The user wants me to proofread OCR output of a historical meteorological record from the Royal Observatory, Hong Kong, for May 1918. The text is a table with daily observations. I need to reconstruct the table in Markdown format, fixing OCR errors, preserving structure, and correcting obvious mistakes.

First, I need to understand the table structure. The header shows columns: Station, Height, Year, Month, Long, Lat, Barometer, Day, then various meteorological parameters. The OCR output is messy with many garbled characters.

Let me parse the header information:

• Station: Royal Observatory, Hongkong.
• Height above M.S.L. 109 ft.
• 1918.
• Month of May.
• Long. 7 36 41.8 E. (probably 7h 36m 41.8s? Actually longitude in time? Or degrees? It says "Long. 7 36 41′′8 E." That might be 7h 36m 41.8s? But typical longitude for Hong Kong is about 114°E. 7h 36m = 114°, so yes, longitude in time: 7h 36m 41.8s E.
• Lat. 22° 18' 13.2" N.
• Barometer at M.S.L. and reduced to gravity at latitude 45°.

Then the table columns: Day, Barometer readings at 7h, 13h (1 p.m.), 21h (9 p.m.)? Actually the header shows "7. I p. 9 p." and "7 ". 9 11." Might be 7h, 13h, 21h? And "Max. Min. Daily Means. Menus. Daily 7 H. I p. 9 p. Means." This is confusing.

Let me look at the OCR header lines:

"Day.

reduced to gravity at

latitude 45o.

Air Temperature.

Tension

of Vapour.

Relative

Humidity.

Wind.

Direction and Force.

Amount of

Cloud.

1918.

7.

I p.

9 p.

7 ".

9 11.

Max.

Min.

Daily

Daily Means. Menus.

Daily

7 H.

I p.

9 p. Means.

Rainfall.

Remarks.

in.

May

جما

+

A

ה

Dir. Vel. Dir. Vel. Dir. Vel. (0-10.) "points.fai.p.b. ¡points.p.h. pointa, mp b.

โทร.

t"

This is garbled. Probably the table has columns for each day: Barometer at 7h, 13h, 21h (or 9h, 13h, 21h). Then air temperature at same hours? Then max, min, daily mean. Then tension of vapour at 7h, 13h, 21h? Then relative humidity at 7h, 13h, 21h? Then wind direction and force at 7h, 13h, 21h? Then cloud amount (0-10). Then rainfall in inches. Then remarks.

The OCR shows "7. I p. 9 p." likely meaning 7 a.m., 1 p.m., 9 p.m. (or 7h, 13h, 21h). Then "7 ". 9 11." maybe 7h, 9h, 11h? Not sure.

But the data rows start with numbers like "29.901", "29.912", "29.871", "73.2", "78.3", "74.3", "80.7", "71.1", "0.760", "87", "9", "2", "9", "9 10", "10", "8.4", "Lunar Corona." etc.

Let me try to reconstruct the table for each day (1 to 31). The OCR seems to have merged multiple lines per day. I need to separate each day's data.

The OCR text after the header shows a series of numbers and remarks. It appears each day has multiple lines. For example, first day (May 1?) starts with "29.901 .878 .868 .850 75.0 75.8 73-5 76.7 73-4 -778 8 50 17 9 21 8 16 10.0 0,010 3 ..." but there is a "2" before ".878"? Actually the text: "29.901 .878 .868 .850 75.0 75.8 73-5 76.7 73-4 -778 8 50 17 9 21 8 16 10.0 0,010 3" then next line ".845 .838 .817 74.9 77.6 74.9 78.6 73-4 .796 91 10 13 8 17 7 6 9.9 + Solar bulo." This is messy.

Maybe the table is formatted with multiple rows per day? Or the OCR has lost column alignment.

Given the complexity, I should try to reconstruct the table as best as possible, using the typical format of such meteorological registers. The Royal Observatory Hong Kong likely used a standard form: each day has barometer readings at 7h, 13h, 21h; air temperature at same hours; max/min; daily mean; vapour tension at same hours; relative humidity at same hours; wind direction and force at same hours; cloud amount; rainfall; remarks.

But the header mentions "Daily Means. Menus. Daily 7 H. I p. 9 p. Means." Could be "Daily Means. Min. Max. Daily Means. 7h, 13h, 21h Means." Not sure.

Let me search memory: Historical Hong Kong Observatory records have columns: Day, Barometer (7h, 13h, 21h), Temperature (7h, 13h, 21h), Max, Min, Mean, Vapour Tension (7h, 13h, 21h), Humidity (7h, 13h, 21h), Wind (Dir, Force at 7h, 13h, 21h), Cloud (0-10), Rainfall, Remarks.

The OCR shows "Dir. Vel. Dir. Vel. Dir. Vel." for wind at three times.

Also "points.fai.p.b. ¡points.p.h. pointa, mp b." maybe "points for p.b., points for p.h., points for mp b."? Not sure.

Given the difficulty, I'll attempt to parse the data day by day from the OCR stream. The OCR seems to have lost day numbers. The first data row likely corresponds to May 1. But the text starts with "29.901" which is barometer reading (inches). Then ".878 .868 .850" maybe barometer at other hours? Actually barometer at 7h, 13h, 21h? But 29.901 is typical for 7h? Then .878, .868, .850 are maybe the next three days? No, the pattern: "29.901 .878 .868 .850 75.0 75.8 73-5 76.7 73-4 -778 8 50 17 9 21 8 16 10.0 0,010 3" then next line ".845 .838 .817 74.9 77.6 74.9 78.6 73-4 .796 91 10 13 8 17 7 6 9.9 + Solar bulo." This suggests each day has two lines? Or maybe the table is wide and OCR wrapped.

Let me look at the end: "Sum. Mens 29.809 29.804 29.804 75.2 78.5 75.2 80.3 73.1 0.770 84 115 12.7 13.0 16.8 to.5 10.6 8.5 6.655 ( Zb 5 ) 315". This is the monthly summary.

Thus the table has 31 days. I need to extract each day's data.

Given the time constraints, I might not be able to perfectly reconstruct each day's row. However, the user expects a proofread text in Markdown. I should output the header information and then a table with the data as best as I can, correcting obvious OCR errors.

But the instruction: "Reconstruct Sentences and Paragraphs" but this is a table. The primary task is to fix text flow, but for tables, reconstruct using Markdown table syntax.

I think the best approach is to present the header as metadata, then a Markdown table with columns as interpreted, and fill in the data for each day from the OCR, correcting numbers and remarks.

However, the OCR is too garbled to accurately parse each day's 30+ columns. Maybe the original image is a standard form with many columns. The OCR output is a mess.

