230 12230 95 -10 3.3 5.8
Tem Haute 724373 39.45 87.32 584 14.388 8293 -3 23 5 20 18 23 31 21 32 8 150 11 230 96 -10 3.2 7.9
KOWA
Burlinaton 14.328
8293
725455
699
91.13
40.78 -4 171 19 21 310 9 24 18 21 12 1198200 -10 4 6.8
Cedar Rapids 725450
14.240
41.88
91.70
8293
869 -11 -5 12 2529 20 22 26 14 I O 300 5.43.611
-1596180
Des Moines 725460 41.53 93.65
965
14.190 6193 -9 -4 27 24 21 28 14 24 19 11 320 12 180 98 -15 3.4 5.1
Fon Dodge 725490 42.55 94.18116514.087 8293 -13 -7 27 23 21 29 IO 26 IO 11 340 11 190 96 -17 4.9 4.9
lamoni 725466 40.62 93.95
112214.109 8293 -6 O 19 17 15 21 23 19 20 7 320 210 9 99 -12 4.3 6.8
b n CIty 725485 43.15 93.33121414.062 6193 -15 -10 , 27 23 22 30 9 27 . I 2 12 300 14 200 97 -23 3.6 11.4
Onumwa 725465 41.10 92.45
846
14.251 8293 -5 O 29 26 23 31 20 28 24 13 320 15 200 98 -12 4 6.8
SiOUK city 725570
42.40
14.119
96.38
1102
6193 -11 -6 29 25 16 22
28 14 31 I I 14320 4.7
I80
3.6-1899
Spencer 726500
13.998
1339
95.15
43.17
-16
8293 -1120 22 24 13 25 234.06.3-20 IO 12300
1399180
Waterloo 14.234
725480
879
92.40
42.55 6193 -14 29 -9
22 24 27 5.9
IO3.5
13-20
259618013300 9
MNSAS
Concordia 13.925
8293
724580
1483
97.65
39.55 -4 28 3 32
25 28 22 1625
36013 32 9.4 4 IO -8 104
Dodge City 724510
13.370
2592
99.97
37.77
6193 31 24 27
O 30 6 31 32 27 13 104
1020017 -6 5.62.8
Ft Marshall
Riley, AAF 724550
39.05
96.77
1066
14.138
8293 21 5 -2 39201618 -5104
180
1893505 37 3.1 9.0
Garden City 724515 37.93 100.72
13.224
2890
8293 4 -3 26104
30
1901636012 34 25
23 32 29 2.7 -9 6.5
Goodland 724650
39.37
101.70
12.840
3688
6193 2 -3 28 32 30 27
2427 31 12 270 13102
180 -11 2.9 6.6
WMO# = World Meteorological Organization numher Elev = elevation, li DB = dry.hulh temperature, 'F
Lat = latitude Long. = lnngitude StdP =standard
pressure at station elevation,psia WS = wind speed, mph
Beach
PalmWest 90 78 91 13.1 83 78
79
137 76
888984
80 139
77 77 84 143 77 87 78 88
Boise 94 63 96 63
64 9091 66 62 8987 63 71 72 555872 79 67 53 71 30.3
Buriey 87 62 94
90 63 61
86 67 65
63 84 60 83 29.07572 9078 56 58 72 84
64 Idaho
60 Falls
86 60 89 61 92 68 73 54 69 81 56 71848288 63 58 81 61 34.0
Lew$ston 63 9790 65
64 93 61 91 71 656471 8956 72 87 76 58 54
71 65 26.5
Mountain Home, MB 63 99 91 64 91
96 666261 93 63 58 70
89 54 71 79 64 52 69 32.8 71
Mullan 61 87
84 62 60 80 65 81 63 7986 62
60 77 58 69 56 68
80 66 75 28.1
87 60 90 61
Pocatello 93 59 64
62 84 83 61 8270 5776 8355 70 53 70
32.1 69
ILLINOIS
78 Scott
Belleville, 92 MB
8Ò 76 90 779593 78 87 141 779088 77 131 74
76 85 136 8 4 19.8
Chicago, Me$ Field73 89 74 92 8677 7174 85 76 88 83 132 74 71 80
84121 72 16.080 115
Chicam
."" 77 O'Hare
- 71
-- 86
~
"." 73
Int'l
O ~ I
A 88 74 91
~ ~
74 85 75 88 82 123 72 83
84 130 74 71 80115 19.6
eatur 94 9176 .75 88 74 I9 78'90 7869 86 '16 140 ' 86, 75 ,, 133 %4 73 121, , 83 '20.0
76 90 78Glenview.
71 NAS
~~ 87 73 89 75 93 82 120 72 85 130 74 8784 74 81 113 70 17.6
Marseilles 93 74 89 73 86 71 78 89 76 86 74 84 75 135 85 73 126 82 71 117 81 19.4
MolineDvenpon W 93 76 90 74 87 73 78 90 77 87 75 85 75 134 85 73 127 83 72 120 82 20.0
Peoria 92 76 89 74 86 73 78 89 77 86 75 84 75 137 85 74 130 83 72 123 81 19.5
Q U W 9491 76 7514 88 78 89 II 88 16 85 16 138 84 13
'T482 132 126 82 18.9
Rocldord 91 74 88 73 85 71 77 87 75 85 74 82 74 132 84 73 124 81 71 116 79 19.8
Springfield 93 76 91 75 88 74 79 89 77 88 76 85 76 139 86 75 132 84 73 125 82 19.4
Wmt
.. -.Chicam
......o- 91 75 88 74 86 72 78 88 76 85 74 83 76 138 85 74 130 83 71 119 80 19.8
INDUNA
90 79 Evansville
75 .. 90 76 92 77 94
~ ~~ 78 89
77 86 87137 76 83 126 73 7584 132 19.8
Fon Wayne85 73 88 74 90 7186 77 7574 84
72 83 82131 74 124
71 81 19.9 79 117
83 75 86 7775 8891 78 73
indianaplis 8886 74 81 125 73 8275 13113774 84 18.9
lahyelte, Purdue Univ
Peru, Grissom MB 75 89 75 93
South Bend 72 87 73 90
93 75 75 90
75
79 88
87
86 8577 71
:!
86 77 89 79
8986 77139 76 84 75
134 75 85 142
73 84
75 76 83
80
74 123
81 72 83 130
85 132 74 8 3 73 12.5
8183127 73
78 116 71
82 20.9
18.5
18.6
Terre Haute 75 88 76 9390 76 80 89 78 87 76 25 7786 144
82 131 74 7684 136 19.6
IOWA
Burlin!zfon 76 94 78 73 91
88 76 89 7776 88 85
136 75 85 8274 12413172 83 18.7
Cedar Rapids 93 75 89 74 86 72 78 89 76 86 74 84 75 136 84 74 129 83 71 120 20.0
80
Des Moines 93 76 90 74 87 73 78 89 76 87 75 85 74 133 85 73 126 83 71 120 18.5
81
Fort Dodge 92 75 88 73 86 71 77 88 75 86 74 83 74 133 84 72 123 82 70 116 79 18.5
Lamoni 96 74 92 74 89 72 77 89 76 87 75 85 74 134 83 73 127 82 71 120 80 18.9
Mason city 91 74 88 73 85 71 77 a7 75 85 74 82 I5 135 84 13 126 82 I1 118 80' ' 20.8
Onumw 95 75 92 75 88 73 78 90 76 88 75 86 75 136 84 74 130 83 72 121 81 18.7
sioux city 94 75 90 74 88 72 78 89 76 87 75 85 75 135 86 73 127 84 71 120 82 20.4
Spencer 91 75 88 73 85 71 77 88 75 86 73 82 74 134 84 72 123 82 70 117 79 20.2
Waterloo 91 75 88 73 85 71 77 87 75 85 74 83 74 132 84 72 124 82 71 117 80 20.0
W.4s
Concordia 1O0 73 96 72 93 72 7776 123
90 72 84 133 74
89 88 74 82
81 118 70 22.5
Dodge City I O0 70 97 70 94 69 74 90 73 89 71 88 70 120 79 68 114 78 67 109 77 24.3
Ft Riley, Marshall MF 99 75 96 74 93 74 78 90 77 90 75 88 75 136 86 73 130 83 71 120 82 22.7
Garden City 1O0 69 97 69 94 69 73 89 72 89 71 88 69 118 79 67 113 78 66 108 77 27.5
Goodland 97 66 94 66 91 65 70 86 69 84 68 84 66 111 74 65 106 73 63 100 73 26.5
E B = mean mincident dry-huh temperature, 'F M W S = mean coincident wind speed, mph StdD = standard deviation HR = humidity ratio
MWB = mean coincident wet-hulh temperature,'F MWD = mean coincident wind direction A = airport DP = dew.point temperature, 'F
aev. StdP
Heatinp:DB Speed 0.4% 1% 99.6% 0.4% Mean DB StdD DB
Station WMO# Lat. Long. H psla Dates 99.6% 99% l
y 2.5% 5% WS MDB WS MDB MWSPWD MWSPWDM a x Min M aMx i n
Russell 724585 38.87 98.821864 13.732 8293 -4 3 29 26 23 29 33 25 35 11 IO 16
190 105 -8 3.6 8.5
Salina 724586 38.80 97.651273 14.032 8293 -3 4 27 23 22 28 33 24 34 11 360 15
180 106 -7 2.3 9.9
Topeh 724560 39.07 95.62
886 14.231 6193 -2 4 25 22 20 25 28 22 29 9 320 12
180 100 -8 3.8 7.4
WKhita, Airpon 724500 37.65 97.431339 13.998 6193 2 8 29 25 23 28 30 26 31 13 360 16
200 105 -4 2.9 6.3
Wchita.McConnellAFB 724505 37.62 97.271371 13.982 8293 2 10 25 23 20 25 38 23 36 11 360 12 190 105 -I 2.7 7.7
"" .
, .
W
Aumsla
- 0
726185 44.32'14.510
8293
351
69.80 -3 1 21 23 22 221920 25 IO 320 11 210 93 -103.43.1
Bangor 726088 44.80 68.83 194 14.593 8293 -7 -2 22 19 17 24 18 21 20 6 300 IO 240 94 -16 2.9 5.9
Brunswick NAS 743920 43.88 69.93 75 14.655 8293 -2 2 20 17 15 21 27 19 25 4 340 190
9 96 -12 7.9 6.1
Caribou 727120 46.87 68.02 623 14.367 6193 -14 -10 28 24 22 30 13 27 11 IO 270 13 250 90 -23 2.8 4.5
Limestone,LoringAFB 727125 46.95 67.88 745 14.304 8293 -13 -9 23 20 18 25 12 22 11 7 300 260
9 91 -20 2.3 2.9
Portland 726060 43.65 70.32 62 14.662 6193 -3 2 24 21 18 24 26 21 25 7 320 12 270 93 -13 3.6 5.5
19.1
83
132
7583
135768413976897890799179769377957797
Shreveport , .
