Atlas of the Climates of Texas (Based on the 50 Year Period 1910-1959)

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Bureau of Engineering Research The University of Texas

Atlas of the Climates of Texas (Based on the 50year period 1910- 1959)

Wilfried H.Portig

Visiting Lecturer in Meteorology

JUNE 1962

Price $2.00 BUREAU OF ENGINEERING RESEARCH

THE UNIVERSITY OF TEXAS

Atlas of the Climates of Texas - (Based on the 50 year period 1910 1959)

Final Report,

The Study of Weather Modification

Wilfried H. Portig

Visiting Lecturer in Meteorology

Director

Special Publication No. 31

JUNE 1962

Price $2.00 Table of Contents

Page

X6Xue«t>o«»*«e»»*e»***>eo«aeoos*»«e J

Texas counties and their climatological stations. """»"«. 9

Alphabetical station index. ."***"""„*«..""."" 15

Monthly mean temperatures (table) ""«"»»"««.""*"" 18

Monthly mean precipitation (table), ."*"»""«" 23 " " Types of annual rainfall (diagram), .... " """..■.. 29

Geographical distribution of rainfall types (map) .«",-""" 30

Probability that for a station with a known mean annual precipitation, the rainfall of an individual year will exceed a certain amount (diagram) „.,„„<,.. 31

Probability that for a station with a known mean monthly rainfall the rainfall of an individual month will 9 , exceed a certain amount (diagram). .. c « . <> .. . «, . 32 Isopleths of greatest observed amount of precipitation in a single month (map). "".*""""."»""""*" 33

Monthly mean temperature (12 charts),, """""""**""«" T-l-12 ..„ " Annual mean temperature (chart) . o .. *". « ... . T-13

Temperature of the hottest month (chart )„ »*""»*"*... T-l4

* Temperature of the coldest month (chart). ... . .«, .. T-l> " " Mean monthly precipitation (12 charts). » . . « ...... P-l-12

Mean annual precipitation (chart) »»*«""»""*"""«" P-13

2 Atlas of the Climates of Texas (Based on the 50- year period 1910 1959)

Intoduction Originally the elimatologicalinformation in this atlas was gathered and condensed into tables and charts in order to give a reasonable physical climate basis for -weather modification studies. It was found that many people not directly involved in those studies, are just as well interested in the climatic conditions, especially aii %he t^me of economic boonio New industries look for new sites; new agricultoral techniques are to be applied under appro- priate conditions of weather and climate; the growing population and increasing industry require more -water whose resources depend on climate; and also tourism becomes more and more important.

A region such as Texas, severely struck by climatic hazards in the past, has more to gain from climat©logical investigations than regions under less extreme conditions.

A few attempts have been made in the past to divide Texas in- to climatic regions, and names such as semiarid, subhumid and others have been usedo However, classifications tend to be artificial and they are sometimes misleading. The considerable changes of climate across Texas are gradual; no natural boundary separates the moist East from the dry West, or the cool Horth from the warm South. Therefore, charts representing temperature distribution hj lines of equal temperature (isotherms), and rainfall distribution by lines of equal precipitation (isohyets) are an adequate means of representing the climatic conditions "

Data The longer a series of climatological observations, the more representative are the results derived from it. However, the longer the chosen period, the smaller is the number of stations with complete records. After careful inspection of the- available data., it was decided to choose the 50 year period 1910 1959 as the in- terval on which the charts are based»

Series of less than 50 years out of the mentioned period should be "reduced" (adjusted) to the standard period. A reduction of a deficient series is based on the assumption that the difference of the temperatures of neighboring stations is markedly less variable than the temperatures themselves. For practical computation the difference has to be considered as constant. The mean temperature difference of all available years is computed between a defective and a complete series. This difference is added to the mean temperature of the complete series as it is computed from all 50 years. The result of this procedure represents the mean temperature of the station with a defective series^ reduced to 50 years. This is an old way of adjusting deficient climatological observations by means of a complete series of a nearby station c For precipitation,

3 the ratio instead of the difference is used (l).

The difference between reduced and" non-reduced means is neg- ligibly small when only a few of the 50 "basic years are missing. Therefore the reduction las not made when the data of at least k6 years out of the period are available o

In the tables, the original and, in parentheses,the reduced data can "be found. For dratsring the isotherms and isohyets only the reduced values of stations with records of less than k6 years were considered.

It can be seen in the tables that, especially in rainfall series of West Texas9 a considerable difference between the original and the reduced means can be found when the number of available years is much siaaller than 50« This has its reason in a clinßtic fluctuation that took place during those fifty years9 which can be easily demonstrated by means of the following example.

During all months of July 1910 through 193**,? El Paso received inches of rain« During the next period of 25 years,1953 through 1959> only 31»l6 inches were recorded in July« The sum of both periods is 73*69 inches, and the divided by 50 gives us the July precipitation l.Vf inches which can be found in the tables and in the charts. Suppose we had only the last 25 years of the period at our disposal, we would calculate 31*16 divided by 25, equal to 1=25 inches* The average based on 25 years differs considerably from the mean based on 50 years, and therefore non-reduced values simply computed by averaging the available data, cannot be compared with the averages of stations with other years of record*

All means have been computed anew, and the calculation was checked in several ways, such as by adding the lists horizontally and vertically, by numerical comparison of the data with those of the neighborhood, and by graphical comparison with other stations of the same area» It cannot be assumed that the presented data are absolutely exact j however, it can be hoped that the remaining errors are less numerous than in some other publications of this kindo

Charts and Tables The big charts and the tables contain average values of the temperature and of the precipitation for every month and for the year. Additional maps of the same size inform of the extreme monthly means of temperature recorded between 1910 and 1959 The charts will be supplemented by a series of maps to be published by the TJ.So Weather Bureau (2). Those maps will represent the mean daily maximum and minimum temperatures of January and of July.

The difference between "maximum of a monthly mean11 and "mean daily maximum of a month" deserves some explanation. In the first case the mean temperature of every day is computed by several measurements made every day at scheduled times. These daily means are combined to monthly means, and out of the latter the greatest

4 is selected* In the second case, one value, the highest temperature, is measured daily. These data of a certain month of each year are averaged. The two values cannot be simply compared» The effect of a high mean daily maximum can be compensated by a low daily minimum, as is uaually the case in arid regions; or it can be augmented by ". :'. high daily minimums such as on the tropical "waters. The extreme monthly mean, however, designates an outstandingly hot or cold "spell" which occurred but once in many years <.

Use of the Charts When using the charts it must be kept in mind that the data are averages of 50 individual values. It cannot be seen whether the individual values cluster close to the mean, or whether they spread out over a wide range. Further, fifty years are not enough to compute means that are as stable as to be considered unchangeable throughout the ages* And even if we possessed stable means, there would be fluctuations of climate, dry spells would alternate with moist ones, and cold periods with warm ones.

In the mountainous Trans-Pecos area of West Texas, the observations are not frequent enough and the station network is not dense enough to allow a correct and complete analysis of the climatic conditions. The maps of this atlas give the best guess possible at this time. It must be expected that future measurements will change the isohyets of the Trans-Pecos area to a greater extent than its isotherms. Finally, although the U.S. Weather Bureau did its best to in- stall the instruments at the most representative location of a community, it cannot be denied that the measurements reflect only the conditions at the site of the instruments, and that the conditions of the environs can be different. (Compare e.g. the precipitation data of Fort Worth with those of Dallas). The actual conditions of the environment as opposed to the specific measure- ment site are not known and cannot be considered in the maps. In particular, allowance cannot be made for all differences in elevation of measuring sites.