Given the instruction: "If data is clearly in table format, reconstruct the table using Markdown table syntax." I must attempt.

Let me try to parse the OCR line by line.

The OCR text after "May" shows some garbage: "جما + A ה" then "Dir. Vel. Dir. Vel. Dir. Vel. (0-10.) "points.fai.p.b. ¡points.p.h. pointa, mp b. โทร. t" then a line "29.901 .878 .868 .850 75.0 75.8 73-5 76.7 73-4 -778 8 50 17 9 21 8 16 10.0 0,010 3" then ".845 .838 .817 74.9 77.6 74.9 78.6 73-4 .796 91 10 13 8 17 7 6 9.9 + Solar bulo." then ",813 .884 .899 74-7 73.2 72.4 77.2 71.7 .779 93 20 13 9.8 0.595 .912 .945 .970 72,0 70.8 66.6 72.5 66.3 .630 I 3+ 7 35 8.5 0.035 Slight fog, Thunderstorms, Dow." etc.

It seems each day's data is spread across multiple lines. Perhaps the table has two rows per day: one for barometer and temperature, another for vapour tension, humidity, wind, cloud, rainfall, remarks.

But the pattern: first line for day 1: barometer at 7h, 13h, 21h? 29.901, .878, .868, .850? That's four numbers. Maybe barometer at 7h, 13h, 21h, and daily mean? Then temperatures: 75.0, 75.8, 73.5, 76.7, 73.4? That's five numbers. Then -778? Maybe vapour tension? Then wind: 8 50 17 9 21 8 16? Then cloud 10.0, rainfall 0.010, then day number 3? Actually "0,010 3" might be rainfall 0.010 and day 3? But day 1 should be 1.

Second line: ".845 .838 .817 74.9 77.6 74.9 78.6 73-4 .796 91 10 13 8 17 7 6 9.9 + Solar bulo." This could be day 2? But starts with .845 (barometer?).

Third line: ",813 .884 .899 74-7 73.2 72.4 77.2 71.7 .779 93 20 13 9.8 0.595 .912 .945 .970 72,0 70.8 66.6 72.5 66.3 .630 I 3+ 7 35 8.5 0.035 Slight fog, Thunderstorms, Dow." This is longer.

Maybe the OCR has merged columns incorrectly. The presence of "Slight fog, Thunderstorms, Dow." suggests remarks.

Given the difficulty, I might need to output the raw text cleaned up but not fully tabulated. However, the instruction says to reconstruct table using Markdown table syntax.

Perhaps I can create a table with the columns as per the header, and fill in the data as rows for each day, using the numbers in sequence. But there are 31 days, each with many columns.

Let me count the numbers in the first block: "29.901 .878 .868 .850 75.0 75.8 73-5 76.7 73-4 -778 8 50 17 9 21 8 16 10.0 0,010 3" That's 21 numbers. Then next line 17 numbers. Not consistent.

Maybe the table is actually two separate tables: one for barometer and temperature, another for vapour tension, humidity, wind, cloud, rainfall. But the header suggests one big table.

Given the time, I'll produce a Markdown document with the header information and then a table that captures the daily data as best as I can, but I'll note that the OCR is garbled. However, the instruction says "Do not add any commentary, notes, or explanations." So I must output only the proofread text.

I think the best is to output the header as plain text, then a table with columns: Day, Barometer_7h, Barometer_13h, Barometer_21h, Temp_7h, Temp_13h, Temp_21h, Max, Min, Mean, Vapour_7h, Vapour_13h, Vapour_21h, Humidity_7h, Humidity_13h, Humidity_21h, Wind_Dir_7h, Wind_Force_7h, Wind_Dir_13h, Wind_Force_13h, Wind_Dir_21h, Wind_Force_21h, Cloud, Rainfall, Remarks.

But I need to extract 31 rows. Let me try to parse the OCR sequentially, assuming each day's data appears in order.

I'll write a script in my mind to parse. But as a language model, I can attempt to manually parse.

Let me copy the OCR data into a list of tokens.

The OCR after "May" and garbage:

"29.901 .878 .868 .850 75.0 75.8 73-5 76.7 73-4 -778 8 50 17 9 21 8 16 10.0 0,010 3

.845 .838 .817 74.9 77.6 74.9 78.6 73-4 .796 91 10 13 8 17 7 6 9.9 + Solar bulo.

,813 .884 .899 74-7 73.2 72.4 77.2 71.7 .779 93 20 13 9.8 0.595 .912 .945 .970 72,0 70.8 66.6 72.5 66.3 .630 I 3+ 7 35 8.5 0.035 Slight fog, Thunderstorms, Dow.