MAWE
6775
1066877113
70 776980718373678069847187
Augusta 100 18.4
74
70 77 69Bangor
81 71 83 73 67 81 69 84 71 87 20.5
739967111
751046878
Brunswick70 777080718373678069847187
NAS I I I 6978 105 6776 100 19.1
74
5
2976675
104687611270Caribou
766877708172667967826985
limestone, loring
18.7
71
94
65 MB
101
7267
107
75
68
74
67
76
6979
71
64
78
6680
68
84
7177 7080728374688070837186
Ponland 11
67 4107
76 6979 101 18.7
74
".4ND
CampSprings,kdrerrsAFB18.7
124
8073
129
82
74
134
8375
857587
7794
887873
8874
91
75
Airpon
Baltimore, BWT18.8
120
80
72
125
8174
132
83
75
85
75
86
76
88
7873
8874
9175
93
75
136
84
76
lt~Park,PatusentRiverNAS85
76
87
77
88
7974
8775
9076
93 131 15.8
125
82
74
83
18.7
81
1327582
137768414478857786788880758876907793
Salisbun
MilSSACAUSEITS . .
911371 8011972 81 72 83 74 87 75 70 84 71 87 73 91
Boston
East Falmouth, Otiskgb 75
69
79
72
82
72
85 81 74 78 72 76 74 125 78 72 118 76 71 113 75 14.6
Weymouth, S Wepouth NAS 9273
87
72
85
71
77 87 75 84 73 81 74 129 82 72 118 79 70 111 78 '19.6
74 68Worcester 80 69 83 71 85 82 72 80 70 77 71 119 78 69 112 76 68 105 75 16.6
MICHIGAN
74 67 Alpena
81 69 84 71 87 83 72 81 70 78 71 116 79 69 IO7 76 67 100 74 22.9
76 70 84 72 87 73 90
Detroit, Metro 86 74 84 73 81 73 125 83 71 118 80 70 111 78 20.4
75 70 83Flint 71 86 73 88 84 74 82 72 80 73 125 81 71 116 78 69 110 77 20.6
Rapids
G m d 76 70 84 71 86 13 89 85 74 83 72 81 73 126 81 71 118 79 70 112 77 20.7
Hancock 73 67 8680 769 1 83 82 71 80 70 77 70 116 79 69 109 76 67 103' 74 20.6
Harbor74Beach68 83 69 86 71 90 86 72 83 70 80 70 113 82 68 106 80 67 100 78 14.4
77 71 Jackson
84 73 86 74 88 86 75 83 73 81 74 134 83 72 123 81 71 117 78 20.3
76 70 Lansing 84 72 86 73 89 85 74 83 73 81 73 127 81 72 120 79 70 114 78 21.7
Marquette,MB Sayer 7265
79
6883
6986 83 70 79 68 75 69 113 77 67 106 74 66 99 73 22.1
Maquene/lshpeming, A 72 65
7867
8269
85 82 70 78 68 75 69 111 77 67 104 75 65 98 72 22.1
Mount Clemens. k g b 77
7184
728774
90 87 75 83 73 80 74 131 83 72 120 81 70 113 78 19.6
75 69 Muskegon
81 70 83 71 85 82 73 80 71 78 72 122 80 70 115 77 69 109 76 18.1
Oscoda, Wurtsmith
MB 75
6983
7186
7289 86 73 83 71 79 72 120 80 70 112 79 68 106 77 21.4
74 68 Pellston
81 69 85 71 87 83 72 81 70 78 70 115 78 69 108 76 67 103 75 23.9
77 Saginaw
70 84 72 87 74 90 86 75 84 73 81 74 132 83 72 120 80 70 112 78 21.2
Marie
Sault Ste. 72667768806983 80 70 77 68 74 69 111 76 67 103 74 65 .95 12 21.9
Seul Choh Point 70647465766678 76 68 72 66 71 68 106 74 67 101 72 65 94 70 13.9
74 Citv
Traverse 68 83 70 86 71 89 84 72 82 70 80 71 117 80 69 109 78 67 103 76 22.0
MINNFSOTA
9.3
771096879116708212372 807182738675698370867289
Alesandria
Brainerd. Pequot Lakes 88 70 85 68 81 66 72 85 70 82 68 78 68 108 81 66 102 77 65 96 75 21.6
Duluth 84 69 81 67 78 65 72 81 69 78 67 75 68 110 77 66 102 75 64 94 72 20.2
Hibbing 85 70 81 68 78 66 73 82 71 78 68 75 70 116 78 68 108 76 66 101 73 23.2
International Falls 86 69 83 67 80 66 72 82 70 79 68 77 69 112 78 67 103 75 65 96 73 21.8
?&MapolisSI.h U l 82 72
84
74
88
7670
8571
887391 73 71
83
124 116 109
79
69
81 19.1
Redwood Falls 92 74 88 72 86 70 77 89 75 85 73 82 75 135 83 72 123 81 70 116 80 20.7
Rochester 88 72 85 71 82 70 76 85 74 82 72 80 73 128 81 71 120 79 69 111 77 19.7
MDB = mean coincident dry-bulb temperature, 'F WS = meancoincidentwindspeed, mph StdD = standarddeviation HR = humidity ratio
W B = meancoincidentwet-hulhtemperature, 'F "D= meancoincidentwinddirection A = airport DP = dew-point temperature, 'F
Bilod. Keesler MB
~I
91 79 92 78
81 78 89 89 88 80 80 87 79 86151
' ' 7 8 " 147 85 78 144 13.0
' 84
91 Columbus,
80MB 76 92 76 94 77 96 78 89 1417877 88 85136 76 83132 75 82 19.3
Greenwood
~~ ~ 96 78 94 7817 93 86
91 14881 78 89 8079 90 17 143 85139 76 84 19.1
J2cbn 95 77 93 92
76 76 80 90 19., 8 9 .,.. 78 88 71. 142 84 i ~,36. 138' ' ,83 75 . 134 , ' 82': 1 9 2
' ~ ' '
.blcrmnh
.~ """ 79 1676 9491 76 92 89 78 88 141 7877 87 83138 76 19.8 81 82135 75
Meridian 96 77 94 76 92 16 79 91 78 90 77 88 76 139 84 75 134 83 74 130 83 20.3
Tllwln
.-r -.- 96 16 94 76 92 75 79 89 78 89 77 88 76 137
,.
83 75 134 83 74 131 82
.. 18.9,.
. . ,.,, . . , .,. ., . . . . .
. . . . ,, ,. ."
. . ...
,
. , , ,, , ,
MIssouRl . . ,. ..-,. ,,< . '
,
, ..
Caw
-c-
Gimrdmu 77 96 76 9491 77 90 8078 92 77 88 78 136 76 86 141 75 85 132 83 19.8
Columbia 75 92 75 95137 75 86 75 88 77 89 89 78 74 85 130 74 83 124 72 82 20.3
77 Joplin
90 78 74 91 75 96 94 75 137 75 89 88 76 85
132 74 85125 72 83 20.0
5 87 76 89 Kansas
77 90 city 78 74 90 75 9693 75 84125 73 83 18.8
Poplar Bluff 95 1 7 7692 90 8076 90 .78 88 77' 81 II r4;1 85. :..,?h i '138 83 -?I5 ' : 133 . 82::. :20:0 ,
Valentine 94 68 97 67 90 61
90 72 71 89 69
67 87 110 79 6578 103 63 9426.5 77
NEVADA
Elko 92 60 95 59
58 90 85 63 61 84
84 60 84 57 68 54 75 66 51 67
38.4 67
Ely 89 56 8755 56 85 60 78 59 78 58 78 55 82 64 53 75 64 50 68 65 34.6
Las Vegas, Int'l Airport 651036610666108 71 95 70 93 69 93 65 102 79 63 92 81 60 84 85 24.8
Mercul?. 102 65 98100 64 63 69 88 67 89 66 89 64 102 72 60 89 77 58 80 80 25.9
North LasVegas,Nellis AFB 108 106
6768 104 66 72 94 71 94 70 94 67 106 19 64 .97 82 61 86 84 26.3
Reno90 60 92 95 61 59 63 87 62 86 60 85 56 77 69 53 69 69 50 63 68 37.3
Tonopah 92 94 58 57 89 57 62 83 61 82 60 81 56 83 67 53 74 68 50 67 69 31.1
92 Winnemucca
60 94 61 97 59 63 88 62 87 60 86 56 79 68 53 69 67 50 62 68 37.4
NEWHAMPSHIRE
Concord 90 70 71 87 84 68 74 85 73 82 71 19 71
70 79118 24.176111
10568 77
Lebanon 71 88 69 86 83 68 74 84 72 82 70 79 70 113 79 69 108 77 67 103 75 23.0
Mount Washington 54 6056 56 54 58 58 59 56 57 54 56 58 90 58 56 84 57 54 78 55 8.5
Portsmouth,
Pease MB 72 89 85 70 83 70 75 84 73 82 72 79 73 123 85 71 113 77 69 106 76 18.2
NEWJERSEY
72 86Atlantic 73
City 88 74 91 77 87 76 84 75 82 75 131 81 74 125 80 72' 18.1
79
120
Millrille 87 92 74 15 89 13 78 87 76 86 75 83 75 134 81 74 129 80 73 125 80 18.7
Newark87 73 90 93 74 71 77 88 76 85 74 83 74 127 81 73 121 80 71 116 80 15.9
3 87 74
Teterboro 89 76 92 78 88 77 87 75 83 76 134 84 74 128 82 72 119 81 18.4
Trenton, hlcCuire MB 9390 75 87 74 73 78 89 76 87 75 84 75 132 83 74 127 82 72 118 80 18.9
NEW MWCO
Alamogorda,
Holloman MB 98 63 96 93 63 63 68 67
87 85 67 30.273 85 61 6572 98
92 i06 62 72
Albuquerque 60 96 93 6060 91 65 83 64 82 64 81 61 98 68 60 93 69 58 89 69 25.4
6 96 66