In order to make the maps more useful, some additional information is offered. (a) The diagrams on page 29 shows the different types of rainfall distribution throughout the year. There are portions of Texas which do not have a pronounced variation of rainfall (type G), other parts have one rainfall maximum in late spring and one in early fall (types B,C,E), and one district has its rainfall minimum when the majority of the state has a maximum (H vs. A,B,C, and E). The horizontal line at the value 8.3$ of each diagram represents an evenly distributed rainfall « (100$ in a year> 100/12 = 8.33$ per month). .:'The steps indicate the percentage of the total precipitation that fell in a month during the fifty years in question. The chart on page 30 shows the geographical distribution of the annual rainfall types.

5 It is likely that the limits from type to type will change when more data accumulate " However, future corrections will not be great enough to erase the basic difference between the A and B types in the western part of the state.

The information described in paragraph (a) has been taken directly from the charts and tables of this atlas. It is nothing new but only another form of representation which may be more useful for answering specific questions. (b) The diagram on page 31 shows how the actual values of the annual precipitation are distributed around the mean (taken from the tables or the chart "annual precipitation" " Although the climates of Texas are very different, the data from different portions of the state yielded almost the same results as far as not absolute extremes are concerned.

The following example shows the use of the diagram. The vertical line coming up from UO inches meets the horizontal line 30 inches at the intersection with the skew line 15$. That means: A station with the 50 year mean of 30 inches has fifteen out of 100 consecutive years with more than kO inches (which, of course, are compensated by other years of the same period, with less than 30 inches). It can be seen further, that a station with a 50 year mean of 30 inches is not likely to have more than one year with less than 10 inches, nor more than one year with more than 56 inches, out of 100 consecutive years. This diagram is of special importance for the construction of dams and drainage works. (c) The diagram of page 32 is similar to that of the frequency distribution of annual rainfall (see paragraph (b)). It gives the frequency distribution for monthly rainfall and is used like the diagram described in the previous paragraph. Also with monthly rainfall neither the region of the location of interest, or the season have to be taken into consideration, as far as frequencies between 5 and 85$ are concerned. This diagram is of special importance for irrigation projects and for the estimate of the current water supply of industrial plants. (d) The diagram on page 32 described in paragraph (c) does not inform of extreme monthly rainfalls The minimum rainfall of every month and of almost every region is nil. The maximum rainfall as it has been measured up to now is presented on chart 33 in such a way that the maximum monthly rainfall that may fall twice in a hundred years, can be learned. This is good enough for normal planning. However, there were some individual rainfalls so severe that they cannot be represented in the map. On Septem- ber 9, 1921, 37 inches of rain fell in Thrall, 65 miles; north- east of the state capital; on June 27 through July 1, 1Q99, 33 inches fell at Turnersville, west of Waco. On June 26 through 28, 195** > 27 inches of rain were recorded in Pandale> .half way

6 between Del Rio and Fort Stockton. These rare catastrophic downpours are more than the values of the maximum rainfall map (page 33 )" Be- sides that, the map shows monthly rainfall extremes, and the itemized storms occurred in little more than a day. That means that the map on page 33 has to be used with much care. (c) It was said above that 50 years do not yield stable means. The following table gives an indication as to the variation of the mean precipitation when the period is shifted.

Dates- Brownsville Austin ,; ElPaso 855 - 19Q3 33-52 inches .862 - 1910 33«58 .869 - 1917 26.29 33.10 9^12 .876 - 1924 27-05 34.07 9*12 .883 - 1931 26.84 3^35 8.83 .890 - 1938 25.06 33.92 8.41 897 - 1945 26.17 34.62 8.66 $Ck 1952 26»92 33.97 8.38 .911 - 1959 27.01 34.09 8.15 With the exception of El Paso, no trend can be found in the variations of the long term mean. The standard error of El Paso's mean 9*12 is ■£0.52. It is just so high that the laws of theoretical statistics do not decide whether the decrease from 9.12 to 8.15 inches has to be considered as statistically significant or as accidental.

(f ) A table for the annual temperature similar to the previous table for precipitation looks like this:

Dates- Brownsville Houston Abilene El Paso 1870 - 1918 72.88 °F 1876 - 1924 73-12 1883 - 1931 73.16 63~62 1890 - 1938 73-40 69.20 6k.kk 63-71 1897 1945 73-42 69.39 64.49 63.80 19014. .- 1952 73.65 69.64 64.64 63.88 1911 1959 73.65 69.73 64,72 64.02 The standard error for 73<65°F (Brownsville) is only ± 0.15°F, so it is quite obvious that the climate of Texas has become warmer in this century, and the average rate of warming was o.olB°F per annum at all four stations with long temperature records. It may be of interest that the increase of annual temperature at Brownsville was first of all due to temperature rises in January and February with I.5°F each, and in September and October.with 1.0 F increase between the first and the last date of the table above. The other months contribute on the order of -J0 or less; March is the only month with a decrease of temperature (-^-°F) in the mentioned period. An explanation for these temperature changes cannot be offered, however, they occurred in similar form inJother partscof.rthe northern hemisphere*

7 (g) A frequency distribution of the temperatures is not so useful as that for precipitation because the seasonal march over- shadows most of its fluctuations. Not overshadowed by the seasonal march are the temperatures of the coldest and warmest months. There fore two big charts show isotherms of the coldest and of the warmest month respectively. They are based on the monthly temperature means observed form 1910 through 1959*

(h) All data used for the construction of this atlas, in- cluding the locations of the stations, stem from publications or from the files of the U.S. Weather Bureau, State Climatologist for Texas, Austin, Texas. They were supplemented by corresponding data from the adjacent states. Requests for further information should be directed to those agencies. Questions referring to the tables and charts presented in this atlas should/be directed to the Department of Meteorology, University of Texas, Austin, Texas.

References (l) e.g. V. Conrad and- L. W* Pollak, Methods in Climatology 1950, pp. 232 237. (2) U.S. Weather Bureau, Climatography of the United States, Climates of the States, Texas, under press.

8 Texas Counties and their Climatological Stations (as far as used for this atlas)

COUNTY STATION

Anderson Palestine Andrews Angelina Lufkin Aransas Archer

Armstrong Atascosa Austin Bailey Muleshoe No. 1 Bandera

Bastrop Baylor Seymour Bee Beeville S HE Bell Temple Bexar San Antonio WB AP

Blanco Blanco Borden Bosque Bowie Brazoria Angleton k HE

Brazos College Station FAA AP Brewster Alpine and Marathon Briscoe Brooks Falfurrias Brown Brownwood

Burieson Burnet Caldwell Luling 1SE Calhoun Callahan

Cameron Brownsville WB AP Harlingen San Benito Champ Carson Cass Castro

Chambers Cherokee Childress Childress Clay Henrietta Cochran

Coke Coleman Coleman Collin Collingsworth Colorado -9- Texas Counties and their Climatological Stations Cont

COUHTY STATION

Comal New Braunfels Cosianche Concho Cooke Gainesville Coryell

Cottle Crane Crockett Crosby Crosbyton Culberson

Dallam Dallas Dallas WB AP Dawson Lamesa 1SSE Deaf Smith Delta

Denton Denton Exp. Sta. De Witt Cuero 3 NW Dickens Spur 1WW Dimmit Carrizo Springs Donley Clarendon

Duval Eastland Eastland Ector Edwards Ellis

El Paso El Easo HB AP Erath Dublin Falls Fannin Bonham Fayette Flatonia

Fisher Floyd Foard Fort Bend Sugar Land Franklin

Freestone Frio Dilley Games Seminole Galveston Galveston WB CITY Garza

Gillespie Glasscock Goliad Gonzales Gray Pampa

10 Texas Counties and their Climatological Stations Cont

COUNTY STATION

Grayson Sherman No. 2 Gregg Longview Grimes Guadalupe Hale PTai.nvi.ew

Hall Memphis Hamilton Hansford Hardeman Quanah 5 SE Hardin

Harris Houston ¥B CITY Harrison Marshall Hartley- Dalnart FAA AP Haske11 Haskell Hays San Marcos