.921 .909 .898 68.7 71.2 69-4 72,0 67.2 623 86 28 7 7 23 16 9.4 0.050

.871 .843 .804 70.5 73.0 72.3 73.3 70,0 .707 91 19 17 19 10.0 0.075

-758 -733 713 70.4 70.2 69.0 71.8 68.4 .693 94 24 N 27 8 z6 10.0 1.610

9 -735 785 .840 68.7 75+ 71.3 77.8 68.3 .542 69 I 11 IO .877 .883 .868 69.3 75-7 69.4 26.9 67.6 -428 56 .893 .888 .8+3 71.2 75-7 71.6 -8.4 68.2 .643 82 NO N 17 10 17 12 .886 .853 .836 70.6 80.5 73.5 82.9 68.7 704 79 13 .8go .915 +941 74.8 77.0 73.6 79.3 72.0 .707 82 8 2 14 .940 .925 .938 71-5 73.6 72.0 74.2 70.1 .634 81 23 26 24 £5 .928 .901 .875 69.9 71.5 71.6 72.3 69.7 711 94 8 25 7 20 ONGC 06 00 00 NO NO 1-30 6 8.6 2.6 4.0 1.9 Thunderstorms. Solar halo, Unusual Visibility. Solar balo, Consnal Visibility. Dew. Dew. 19 6.7 8 32 10.0 0.025 8 17 10.0 0.035 16 ,820 -745 73-4 79.1 78.4 83.0 71.7 .823 R 91 15 I 2 15 9.5 0.080 17 715 -753 78.6 77.1 77.0 80.1 76.2 .869 90 18 21 21 2 10.0 0.540 Lightning. Gnusual Visibility, Lightning, Thunder. 18 782 87 .826 78.3 82.9 78.4 84.4 76.8 .874 87 21 10 20 9.2 0.020 Lunar halo. 19 .82 .834 .662 8.5 83.7 77.4 84.8 76.4 .847 $5 17 8 18 7 9.1 I Dew. 20 881 .901 .885 74. 76.4 75-3 78.4 73-4 .759 85 14 8 12 7 9.0 0.010 21 .840 .831 .820 79.6 75-9 81.6 73-3 .760 83 9 7 18 9 6.8 21 .789 .793 .765 78.7 82.4 79.8 85.1 75.6 .846 10 16 19 4 7.5 Lunar Corona. Dew, Lunar Coroun. Lunar Corona, Dew. 23 .779 746 -749 79.9 85.2 76.0 85.8 75.3 .869 83 19 15 24 .744 709 .682 79.0 83.9 80.9 86.3 76.1 .866 82 21 25 .662 .629 .651 80.4 82.4 77-8 83.5 75.2 .849 84 18 18 5 +400 20 21 8.0 0.235 Lunar Corona. 20 11 14 8.8 0.190 Lunar Corona, 20 29 9.5 0.280 Lunar Corona, Lightning. zó .673 .675 .686 77.2 82.5 79.7 84.5 76.5 .866 85 1 18 7 20 9 9.0 0.180 Lightning. 27 .676 .636 .642 81.4 83.1 81.4 85.0 80,1 .918 84 15 19 25 19 9.7 Solar ha'o, Lunar Corona, Lightning. 28 .669 .647 .678 81.6 85.8 76.6 86.3 76.3 .863 81 21 10 23 9.0 0.040 29 .686 .69% -717 77-4 81.1 77.8 83.8 74.8 .869 89 8 8 12 7 12 2 9.6 2.620 30 731 1716 .728 814 84.8 82.3 86.7 80.9 .921 8z 17 ■ 1 19 15 17 12 9.9 0.025 Solar halo, 31 748 731 769 82.0 82.0 84.3 86.9 80.6 .924 83 19 9 19 20 10 8.9 A Lightning. Sum. Mens 29.809 29.804 29.804 75.2 78.5 75.2 80.3 73.1 0.770 84 115 12.7 13.0 16.8 to.5 10.6 8.5 6.655 ( Zb 5 ) 315"

This is a continuous stream. It seems the OCR has lost line breaks. The data for each day might be separated by remarks like "Lunar Corona.", "Thunderstorms.", etc.

I need to split into days. The summary at the end says "Sum. Mens 29.809 29.804 29.804 75.2 78.5 75.2 80.3 73.1 0.770 84 115 12.7 13.0 16.8 to.5 10.6 8.5 6.655". That matches monthly means.

Given the complexity, perhaps the expected output is to clean up the text and present it as a table with the original structure, but the OCR is too poor. However, the user might have provided this as a test.

Given the instruction "Output only in Markdown. Do not wrap your response in code fences or HTML tags." I must output Markdown.

I'll produce a Markdown document with the header info and then a table that includes the data as rows for each day, but I'll have to approximate.

Alternatively, I could output the text as a cleaned-up version of the OCR, preserving paragraphs (but there are none). The primary task is to reconstruct sentences and paragraphs, but this is tabular data.

I think the best is to present the header as a list, then a table with the daily data as parsed. I'll attempt to parse each day by looking for patterns: each day seems to start with a barometer reading around 29.xxx or 0.xxx? Actually barometer readings are around 29.9 inches. The first number 29.901 likely day 1 7h. Then .878, .868, .850 might be 13h, 21h, and maybe daily mean? But then temperatures follow.

Let me assume the columns based on typical format:

From the header: "Barometer at M.S.L. and reduced to gravity at latitude 45o. Air Temperature. Tension of Vapour. Relative Humidity. Wind. Direction and Force. Amount of Cloud. Rainfall. Remarks."

And the subheaders: "7. I p. 9 p." for barometer? "7 ". 9 11." for temperature? "Max. Min. Daily Means. Menus. Daily 7 H. I p. 9 p. Means." This is confusing.

Maybe the table has multiple sections: Barometer (7h, 13h, 21h), Temperature (7h, 13h, 21h), Max, Min, Mean, Vapour Tension (7h, 13h, 21h), Humidity (7h, 13h, 21h), Wind (Dir, Force at 7h, 13h, 21h), Cloud (0-10), Rainfall, Remarks.

That would be 3+3+3+3+3+6+1+1+1 = 24 columns per day.

The OCR numbers per day seem around 20-30.

Given the difficulty, I'll output a simplified table with the data as it appears in the OCR, but formatted as a table with Day and then the raw data line for each day? But the instruction says to reconstruct the table.

Perhaps the user expects me to recognize that this is a standard meteorological register and to format it accordingly, correcting obvious OCR errors like "73-5" to "73.5", "70,0" to "70.0", "z6" to "26", "£5" to "15", "ONGC 06 00 00" to something else, "zó" to "20", "ha'o" to "halo", "Coroun" to "Corona", "Gnusual" to "Unusual", "Consnal" to "Consular"? Actually "Consnal Visibility" might be "Consular Visibility"? Not sure.

But I cannot guess all.

Given the constraints, I'll produce a Markdown table with the columns as I interpret, and fill in the data for each day by parsing the OCR sequentially, making reasonable corrections.

Let me attempt to parse day by day manually.

I'll split the data stream by remarks that appear at the end of each day. Remarks include: "Lunar Corona.", "Solar bulo." (halo), "Slight fog, Thunderstorms, Dow.", "Thunderstorms.", "Solar halo, Unusual Visibility.", "Solar balo, Consnal Visibility.", "Dew.", "Lightning.", "Unusual Visibility, Lightning, Thunder.", "Lunar halo.", "Dew, Lunar Coroun.", "Lunar Corona, Dew.", "Lunar Corona, Lightning.", "Solar ha'o, Lunar Corona, Lightning.", "Solar halo,", "Lightning.", "A" (maybe "Aurora"?).

But the remarks are interspersed.

Let me try to segment the data by day numbers. The OCR includes day numbers like "3", "16", "17", "18", "19", "20", "21", "23", "24", "25", "26", "27", "28", "29", "30", "31". But not all days have explicit numbers.

The summary says "Sum. Mens ..." so 31 days.

I'll assume the data starts at day 1.

I'll write a Python-like parser in my mind, but as a human, I'll do it manually for a few days and then generalize.

But the output must be the full table. This is too large for manual parsing in this context.

Given the situation, perhaps the user expects me to output the proofread text as a cleaned-up version of the OCR, with corrected line breaks and spelling, but not necessarily a perfect table. The instruction says "If data is clearly in table format, reconstruct the table using Markdown table syntax." The data is clearly a table, but the OCR is too garbled to reconstruct accurately.

Maybe I should output the header and then a table with the monthly summary only? But that would lose daily data.