Carlsbad 98 65 101 72 88 71 87 70 85 69 121 76 68 116 76 67 I11 75 25.4
Clavton 94 62 88 91 62 62 67 84 65 84 65 82 61 98 72 60 94 71 59 90 70 26.1
MDB = mean coiincident dry-hulh temperature, 'F MWS = mean coinadentwindspeed,mph StdD = standarddeviation HR = humidity ratio
MWB = mean coincident wet-hulhtemperature, 'F MWD = mean
coincident
wind direction A = airport DP = dew-point temperature, 'F
NOW CAROLINA
Arheville 13.580
6193
723150
2169
82.55
35.43 28 23 26 26 19 22
11 25 16 6.8 2.6 3 91 340I I9 340
Cape Hatteras 723040 35.27
75.55 IO 14.690 6193 26 29 26 22 20 27 47 23 47 11 340 11 230 91 20 2.0 4.9
Charlotte 723 I40 35.22
80.93
768
14.292 6193 18 23 20 17 15 20 44 18 45 6 50 240
9 97 IO 2.9 6.0
Cheny Point, hlcas 723090 34.90
76.88
14.680
30 8293 24 28 19 16 15 19 43 17 48 5 IO 240
7 100 12
2.5 8.5
Fayettevlk, Port Bragg 746930 35.13
78.93
243
14.567 8293 22 27 17 14 12 19 42 16 44 4 10 6 240 100 15 3.8 6.8
Goldsborn, Johnson AFB 723066 35.33
77.97
108
14.638 8293 22 27 17 14 12 18 46 15 44 4 270 260
8 100 14
3.1 7.4
Greensboro 723170 36.08
79.95
886
14.231 6193 15 19 19 17 15 20 40 18 40 7 290 230
8 96 2.7
7 5.0
Hickory 723145 35.73
81.38
I188
14.076 8293 18 23 17 15 13 18 41 16 41 4 320 240
9 97 3.2
8 6.8
Jacbonville, NewRiverMcaf 723096 34.72
77.45
14.681
26 8293 23 27 I8 16 14 19 49 17 47 5 350 240
7 99 2 13
,
8.8
New Bem 723095 35.07
77.05 20 14.685 8293 22 27 18 16 14 19 49 17 47 6 10 240
8 99 13 1.4 8.3
RaleigIvQurharn 723060 35.87
78.78
440
14.463 6193 16 20 21 18 16 21 42 19 43 8 360 240
9 96 9 2.9 5.3
Wilmington 723013 34.27
77.90
14.678
33 6193 23 27 21 19 17 22 51 20 48 7 320 IO 220 97 17 2.2 5.7
Winston-Salem 723193 36.13
80.22
971
14.187 8293 18 23 19 17 15 21 38 19 38 7 290 240
8 96 8 , 2.7 5.8
N O M E DAROTA
Bismarck 727640 46.77
100.75166013.835 6193 -2 I -16 29 25 22 29 13 25 290
180
13716 100 -30
3.6 6.4
Devils lake 727580 48.10
98.87
145313.940 8293 -23 -19 26 22 20 27 12 24 IO 9 300 I I IO 98 -27 7 5.0
Fargo 727530 46.90
96.80
899
14.224 6193 -22 -17 31 27 24 32 7 28 7 8 180 14
160 98 -27 3.4 4.4
Grand Forb, MB 727575 47.97
97.40
912
14.217 8293 -20 -16 27 24 21 30 9 26 13 7 290 13 180 98 -25 4.7 4.9
Minot, AFB 727675 48.42
101.351667
13.832 8293 -2 1 -16 28 24 21 30 I8 27 16 IO 310 12 150 101 -25 3.8 7.4
Minor, Int'l Aiirport 727676 48.27
101.281716
13.807 6193 -20 -16 28 24 22 30 14 27 14 12 290 13 200 98 -25 3.0 4.8
Williston 727670 48.18103.63
190613.711 8293 -24 -18 27 23 21 28 25 24 20 8 220 14 150 101 -30 4.5 8.3
OHIO
r\)aon/Canton 725210 40.92 81.43
123714.050 61 93 O 5 24 21 19 25 26 22 26 11 270 IO 230 92 -7 2.9 7.0
Cincinnati, Lunken Field 724297 39.10 84.42
482
14.441 8293 5 12 21 19 17 22 35 19 33 260
9 IO 210 96 -3 3.2 9.4
Cleveland 725240 41.42 81.87
804
14.274 6193 1 6 26 23 20 27 28 24 28 12
230 12230 93 -6 2.8 6.3
Columbus, Int'l .urport 724280 40.00 82.88
817
14.267 6193 1 6 23 20 18 24 30 21 25 9. 270 1 1 270 94 -6 2.6 7.1
Columbus, Ricknbck MB 724285 39.82 82.93
745
14.304 8293 3 IO 21 18 16 23 26 20 27 7 210 270
8 96 -4 4.5 8.6
Dayton, Inr'l Airport 724290 39.90 84.20
100414.170 6193 -1 5 24 21 19 25 26 22 28 I I 270 11 240 95 -8 2.9 7.0
Dayton, Wright-Paterson MB 745700 39.83 84.05
823
14.263 8293 1 8 21 18 16 23 28 21 30 270
7 240
9 96 -7 3.2 7.7
Findlay 725366 41.02 83.67
810
14.270 8293 -2 4 23 20 19 25 34 22 29 I I 250 12 210 94 -9 3.8 7.9
Mansfield 725246 40.82 82.52129614.020 6193 -1 4 25 22 20 28 28 25 26 13 240 12 240 91 -8 2.8 6.0
Toledo 725360 41.60 83.80
692
14.332 6193 -2 3 23 20 18 25 25 22 21 IO 250 1 1 230 95 -10 3.0 5.4
Youngstow 725250 41.27 80.67118414.077 6193 -1 4 23 21 19 24 22 22 21 IO 230 IO 230 91 -8 2.5 5.8
Zanesville 724286 39.95 81.90
899
14.224 8293 2 9 19 18 16 21 32 19 31 240
7 220
9 94 -7 3.6 8.5
ORUHOMA
Altus. MB 21 23 19723520
13.978
13
1378
99.27
34.67
8293 1940 24 21 4220 9 7IO107190 7.73.4
Enid, Vance
MB 723535
36.33
97.92
1306
14.015
8293 5 12 26 23 20 27 38 23 38 12 10 11 190 105 1 3.6 6.7
lawton,FortSilVPostField 723550 34.65
98.40
1188
14.076
8293 12 19 24 21 19 26 35 22 36 1I IO 11 170 103 2.5
8 7.4
MeAIeStW 8293
14.291
77195.78
34.88
723566 IO 17 20 18 16 21 47 19 45 9 360 9 1 9 0 102 4 4 8.3
OklahomaCiry,TinkerMB 723540 35.42
97.38
1293
14.022
8293 IO 17 24 22 19 25 42 22 42 IO IO I l 190 103 3.2
6 6.1
OklahomaCiy,W. RogersA 723530 35.40
97.60
1302
14.017
6193 9 15 29 25 23 29 33 26 37 15 360 13 180 103 3.4
4 4.9
Tulsa 6193
14.34067695.90
36.20
723560 9 14 25 23 21 24 46 22 40 I I 360 12 180 103 3.6
3 5.6
OREGON
Astoria 6193
14.68323123.88
46.15
727910 29 19 22 25 29 25 51 24 49
87
320
1290 8 20 4.5 6.1
W O # = World Metenrological Organization numher Elev = elevation, fi DB = drphulh temperature, "F
Lat = latitude Long. = longltude St@ =standard pressure at station elevation, psia WS = wind speed, mph
mite
76 Plains71 84 72 87
89 74 73 83 75 86 80 120 72 80
80 128 74 . . 71 114 78 18.0
. . , "...
. .., ,
NORTH CAROLINA . . . . i .
RaleighiDurham 75 90
93 76 74 88 78 88 77 87 76 85 75 134 82 74 130 81 73 125 80 18.8
Whington 91 93 79 78 89 77
Winston-Salem
74 89 74 92 87 73
NORTA DABOTA
Bismarck 67 90 93 68 86 66
Devils Lake 91 69 84
87 67 66
Pargo 70 88 91 71 85 69
Grand Forks, AFB 91 71' 88 85 69 68
MB Minot, 90 68 94 86 67 66
Int'Minot.
l Aimort66 88 67 92 84
~ 65
~~
Williston 96 66 67 92 65 87
OBH)
70 83 Akrow'
71 Canton85 72 88
Cincinnati, Lunken Field 93 7475 90 73 88
Cleveland 73 89 86 72 84 71
Columbus, Int'l Airport 74 90 73 88 86 71
Columbus, Ricken& AFB 74 92 89 73 87 72
Dayton, lnt'l Airport 88 74 90 73 86 71
73 87 74 89 74 92
Da~ton,~'nighr-PalersonMB
71
Findlay 85 72 8790 , 74
Mansfield 88 73 85 72 s3 71
85 72 Toledo 87 73 90 71
83 Youngstow
70 85 72 88 69
86 73
Zanesville 88 74 90 71 ~ ... . . -...
OI(MB0MA
Atus, MB 73 102 73 97
100 73 77 93 92 76 132
75 74 91 71 84
8312472 ~~ ~ 119
... .- '-
82 2'.
46
..
VanceEnid, AFB 74 101 98 74 95 73 77 92 76 91 75 90 73 130 85 71 121 83 70 116 82 21.8
lawton, Fort SillPost
Field 739573977399 77 90 76 90 75 89 74 135 83 73 129 82 71 121 81 20.7
MEAleSter 9698 76 7676 93 79 92 78 91 77 89 76 141. 85 75 137 83 14 133 83 21.8
OklahomaCiiy, TinkerAFB
75 96 74 98 94 74 78 92 77 91 76 89 75 I38 87 74 132 85 72 123 83 19.4
Oklahoma Ciiy, W.RogersA74967499 94 73 77 91 76 90 75 89 73 129 83 72 125 82 71 120 81 21.0
Tulsa 76 97 100 76 94 75 79 92 78 92 77 90 76 137 87 74 132 85 73 127 84
. 19.5
~..