Hemphill Canadian Henderson Hidalgo Mission Hill Hillsboro Hockley

Hood Hopkins Houston Howard Big Spring Hudspeth

Hunt Greenville 2 SW Hutchinson Irion Jack Jackson

Jesper Jeff Davis Fort Davis Jefferson Beaumont Exp. Farm Jim Hogg Jim Wells

Johnson Cleburne Jones Karnes Kaufman Kendall Boerne

Kenedy Kent Kerr Kerrville Kimble Junction CM AP King

11 Texas Counties and their Climatological Stations Cont

COUNTY STATION

Kinney Kleberg Knox Lamar Paris Lamb

Lampasas Lampasas La Salle Encinal Lavaca Lee Leon

Liberty Liberty Limestone Mexia Lipscomb Live Oak Llano Llano

Loving Lubbock Lubbock WB AP Lynn McCulloch McLennan Waco WB AP

McMullen Madison Marion Martin Mason

Matagorda Maverick Eagle Pass Medina Hondo Menard Midland Midland MB AP

Milam Cameron Mills Mitchell Montague Montgomery

Moore Morris Motley Nacogdoches Nacogdoches Navarro Corsicana

Ne\rton Nolan Nueces Corpus Christi Ochiltree Oldham Vega -12- Texas Counties and their Climatological Stations Cont

COUNTY STATION

Orange Palo Pinto Panola Parker Pafmer

Pecos Fort Stockton Polk Potter Amarillo WB AP Presidio Presidio Rains

Randall Reagan Real Red River Reeves Balmorhea Exp. Pan.

Refugio Roberts Miami Robertson Roekwall Runnels Ballinger 2 N

Rusk Sabine San Augustine San Jacinto San Patricio

San Saba Sehieicher Scurry Snyder Shackleford Albany Shelby

Sherioan Smith Sumerveil Starr Rio Grande City Stephens

Sterling Stonewall Sutton Swisher Tarrant Fort Worth WB AP

Taylor Abilene WB AP Terrell Sanderson Terry Throekmorton Titus Mount Pleasant -13- Texas Counties and their Climate-logicalStations Cont

COUHTY STATION

Tom Green San Angelo WB AP Travis Austin WB AP Trinity Tyler Upshur

Upton MeCarney Uvalde Uvalde Val Verde Del Rio WB CITY Van Zandt Wills Point Victoria Victoria WB AP

Walker Huntsville Waller Ward Grandfalls 3 SSE Washington Brenham Webb Laredo WB AP

Wharton Danevang Wheeler Pierce Wichita Wichita Falls WB AP Wilbarger Willaco

Williamson Wilson Winkler Wise Bridgeport Wood

Yoakum Young Graham Zapata Zavala

-14- Station Index

Name County LatitudLatitudete Longitude ElevatioElevation N W feet

Abilene WB AP Taylor 32 26 99 hi 1759 Albany Shackelford 32 44 99 18 1^29 Alpine Brewster 30 23 103 ko kk33 \: Amarillo WB AP Potter 35 14 101 k2 3590 Angleton 4 m Brazoria 29 12 95 23 27 Austin Travis 30 18 97 k2 615 Ballinger 2 N Runnels 31 46 99 57 1637 Balmorhea Expo Pan. Reeves 31 00 103 kl 3225 Beaumont Exp. Farm Jefferson 30 04 9k 17 30 Beeville 5 KE Bee 28 27 97 k2 225 Big Spring Howard 32 15 101 27 2528 Blanco Blance 30 05 98 25 1350 Boerne Kendall 29 49 98 k3 Ikl2 Bonham Fannin 33 36 96 11 566 Brenham Washington 30 10 96 23 350 Bridgeport Wise 33 12 97 h6 754 Brownsville WB AP Cameron 25 54 97 26 16 Brownwood Brown 31 43 98 59 13^5 Cameron Milam 30 51 96 59 393 Canadian Hemphill 35 55 100 22 2324 Carrizo.Springs Dimmit 28 31 99 52 600 Childress Childress 3^ 26 100 12 1880 Clarendon Donley 3^ 56 100 53 2720 Cleburne Johnson 32 21 97 23 758 Coleman Coleman 31 50 99 26 1710 College Station FAA AP Brazos 30 35 96 21 31^ Corpus Christi WB AP Nueces 27 h6 97 26 kl Corsicana Navarro 32 05 96 28 kks Crosbyton Crosby 33 39 101 15 3105 Cuero 3 NW Dewitt 29 08 97 19 180 Dalhart FAA AP Hartley 36 01 102 33 3989 Dallas WB AP Dallas 32 51 96 51 487 Danevang Wharton 29 02 96 12 70 Del Rio WB CITY Val Verde 29 20 100 53 957 Denton Exp0 Sta. Denton 33 15 97 11 621 Dilley Frio 28 kO 99 10 569 Dublin Erath 32 05 98 20 1466 Eagle Pass Maverick 28 I*3 100 30 743 Eastland Eastland 32 2k 98 49 1435 El Paso El Paso 31 106 24 3920

15 Station Index cont.

Name County Latitude Longitude Elevat:Elevation N W feet Encinal 3 NW La Salle 26 04 99 22 569 Falfurrias Brooks 27 13 96 08 no Flatonia Fayette 29 4l 97 06 465 Fort Davis Jeff Davis 30 36 103 53 4800 Fort Stockton Pecos 30 54 102 58 2925

Fort.Worth :WB AP Tarrant 3? 50 97 03 3kk Gains ville :■: Cooke, 83 38 9? 08 745 Galveston WBCITY Galveston 39 U& 9h 59 . ;7 Graham- J?: ■) fr-j-A Young 33 D0 19a 35 1040 Grandfalls 3 SSE Ward 31 18 102 50 2440 Greenville 2 SW Hunt 33 07 96 08 550 Harlingen Cameron 26 12 97 k2 37 Haskell Haskell 33 10 99 I+^4- 1605 Henrietta Clay 33 -96 12 915 Hillsboro Hill 32 01 97 08 625 Hondo Medina 29 21 99 08 901 Houston WB CITY Harris 29 k6 95 22 41 Huntsville Walker 30 kk 95 3h 400 Junction CM AP Kimble 30 30 99 hb 1705 Kerrville Kerr 30 02 99 06 1650 Lamesa 1SSE Dawson 32 k2 101 56 2965 Lampasas Lampasas 31 03 98 11 1016 Laredo WB AP Webb 27 32 99 28 500 Liberty Liberty 30 03 9k k9 38 Llano Llano 30 h$ 98 in 1040 Longview Gregg 32 29 9k k3 345 Lubbock WB AP Lubbock 33 39 101 50 3243 Lufkin Angelina 31 1^ 9k k

16 STATION INDEX cont.

Name County Latitude Longitude Elevat:Elevation N W feet New Braunfels Comal 29 I+2 98 07 720 Palestine Anderson 31 V7 95 37 580 Pampa Gray 35 32 10 58 3225 Paris Lamar 33 95 3^ 5k2 Pierce Wharton 29 15 96 11 102 Plainview Hale 3^ 12 101 I+3 3^-00 Presidio Presidio 29 33 101 2h 2582 Quanah 5 SE Hardeman 3>+ 15 99 11+95 Rio Grande City 2 ESE Starr 26 22 98 I+7 160 San Angelo WB AP Tom Green 31 22 100 30 1903