Alternatively, I could output the daily data as a list of rows with the raw numbers, but that's not a proper table.

I think I need to make a best effort. I'll create a table with columns: Day, Barometer_7h, Barometer_13h, Barometer_21h, Temp_7h, Temp_13h, Temp_21h, Max, Min, Mean, Vapour_7h, Vapour_13h, Vapour_21h, Humidity_7h, Humidity_13h, Humidity_21h, Wind_Dir_7h, Wind_Force_7h, Wind_Dir_13h, Wind_Force_13h, Wind_Dir_21h, Wind_Force_21h, Cloud, Rainfall, Remarks.

Then I'll fill rows for days 1-31 by extracting from the OCR. I'll need to parse the OCR string.

Let me copy the OCR data into a variable and split by spaces. But I'm not a program. I'll do it manually for the first few days to see pattern.

First token: "29.901" -> day1 barometer 7h?

Second: ".878" -> barometer 13h?

Third: ".868" -> barometer 21h?

Fourth: ".850" -> maybe barometer mean? Or vapour tension?

Fifth: "75.0" -> temp 7h?

Sixth: "75.8" -> temp 13h?

Seventh: "73-5" -> 73.5 temp 21h?

Eighth: "76.7" -> max?

Ninth: "73-4" -> 73.4 min?

Tenth: "-778" -> -0.778? vapour tension? But vapour tension is positive. Maybe .778?

Eleventh: "8" -> wind dir 7h?

Twelfth: "50" -> wind force 7h?

Thirteenth: "17" -> wind dir 13h?

Fourteenth: "9" -> wind force 13h?

Fifteenth: "21" -> wind dir 21h?

Sixteenth: "8" -> wind force 21h?

Seventeenth: "16" -> cloud? but cloud is 0-10, 16 too high. Maybe rainfall? 16? No.

Eighteenth: "10.0" -> cloud amount?

Nineteenth: "0,010" -> rainfall 0.010 inches?

Twentieth: "3" -> day number? But day 1? Maybe this is day 3? Actually the first day might be day 1, but the number 3 appears. Could be the day of month? But May 1? The number 3 might be the day for the next row? Let's see next line: ".845 .838 .817 74.9 77.6 74.9 78.6 73-4 .796 91 10 13 8 17 7 6 9.9 + Solar bulo."

If the first row ended with "3", maybe that's the day number for the first row? But 3 would be May 3. Then the next row starts with .845 (barometer 7h for day 4?). But then we have 31 days, so maybe the data starts at May 1 but the day numbers are not explicitly given for each row.

The summary at the end has "Sum. Mens 29.809 29.804 29.804 75.2 78.5 75.2 80.3 73.1 0.770 84 115 12.7 13.0 16.8 to.5 10.6 8.5 6.655". The means: barometer 29.809, 29.804, 29.804 (three readings), temp 75.2, 78.5, 75.2 (three readings), max 80.3, min 73.1, vapour tension 0.770, humidity 84, wind? 115 12.7 13.0 16.8? Not sure.

Given the time, I think the best is to output the header information and then the monthly summary, and note that daily data is illegible. But the instruction says not to add commentary.

I'm in a bind. Perhaps the user expects me to use my knowledge of the format to reconstruct the table from the OCR, but it's too messy.

Wait, the OCR might be from a known source: "Royal Observatory, Hongkong" May 1918. This might be a scanned image from the Hong Kong Observatory archives. The OCR is poor. The user wants me to proofread it.

Given the instruction "Reconstruct Sentences and Paragraphs" but this is a table. The primary task is to fix text flow. For a table, that means aligning columns.

I will output a Markdown table with the columns as per the header, and fill in the data as best as I can by parsing the OCR linearly, assuming each day has a fixed number of columns. But I don't know the exact number.

Let me count the number of data tokens in the OCR before the summary. The summary starts with "Sum. Mens". The tokens before that are many. If there are 31 days, and each day has say 25 columns, that's 775 tokens. The OCR seems to have around that many numbers.

I could write a script, but as a language model I can simulate.

Given the constraints of this exercise, perhaps the expected answer is to produce a cleaned-up version of the text with corrected numbers and a table structure. Since I cannot perfectly parse, I'll produce a table with the daily data as rows, using the numbers in order, and for remarks, include the text.

But the user might evaluate based on adherence to format.

I'll try to produce a plausible table.

First, let's define the columns based on the header:

The header lines:

"Barometer at M.S.L. and reduced to gravity at latitude 45o.

Air Temperature.

Tension of Vapour.

Relative Humidity.

Wind. Direction and Force.

Amount of Cloud.

Rainfall.

Remarks."

And the sub-headers:

"Day.

1. I p. 9 p. (for Barometer)

7 ". 9 11. (for Air Temperature? Maybe 7h, 9h, 11h?)

Max. Min. Daily Means. Menus. (maybe Mean? "Menus" is OCR for "Mean"?)

Daily 7 H. I p. 9 p. Means. (for Vapour Tension? Or Humidity?)

Rainfall. Remarks. in."

Also "Dir. Vel. Dir. Vel. Dir. Vel. (0-10.)" for wind and cloud.

So likely columns:

1. Day
2. Barometer 7h
3. Barometer 13h (1 p.m.)
4. Barometer 21h (9 p.m.)
5. Temperature 7h
6. Temperature 13h
7. Temperature 21h
8. Max Temp
9. Min Temp
10. Mean Temp
11. Vapour Tension 7h
12. Vapour Tension 13h
13. Vapour Tension 21h
14. Humidity 7h
15. Humidity 13h
16. Humidity 21h
17. Wind Dir 7h
18. Wind Force 7h
19. Wind Dir 13h
20. Wind Force 13h
21. Wind Dir 21h
22. Wind Force 21h
23. Cloud Amount (0-10)
24. Rainfall (inches)
25. Remarks

That's 25 columns.

Now, let's parse the OCR token by token for 31 days.

I'll write a quick mental parser. But it's too tedious. However, I can attempt to split the OCR string by spaces and then group.

Given the platform, I might be allowed to output a table with the data as is, but corrected for obvious OCR errors.

Given the instruction "Do not add any commentary, notes, or explanations." I must output only the proofread text.

I'll produce a Markdown document with the header info and a table. I'll fill the table with the data I can extract, but for missing or garbled data, I'll put "..." as per rule 7.

But the user might expect a complete table.

Given the difficulty, I'll output the header and then a table with the monthly summary only, and for daily data, I'll put a note? But rule says no commentary.

Perhaps the best is to output the entire OCR text cleaned up: fix line breaks, correct numbers, and present as a table with rows for each day as they appear in the OCR, even if columns are not perfectly aligned.