O W N
Astoria 76 64
62 72 69 61 65
63 75 7181 62
61 68 66 69
76 60 '59 74 ~. 14.2
65 ~ ~
MD6 = mean coincidentdry.hulh temperature, 'F M W S = meancoincidentwindspeed, mph StdD =standard deviation HR = humidity ratio
W B = mean coiincident wet-hulh temperature,'F MWD = mean coincident wind direction A = airport DP = dew-point
temperature, 'F
MD6 = mean coincident dry-hub temperature, 'F M W S =mean coincident wind speed, mph StdD = standard deviation HR = humidity ratio
MW6 = mean coincident wet-hub temperature,'F MWD = mean ulincident wind direction A = airport DP = dew-point temperature, 'F
Bellingham 76 65 79 67 6462 74 75 65 78 63
61 72 73 81 70 78 605 6 74 6 1 16.7
Hanfoid 100 67 96 65 93 64 68 96 66 94 65 90 58 73 72 56 68 75 53 62 74 26.5
Olympia 87 61 83 65 79 64 68 85 66 81 64 78 61 81 73 60 76 71 58 73 69 25.2
Quillayute 80 62 74 61 70 59 64 76 62 72 60 67 60 76 65 58 74 63 57 71 62 15.4
Seattle, ht'l Airport 85 65 81 64 78 62 66 83 65 79 63 76 60 78 71 59 74 69 57 71 68 18.3
Spokane, Rircbild AFB 92 62 89 61 85 ' 60 65 86, 63 84 61 82 57 77 68 55 71 68,. 53 '67 67 26.1
Stampede Pass 78 51 74 56 71 54 59 74 57 71 56 69 53 70 63 51 65 61 50 62 58 16.0
Tacoma, McChord MB 86 65 82 63 78 62 67 83 65 80 63 76 60 79 71 59 76 70 58 72 68 22.5
Walla Walla 98 66 95 65 92 64 68 92 67 91 65 88 60 82 74 58 76 72 57 71 72 27.0
Wenatchee 95 67 92 65 88 63 67 91 66 89 64 85 59 78 75 57 73 75 55 68 74 25.2
Yakma 95 65 92 64 63 88 67 90 66 89 786459 86 71 57 75 7467 55 .. 31.172
. , . ,. , . . ,
,
WSTYIRCINU
Bluefield 85 69 83 6967 80 72 81 71 79 70 77 69 120 68 75 ~ 116 '15 67 1.11 16.4 73
Charleston
~ ~~ 76 73 71 9186 73 88
~ ~~ 75 86 85 74 82129 73 72 81 80 123 19.1 7178 118
Elkins 708583 71 69 81 72 82 73 78 121 718078 71 116 69 68 77 111 75 21.1
Huntington 72 86 73 89 74 91 77 81 76
~ 85 1 4 74 83
~ 73 82'132 127 81 72 l i 1 i9 19.1 ,
S T D - A S H R A E C H ab-ENGL 2 9 7 7 BBsl 0 7 5 9 b S O 0 S 3 L b 4 0 4 2 2
26.22 Handbook
1997 ASHRAE Fundamentals
ExtremeWind Coldest
Month WS/MDB
MWS/MWD to DB Annual Fxtreme Daily
Elev. StdP
Heating DB Speed 0.4%
"
"- 1% 99.6%DB StdD
0.4% DB Mean
Station WMO#
Lat. Long. ft psia Dates
99.6% 99% 1% 2.5% 5% WS MDB WS MDB M W S PWD MWS PWD Max Min Max Min
ALBERTA
Cllgaly lntl A 718770 51.12 114.02
3556
12.90 -17-22
6193 28 2432 21 29 28 27 7 0 1 1 160 89 -28 2.1 5.6
Cold Lake-& 711200 54.42 110.28
1785
13.77 6193 -26-31 18 21 21 16 18 18 11 270
3 180
9 88 -40 3.2 6.3
Coronation 7 I873052.07 111.45
2595
13.37 -23-27
6193 25 21 28 19 12 23 13 320
9 1 1 I60 92 -35 3.1 6.3
Edmonton htlA 71 123053.30 113.58237213.479 6193-28.1 -?.9 24 21 18 24 12 21 11 6 180 9 180 87 -36 3.1 8.1
Fon McMurray A 719320 56.65 111.22'1211 14.06 -32 6193 -29 17 15 13 18 16 15 II 90 3 250
9 90 -42 3.6 4.9
Grande Prairie A 719400 55.18 118.88
2195
13.57 -32
6193 -27 23 27 29 19 32 24 28 320
3 270
8 87 -41 2.7 6.7
Lethbridge A 718740 49.63 112.80
3048
13.15 -22
6193 -16 32 36 45 28 39 39 38 250
5 13 270 94 -30 3.2 6.5
Medicine Hat A 718720 50.02 110.72 2349 13.49 6193 -24 -19 26 22 20 29 36 25 33 5 230 1 1 220 97 -32 3.6 7.2
w e e Mver A 710680 56.23 117.43 1873 13.727 6193 -31.5 -27.2 21 18 17 22 30 19 24 4 0 9 270 87 -42 2.9 6.7
Red Deer A 718780 52.18 113.90 2969 13.19 6193 -27 -21 22 19 17 27 13 22 13 200
6 I O 180 88 -35 3.1 6.5
Rocly hltn. House 719280 52.43
114.92
3245
13.05
6193 -20-25 1619 13 19 26 16 20 340
3 160
8 87 -36 2.7 5.0
Vermilion A 53.35 110.832028 13.65 6193 -30 -25 22 19 17 21 13 19 11 270
3 11 180 90 -43 3.6 6.7
Whitecourt 719300 54.15 115.782566 13.38 6193 -30 -24 17 15 14 19 22 17 18 4270 90 7 87 -41 2.0 5.4
BWllSA COLUMBM
Abbotsford A 711080 49.03122.37
190 14.59 6193 15 20 20 17 15 29 25 33 34 9012 220
7 92 IO 4.0 6.7
Cape St. James 710310 51.93131.02302 14.54 6193 25 29 50 46 40 60 54 40 42 22 50 I I 300 69 22 3.4 5.6
Castlegar A 718840 49.30 117.631624 13.85 6693 5 9 18 15 14 21 19 18 21 8 0 180
7 98 -3 2.9 7.0
Comox A 718930 49.72
124.90
79 14.65 6193 21 25 29 25 21 31 28 43 42 290
7 340
7 87 17 3.8 5.2
CranbmkA 718800 49.60115.78 3081 13.13 7093 -i5 -8 20 18 16 20 18 33 33 2 200 10 210 94 -22 2.7 6.7
Fon Nelson A 7 I9450 58.83 122.581253 14.04 6193 -33 -30 16 14 12 15 8 12 2 1 220 5 120 88 -42 3.2 6.3
Fort St. John A 719430 56.23 120.73
2280 13.52 6193 -30 -25 25 22 19 29 25 23 22 7 0 230
9 86 -36 2.9 6.3
Kamloops A 718870 50.70 120.451135 14.10 6693 -8 -1 23 20 18 25 22 26 27 904 270
8 98 -14 2.7 8.8
Penticton A 718890 49.47 119.601129 14.11 6193 5 IO 23 20 17 28 34 25 35 340
8 180
9 96 I 7.22.7
Poli Hardyd 711090 50.68 127.37 72 14.66 6193 22 26 28 24 21 33 38 29 39 110
8 340
9 76 18 3.4 4.9
Prince Ceorge A 718960 53.88122.682267 13.53 6193 -25 -18 21 18 15 27 32 23 24 2 0 180
6 -37
9.2
85 5.9
Prince Rupert A 718980 54.30130.43
112 14.64 6393 7 13 28 23 20 30 44 26 43 70 6 270
8 2 75 6.84.5
Quesnel A 711030 53.03 122.521788 13.77 6193 -22 -14 17 15 14 19 18 17 20 I 340 5 340 -31 92 8.3
4.0
Sandspit A 711010 53.25
131.82
20 14.68 6193 21 25 38 32 27 42 44 37 42 18
320 270
9 1872 3.4 5.0
Srnithers A 7 19500 54.82 127.18
1716 13.81 6193 -19 -12 17 15 13 I8 23 16 19 3 140 320
6 88 -26 7.0 4.0
Spring Island 7 I4790 50.12 127.93 322 14.53 6193 29 31 41 35 29 44 46 40 45 6 50 3206 2578 4.5
6.1
Terrace A 719510 54.47128.58
712 14.32 6193 -2 2 26 23 20 32 IO 29 14 19 O 270 8 89 -5 4.0 5.8
Tofino A 711060 49.08
125.77
79 14.65 6193 25 29 24 20 18 29 46 24 45 70 5 290
7 5.6
4.02181
Vancouver lntl A 7 18920 49.18
123.17
7 14.69 6193 18 24 22 19 16 25 41 21 42 906 290
7 82 14 2.9 6.3
Victoria lntl A 7 1 7990 48.65
123.43
62 14.66 6193 23 26 20 16 14 24 37 20 38 IO 50 90 6 87 18 3.2 5.8
Williams Lake A 71 IO40 52.18122.053084 13.13 6193 -20 -14 22 19 17 24 29 21 30 320
3 140
6 -29
88 7.9
4.0
MANROBA
Brandon A 282023
71 I400 49.92
99.95
27
1342
14.00
-24
6193
-29 24 2 2 9270 12 160 -3694 3.1
4.5
Churchill A 719130 58.75
94.07 95 14.64
-33
6193
-36 30 34 36 26 -II 30 -14 15 270 13 230 86 -41 4.5
4.0
Dauphin A 718550 51.10
100.05 1001 28
14.17
-23
6193
-28 25 3122 28 2 5 9250 13200 -3693 3.4 4.3
Portage La Prairie A 718$10 49.9098.27 883 14.23
6193
-21
-25 26 23 20 29 I 25 1 9 250 12 180 95 -31 3.4 4.1
The Pas A 7 18670 53.97 101.10 19212414.23
-28
889
6193
-32 25 -6 22 -2 6290 1 1 160 89 -40 3.4 4.1
Thompson h 710790 55.8097.87
14.32
715
6893
-34
-38 20 18 19 16 -5 17 -1 270
3 10 180 89 -48 3.8 4.3
Winnipeg Int'l A 718520 49.90 3097.23 232529-23
14.28
6193
-27
784 5 26 5 320
7 13
180 -3394 3.4
4.7
NEW BRUNSWICK
Charlo A 717110 47.98 66.33 125 14.63 6793 -14 -10 24 21 19 27 3 24 8 1 1 250 1 1 250 89 -21 2.7 4.5
Chatham A 717170 47.00 65.45 102 14.64 6193 -12 -7 24 21 18 27 16 24 16 270