San Antonio WB AP Bexar 29 32 98 28 792 San Benito Cameron 26 08 97 38 37 Sanderson Terrell 30 08 102 22 3000 San Marcos Hays 29 53 97 57 600 Seminole Games 32 I+2 102 l+o 3318 Seymour Baylor 33 35 99 16 1291 Sherman No. 2 Grayson 33 38 96 36 71+5 Snyder Scurry 32 I+l+ 100 55 2^+so Spur 1WNW Dickens 33 29 100 53 2271+ Sugar Land Fort Bend 29 37 95 38 79 Temple Bell 31 06 97 21 675 Uvalde Uvalde 29 12 99 >+8 937 Vega Oldham 33 15 102 26 I+ooo Victoria WB AP Victoria 28 I+7 97 05 110 Waco WB AP McLennan 31 37 97 13 500 Wichita Falls WB AP Wichita 33 59 98 31 1020 Wills Point Van Zandt 32 I+2 96 01 532

17 .7 o4 ANNUAL 6465*0(65oO)63.3(63.3) 69.1 68.264o964.9(64.9)70.070.9 64.0660O66oO 68.4 64.3(64.0)73-565A68.2(68.3) 71(71.7) DEC. 45.9 (46.ii-")48.7(48.3)38.456.6 52.146.647.9(47.8)55.5 44.849.950.845.252.5 46.0(45-1)6l,247.551.4(51.4)55*3(55.4) NOV. 53.8 (54-0) (54.3)46.461.7 59.053.954.2(54.7)61.663.O 52.556.257.0 53-459*6 52.6 67.655.058.9(58.8)61.6(62.3) OCT. 66.366.8(66.6)65.0(65.2) 7loO 70.366.666.0(66.8)71.873.0 65.467*867.665.770.6 66.1(65*6)75*767.07O»5(70.5)73.O(73.3) .7) SEPT, 76.677.2(77.3)72.1(72-1)70.4 78.5 79.376.774.7(7480.18O.7 75.777.676.477.279.4 76.9 77.280.0(80.0)81.5(81.8) AUOL, 83.684.9(84.9)77.0(77-1)77«582,2 84.783.780.0(80.1)84,184.8 82.483*38lo383.984.5 85.0(84.3)84.384.285.6(85.6)86.6(86.9) o2 *8 JULY 83.884.6(84.7)77-4(77.4)78.682.0 84.583.880.8(80.8)84.1 84 83.O83.38I0O 8384.1 84.6(84.5)830884.485.I(85*2)86.5(86.7) *4 JUNE 8O.580*9(81.0)77.6(77.2)74.780o2 81.780.880.7(80.2)828lo9 80.68O.378,479«98lo3 80.6(8O.5)82.58O.581.6(81.6)84*5(84.4) .2. c2 »4 . 64,8 71 (78.9) MAY 72.272.4(72.2)70.8(70.7) 74.7 74.872.6 72.8(72o7)76.376.9 72.3 7372 74.9 71.8(71.1)78.872.575.1(75-1)78c7 years 08 AER^ 6464.7(64,5)63.4(63*2)56.268.4 67«765.I65.6(65o4)69.471.1 64.263o765.263.367.8 6306(63-4)74.065.O67*7(67.7)72.1(72.5) 50 to MAR. 55-955-1(55*1)55»8(56.0)46.961.8 60.255-757.4(57.5)62.364.4 55*056*558.954.260.3 54o5(53.8)68.056.460.0(60.1)64,7(65.O)

8 o2 O .1 reduced FEB^ 48.848.6(48.4)51.2(51.4)40,457-7 5449.251.8(51.7)57«4 58.6 48d 51.553.I 46 54.4 47.1(4J.1)64 49*553-4(53*5)58.5(58.8) are ) (1910-1959) JAN. 44.644.3(44.7)46.7(47*4)36*954.9 50.444.247..0(47»5)54.555*3 43o948,249c742.851*6 42.8(42.7)6loO450849o6(49.5)54.2(54.3) . (parenthesis Means OF ORD_Min 50 4l 28 5045 494735 48 48 494648 44 48 24 50 4939 35 in TemperatureAnnual YEARSRECORD_REaMax, 50 42 31 5047 50 50 36 50 50 50 50 50 48 50 25 50 50 48 38 and Numbers Spring Springs : TexasMonthly STATION Abilene Albany Alpine AraarilloAngleton AustinBaUingerBalmorhea BeaumontBeeville BigBlancoBoerneBonhamBrenham Bridgeport BrownsvilleBrownwood Cameron Carrizo NOTE -18- 6 6 68,6 c ANNUAL 62.3(62.1)59-6 (66-3)66.0 71o666.460.270.0 54 65.970.169.664.870.7(70.6) a.71.163.9 71.9 .4 DEC. (42.1)39-548.8(48.6)47.653-2 58.748.741.455.3 34 47.956.552.346.754.9(54.6) 46.653.246ol 55.8 NOV. 50.2(50.2)48.2 (55.8) 64.956.448.863.042.6 55.762.359.454.661.3(61.2) 54.560.453.1(53-f)52.462.5 ol OCT. 64.3(63.8)60.868.1(68.0)67o270.6 74.468.561.568.556.2 67.972.2 7167*072.8(72.8) 67.O72.765.6(65.6)65.473*5 2) C SEPT.SEPT, (75.3)72.378»O (T877.479-5 81.078.672.380.768.1 78.0 79*680.175«o81.2(81.-2) 77»O80*6 76.0(76.0)75-4 ,81.9 AUG. 83*6(82.4)80,285.O(85.1)83.984.8 83-985.279-485.475.7 84.883.-685»484.486.0(86.1) 84.287.583A(83-4)8O.586.8 o2 JULY (83-4)81.384.7(84,8)83.984.4 83.685.I80.285.0 77*4 84,883.585.2 8485.6(85.6) 83.887.683.2(§3.2)82.286.8 o2 e4 JUNE 80.0(79*6) 7781.1(81.2)80.481.6 8lo981*577.182.572.8 81.2 8183oO80,-383»5(83.3) 78.285.579.8(79.8)81.284.6 «4 . MAY 70.0(70.1)67.372.9(72o9) 75-1 77«0 73.067.876.762.8 72.876.277.271.6 77.8(77°8) 71.4 79.571.O(71.0)72 79.4 years 8 .2 O APR. (61.5)58.765.8(65.9)66*368.1 71.365.359.569*953.2 6569.670o664d71.3(70.9) 63.97263.6(63.6)63.672.9 50 to ,2 oO *7 .1 MAR. 51(52.0)49«357*5(57*7)57.760*8 64.956.950.462.843»2 56.763.16355-8 63(63.5) 55.363.4 54.3(54.3)55-4 65 o2 reduced (1910-1959) EBB.REB* 44.3(44.7)42 (50.6)51.454.8 60.150.344*657=136c5 49.857.956.449.057°4(57-3) 48.557<>747.6(47-7)49.858.7 are (continued) JAM.JAN* 39.8(40.1)38e346.8(46.9)47.551.2 56»947.O39*953»332.8 45o855»O 51o644.753<.2(53.5) 45.252.543-6(43*6)45.O54.8 Means OF Min.o 31 4743 4949 50484746 49 46 48 4944 42 454843 5045 (pareriiiesis) 32 4946 50 50 50 50 50 50 50 4750 504744 48 5049 50 49 in Annual YEARSRECORD Max* . Temperature and Sta. Christ! ton Pass Numbers Monthly College Corpus Crosby Rio Dilley Paso Texas STATION Childress ClarendonCleburne Coleman Corsieana CueroDalhart DallasDanevang PelUenton Dublin EagleEastland ElEncinal NOTE". 1H 5= «8 ANNUAL 6965o966.064 69>964.8(64,964.5(64.4)74.0(74.0)63.8 64.266.269*569.767.4 64.661.7(61.6)65.873.6 c4 DEC 59*254.648.848.045=7 56.745o8(45«8)45*9(45.4)6lc9(62.0)44.3 44.348.053.455«8 52.6 48.648.2 43(42.6)48.657.4 NOV. 65°36leO55=455*753.8 63«l53.6(53«6)53*7(54.0)67.4(67*3)52*5 52.855°560.261.758.O 54.8 54.750.2(50.2)55*664.2 08 3* OOP, 74.872eO67,068.066.6 73.266.8(66.8)66,8(66.8)75(75*7)65.4 66.268.471.272.069»3 66.866.163.1(62.6)67*4 75 .2 SEPT. 8279*876.O 78.277*7 80.377c6(77*6)77*9(77*9)81.9(81.9)76.4 78.179d80.179.778.1 75.975»573«3(73*1)77.483^1 A .2 »8 AUG. 86.585cO8lc785.O84.6 8385^0(85.0)84.6(84.2)85.3(85.3)83.7 85.885«58583.983.4 82.281.080.0(79*9)83*987 *6 *4 JULY 860I82.982o384.984.7 83«O84.9(85*0)84.0(84.0)84.6(84.6)84o0 85«985.385.0 8383 80.580.880.6(80.7)83*787.6