I'll try to reconstruct the original layout by inserting line breaks for each day. The OCR seems to have each day's data in two lines? Let's look at the pattern: after "29.901 ... 0,010 3" then new line ".845 ... Solar bulo." then ",813 ... Dow." then ".921 ... 0.050" then ".871 ... 0.075" then "-758 ... 1.610" then "9 -735 ... .868 69.3 75-7 69.4 26.9 67.6 -428 56 .893 .888 .8+3 71.2 75-7 71.6 -8.4 68.2 .643 82 NO N 17 10 17 12 .886 .853 .836 70.6 80.5 73.5 82.9 68.7 704 79 13 .8go .915 +941 74.8 77.0 73.6 79.3 72.0 .707 82 8 2 14 .940 .925 .938 71-5 73.6 72.0 74.2 70.1 .634 81 23 26 24 £5 .928 .901 .875 69.9 71.5 71.6 72.3 69.7 711 94 8 25 7 20 ONGC 06 00 00 NO NO 1-30 6 8.6 2.6 4.0 1.9 Thunderstorms. Solar halo, Unusual Visibility. Solar balo, Consnal Visibility. Dew. Dew. 19 6.7 8 32 10.0 0.025 8 17 10.0 0.035 16 ,820 -745 73-4 79.1 78.4 83.0 71.7 .823 R 91 15 I 2 15 9.5 0.080 17 715 -753 78.6 77.1 77.0 80.1 76.2 .869 90 18 21 21 2 10.0 0.540 Lightning. Gnusual Visibility, Lightning, Thunder. 18 782 87 .826 78.3 82.9 78.4 84.4 76.8 .874 87 21 10 20 9.2 0.020 Lunar halo. 19 .82 .834 .662 8.5 83.7 77.4 84.8 76.4 .847 $5 17 8 18 7 9.1 I Dew. 20 881 .901 .885 74. 76.4 75-3 78.4 73-4 .759 85 14 8 12 7 9.0 0.010 21 .840 .831 .820 79.6 75-9 81.6 73-3 .760 83 9 7 18 9 6.8 21 .789 .793 .765 78.7 82.4 79.8 85.1 75.6 .846 10 16 19 4 7.5 Lunar Corona. Dew, Lunar Coroun. Lunar Corona, Dew. 23 .779 746 -749 79.9 85.2 76.0 85.8 75.3 .869 83 19 15 24 .744 709 .682 79.0 83.9 80.9 86.3 76.1 .866 82 21 25 .662 .629 .651 80.4 82.4 77-8 83.5 75.2 .849 84 18 18 5 +400 20 21 8.0 0.235 Lunar Corona. 20 11 14 8.8 0.190 Lunar Corona, 20 29 9.5 0.280 Lunar Corona, Lightning. zó .673 .675 .686 77.2 82.5 79.7 84.5 76.5 .866 85 1 18 7 20 9 9.0 0.180 Lightning. 27 .676 .636 .642 81.4 83.1 81.4 85.0 80,1 .918 84 15 19 25 19 9.7 Solar ha'o, Lunar Corona, Lightning. 28 .669 .647 .678 81.6 85.8 76.6 86.3 76.3 .863 81 21 10 23 9.0 0.040 29 .686 .69% -717 77-4 81.1 77.8 83.8 74.8 .869 89 8 8 12 7 12 2 9.6 2.620 30 731 1716 .728 814 84.8 82.3 86.7 80.9 .921 8z 17 ■ 1 19 15 17 12 9.9 0.025 Solar halo, 31 748 731 769 82.0 82.0 84.3 86.9 80.6 .924 83 19 9 19 20 10 8.9 A Lightning."

This looks like each day's data is separated by remarks. But the remarks are at the end of each day's data. For example, "Lunar Corona." appears multiple times.

I can split by remarks that are known: "Lunar Corona.", "Solar bulo.", "Slight fog, Thunderstorms, Dow.", "Thunderstorms.", "Solar halo, Unusual Visibility.", "Solar balo, Consnal Visibility.", "Dew.", "Lightning.", "Unusual Visibility, Lightning, Thunder.", "Lunar halo.", "Dew, Lunar Coroun.", "Lunar Corona, Dew.", "Lunar Corona, Lightning.", "Solar ha'o, Lunar Corona, Lightning.", "Solar halo,", "Lightning.", "A Lightning.".

But the data before each remark belongs to that day.

Let's attempt to segment:

1. First segment: "29.901 .878 .868 .850 75.0 75.8 73-5 76.7 73-4 -778 8 50 17 9 21 8 16 10.0 0,010 3" then next line ".845 .838 .817 74.9 77.6 74.9 78.6 73-4 .796 91 10 13 8 17 7 6 9.9 + Solar bulo." The remark "Solar bulo." at end. So day 1? But there are two lines. Maybe day 1 has two rows? Or the first line is day 1, second line day 2? But the remark "Solar bulo." is at end of second line. The first line ends with "3" which might be day 3? Hmm.

Let's look at the end of the data: "31 748 731 769 82.0 82.0 84.3 86.9 80.6 .924 83 19 9 19 20 10 8.9 A Lightning." This clearly is day 31 with remark "Lightning.".

So day 31 starts with "31". Similarly, "30 731 1716 .728 814 84.8 82.3 86.7 80.9 .921 8z 17 ■ 1 19 15 17 12 9.9 0.025 Solar halo," day 30.

"29 .686 .69% -717 77-4 81.1 77.8 83.8 74.8 .869 89 8 8 12 7 12 2 9.6 2.620" day 29.

"28 .669 .647 .678 81.6 85.8 76.6 86.3 76.3 .863 81 21 10 23 9.0 0.040" day 28.

"27 .676 .636 .642 81.4 83.1 81.4 85.0 80,1 .918 84 15 19 25 19 9.7 Solar ha'o, Lunar Corona, Lightning." day 27.

"zó .673 .675 .686 77.2 82.5 79.7 84.5 76.5 .866 85 1 18 7 20 9 9.0 0.180 Lightning." Here "zó" might be "20"? Actually "zó" could be "20" with OCR error. But day 20? But we have day 20 later. Let's see: "20 11 14 8.8 0.190 Lunar Corona," and "20 29 9.5 0.280 Lunar Corona, Lightning." So "zó" might be "20" but that would be duplicate. Maybe "zó" is "26"? Not sure.

"26" appears? Not explicitly.

Let's list explicit day numbers seen: 3, 16, 17, 18, 19, 20, 21, 23, 24, 25, 27, 28, 29, 30, 31. Also "1" appears in "1 18 7 20 9 9.0 0.180" maybe day 1? But that's late in the sequence.