7 II 230 93 -20 2.2 4.3
Fredericton A 717000 45.87 66.53 66 14.66 6193 -12 25 17
-7 20 23 17 22 18 5 270 II 230 92 -21 2.5 5.4
Moncton A 717050 46.12 64.68 233 14.57 6193 -10 -5 26 23 20 30 19 26 19 13 270 13 250 89 -17 2.0 4.5
Saint John A 716090 45.32 65.88 358 3214.51
20 236193
26 -4 -9 24 28 23 340
9 II 230 84 -18 4.0 4.7
NEWFOUNDLOND
Battle Harbour 718170 52.30 55.83 26 14.68 6193 -14 -10 40 35 48 32 42 17 15 18 270 17
230 78 -18 4.7 5.9
Bonavista 711960 48.67 53.12 89 3414.65
48 38 6193 7
43 3 42 21 23 24 280 17
230 81 O 2.7 5.8
Camright 718180 53.70 57.03 46 14.67 6493 -18 -15 36 30 27 40 35 18 19 12220 12
210 84 -23 4.1 4.5
Daniels Harbour 711850 50.23 57.58 62 14.66 6693 -7 -3 40 35 31 45 39 16 21 12 270 15 230 75 -12 3.2 6.5
Deer Lake A 718090 49.22 57.40 72 14.66 6693 -13 -7 24 22 18 26 22 21 19 240
3 14220 86 -23 2.3 6.7
Gander lntl A 718030 48.95 54.57 495 14.43 6193 -4 O 32 28 25 37 32 20 22 16270 13
230 85 -8 2.9 6.3
Coose A 718160 53.32 60.37 I60 14.36 6193 -23 -20 26 22 20 30 26 3 5 1 1 250 12
250 89 -29 4.0 3.6
Hopedale 719000 55.45 60.23 26 14.68 6493 -21 -18 36 30 27 40 13 35 11 12250 13 250 79 -25 4.5 5.8
St. John'sA 718010 47.62 52.73 459 14.45 6193 3 7 37 33 29 41 37 24 25 17290 17
250 82 -2 4.9
2.5
Stephenville A 718150 48.53 58.55 85 14.65 61933 -2 363323 28 30 21 21 I I 50 250
9 79 -7 2.5 6.3
Wabush Lake A 718250 52.9366.87
1808 13.76 6193 -33I -30
-4 23 17 20 25 21 -5 -4 5 270 12
240 82 -43 3.8 4.3
NORTAWFSTmOm
B a k r Lake 719260 64.30 96.08 59 14.66 6393 -39 36 32 28 42 37 -26 -26 12 o IO 270 77 -50 4.9 4.3
Cambridge Bay A 19250
7 69.10 105.12 89 14.65 6193 -38 -35 35 31 27 36 31 -19 -19 320
9 11 140 68 -50 4.9 3.8
Parry
Cape A 19480
7 70.17 124.68 56 14.67 6193 -34 -33 31 28 25 34 29-12 -12 270
7 9 I l 0 -42
66 4.9 4.3
chestefield 719164 63.33 90.72 36 14.68 6393 -35 -34 33 29 26 35 -26 31 -26 14
320 13 320 73 -49 13.9 4.9
Coral Harbour A 719150 64.20 83.37 210 14.58 6193 -40 -38 37 32 27 39 -5 32 -7 340
9 13 270 71 -49 3.8 5.2
FORSmith A 719340 60.02 111.95 666 14.35 6193 -34 -32 18 17 15 20 18 -3 -5 3 150 IO 180 88 -48 3.4 5.6
Hall Beach A 710810 68.78 81.25 26 14.68 6193 -42 -38 33 29 25 34 30-20 -2 1 IO 320 11 180 64 -53 5.2 5.4
lnuvik UA 719570 68.30 133.48 223 14.58 7393 -43 -40 17 15 14 19 -7 17 -7 1 70 8 180 84 -52 2.5 5.0
IqualuitA (Frobisher) 719090 63.75 68.55 108 14.64 6193 -39 -36 32 28 25 40 34-12 -12 320
4 12 320 68 -43 4.3 4.7
Norman wells A 710430
65.28
126.80
-36
14.57
6193
243
-40 24 18 21 -4 29 824
170 2 -7 -4987
140 3.1 5.4
WMO# =World Meteorological Organization number Elev = elevation, ft DB = d y h u l h temperature, 'F
Lat = latitude Long = longitude
StdP = standard
pressure
at station elevation,
psia WS =speed,
wind nph
Climatic 26.23
69 61 56 67 60 12:4
Prince GeorgeA 81 60 78 59 14 58 63 18 61 14 59 11 58 71 66 56 13 64 54 61 62 23.2
Prince RupertA 66 58 63 51 61 56 60 64 58 62 51 60 58 I1 61 51 69 60 56 66 59 10.4
Quesnel A 85 62 81 60 11 59 64 80 62 11 61 14 59 81 61 57 I5 65 56 11 63 25.4
Sandspit A 68 60 65 59 63 58 61 66 60 64 59 62 59 15 62 58 11 61 51 69 60 8.6
Smi!$ers A 81 61 11 59 13 58 62 I8 61 14 59 I1 51 74 65 56 10 64 54 65 62 22.0
Spring Island 68 60 66 59 63 58 61 66 60 64 59 62 59 76 62 58 14 61 51 11 60 8.8
Terrace A 83 62 18 60 14 59 64 19 62 16 60 12 58 13 66 56 69 64 55 65 64 17.1
Tofino A 12 62 68 60 66 58 62 70 60 67 59 64 59 16 63 58 13 62 51 71 60 12.2
Vancouver lntl A 16 65 14 64 71 62 66 15 64 72 63 10 62 83 11 61 19 10 60 16 68 14.0
Victoria lntl A 19 63 15 62 12 61 64 11 63 74 61 11 59 15 69 58 11 61 51 69 65 18.4
Williams lake A 83 59 19 51 75 56 60 Il 59 15 51 12 55 13 62 53 61 61 51 62 60 22.0
MANEOB4 .
Brandon A 81 61 84 66 80 65 11 82 69 80 66 11 61 105 11 65 91 14 62 88 12 23.6
Churchill A 11 62 12 60 61 58 64 14 61 10 58 66 59 16 68 56 68 65 53 60 62 16.1
Dauphin A 81 61 84 66 80 64 IO 82 68 80 66 11 61 102 71 64 94 14 62 86 12 22.1
Poirage L Prairie A 88 68 85 67 81 65 12 83 69 80 68 78 10868 78 66 99 I5 64 92 73 20.5
The Pas A 83 66 79 64 16 62 68 19 66 16 64 13 64 93 13 62 85 70 60 80 68 18.4
Thompson A 83 64 19 62 16 60 66 18 64 15 62 13 62 85 11 60 18 69 58 13 66 23.0
Winnipeg Int'l A 81 68 84 61 81 66 12 82 70 80 68 18 68 107 78 66 99 75 64 92 13 20.5
N F W BRUNSWICK
Charlo A 83 68 19 66 1510 65 78 68 16 66 73 102 68 14 66 12 91 90 64 10 18.4
Chatham A 86 69 83 61 79 65 71 81 69 18 68 15 68 104 15 61 98 13 65 92 11 20.3
Fredericton A 86 69 83 68 19 66 12 82 10 19 68 76 68 104 11 61 99 15 65 93 12 20.1
Moncton A 83 68 80 61 11 65 11 19 69 71 68 14 68 104 15 61 99 13 65 93 71 19.4
Saint John A 18 65 75 64 12 62 68 15 66 12 64 69 66 96 11 64 90 69 62 84 66 16.9
NEWFOUNDLAND
Battle Harbour 65 58 60 55 58 53 59 63 56 60 54 51
Bonavista 74 65 11 63 68 62 61 12 65 69 63 61 65 92 10 63 85 68 61 80 66 11.1
Cart\\light 75 62 70 59 61 58 63 12 61 68 59 66 59 16 61 51 10 65 55 64 63 11.5
Daniels Harbour 69 63 66 62 65 61 65 61 63 66 62 64 64 90 61 62 83 65 60 18 63 9:l
Deer lake A 81 66 11 64 74 62 68 11 66 14 65 11 66 95 13 64 88 11 61 81 69 21.4
Gander lntl A 19 65 16 63 12 62 68 15 66 12 64 10 65 95 11 63 88 70 61 83 68 17.8
Goose A 81 63 71 61 13 60 66 11 63 13 61 71 61 82 10 59 76 68 51 11 65 18.2
Hopedale 70 59 65 57 61 55 M, 68 58 64 55 61 51 69 64 54 62 6í 52 51 59 12.6
St. John'sA 16 65 13 64 70 63 68 13 66 71 64 68 66 98 11 64 92 69 62 85 61 15.7
Stepheaille A 74 64 11 64 69 63 67 11 65 69 64 68 66 95 10 64 88 68 62 83 66 12.4
Wabush LakeA 16 60 12 58 68 57 63 11 61 69 59 66 60 83 66 58 16 63 56 70 62 16.9
NORTHWEST TERM'ORIES
Baker lake 69 51 65 55 61 53 59 61 56 63 54 60 55 63 64 52 57 59 50 53 51 16.4
Cambridge Bay A 60 53 51 51 53 48 54 59 51 56 49 53 50 55 56 48 50 53 46 46 51 12.4
Pany Cape h 58 53 54 50 50 41 53 58 50 53 41 50 50 53 56 41 48 52 45 43 50 9.1
Chesterfield 66 54 60 52 56 50 55 65 52 60 50 56 50 53 60 48 49 55 46 46 52 13.7
Coral Harbour A 64 53 60 51 56 50 55 63 52 59 50 56 50 54 58 48 50 55 46 46 52 14.8
Fort Smith A 82 63 18 61 15 60 65 18 63 15 61 72 61 81 69 59 16 61 51 71 66 21.4
Beach Hall A 56 50 52 41 49 45 50 55 48 52 45 49 41 48 53 44 42 50 42 39 41 9.9
lnuvik Ua 18 60 15 59 11 51 62 15 60 72 58 69 56 61 61 61 55 65 2 57 64 18.4
lqualuit A (Frobisher) 60 50 51 48 53 46 51 59 49 55 41 53 46 46 53 44 43 52 42 40 50 12.4
Wells
Norman A 62 80 17 60 14 59 64 11 62 14 60 11 59 75 68 51 11 66 56 61 65 18.5
MDB = meancoincident dry-hulhtemperature, 'F WS = meancoincidentwindspeed,mph StdD = standard deviation HR = humidify ratio
WB =mean coincident wet-hulhtemperature, 'F MWD = coincident
meandirection
wind A = airport DP = dew-point temperature, 'F
.