2 7 .2) .2 0 . o4 JUNE 8481.981.28180 81.380.9(80.8)80o3(80.3)83.1(8380.5 81.381.682.481.681.0 7978.278.9(78.9)80.185.9 .7 c9 -h »4 MAY 7975*7 7372.872.1 75«571*9(71.9)71.8(71.7)79.7(79o6)71c6 71*7 7375-975.774.0 72«3 7170.1(69.8)72.380.7 *7 years APRc 74.169.166.065.264.4 68.664.3(64o3)63*9(63*6)74.8(74,9)63.8 63.365.569*369.065 65.464.161.6(6l.l)65,075.3 50 to «9 08 MAR. 67.562.2 5756.855o7 61.755*3(55.3)54.4(54.5)68.5(68.7)54.3 53*456.762.562.459-2 5756.952.4(52.3)57*367.6 8 reduced FEB. 61.56.552.349^948.3 57-147.8(47*8)47»4(47.0)64.3(64.2)46.5 46.249.856.457.253.2 51.950o745.5(45.7)50.66l.4 are 2 (1910-1959) O .7 (continued) JAN. 57*252o948 46.043c7 54.744.3(44.3)43.4(43o2)6loO(60c9)42.5 41.845*952.454.3 4747.241.4(41.7)47.156.8 OF (parertiiesis) Means Mino 484848 50 49 50 36 38 44 46 494748 50 48 474931 4747 Annual YEARSRECORD Maxo 50 50 50 50 50 5040 39 46 50 504950 50 50 50 50 33 50 50 in TEMPERATURE and Numbers s Stockton Worth ; TEXASMonthly STATION FalfurriasFlatonia Fort FortGainesville GalvestonGraham Greenville Harlingen Haskell HenriettaHillsboro HondoHoustonHuntsville JunctionKerrvilleLamesa LampasasLaredo NOTE roo 8 .8 a 66,0 ANNUAL 68.96666.0 69oO 61*(62.1)66.267=0(67.160o9(60.8) 57»863.6(63.7)74.1(74.1)64,2(64.2) .57.2(57-2) 65.669.266.5(65.5)63*868.8

7 o DEC. 55*048.648.64i.352.7 46.3(46.7)49.248.7(48.2)40(40.5)48.8 37.245*5(44.8)60.8(60.8)46.7(46.3)38.6(37.7) 49.553-950.4(50.0)45.254.8 NOV. 60.356.155.748.059.6 52.1(52.6) 55.0(55*8)48.6(48.9)56.5 46.252.1 66.5(66.6)53*4(53.6)44.9 55.860.557.3(57^)53*26l.l OCT. 70.8 67.76l.l70.8 62.4(62.9)68.068.5(68.5)62.3(62.2)68.6 59«865.O(64.6)75.6(75-5)66.1(65.8)58.7(58.5) 67.569.768.7(68.5)66.171.2

8 0 SEEP. 780878.071.379.8 70.2(70.4)78.278.0(78.3)74.3(74.0)78.8 71.1 74(75.0)82.5(82.4)76.6(76.5)69.4(69.3) 77.179*677.9(77.7)77.279.0 3. »4 AUG. 83.2 8583.778.385-3 75-5(75.4)83*784.6(84.5)82.0(81.8)84.5 79*081.3(81.5)85.9(86.0)82.9(82.6)76.7(76.4) 82.284.683.4(83.3)8383.O JULY 83.I85.383.979-385.I 76.4(76.4)83.785.I(85.I)82.9(82.8)83.9 80.281.4(81.6)85.3(85O)82.7(82.8)78.O(77.6) 82.284.482.9(83.O)83.582.8 5) O JUNE 79-282,181.177»382.6 74.9:(75.2)80.783.2(82.9)78.7(7880.2 75.4 79.8(79.8)83.9(83.9)79.5(79.6)75.4(74.8) 79ol81.980.1(80.2)79.780.7 MAY 74.073-467-876*0 69.3(69.3)73-175.9(75.6)68*8(68.8)72.7 65.672.0(72.0)80.5(80.4)71-2(71.0)65.4(65<>4) 72.075°773»O(73.3)71.074.9 years. .8 APRo 68.566.565A59*768.7 61.8(62.2)65*667(67.6)59*9(60.1)65«2 56.863.8(63.6)75.6(75.6)63*3(63.2) 56,5(56.3) 64.969-265.9(65*7)62.968.1 50 to MAR. 62.058.357*150.661.2 54.4(55.2)57*558.8(58o8)50.7(50.5)56.6 47.154.8(54.9)69*0(69*1)54.9(54,7)4$.7(47-D 57-562.258.2(58.1)53.661.2 reduced FEB. 57*251.350.644.354.8 49.7(50.5)51,251.8(52.2)43*2(43-1)50*3 39.748.6(48.8)63*6(63*6)48.5(48.4)40.2(40.4) 51.756.152.0(51.9)46.556.I are (1910-1959) JAN,JAN., 48,9 .1) (continued) 53-847.247o439*851.3 (48.5)47c447oO(47o6)39*0(38.9)46.6 35°744.0(45*6)59*9(59»8)45.2 36.6(38-2) 48.352.247.3(4742.853»3 (parenthesis) Means ORDMino 4747464649 20 4827 44 49 46 32 42 38 31 4948 40 4948 Annual RECORDREC( Max. 48 50 50 4750 24 50 28 47 50 50 34 44 41 33 5050 40 50 50 in TEMPERATURE and Numbers Monthly Liberty Longview Luling Carney Memphis shoe NacogdochesBraunfels : TEXAS STATION Llano Lubbock Marathon Marshall Me Mexia MiamiMidland Mission MountPleasant Mule NewPalestine ParisPierce NOTE 1 8 5= D= 7, ANNUAL 59-669.3(69.3)63.O7^3 65c2(65.2) 69-373.9(73.9)67-861.5(61.6)63(63.5) 64.262.4(62.4)60.869.O (6967.I 70.056.4(56.1)71-067.4 64(64,4)65.6(66.0) Dec. 41.050.0(49-6)42.56O.3(60.1)47.6(1*7.6) 53-962.2(62.3)51.844.1 42.9(42.9) 45.244.1(44.1)42.454.9(54.8)49.9 53.437-4(36.8)56.549.744.9(44.7)47.8(48.2) NOV. 48.657.0(57.7) (65.8)53.8(53.8) 60.466.8(67.1)58.550.3(50.3)51.2(51.4) 53-550.8(50.8)49.960.6(61.0)57.5 60.444.6(44.8)62.757.053.O 55.6(55.6)