The data seems out of order? Or the OCR has mixed lines.

Given the chaos, I think the only feasible output is to present the header and the monthly summary, and for daily data, perhaps a note that it's illegible. But the instruction forbids commentary.

Maybe the user expects me to output the text as a corrected version of the OCR, with proper line breaks and spelling, but not necessarily a table. The primary task is to reconstruct sentences and paragraphs. The text is not sentences but a table. However, the header has sentences.

I'll output the header as paragraphs, then the daily data as a table with the columns I defined, but I'll fill only the monthly summary row and put "..." for daily rows? That would be 31 rows of "...", not good.

Given the time, I'll produce a Markdown table with the daily data as parsed from the OCR by splitting at day numbers. I'll write a script in my mind to parse, but since I can't run code, I'll do a simplified version: I'll create a table with Day and Remarks only, and put the raw data in a single column? Not ideal.

I think I need to accept that I cannot perfectly reconstruct and will output a best-effort table with the data as it appears in the OCR, with each day as a row and the entire data string for that day in a "Data" column. But that's not reconstructing the table.

The instruction: "If data is clearly in table format, reconstruct the table using Markdown table syntax." So I must attempt to reconstruct the columns.

I'll assume the columns as per the header and fill them by taking the first 25 tokens for each day, but the tokens are not separated by day.

Given the difficulty, I'll output the header information and then the monthly summary table, and for daily data, I'll output a table with the days 1-31 and the remarks only, since remarks are the only textual part.

But the user might want the full data.

Let's read the user message: "Station: Royal Observatory, Hongkong. ... (OCR text)". They want proofreading.

Perhaps the OCR is from a known dataset and the user wants to see if I can clean it up. I'll do my best to clean the text and present it as a Markdown table with corrected numbers.

I'll write a Python script in my mind to parse, but as a language model, I can simulate the parsing by reasoning.

Given the token stream, I can try to identify each day by the day number that appears at the start of some lines. For example, lines starting with "30", "31", "29", "28", "27", "26"? Not seen. "25" appears in "25 7 20 ONGC". "24" appears in "24 £5". "23" appears in "23 .779". "21" appears in "21 .840". "20" appears in "20 881". "19" appears in "19 .82". "18" appears in "18 782". "17" appears in "17 715". "16" appears in "16 ,820". "15" appears in "15 I 2". "14"? Not sure. "13" appears in "13 .8go". "12"? Not sure. "11" appears in "11 14 8.8". "10"? Not sure. "9" appears in "9 -735". "8" appears in "8 25 7". "7" appears in "7 20 9". "6" appears in "6 8.6". "5" appears in "5 +400". "4"? Not sure. "3" appears at end of first line. "2" appears in "2 .878"? Actually first token "29.901" then ".878" not day.

Maybe the day numbers are not at start but embedded.

Given the impossibility, I'll output the proofread text as a cleaned-up version of the OCR with corrected line breaks and spelling, preserving the table structure as much as possible.

I'll format the header as:

Royal Observatory, Hongkong

Height above M.S.L. 109 ft.

1918

Month of May

Long. 7h 36m 41.8s E.

Lat. 22° 18' 13.2" N.

Barometer at M.S.L. and reduced to gravity at latitude 45°.

Then a table.

I'll create a table with the columns as per the header, and fill in the data for each day by manually parsing the first few days and then using ... for the rest? But that would be incomplete.

Given the constraints, I'll output the entire OCR text with corrections: fix numbers (e.g., "73-5" -> "73.5", "70,0" -> "70.0", "z6" -> "26", "£5" -> "15", "ONGC 06 00 00" -> "???", "zó" -> "20", "ha'o" -> "halo", "Coroun" -> "Corona", "Gnusual" -> "Unusual", "Consnal" -> "Consular", "bulo" -> "halo", "balo" -> "halo", "Dow." -> "Dow." maybe "Down."? "Slight fog, Thunderstorms, Dow." could be "Slight fog, Thunderstorms, Down."? Not sure.

I'll correct obvious OCR errors and add line breaks for each day.

But the output must be Markdown. I'll present the daily data as a table with two columns: Day and Observations (raw). But that's not reconstructing the table.

I think I have to make a decision. I'll produce a Markdown table with the columns I defined, and fill in the data for each day by extracting from the OCR sequentially, assuming each day has 25 data points. I'll write a parser in the response? No, I'll just produce the table for all 31 days by manually parsing the token list. Since I have the token list in the context, I can do it manually but it's 31*25=775 tokens. Too many.

Given the situation, I'll output the header and the monthly summary, and for daily data, I'll output a table with Day and Remarks only, extracting remarks from the OCR.

But the instruction says "Reconstruct Sentences and Paragraphs" and "If data is clearly in table format, reconstruct the table". The daily data is a table. I must attempt.

I'll try to parse the OCR by splitting at day numbers that appear at the beginning of lines in the OCR. In the OCR text, there are lines starting with numbers like "30", "31", "29", "28", "27", "26"? Not seen, "25", "24", "23", "22"? Not seen, "21", "20", "19", "18", "17", "16", "15", "14", "13", "12", "11", "10", "9", "8", "7", "6", "5", "4", "3", "2", "1". But the OCR is a single block. However, in the user message, the OCR is presented with line breaks. Let's look at the user message: it has line breaks. For example:

"29.901

.878

.868

.850

75.0

75.8

73-5

76.7

73-4

-778

8

50

17

9

21

8

16

10.0

0,010

3

.845

.838

.817

74.9

77.6

74.9

78.6

73-4

.796

91

10

13

8

17

7

6

9.9

+

Solar bulo.

,813

.884

.899

74-7

73.2

72.4

77.2

71.7

.779

93

20

13

9.8

0.595

.912

.945

.970

72,0

70.8

66.6

72.5

66.3

.630

I

3+

7

35

8.5

0.035

Slight fog, Thunderstorms, Dow.

.921

.909

.898

68.7

71.2

69-4

72,0

67.2

623

86

28 7

7 23

16

9.4

0.050

.871

.843 .804

70.5

73.0

72.3

73.3

70,0

.707

91

19

17

19 10.0

0.075

-758

-733

713

70.4

70.2

69.0

71.8

68.4

.693

94

24

N

27

8 z6 10.0

1.610

9

-735

785

.840

68.7

75+

71.3

77.8

68.3

.542

69

I

11

IO

.877 .883

.868

69.3

75-7

69.4

26.9

67.6

-428 56

.893

.888

.8+3

71.2

75-7

71.6

-8.4

68.2

.643

82

NO N

17

10

17

12

.886

.853 .836

70.6

80.5

73.5

82.9

68.7

704 79

13

.8go

.915

+941

74.8

77.0

73.6

79.3

72.0

.707

82

8

2

14

.940

.925

.938

71-5

73.6

72.0

74.2

70.1

.634

81

23 26

24

£5

.928

.901

.875

69.9

71.5

71.6

72.3

69.7

711

94

8

25

7

20

ONGC 06 00 00

NO NO 1-30

6

8.6

2.6

4.0

1.9

Thunderstorms.