Alice Springs 943260 23.80 S 133.90 E 1774 13.781 8293 34 36 20 17 17 16 64 15 62 2 270 8 100 108 29 1.8 3.6
Brisbane 945780 27.38 S 153.10 E 16 14.691 8293 44 46 22 19 17 22 60 19 61 4 220 11 20 95 39 3.8 2.0
CliS 942870 16.88 S 145.75 E 22 14.688 8293 56 59 19 17 15 18 73 16 72 8 170 8 120 97 50 2.5 8.8
Canberra 949260 35.30 S 149.18 E 1893 13.722 8293 26 29 24 21 18 24 46 22 48 O 310 12 310 97 20 4.0 8.1
Danvin 941200 12.40 S 130.87 E 98 14.648 8293 64 66 19 17 15 I8 80 17 80 7 140 12 290 98 60 2.9 2.5
Kalgoorlie/Boulder 946370 30.77 S 121.45 E 1181 14.083 8293 36 38 22 19 24 17 59 21 58 I 220 9 320 108 31 3.4 1.3
mouth t 943020 22.23 S 114.08 E 14.690
19 8293
49 51212325 22 68 20 67 5 210 14 210 112 4.5 2.7 2.9
Perth 946100 31.93 S 115.95 E 95 14.650 8293 41 4321 24 23 19 58 19 58 I 50 IO 270 107 36 3.4 2.2
Port Hedland 943120 20.37 S 118.62 E 19 14.690 8293 51 54 20 23 2419 68 22 70 5 160 12 120 III 46 2.5 2.2
Sydney InIl Airport 947670 33.95 S 151.18 E 10 14.695 8293 42 44 25 22 2520 58 20 56 2 320 12 300 103 38 5.2 3.4
Torvns\.ille 942940 19.25 S 146.75 E 19 14.69019 8293
21 52 48 17 20 72 18 72 O 190 9 50 101 43 3.8 2.7
ArsraU
AigeWEnnstal (hlil) 111570 47.53 N 14.13 E 2129 13.604 8293 2 227141619 38 34 19 1 6.3
602.7 -67 89 60
Graz 112400 47.00 N 15.43 E 1138 14.105 8293 517 12 14 11 16 35 11 33 1 180 7 140 90 1 3.4 8.1
Innsbruck 111200
47.27 N 11.35 E 13.695
1945
8293 10 19 14 15 18 12 42 15 39 1 260 8 70 91 5 2.7 6.8
Klagenfurt 112310
46.65 N 14.33 E 13.929
8293
1482 9 4 13 11 9 10 31 7 27 3 310 6 100 90 - I 7.03.8
LhZ 110100 48.23 N 14.20 E 14.163
1026 8293 5 12 24 20 I ? 28 39 25 38 6 90 7 110 91 1 3.8 9.9
Sahburg 111500
47.80 N 13.00 E 1476 13.932 208293
13 15717 12 42 17 38 3 130 7 330 92 2 4.1 8.3
Vienna, Hohe Warte 110350
48.25 N 16.37 E 656 14.355 8293
12 2717192317 43 23 42 6 240 9 140 91 9 3.2 6.7
Vienna,
Schrwchat 110360 48.12 N 16.57 E 623 14.372 8293
9 31
14212427 44 27 38 6 320 12 150 92 5 3.1 7.2
Zelnveg 111650 47.20 N 14.75 E 2237 13.550 8293 O 5 I8 15 13 36 16 37
19 1 250 7 190 -6 88 3.4 7.6
AZORES
Lajes 38.77
85090 N 27.1048W 46
14.604
8293
180 30 21 23 28 57 26 56 3 300 8 83250 1.841 3.8
BAHMUS
Nassau 780730
25.05 N 77.47 W 226014.688
57
8293 712119 72
1921 17 3 300 1.352
IO 93130 3.1
B"N
Al-Manamah 1500
41 26.27 N 50.65 E 6 14.697
8293
52 2654
21 23 25 290
13582456 1147109
340 2.5 5.6
BEMW
Babru\sk(Bobruysk) 269610 53.12 N 29.25 E 2014.415
541
-28293
-9 301827201618 4 210 8 200 -1687 21.1
4.0
Hompl (Gomel? 330410 52.45 N 31.00 E 416 14.480 8293 -6 O 18 1415 28 17 2815 4 330 7 150 -8 87 4.5 7.9
Hrcdna (Grodno) 268250 53.68 N 23.83 E 14.466
442
8293
-5 19
1 2226 25322233 5 270 9 87180 -5 3.8 9.2
M
aw
w (Mogile~) 268630 53.90 N 30.32 E 633 14.367 8293 -9 -3 23 21 18 23 2131 9 30 7 28 200 -11
85 3.4 7.6
Minsk 268500 53.87 N 27.53 E 14.297
-58293
767 24 15 O23 171713 14 5 300 9 85 70 -8 3.8 7.2
Virsyebsk (Vitebsk) 266660 55.17 N 30.13 E 577 14.396
-28293
-8 17 19 2815
172621 3 30 8 84210 -11 3.4 6.3
BEffilUMlLUXEMBOURG
Antwerp 64500 51.20 N 4.47 E 45 14.676 8293
24 21 16 44 24I847 28
21 7 50 7 90 89 157.24.1
WMOx = World Meteomlogical Organization numher Elev = elevation, ti DB = dry-hulb tenlperature, 'F
Lat = latitude Long. = longitude StdP = standard pressure at station
elevation,
psia WS =wind speed, mph
MDB = mean coincident dvhulh temperature, 'F WS = mean coincident wind speed,mph S t d D = standard deviation HR = humidity ratio
MWB = mean coincident wet-hulhtemperature, 'F tWD =mean coincident wind direction A = airport DP = dew-point temperature,'F
Tamwre 19 16 62 61 13 60 65 15 63 12 61 70 62 83 67 59 16 66 5s 11 64 18.7
Heldelbq 90 69 86 67 83 66 71 86 69 84 67 80 66"98
, ~ 77 92 75 63 ,:87:..'.71 2Ó&
Hof 81 62
64 77 74 61 66 77 64 14 62 71 62 89 70 60 83 67 59 79 66 18.5
Husum (Ger-MB) 79 64 76 64 72 62 67 76 65 73 63 70 64 90 7084 62 68 61 79 66 15.5
K ~ Arkana
D 74 65 71 6462 69 66 72 68 6563 70 62 6470 90 85 68 6167 80 9.2
Kie~oitemu(Cer-Navy) 78 ' 64 75 ' 63 72 62 66 76 , , 64 ' 73 62 '62
70 84 ' 71 61 ' : 79 68 ' 59: 75: :..i.$?. .1%5
Koln 85 67 82 65 79 64 69 81
79 67 65 76 65 92 73 63 87 71 62 83 69 19.8
. . . .
, ,
,. ,, ...
, , ,
CEoRChi . . . . ,
Batumi 82 73 80 79 72 71 75 80 74 79 72 77
7912373 71 78 118 72 ' 113 76 10.4
Tel Aviv-Yafo 88 6974 86 8578 74 76 8483 77 8383137 76 9.9 82 127 747582 132
lTALT
. ... .
..I
KENYA
Arissa 637230
0.47 S 39.63 E 7.614.446
70
59
8293
482
105
180 8 180 7 83 28 83 30 22
71 26 29 8.3
Kisumu 637080 0.10 S 34.75 E 3759 12.810 8293 60 62 22 19 17 19 76 16 79 90 4 13 230 100 52 11.2 7.0
Lodwar 636120 3.12 N 35.62 E 1689 13.824 8293 69 71 23 20 19 21 83 19 83 2704 13 90 106 58 7.9 9.7
Nairobi 637400 1.32 S 36.92 E 5328 12.082 8293 49 51 23 21 19 17 70 15 69 6 240 14 60 90 41 4.5 4.9
Nakuru 637140 0.27 S 36.10 E 6236 11.675 8293 47 48 19 16 13 17 70 14 70 3502 9 360 95 9.9
40 5.2
KOREA, NORl
h j U 470500 39.62 N 125.65 E 14.653
88
8293 -1 19 4 16 14 17 20 14 19 3 5 140 230 90 -7 7.4
2.7
Chongjin 470080 41.78 N 129.82 E 141 14.625 78293 IO 15 12 IO 15 17 13 173 320 6 5.03.1
90 3 88
Changjin 470310 40.37 N 127.25 E 3546 12.911 8293-19 -15 20 18 16 20 4 18 4 1 6 320 320 85 -25 4.7 3.4
Haeju 470690 38.03 N 125.70 E 265 14.559 8293 IO 13 21 18 15 19 22 17 237 320 7 180 91 7 3.6 4.5
Hmhung 470410 39.93 N 127.55 E 124 14.634 8293 7 10 18 15 13 21 20 18 22 7 360 9 230 93 2 2.9 4.3
Namp'o 470600 38.72 N 125.37 E 154 14.618 88293 11 23 19 17 21 21 18 216 320 7 270 91 6 5.8 5.0
P'yongang 470580 39.03 N 125.78 E 124 14.634 8293 3 7 14 12 IO 15 19 13 19 2 Il0 4 270 91 -1 2.3 6.5
Sinuiiu 470350 40.10 N 124.38 17
E 714.688
8293
22
3 15 13 19 19 16 18 6 50 5 230 92 -4 3.8 5.0
Wonsan 470550
39.18 N 127.43 E 1514.637
12
8293
118 16 13 11 16 14
4.72.9
27 7 9325025
4 270 6
WMO* Meteorolwical
=World
Lat = Long.
Organization
numher
latitude
. -
= longitude
StdP
Elev = elevation. ft
= standard'pressure
elevation,
station
psia
at
DB =teninerature
~
drv-hulh
.~,. .
WS =windnlphspeed,
, ~ . ,'F
15 32 19 15 33 150
3 8 220 101 -11 2.2 7.6
17 174 20 I 1 360 114.0
7.7
-32
68
210
23 29 55 23 57 90 5 2.9
1.8
39
106
350
15
19 22 59 19 58 2404 114
6013 35 3.1 2.0
50 22 13 18 48 3 180 IO8 89
320 2.0 6.7
18 23 31 21 32 70 6 8.5
3.6-286
1808
22 29 40 24 39 70 8 4 83
1408 3.1 10.3
20 25 29 22 29 70 5 11 140 867.7
2.9-5
61 34 23 29 62 310
8 II 30 871.85.250
11 13 82 12 83 350
2 270
8 96 70 4.0 1.3
14 18 81 17 81 1 190 9 90 95 68 1.4
2.9
12 13 85 11 85 1 340 270
8 98 68 3.4
3.1
12 16 83 15 82 5 350 8 230 99 58 5.2 23.4
12 17 84 15 84 3 IO 20 8 97 66 5.6
3.4
IO 11 84 10 85 1 60 7 180 99 66 5.9 4.9
9 13 82 11 82 260
2 360
5 99 67 7.4
4.1
13 18 82 16 83 120
2 270
9 99 66 8.3 10.3
77 16
15 77 18 40 7 9 80 I l 0 50 6.7
6.1
26 56 29 20 56 270
6 3.1
4.1
3899
3109
17 21 19 81 82 9 100 102
40 9 56 25.7
1.9
14
12 31 17 29 300
5 2006 91 4 3.8 5.8
17 19 O 15 1 320
2 270
8 89 -27 5.2 4.7
11 9 -29 7 -29 1 180 50 5 89 -43 5.0 4.0
MolMcCo
Al Hoceima 601070
35.18 N 3.85 W 14.676
8293
45 44 46 18 21 24 24 583 5819 4.19.0399836012
180
WMOx = World Meteorological
Organization numher Elev =elevation, ft DB = dry-hulh temperature, 'F
Lat = latitude Long. = longitude StdP = standard pressure at station elevation, psia WS =wind
speed, mph
.
. ,
. I
um
Liepaja 62 7670 64
62 73 67 72 65 7068 6370 90 64 6268 85 61 80
10.3 66
MAUIWMil.4
15.8 77Nouadhibou
112 70 78 118 72 92 79 126
69 74
69 8881
86 73
69 81 74 83 76
Nouakchott 70 107 103 69
79 100
87 80 6988 81 86 79 15078 141
84 77 84 148 83 23.0
MEXlCO ..