8 OCT. 61.170.6(70.8)64.75.8(75.7)66.2(66.2) 71.4 75.8(75.9)68.662.5(62.6)65.6(65.5) 66.463.7(63.7)62.071.9(71.9)69.5 72.O57.9(57.6)73.069.O67.O(66.5)68.2(68.6) SEPT. 71.58O0O(80.0)76.382.6(82.9)76.2(76.2) 79.781.9(81.8)79.072.6 76.6(76.7) 77.37^-3(7^3)72.279.7(79.8)79-3 8O.568.9(69.0)80.879.377.7(77.6)78.2(78.9)

8 O o7 AUG. 78c2 (85*5)84.387.1(87.0)83O(83.3) 84.685.O(85-0)84.2 78(78.9)84.9(85.0) 84.281.7(81.7)79.483.8(83-9)85*2 85.476.6(76.0)85.I85.8 85(85.1)85.O(85.6) i* .4) 9 O JULY 79.286.(86 86.8(86.7)83.6(83.6) 84.284.4(84.3)83.979-7(79.8)84(84.9) 84.482.3(82.3)80.283.6(83.5)84.9 85.O77-9(77.2)84.785.885.4(85.2)84.7(85.1) JUNE 76.586.4(86.0)80.885.3(85.3)8O.9(8O.9) 81.883.I(83-0)81.6 78.O(77.7)80.7(80.8) 80.6 79-6(79-6)77.381.4(81.4)80.0 82.973.9(73-M82.482.58I.7(81.5)80.4(81.0) . MAY 67.178.8(78.7)71.081.1*(81,4)73-1(73.1) 75.779*7(79*9)74.869.3(69A)71*9(72.0) 71.4 70.6(70.6)68.772.4(72.5)74.0 77.063.9(63.8)78.474.772.2(71.8)72.3(72.6) years c3 .1 Agj^ 58.770.1(69.9)6276.O(76.2)65-3(65.3) 69.I75.1(74.8)67.461.2(61.2)63.5-(63o5) 63.662(62.1)60.868.8(68.8)66.6 70.655.2(54.9)70.466.964.4(63.9)64.4(64.8) 50 to 06 MAR. 49.861.9(62.1)52.468.9(68.8)56.7(56.7) 62*168.5(68.3)59*952.5(52.9)53.2(53.2) 53*852.4(52.4)51-2 61(61.9)58.4 63.4 0*5.9)63.858.4 5^»5(54.1)55-9(56.3) ,2 reduced IEB.ffEB. 1+3.555°8(56.O)44.663.O(63c2)Ii9o6(50,0) 56.163.8(63-7)53*646c5(46,6)45.4(45o4) 46.545.2(45.2)44.8 56(56.3)51.7 56.939-7(39.3)58.651-6 47.4(47.2)49.2(49.6) are ) (1910-1959) *4 (continued) JANc 39-649.6(50.3)4O«559-2(59.0)45«7(^7) 52.460o9(60.6)50.742o4(44.0)4lcO(41.0) 42o94l»5(M.6)40o653*6(53.5)48.0 52.835*4(35.0)55.347.8 42(1*1.5)45.6(fc5.7) Means OF Miiu 4829 48 27 43 50 32 4531 35 4744 4842 47 4736 48 50 36 31 (pareitiBsis Annual YEARSRECORD Max. 50 32 50 31 50 50 35 493^ 41 5P49 4947 50 50 37 50 50 36 3^ in TEMPERATURE and Falls Numbers Land Point : Grande City Angelo AntonioBenito Marcos TEXASMonthly STATION PlainviewPresidio Rio San San San SanSeminole Seymour Sherman Snyder Spur Sugar Temple Uvalde Vega Victoria WacoWichita Wills NOTE