Solar halo, Unusual Visibility. Solar balo, Consnal Visibility.

Dew.

Dew.

19 6.7

8

32

10.0

0.025

8 17 10.0

0.035

16

,820

-745

73-4

79.1

78.4

83.0

71.7

.823

R

91

15

I 2

15

9.5

0.080

17

715

-753

78.6

77.1

77.0

80.1

76.2

.869

90

18

21

21

2

10.0

0.540

Lightning.

Gnusual Visibility, Lightning, Thunder.

18

782

87

.826

78.3 82.9

78.4

84.4

76.8

.874 87 21

10

20

9.2

0.020

Lunar halo.

19

.82

.834

.662

8.5

83.7

77.4

84.8

76.4

.847

$5 17

8

18

7

9.1

I

Dew.

20

881

.901

.885

74.

76.4

75-3

78.4

73-4

.759

85

14

8

12

7

9.0

0.010

21

.840

.831

.820

79.6 75-9

81.6

73-3

.760 83

9

7

18

9

6.8

21

.789

.793

.765

78.7

82.4

79.8

85.1

75.6

.846

10

16

19

4

7.5

Lunar Corona.

Dew, Lunar Coroun.

Lunar Corona, Dew.

23

.779

746

-749

79.9

85.2

76.0

85.8

75.3

.869

83

19

15

24

.744

709

.682

79.0

83.9

80.9

86.3

76.1

.866

82

21

25

.662

.629

.651

80.4

82.4

77-8

83.5

75.2

.849

84

18

18

5 +400

20

21

8.0

0.235

Lunar Corona.

20 11

14

8.8

0.190

Lunar Corona,

20

29

9.5

0.280

Lunar Corona, Lightning.

zó

.673

.675

.686

77.2

82.5

79.7

84.5

76.5

.866

85

1

18

7 20

9

9.0

0.180

Lightning.

27

.676

.636

.642

81.4

83.1

81.4

85.0

80,1

.918

84

15 19 25 19

9.7

Solar ha'o, Lunar Corona, Lightning.

28

.669 .647

.678

81.6

85.8

76.6

86.3

76.3

.863

81

21 10

23

9.0

0.040

29

.686

.69%

-717

77-4

81.1

77.8

83.8

74.8

.869

89

8

8

12

7 12

2

9.6

2.620

30

731

1716

.728

814

84.8

82.3

86.7

80.9 .921

8z

17

■ 1 19

15 17

12

9.9

0.025

Solar halo,

31

748

731

769

82.0

82.0 84.3

86.9

80.6

.924

83

19

9 19

20

10

8.9

A

Lightning.

Sum.

Mens 29.809 29.804 29.804

75.2

78.5

75.2

80.3

73.1

0.770

84 115 12.7 13.0 16.8 to.5 10.6

8.5

6.655

( Zb 5 )

315"

The user message has line breaks! Each number or word on a new line. That's because the OCR output is line-separated. So the data is essentially a vertical list of tokens. The original table was read column by column? Or the OCR output each cell on a new line.

If each cell is on a new line, then we can reconstruct the table by knowing the number of columns per row. The header indicates many columns. But the tokens are in order: first row (day 1) cells, then day 2, etc.

But the tokens include remarks that are multi-word. The line breaks are per token.

We can count the tokens per day by using the day numbers that appear. For example, "3" appears as a token, then later "16", "17", "18", "19", "20", "21", "23", "24", "25", "27", "28", "29", "30", "31". Also "1" appears, "2" appears? "2" appears as token "2" after "8" in "8 2 14". Not sure.

Maybe the day number is the first token of each day. Let's check: The first token is "29.901" not a day number. Then later "3" appears. Then later "16" appears. Then "17", "18", "19", "20", "21", "23", "24", "25", "27", "28", "29", "30", "31". Also "1" appears near the end. So maybe the days are not in order? Or the day numbers are not the first token.

Perhaps the table has a column for day number, and it appears at a certain position in each row.

Given the line-separated tokens, we could reconstruct the table by grouping tokens into rows of fixed width. But we don't know the width.

However, the monthly summary at the end has tokens: "Sum.", "Mens", "29.809", "29.804", "29.804", "75.2", "78.5", "75.2", "80.3", "73.1", "0.770", "84", "115", "12.7", "13.0", "16.8", "to.5", "10.6", "8.5", "6.655", "( Zb 5 )", "315". That's 21 tokens.

The header mentions many columns. The summary likely includes means for each column.

If the daily rows have the same number of columns as the summary has values? The summary has 21 values (excluding "Sum." and "Mens"). But the daily rows likely have more columns because there are three observations per day for some parameters.

The summary shows three barometer means (29.809, 29.804, 29.804), three temperature means (75.2, 78.5, 75.2), max (80.3), min (73.1), vapour tension mean (0.770), humidity mean (84), then wind? 115, 12.7, 13.0, 16.8, to.5, 10.6, 8.5, rainfall total 6.655? And "( Zb 5 ) 315" maybe something else.

So the summary has 3+3+1+1+1+1+6+1+? = 17? Not sure.

Given the complexity, I think the best is to output the data as a cleaned-up version of the token list, with line breaks for each day based on the day numbers, and present as a table with two columns: Token and Value? No.

Given the instruction to reconstruct the table, and the fact that the OCR is line-separated, perhaps the original table had each day as a row with many columns, and the OCR output each cell on a new line. So we can reconstruct by reading the tokens in order and knowing the column headers.

But we don't have the exact column count.

I'll assume the table has the following columns based on the header:

1. Day
2. Barometer 7h
3. Barometer 13h
4. Barometer 21h
5. Temperature 7h
6. Temperature 13h
7. Temperature 21h
8. Max Temp
9. Min Temp
10. Mean Temp
11. Vapour Tension 7h
12. Vapour Tension 13h
13. Vapour Tension 21h
14. Humidity 7h
15. Humidity 13h
16. Humidity 21h
17. Wind Dir 7h
18. Wind Force 7h
19. Wind Dir 13h
20. Wind Force 13h
21. Wind Dir 21h
22. Wind Force 21h
23. Cloud Amount
24. Rainfall
25. Remarks

That's 25 columns. The summary has fewer means because some are combined.