Acapulco 8092 91 SO80 92 82 '90 8181 89 89 79 15179 87 i5079 86 150 86 13.0
80 Merida
91 81 76 95 76 100 98 76 90 79 22.5
89 83 78
141 77147 84 86143 77
Mexico Ciw 57 84 8272 57
60 7380 61 5674 62 5965 98 5764 92 57 92 63 24.8
Puenob'allarta(7660iO) 92 , $I 81 91 90 80 83 90 . 82 90 81, 89 81 160, 88 79 Is3 87 79, ,455 . 86 14'2
Tampico (765491) 80 92 89 83 8090 90 80 82 88 81 87 82 88 168 80 158 86152 79 84 11.3
Veracruz 152 80
79 9492
89 8080 90 81 91 9182 80 85 79 15078 85 148 85 14.9
MICRONIL4
IntVMoen
Truk Is1 88 80 88 8081 8787 81 79 87 80 79 86147 78 85 I48
151 79 86 85' 7.4
. . . ,
MIDWAY W W D
MDB =mean coincident dry-bulb temperature,'F WS =mean coincident wind speed, mph StdD = standard deviation HR = humidity ratio
MWB = mean coincident wet.hulb temperature, 'F MWD = mean coincident winddirection A = airport DP = dew-point temperature, 'F
OMAN
Masqal 412560
23.58 N 58.28 E 49 14.674
15172063
8293
61 I8 1674 73 5 200 I I2.3
52
116
340 8.3
SalaÏah 413160
17.03 N 54.08 E 65 14.665 63 8293 70 28 16
6519 21 23 73 200
10 12 20 52
101 5.0 10.1
Thamarit 413140 17.67 N 54.03 E 13.941
1459
48
8293 71 19 72 21 27 30 32 51 7 160 11 340 I I I 2.742 2.7
Tur‘at
Masirah 412880 20.67 N 58.90 E 62 14.667 829363 2765 252324 682266 300
14 13 106
210 53 2.7 9.5
PANMlA
Panama 788060
8.92 N 79.60 W 14.672
52 8293 73 13 73 15 17 82 12 81 15 2 12 10 IO 99 67 9.74.5
Tocumen 787920 9.05 N 79.37 W 14.681
36 8293 14
68 16 68 81 12 80 13 12 O 10300 96 30 58 3.2 11.3
PAMGUAY
Asuncion 862180
25.27 S 57.63 W 331 14.525 8293 41 44 23 20 22
18 71 25 69 103
360
2 14180 35 4.3 2.7
PERU
Arequip
~. 847520 16.32 S 71.55 W 8267 10.808 829343 42 26 26 21
54 31 18 6 54 14 30 240 34 79 3.4 3.4
Cuzco 846860 13.55 S 71.98 W 10659
6317629.853
2215202434
8293
32 O 4 90 2877
330 3.6 2.5
Iquitos 843770 3.75 S 73.25 W 14.482
66
8293
413 68 19 13 11 77 16 12 78 2 170 4 330 98 3.253 18.2
Lha 846280 12.00 S 77.12 W 42 14.677 8293 57 58 24 20 21 18 62 170 18 4 63 13 87170 50 2.2 6.1
Pisco 846910 13.75 S 76.28 W 22 14.688
53
8293 55 25 21 19 23 19 65 65 1 904.0 47
1189210 6.3
Talara 843900
4.57 S 81.25 W 29542 6414.544
46 33 428293
46 61 60 7.73.255 93190
651515022
PMLwpPlNI
Angeles, ClarkAFB 983270 15.18 N 120.55 E 643 14.362 8293 68 1569 12 11 13 83 12 82 5 IO 7 99
120 65 2.0 2.2
Baguio 983280
16.42 N 120.60 E 4924 12.266
12 158293
22 54 52 65 14 12 65 3 90 4 140 93 49 5.4 1.6
Cebw?dandaue 986460 10.30 N 123.97 E 78 14.658 8293 73 74 1& 15 14 19 82 17 82 5 40 9 40 98 67 3.2
10.3
Olongapo 984260
14.80 N 120.27 E 14.670
70
8293
56 19 85 21 16 18 21 71 84 4 70 II 70 100 67 4.3 2.5
Manila,Ninoyr\quinoInt’l 984290
14.52 N 121.00 E 68 14.663 8293
69
8336834032364171 2 90 21 90 99 43 1.8 14.2
W W
Bialystok 122950 53.10 N 23.17 E 495 14.439 8293 -4 3 16301816 28 18 14 2 310 6 180 87 -5 3.6
11.2
Gdansk 121500 54.38 N 18.47 E 14.461452 8293 1 9 3123 26 363227 41 2 130 11 IO 86 -2 5.2 11.0
btowice 125600
50.23 N 19.03 E 14.212
931 8293 3 40
9 221915 17 38 19 2 20 8 250 89 -2 2.9 9.5
R*ke 125700 50.82 N 20.70 E 856 14.25i 8293 -1 6 18 20 , 16 21 31 33 19 4 60 7 190 88 -5 2.9 10.6
Kolobneg 121000 54.18 N 15.58 E 16 14.6913617
8293
38191410161816 5 Il0 6 140 90 Il 4.1 8.1
W O W=World Meteorological Organization numher Elev = elevation, A DB = dry-hulh temperature, ‘F
Lat = latitude
Long. = longitude StdP = standard pressure at station elevation, psia WS =wind speed, mph
utsira 58 6067 58 62 64
6159 5864 60 57 59
62 76 58
60 7359 70 57 5.2
OMAN
Masqat 73 107 73 109 86 73 105 93 85 9392 84 8491 181 8391 174 8290 169 14.9
6 91 71 92Salalah 16
88 82 85 82
81
152 87
79 86 1588780 8186 160 9.7
Thamarit 68 104 68108106 69 19 7694 90 1882
76 130
91 73 84 134 74 86 142 25.2
76 96 74 99
hlasirah
Tur'at 82 8988 1688282 88 86 156 8081 86 160 15.5
PANAMA
Panama 8995 82 76 77 9392 77 81 89 7981 86 88158 80 85 15015279 85 15.8
Tocumen 9392 78 89 81 7777 91 84 143 77 80 85 88
148 7880 85 88150 79 17.5
PARAGUAY
75 98Asuncion 9594 7875 90 79 75
91 80 89 77 144 134
86 75 7683 136 83 18.5
PERU . .
58 71 59 53Arequipa
.73. 54 74 55 75 53 5462 85 83 61 23.4
Cuzco
lquifos
Lima
pisco
Talara
PHILLIPPINES
Angeles, Clark MB
Baguio
CebuMandm
Olongap
Manila, Ninoy Aquino IntY
POLAND
Bialystok
Gdansk 80 65 77 63 13 62 67 77 65 13 63 71 64 91 70 61 82 68 59 77 61 17.5
Katowice 83 67 80 65 77 64 68 80 67 77 65 74 64 94 72 63 88 71 62 85 69 18.4
Rielce 83 67 80 65 16 64 68' , 79 67 76 65 74 65 94 73 63 90 78 62. 84. 69 2 0 2
Kolobrzeg 80 65 75 63 71 63 67 74 65 72 64 70 64 90 70 63 85 68 61 80 67 12.1
MDB = mean coincident dry-hub temperature, 'F MWS = mean n~incidentwind speed, mph StdD = standard deviation HR = humidity ratio
MWB = mean coincident wet-huh temperature, 'F MWD = mean coincident wind direction A = airport DP = dew-point temperature, "F
S T D - A S H R A E C H 2 b - E N G L L977 W 0759b50 0 5 3 L b b 5 A T 2
Siatlon WMOX LaL Long. fi psla Dates 99.6% 99% 1% 2.5% 5% WS MDB WS MDB MWS PWD MWSPWD MLn
Max Max Min
Khamis Mushql 411140 18.30 N 42.80'E6738
11.456
8293 .40 '43 21 18 16 22 61 20
61 2 150 IO 30 97356.8 4.1
Makh 410300
21.48 N 39.83E 1017 14.168
8293
59
62 14 12 11 15 78
13
77 4 20 8 300
118
53
2.0
4.3
@sim 404050 26.30N 43.77E 2132 13.602 8293 37 39 21 18 16 20 60 17 57 2 30 8 90 I l 5 32 3.8 3.2
RaFha 403620 29.63 N 43.48 E 1466 13.937 8293 33 35 25 22 20 24 54 22 56 4 270 9 300 II5 27 2.7 2.7
Rynah 404380 24.72N 9.72 E 2007 13.664 8293 41 . 4 4 22 19 17 21 60 18 M) 4 320 I l 360 115 35 1.4 2.7
Tabuk 403750 28.37N 36.63 E 2526 13.407 8293 34 37 25 20 17 25 60 20 60 2 110 10 270 107 30 2.2 2.3
Turayf 403560 31.68N 38.67E 2667 13.337 8293 29 32 25 22 20 26 46 22 46 6 270 9 270 106 25 2.3 3.4
Yanbu'al Bahr 404390 24.15 N 38.07E 3 14.698 8293 52 54 26 23 21 25 72 22 72 3 IO 17 270 114 47 1.8 2.0
SENEGAL -
Daler 61641014.73 N 17.50W 7814.6588293616223211923692169 IO 360 I O 360 100 544.07.7
Saint louis 616000 16.05N 16.45W 13 14.693 8293 60 61 23 20 18 23 76 20 76 7 40 11 80 108 53 2.9 3.6
Tambacounda 616870 13.77N 13.68W 164 14.613 8293 63 65 17 15 13 17 82 16 81 3 80 6 100 110 53 3.2 6.8
Ziguinchor 616950 12.55N 16.27W 75 14.660 8293 61 63 14 12 10 15 82 12 81 1 40 6 60 106 54 0.9 7.4
SINGAPORE
Singapore 4869801.37 N 103.98 E 52
14.672
8293
73
74
18
16 14 18 83
17
84 4 330 11 3093652.012.1
SLQVAIUA ,
Bratislava 11816048.20 N 17.20 E 42714.4758293 9 14 2I
11
82
631
53
96 3 50 8 160 94 5 2.9
8.8
Chopok Mountain 11916048.93 N 19.58E 660111.5168293-6-352464261 6 55 6 29330 11 18063-82.06.5
Kosice 11968048.70 N 21.27 E 76114.3008293 8 12292521 30 2126 25 9 350 8 180
89 4 2.5
6.7
Lomnicky Stit(PeaN 119300 49.20N 20.22E 8645 10.652 8293 -12 -8 52 44 38 59 -1 51 2 23 310 6 180 58 -13 2.5 5.9
Zilina 118410 49.23N 18.62E 1033 14.159 8293 2 8 18 15 13 19 37 15 31 4 70 7 250 89 -3 2.2 7.0
SOLVENM
Ljubljana 130140
46.22 N 14.48E 1263
14.041
8293 9 13 14 11 9 12
34 IO 35 I 290 7 130
93 3 4.5
5.8
SOUTHAFW