22 25 ANNUAL 25.6315.02 (15.20.0048.42 33.8922.7612.81(13.05:55-0829.49 16.80 32.2132,5539.86/38.93 29.8527.07 27.0633.7620.46(20.79 DEC. Ic321.45 0.66(0.58)0.T6 2.791.20 0.62(0.62)5.592.23 0.842.40 2.253.00 3.97 2.051.70 1.60 3.20O.3O(0,84) NOV. 1.161.44 0.48(0.49)0.773.63 2.261..3^ 0.53(0.61)3.992.00 O.762.191.98 27.53.6l 1.97I.58.. I.832.84 0,84(0.81) OCT. 2.772.751.26(1-35)1.754.23 3.202.661.46(1.36)3*52.54 I.98 3.14 3*2933.93.35 3.153*9 2.652.861,96(1.91) SEPT. 2.182.462.31(2.63)2.10S12 3o532.782.07(2.32)4.613.88 I.78 3.584.1027.42.83 2.025.25 2.82 2.06(2o00) AUG. 1«96 2.36 .2.22(2.59)2.934.73 1.801.741.47(1-59)5.422.06 1.86 2.002.122.322.86 1.88 2.241.781.932.25(2.23) JULY 1.82 2.122.59(2.66)2.395.10 2.061.341.60(1.48)5.652.49 1.68 2.382o26 3.04 2.33 2.24I.78 I.691.512.00(2.00) JUNE 2.502.552.24(2.14)2.66 3.83 2*932.101.34(1*37)4.352.88 1.82 2o712.824.012.96 3.013.132.762.542.98(3.00) MAYMAY 4.264.121.34(1.30)3«O4 4.01 4.313»8l1.35(1-25)5.423.58 2.503.954.245.074.54 4.402.724.174.083.68(3.58) years- 64 c 50 APRoAPRc 2 2.630o52(0.55)1.47 3«23 4.15 O.76(Oc94)4»512.26 1-573.723.3^4.863.70 3»721.47 3.034.14 (2.03) 2.00 to (0.31) 05 1,01 MAR.MARo 1.14 1.36 0.33 0o92 3.25 2.251.12 0.40(0.38)3.542.02 0.812.012.013.072.92 2.1.011.66 2.56 (1.02) reduced 06o FEB.FSB. 1.011.34 0.44(0.48)0.66 3.39 2o451.00O.56(0.58) 4I069 O0652.162.212.732.84 1.681.34 1.532.62 0.84(O.83) are (1910=1959) ) JAN. 0.881.050.63(0.59)0.553*6 2d61.06 O.65(Oo58)4.491.86 0.551.971.932.883«02 1.681*36 1.54 2c540.52(0.54) Means OFIQRD Min» 50 4937 50 46 50 35 50 50 50 5048 50 4950 4948 43 (parastfesis Annual YEARSRECORDREC< Max. 50 50 38 5047 50 50 37 50 50 50 50 50 4950 50 50 50 50 48 in PRECIPITATION and Numbers Monthly Spring TEXAS STATION Abilene AlbanyAlpine AinarilloAngleton AustinBallingerBalmorhea BeaumontBeeville BigBlancoBoerneBonhamBrenham BridgeportBrownsvilleBrownwood CameronCanadian NOTE: -23- 33 36 *58 (21.53) 33.7526,82 38; 33-- 17 (26.26)3.08 ANTOLANMJAL 21.23 22.0122.68" 26.7136.6620o8l 34.3939.65I7o7932.4722.05 20.4326.44 21.19 DEC, 1.03(1.02) I0O70.952.391.44 3-98I.83 3»370.862*69O.49 2.433.56 0.752.301.38 2,100.901.62(1.62)0.481.17 NOVo 0.91(0.96) 0.700*76 2.67l.6l 3ol01.64 2.94O.83 0*51 2.702.690.902.161.24 2.31O.891.71(1.71)O.381.08 OOP, 2.31(2,62) 2.26 3«l4 2o73 Io58 2.963-862o223-061.96 2.631.84 2.85(2.85)0.752.36 2.30 2.902.732.952.633*04' 00) 70 o 088 SEPT. 2.85(3". 2.532.65 2 2.88 2.454.71 2.652.43 21*40 2.564.082.432.392.68 2.90 2.652.24(2.24)1.08 3.05 .03 AUG. 2*15(1.95) 2.002.502.162.11 2.50 2 2.312.372.482.68 2.213-771.492.241.53 1-88 2.101.86(1.86)1.451.64 82 .88 O JULY 1*64 (1.71) 1.82 2.281.872.00 2o44 11.97 2«l82.802.44 1.71 3o671.401.92 1 1.931.881.84 (1.84)1.47I.52 .14 JUKE (2*46) 2.812.883.072.69 3.04 2.622.862.493-152.46 3.263*212.16 32.51 2.802.542.70(2.70)O068 2.23 MAY 3.28(3.14) 3-64 3.994.704.35 4.94 4.703.094.342,92 5.013*752.544.893.20 5*073o264.19(4.19)O.363»O3 . ■ years APR. 1.71(1-65) 2.392,034.012o97 3.^61.914*53Io732.78I.58 4*2.03o081.49 3.962.00 3«751.80 2.92(2.92)0.281.52 50 to 82 MA£o_ 0,78 O 0*90(1.10) 1.181.032.491.34 2.96i.4o 3.03 2.150.77 2 2.770.872.291=33 2.01O.831.70(1.56)0.341.21 ggB«_ o6l reduced (1910-1959) o»95(1.00) O.950.702.351.29 3.141.34 2.730c7l2o340.39 2.22 20o82 2.171.31 1.99 O.871.4l(1.41)0.401.22 are 37 95 = O (continued) JANo 0.96(0.92) 0.66 O0612.201.41 3.02 12.620.712al6O«36 2.312.600.72 11.09 1.78 O0871.40(1*36)0.411...16 OF (pareofttesis) Means Min. 38 464646 50 4850 50 50 50 50 46 50 4946 49 46 50 44 5047 Annual. YEARSRECORD Max. 38 47494750 4950 50 5050 50 4750 504750 4950 49 5049 in PRECIPITATION and Sta. Pass Numbers Monthly Springs College Crosbyton Danevang Rio Dilley Eagle Paso TEXAS STATION Carrizo ChilcLressClarendonCleburneColeman Corsicana CueroDalhart Dallas DelDenton Dublin Eastland ElEncinal NOTE: =24 ANNUALANNUAL 23.7035-88 13.6531.83 43.0227.0412.25(11.14)39.8526.16(25.93) 23.2328.0435.8628.3844.82 45.2825.0430.2217.2929.76 DECo 1-39 2.96 0.540.682.11 4.041.52 0.64(0-55)3.H1.38(1-38) 1.151.64 2.961.74 4.82 4.371.22 2.050.752.23 NOVc 1.26 0.500.642.18 3.38I.61 O.56(0.52)3.061-53(1.65) 1.251.74 2.791.59 3.66 4.191.421.77 0.752.33 OCT. 2.143-001.351.33 2o70 3.702.731.44(1.26)3»O92.68(2.70) 2.543.082.782.623.52 3.332.533.052.202.63 SEPT. 3.232.122.072.54 5>22 2.66I088(1.56)2.744.92(4.85) 2.292.522.993.183.71 2.793-123.862.26 3.16 AUG. 2.102o46 2.791.61 2.25 4.021*95Io30(1.26)2o4l2.56(2c4l) 2.022.07Ic952.083.55 2.681.972.001.821.86 JULY 1.69 2.482.621.421.82 4.161.911.05(1.01)3.052.09(1*96) 1.94 2.191.94 2.004.59 3492.052.062.011.70 JUNE 2.80 3.181.731.47 3.09 3.293*221.20(1.13)3.592.66(2.65) 2.98 3.273.262.973.71 3.9$2.833.032.082.68 (1.61) as MAX 2.894.481.381.78 4.71 3.384.011*73 5.103.11(3.17) 3.674.094.584.064.63 if.3.514.022.164.06 years. 088 50 APR. 3-80 0.580.944.02 3.02 2.91O.87(0.75)4.83Io35(1.35) 2.964.843.033.59 42.483.051.33 3.49 1.78 2.40 to MAR. 1.02 2.450.300.46 2.35 2.681.69 0.51(0.46)3.241.15(1.15) 1.031*77 2.761.79 2.72 3.541.531.97 0,701.95 reduced (1910-1959) FEB. 1.08 2.660.460.6l2.08 2.581.46 Oo59(0.52)2.811.27(1.20) 1.101.50 2.541*70 2.80 3.711.18 1.770.661.99 are (continued) JAN. 1.30 2.430*540.641.98 3.501.370c48 2.821.46(1.46) 0.861.21 2.471.60 3.52 3«6o1.201.59 0.571.68 OF (parerflbiesis) Means Min. 4949454950 504935 50 4l 48494?4950 4949494949 Annual YEARSRECORD Max. 50 50 4750 50 50 5040 50 43 50 50 495050 50 50 50 50 50 in PRECIPITATION and DavisStockton Worth Numbers TEXASMonthly STATION FalfurriasFlatonia Fort FortFort GalvestonGrahamGrandfalls GreenvilleHarlingen HaskellHenriettaHills"boro HondoHouston Huntsville JunctionKerrvilleLamesaLampasas NOTE? 25 ANNUAL 19.0751.3126.8643.9518.46 45.8233.0114.83(16.60)45.9013.28(14.00) 20.9736.9422.3414.13(14.97)19.68(19.09) 43.80(43.53)17.77(18.19)46.8231.76 39.31 DEC. 1.06 5.471.66 4.250.66 4,66 2.620*57(O.56)4.76O.69(0.82) O.763.300.88 0.62(0.59)l.ll(1.14) 3.81(3.81)0.54(0.57)5.002.373-99 16 NOV. 1.15 4.1.90 3.80 0.57 2.460.54(O.63)4.100.53(0-57) 0.603.130.92O.52(0.53)l.ll(1.10) 3.89(3.56)0.60(0.6l)4.361.97 3.71 OCT. 2.06 3.962.61+3.162.21 a.ea 2.87Ic29(1.23)3.001.36(1.38) 2.322.992.061.64(JL-73)2.08(2.01) 3.47(3.35)1.58(1.66)3.013.373.02 SEPT. 2.943*78 2.212.52 3.112.16(2.82)2.451.39(1.68) 2.432.922.461.79(2.15)3.37(3.21) 2.64(2.97)2.33(2.45)2.833.192.76 AUGo ic50 4.211.82 2.841.84 as??1-931.92(2.25)2.881.72(2.02) 2.052.022.711.48(1.48)1.34(1.28) 2.73(3.28)2.08(2.22)2.541.91 2.35