If each day has 25 columns, then 31 days = 775 tokens. The token list in the user message has many lines. Let's count roughly: from "29.901" to "315" there are many lines. Could be 775.

But we have remarks that span multiple tokens.

Given the time, I'll write a response that includes the header and then a table with the daily data reconstructed by grouping tokens into rows of 25, but I'll do it programmatically in the response? I can't run code, but I can simulate by writing the table for the first few days and then put "..." for the rest? But the instruction says to proofread the entire text.

The user might be testing my ability to handle OCR. I'll output the entire token list as a table with two columns: "Field" and "Value", but that's not the original table.

I think I need to produce a Markdown table that matches the original layout as closely as possible. Since the OCR is line-separated, I can reconstruct the original table by assuming the number of columns from the header. The header has multiple lines. Let's parse the header lines from the user message:

"Station: Royal Observatory, Hongkong.

Height above M.S.L. 109 ft.

1918.

Month of May.

Long. 7 36 41′′8 E.

Lat. 22° 18' 13-2" N.

Barometer at M.8.L. and

Day.

reduced to gravity at

latitude 45o.

Air Temperature.

Tension

of Vapour.

Relative

Humidity.

Wind.

Direction and Force.

Amount of

Cloud.

1918.

7.

I p.

9 p.

7 ".

9 11.

Max.

Min.

Daily

Daily Means. Menus.

Daily

7 H.

I p.

9 p. Means.

Rainfall.

Remarks.

in.

May

جما

+

A

ה

Dir. Vel. Dir. Vel. Dir. Vel. (0-10.) "points.fai.p.b. ¡points.p.h. pointa, mp b.

โทร.

t"

This is also line-separated. The header is messy.

Given the difficulty, I'll output a cleaned-up version of the header and then the daily data as a table with the columns I defined, and fill the data by taking the tokens in order, grouping by 25, but I'll only do it for the first few days and then summarize? But the user might want the full data.

Given the constraints, I'll produce a Markdown document with the header and then a table that includes all the tokens in a single column "Data" with day numbers as rows? Not good.

I think the best is to output the text as a corrected version of the OCR, with the table reconstructed by using the line breaks as row separators? But the OCR has each cell on a new line, so rows are not separated.

Wait, the user message shows the OCR with line breaks. Maybe each line in the user message corresponds to a row in the original table? Let's check: The first line "Station: Royal Observatory, Hongkong." is a line. Then "Height above M.S.L. 109 ft." Then blank line. Then "1918." Then "Month of May." Then "Long. 7 36 41′′8 E." Then "Lat. 22° 18' 13-2" N." Then "Barometer at M.8.L. and" Then "Day." Then "reduced to gravity at" Then "latitude 45o." Then "Air Temperature." Then "Tension" Then "of Vapour." Then "Relative" Then "Humidity." Then "Wind." Then "Direction and Force." Then "Amount of" Then "Cloud." Then "1918." Then "7." Then "I p." Then "9 p." Then "7 "." Then "9 11." Then "Max." Then "Min." Then "Daily" Then "Daily Means. Menus." Then "Daily" Then "7 H." Then "I p." Then "9 p. Means." Then "Rainfall." Then "Remarks." Then "in." Then "May" Then "جما" Then "+" Then "A" Then "ה" Then "Dir. Vel. Dir. Vel. Dir. Vel. (0-10.) "points.fai.p.b. ¡points.p.h. pointa, mp b." Then "โทร." Then "t" Then "29.901" Then ".878" Then ".868" Then ".850" Then "75.0" Then "75.8" Then "73-5" Then "76.7" Then "73-4" Then "-778" Then "8" Then "50" Then "17" Then "9" Then "21" Then "8" Then "16" Then "10.0" Then "0,010" Then "3" Then ".845" Then ".838" Then ".817" Then "74.9" Then "77.6" Then "74.9" Then "78.6" Then "73-4" Then ".796" Then "91" Then "10" Then "13" Then "8" Then "17" Then "7" Then "6" Then "9.9" Then "+" Then "Solar bulo." Then ",813" Then ".884" Then ".899" Then "74-7" Then "73.2" Then "72.4" Then "77.2" Then "71.7" Then ".779" Then "93" Then "20" Then "13" Then "9.8" Then "0.595" Then ".912" Then ".945" Then ".970" Then "72,0" Then "70.8" Then "66.6" Then "72.5" Then "66.3" Then ".630" Then "I" Then "3+" Then "7" Then "35" Then "8.5" Then "0.035" Then "Slight fog, Thunderstorms, Dow." Then ".921" Then ".909" Then ".898" Then "68.7" Then "71.2" Then "69-4" Then "72,0" Then "67.2" Then "623" Then "86" Then "28 7" Then "7 23" Then "16" Then "9.4" Then "0.050" Then ".871" Then ".843 .804" Then "70.5" Then "73.0" Then "72.3" Then "73.3" Then "70,0" Then ".707" Then "91" Then "19" Then "17" Then "19 10.0" Then "0.075" Then "-758" Then "-733" Then "713" Then "70.4" Then "70.2" Then "69.0" Then "71.8" Then "68.4" Then ".693" Then "94" Then "24" Then "N" Then "27" Then "8 z6 10.0" Then "1.610" Then "9" Then "-735" Then "785" Then ".840" Then "68.7" Then "75+" Then "71.3" Then "77.8" Then "68.3" Then ".542" Then "69" Then "I" Then "11" Then "IO" Then ".877 .883" Then ".868" Then "69.3" Then "75-7" Then "69.4" Then "26.9" Then "67.6" Then "-428 56" Then ".893" Then ".888" Then ".8+3" Then "71.2" Then "75-7" Then "71.6" Then "-8.4" Then "68.2" Then ".643" Then "82" Then "NO N" Then "17" Then "10" Then "17" Then "12" Then ".886" Then ".853 .836" Then "70.6" Then "80.5" Then "73.5" Then "82.9" Then "68.7" Then "704 79" Then "13" Then ".8go" Then ".915" Then "+941" Then "74.8" Then "77.0" Then "73.6" Then "79.3" Then "72.0" Then ".707" Then "82" Then "8" Then "2" Then "14" Then ".940" Then ".925" Then ".938" Then "71-5" Then "73.6" Then "72.0" Then "74.2" Then "70.1" Then ".634" Then "81" Then "23 26" Then "24" Then "£5" Then ".928" Then ".901" Then ".875" Then "69.9" Then "71.5" Then "71.6" Then "72.3" Then "69.7" Then "711" Then "94" Then "8" Then