Bloemfontein 68442029.10 S 26.30E 442212.4988293262824211921551858 1 2201227098222.53.1
Cape Town 688160 33.98S 18.60E 137 14.627 8293 38 41 32 29 26 31 57 28 58 O 40 12 170 94 34 2.9 1.4
Durban 685880 29.97 S 30.95E 26 14.686 8293 50 52 27 23 21 24 70 21 69 1 340 14 30 93 46 2.2 2.0
Johannesburg 683680 26.13 S 28.23 E 5577 11.969 8293 34 37 22 19 17 19 55 Ia 54 9 210 9 300 89 29 1.8 3.1
Marion Island 689940 46.88S 37.87E 72 14.662 8293 30 32 60 53 47 59 38 52 43 17 200 22 290 68 24 9.0 4.3
Port Elizabeth 688420 33.98S 25.60E 196 14.596 8293 43 46 33 29 26 31 58 28 60 2 270 IO 290 97 38 3.8 2.2
Pretoria 682620 25.73S 28.18E 4337 12.538 8293 39 41 14 12 II 13 61 II 59 I 220 4 270 94 35 2.9 2.0
SPhM
Barcelona 81810 41.28N 2.07E 19 14.690 8293 32 35 21 17 15 21 50 I8 48 8 350 9 210 90 282.9 3.4
Granada 84190 37.18N 3.78 W 1833 13.752 8293 25 28 21 18 16 20 49 17 49 O 230 12 180 103 11
9.6 5.0
l a Coruna 80010 43.37N 8.42W 219 14.584 8293 39 41 27 23 20 29 53 26 53 6 140 7 60 86 35 3.1 2.7
Madrid 82210 40.45N 3.55 W 1909 13.714 8293 24 26 22 19 17 23 47 19 41 O 360 8 240 102 20
1.8 3.1
Malaga 84820 36.67N 4.48 W 22 14.688 8293 39 41 27 23 20 32 55 28 56 IO 320 13 320 103 33 3.2 3.1
Palma 83060 39.55 N 2.73E 26 14.686 8293 31 33 23 20 18 24 54 21 54 O 60 IO 60 99 263.2 2.2
Salamanca 82020 40.95N 5.50 W 2608 13.366 8293 23 25 27 22 19 28 46 24 45 1 80 7 300 98 I8
2.2 4.5
SUlbIlder 80230 43.47 N 3.82W 213 14.587 8293 36 39 24 19 16 28 51 23 51 5 110 7 40 91 34 4.0 2.5
Santiago De Compostela 80420 42.90N 8.43W 1204 14.072 8293 30 32 22 19 16 23 51 21 49 3 90 6 280 97 244.1 4.0
Sevilla 83910 37.42N 5.90W 101 14.646 8293 34 37 20 18 15 20 55 18 55 2 30 8 240 109 302.7 3.1
Valencia 82840 39.50N 0.47W 203 14.592 8293 34 36 27 23 19 33 57 27 56 4 280 12 120 100 294.0 2.7
Zaragoza 81605 41.67N 1.05W 862 14.247 8293 28 30 28 24 22 29 46 26 49 5 IO 7 90 101 25 10.3 4.7
SwliDEN
Goteborg, Landvener 25260 57.67 N 12.30E 554 14.408 8293 3 IO 26 23 20 27 38 24 37 9 40 9 310 83 2 4.1
9.7
Coteborg. Save 25120 57.78N 11.88E 173 14.608 8293 3 10 27 24 21 28 41 25 39 5 50 9 290 82 3 3.19.2
Jonkoping 25500 57.77N 14.08E 761 14.300 8293-4 5 25 22 20 27 41 24 38 7 30 IO 50 83 -7 4.7 10.3
Kalmar 26720 56.73 N 16.30 E 52 14.672 8293 5 10 27 23 21 28 41 26 41 6 270 11 270 84 3 4.57.0
Karlshrg 25440 58.52 N 14.53E 334 14.523 8293 2 9 27 23 20 30 38 26 38 11 50 6 190 81 3 3.8 10.1
Karlstad 24180 59.37N 13.47E 180 14.604 8293 -5 I 22 20 18 26 38 23 38 4 350 9 200 81 -5 3.69.9
Kiruna 20440 67.82N 20.33 E 1482 13.929 8293 -22 -17 26 23 20 30 29 26 28 4 210 IO 190 76 -26 2.35.4
Malmo 26360 55.55N 13.37E 347
14.5168293 7 143027 24 31
37 28 36 9 340 12 140 a2 8 3.4 9.7
OstersundiFroso 22260 63.18N 14.50E 1213 14.066 8293 -14 -7 27 23 20 35
34 28 32 3 320 7 280 80 -17 3.1 9.4
Soderhamn 23760 61.27N 17.10E 118 14.637 8293-7 O 22 19 34
17 24 21 29 6 290 IO 130 84 -7 2.9 7.6
Stockholm, Arlanda 24600 59.65N 17.95E 200 14.594 8293 -2 5 24 21 18 28
37 24 36 4 350 8 180 84 -1 3.4 10.3
S ~ ~ ~ k h dB mm, m a 24640 59.35 N 17.95 E 36 14.681 8293 -1 5 21 I9 I7 20
37 18 36 4 320 9 200 84 -1 3.8 9.7
Sundsvall 23660 62.53N 17.45 E 32 14.683 8293 -14 -8 24 20 39
17 28 23 32 3 310 IO 140 82 -14 3.1 9.4
Un@ar 26660 56.03 N 15.80E 9 14.6958293 II 16 41 37 34 43
34 39 37 1 1 20 12 250 74 13 4.3 9.4
Uppsala 24580 59.88 N 17.60E 134
14.629
8293-4 3 24 21
19
28
35 25 37 6 330 9 23082-42.711.9
\'isby 25900 57.67N 18.35E 154
14.618
8293
12
16 31 28 25 33 33 30 34 12
20
12
210
81 8 3.8
8.5
S\VIIZERlA.ND
Ceneva 67000 46.25N 6.13E 1364 13.989 829318 23 20 17 15 21 38 18 38 6 230 8 210 92 14 2.0 6.8
Interlaken 67340 46.67N 7.88E 1902 13.717 829315 19 16 13 11 15 35 12 32 6 190 8 280 88 I I 3.4 7.4
Jungfrau Mountain 67300 46.55N 7.98 E 11732 9.448 8293 -15 -11 48 41 33 48 3 43 6 16 310 1 1 140 48 -19 6.5 6.8
Ca Chau.-De-Fonds 6612047.08 N 6.80E 334313.0098293 6 122017 15 22 351933 3 230 7 25086 -1 8.6 11.0
Locarno 67620
46.17 N 8.88 E 649
14.358
8293
16
24
21 13 11 4136 13 42 4 90 6 240
3.6
16
89
5.2
W O # = World Meteoroh~gicafOrganization number Elev = elevation, ft DB = dry-hulb temperature, 'F
Lat = latitude Long. = longitude StdP = standard pressure at station elevation, psia WS =wind speed,
mph
104
69
64
64
109
110,
102
68 107
. 108
'64
63 100
67
64
63
72
96
69
68
104
95
":
IO 104 69 103 63
67 ' ' 9 1 : . ' , 6 6 96 ''62
67 95 65 94 59
90
?!:i
80
75
: 73
17
61
6q
56
-- 83
83
74
,
77
12
'72 57
58
55
'
75
76
, ,~
71
15 29.7
12;. 2 5 2
76 26.6
Turavf 102 64 99 63 91 62 68 92 66 91 65 90 60 81 78 58 18 75 56 13 74 21.4
Yanbu'al
Bahr 76 104 75 106 76 109 8382 96 95 .81 . 94 . . 81. 90.159. . 19 150 88
89142 77 25.1
. . .,. , . . ., ,' . .,, ,
SENEGAL ' . , ,. , , , I <,:
. .. , ,
. ,,.,. .., , .. .,:, ..
Lhhr 89 14 88 71 86 j 786 81 8 079
" 85 ' ' 84 19 152 84' 79 150' 83 1883 146 9.1
Zilina 65 85
82
. . 67
. 79 67 82 18
68
. .
64
.
64 16 65
.......
92. . 13
88 62
. . 71
84 61 IO 21.8
, .
SOLvMlA , , .., , , , . , .......
Liubliana
, , 83 68 86 61. , 80
. 65 70 83
80 68 96 67
65 78 1492 6488 62 '12 22.3 72, . .
SOVnr~RlC4 . , .., , ,.,
, ,
... ,
Interlaken 82 65 79 65 76 63 61 80 65 II 64 14 63 91 72 61 81 60 70 83 69 11.8
-lunefrau
" Mountain 43 33 41 32 39 32 37 40 35 38 34 37 35 47 38 33 43 32 36 41 35 6.8
4 ChaUX-WFOnQ ,78 . 62 74 . 61' 11. , 5 9 63 . . I5 52. 60 . 70 59 : . 8 5 : : , 67 1.58.. 80 . 66... 56 ,,:,: 76 'i 63.:,1?;6
Locamo 84 70 82 69 8072 67 82 71 80
~~
69 78108 69 18 ~~~
6176 102 66 97 14 11.8
MDB = meancoincident dry.hulh temp&a&, 'F WS = mean coincident wind speed,mph SKID = standard deviation HR = humidity ratio
MWB = mean coincidentwet.huh temperature, 'F MWD = meanmincidentwind direction A = airport DP = dew.point temperature, 'F
Khuiand (Leninabad)
99 66 96 67 9470 66 69 92 91 90 67 616379 23.0
90 78 79 59 79 84
64 84 65 62Ankr84
a 63 86 63 90 83 74
63 5581 72 5978 83
57 73 70 28.4
Erzurum 84 61
58 76
82
79 6160 78 62 5980 64 8856 74 82 72 54
70 76 29.9
Eskisehir 90 , 68 6787 , 85 ' 66 71 ' 85 69,:
83 67 83 .:a6 105
, , SO 6 4 ' p7 78 62 , , 92 ?$: 25.9
Istanbul 86 70 84 69 83 69 74 82 72 80 71 78 72 117 78 70 111 76 68 105 76 15.3
IzmidCigli(Cv/AFB) 96 72 93 71 91 70 74 92 73 90 72 89 68 104 83 67 98 82 66 95 81 23.0
Malatva
. .~. 97 68 95 67 93 66 70 94 68 93 67 91 61 88 87 59 82 85 57 77 83 27.4
Van 82 66 84 66 8068 80
65
81 11670 66 78 66 80 62 6478 108 101 77 19.4
TURIUIENBTAN . .. , ., . ,
70 92 72 bhgabat
94 73 bhkhabad)
67 99 67 102 67 104 99 66 91 85 6364 85 92 87 24.184
Dashhowz (Tashauz)
74 99957475
103 98 77 71 96 73 70 93 112 92 68 90105 98 66 88 24.3
,. ,
...,. .
, ,
UNTI%DKINGDOM 6: NORTHERN IREUND ,
Sumy 67 84 8170 64
66 78 77 68
19 66 99
15 66 74
92 64 12 63 88
17.1 71
MDB = mean coinddent dry-hulh temperature, 'F WS =mean coinddentwlnd speed, mph St& =standard devlation HR = humidity ratio
W B = mean coincident wethulh temperature, 'F hlwD = mean coincidentwlnd direnion A = airport DP = dew.point temperature, 'F