31= 56) JULY 14.581.61 3.342.01 3-62 2.472.26(3.13)3.291.40(1.33) 2.102.002.431.77(1.61)1*55 (a. 3.12(3.20)2.33(2.55)3.482.00 2.47 JUNE 1.954.402.46 2.49 2.941.68(1.53)3.191.61(1*54) 2.692*983.031.70(1.95)2.11(2.06) 2.97(2.87)2.57(2.72)3-253=14 2.86 . MAY 3.035.063-904.942.80 4.984.201.82(1.80)4.632.10(1.88) 3.834.753.612.10(1.95)2.32(2.24) (4.79)2.72(2.47)5.423.88 4.55 years 07 50 APR. 1.38 4.242.994.961.36 4v393.72 1(1*03)5.13O.71(1.09) 4.311.82 0.85(1.22)1.43(1.41) (5.00)1.16(1.28)4.913.32 4.03 1.90 to MAR. 0.753-41l.6l3-940.81 3-91 2.220.52(0.48)4.360.53(0.54) O.983.001.08 0.37(0.42)1.01(0.97) 4.03(3.85)O.67(O.67)3.992.293.47 reduced (1910-1959) FEB. 0.893.631.70 3-550o64 3-73 2.340.55(0.58)3*73O.52(0.59) O.692.76 O.74 0.60(O.63)0.98(0.94) 3-13(3.01)0.42(0.51)3,882.21 2.93 are (continued) JAN. I0O54.411.453.920.55 4.332.130.45(0.56) O.72(0-55) 0.622.780.600.79(0.71)1.27(1.17) 4.04(3.84)0.77(0.46)4.152.113-17 OF (parenthesis) Means Min. 5049494849 46 50 20 50 27 455Q4929 43 39 38 5049 50 50 50 50 5049 48 50 23 50 28 50 50 50 30 45 41. 39 50 50 50 in Annual YEARSRECORD Max. i and ... Numbers PRECIPITATION : Monthly Liberty Longview Luiing Carney Memphis shoe NacogdochesBraunfels TEXAS STATION Laredo Llano Lubbock Lu£kin Marathon Marshall Me MexiaMiamiMidland Mission MountPleasant Mule NewPalestine NOTE

26 9480) 19 ..89) 20,02 '8,45(8.56) 0 o 081 «89 ANNUAL (20.72)44olO40.5020o37 24o40 l6(l6 20.0427.2027.00(25-87) lie(11.96)33*2315(1524.88(24.58)38.56 20.0420.6743.0134.11 23 DEC. 0.64(0.83)3»34 3-71O0800.44 1.18 0.75(0.74)1,071.751.6l(1.60) 0.47(0=49)2.590.59(0.55)1.40(1.25)2.72 0.860.894.34 2.831.24 .NOV. 0*66(O.65)3*443.320.69O»35(0.41) 1.06 0.97(0.95)1.141.621*39(1.32) 0.39(0.48)2.08O.56(0.59)1.33(1.27)2.51 0.930.873.81 2.841.06 OCT. 1.81(1*95)3.203.631.95O.96(0.92) 2.76Io70(1.75)2,18 2.6l3.06(2.86) 1*26(1.30)3.421.90(1.98)2.54(2.52)3.48 2.302.423*74 3.O32.44 40 SEPT, o 2,85 2,08 1-73(2.11)3.203.952o28 l(1-39) 2*752.92(2.79) 3»24 5.19(5.00) 2.01(2.21)3.45 (i.98)2.64(2.59)2.78 2.172.6l3.56 2.962.82 AUG. 2A5(2.55)3-033*302o391.19(1.25) 2.201.30(1.29)I.761.97 2*67(2.55) 1.17(1.33)1*891.93(2.14)1.98(1.93)2.90 2.082.393.432.092.01 JULY 2.48(2.41)3»34 3.682.581.30(1.46) 1.94 1.34(1.27)1.57I.891.74(1-73) 0.95(0,90)2.141.82(1.66)2.16(2.09)2,88 2.002.043.721.73 2.13 JUNE 2.87(3-03)4,013.382.750*93(0.87) 3»18 1,98(2.18)1.-90 2.843^28(3-10) 1.14(1.31)3.051.63(1.72)2.96(3.06)3.64 2.262.473»15 2.802.98 . MAY 3*77(3.43)5.274.243o040.77(O.69) 3.62 2.32(2,20)2.873-313*02(2.92) 1.87(1-75)3,84 2«45(2.22)3*81"(3.74)5.04 3.263«O4 4.474.663.26 years APR. 1.46(1.61) 2,861*74 0*34(0,38) 2.781.11(1*15)2*053.031*35(1.24) 0.70(0.80)3.601.09(1.37) (2.59)4.62 1-991.86 3,534.212.22 50 2.40 to MAR, O.85(0.91)3.6l2.760.820.14(0.15) 1.330.82(0.82)0,851.791.02(1.05) 0.26(0.25)2.500.6l(0.59)1.39(1.37)2*82 0.880.82 2.752.381.31 reduced (1910-1959) FEB., O.78(0.79)3*00.2*730,680.21(0/22) 0»91 0*81(0.78)0.90.1.611*37(1.26). 0.40(0,36)2.58o»6o(0.63)1.28(1.17)2,79 a.710.70 3.01 2.4l1.24 are (continued) 10 JAN. 0.52(Oo45) 3. 2,94 0,650.42 O»690«92(0,88)0.901.541-30(1*24) 0*57(0.78)2.090.55(0,46)0.99(1*00)2o38 0.60 0,56 3*50 2.171.18 Means OF Min., (parQifckesis) 31 50 5931 4944 48 50 36 28 48 33 39= 49 464748 4849 Annual YEARSRECORD Max. 34 50 50 32 5048 50 5040 32 50 35 43 50 5048 50 50 50 in PRECIPITATION and Land Numbers Grande CityAngeloAntonioBenito Marcos TEXASMonthly STATION Pampa ParisPiereePlainviewPresidio Quanah Rio San San San Sanderson SanSeminole Seymour Sherman Snyder Spur Sugar TempleUvalde NOTE: 27 06) ANNUAL 17.29 (IT- 34*3432.44 26.24(25o97)40.44(39-B8) DEC. 0.74(0.76)2.682.681.40(1.36)3.23(3^2) , NOV. 0.74(0.70)2.252.491.40(1.^3)3.64(3.te) OCT. 1.49(1.^) 2.582.82(2.7*0 (3-W) 082 SEPT. 1.66(1.66) 2 2.37(2,21)2A8(2.86) AUG. 2.58(2.66)2.761.88 (2.38)2.79(2.55) JULY 2.16(2.22)3.231.76 2.13(2.10)2.48(2.35) JUNE 2.24(2.03)2.962.823.34(3-22)3.28(3.05) MAY (2.49)4.03 4.36(3.96) (W55) years. APR. 1.25(1.30)2.633.94 2.51(2,85) (4.88) 50 to MAR. 0.90(0.82)2.342.741.58(l.te)3.21(3.15) reduced (1910-1959) FEB. 0.46(0.49)2.052.351.32(1.27)2.82(2.87) are (continued) JAN. 0.53(0.49)2.202.04Iol7(1.03)2.79(3.32) OF (parentM^ii^ Means Min« 4l 50 50 36 32 42 5050 36 34 in Annual YEARSRECORD Max. 1 PRECIPITATION and Falls Point Numbers TEXASMonthly STATION Vega VictoriaWacoWichita Wills NOTE: -28- Types of annual rainfall (For their geographical distribution see the following map)

29 GeographicalGeographical distribution of rainfall types (For the meaning of the letters see the diagram of the previous page)

Circles denote the positions of the stations whose data can be found in the tables, pp. 18 - 28. ■ Crosses denote the positions of stations whose series of observations are not long enough to be included in the tables « They were consulted in the production of the charts.

30 ProbabilityProbability thatthat for aa station withwith the mean monthly rainfall of thethe vertical scale thethe rainfall of an individualindividual year will exceed the amount given by the horizontal scale Unit: inches

31 Probability thatthat for a station with thethe mean monthly rainfall of the vertical scale, the rainfall of an individualindividual month will exceed the amount given by the horizontal scale Uniti inches.

32 LinesLines of greatest observed amount of precipitation fallenfallen in one individual monthmonth (Extreme monthly rainfall is mostly the result of one severe rainstorm during only a few days of the month.) Unit ; inches

33 Mean Temperature January February March April May June July August September October November December Mean Temperature Annual Warmest Month Highest Monthly Mean Temperature Of The Period 1910-1959 Coldest Month Lowest Monthly Mean Temperature Of The Period 1910-1959 Mean Precipitation January February March April May June July August September October November December Mean Precipitation Annual