1916 — Page 310

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The user wants me to proofread OCR output of a historical meteorological record from the Royal Observatory, Hong Kong, for December 1916. The text is a table with daily observations. I need to reconstruct the Markdown table, fix OCR errors, preserve structure, and output only Markdown.

First, I need to understand the table structure. The header lines are messy. Let me parse the original OCR text.

The first lines:

"Station: Royal Observatory, Hongkong.

Height above M.S.L. 109 ft.

Barometer at M.S.L. and

Day. I

reduced to gravity at

latitude 45°.

Air Temperature.

1916.

Month of December.

Tension of

Vapour.

Relative

Humidity.

Wind.

Direction and Fores.

Amount of

Cloud.

1.

Long. 7 36 418 E.

Lat. 22° 18′ 13′2′′ N.

Rainfall.

Remarks.

1916.

7 11.

IP.

9 p.

7

I p.

ջ 9 թ.

Max.

Min.

Daily Daily Means. Means,

Daily

7 ն.

1 P.

9 P.

Means.

Dir. Vei. Dir. Vel. Dir. Vel. (0-10.)

Dec.

Ink

inx.

las.

→

0

+

h

jn,

%

points, m.p.. points.in.p.li. [points.| m.pl.j

ing."

This is a header for a meteorological table. The columns seem to be:

  • Day (Dec)
  • Barometer readings at 7h, 11h, 9h? Actually "7 11. IP. 9 p." maybe 7h, 11h, 9h? Wait "7 11. IP. 9 p." could be 7h, 11h, 1h, 9h? But then "7 I p. ջ 9 թ." maybe 7h, 1h, 9h? The original likely has observations at 7h, 11h, 13h? Actually typical meteorological observations: 7h, 13h, 21h? But here it's 7, 11, 9? Let's see the data rows.

The data rows start with "I 30.225 30.159 30.182 53.0 62.1 58.7 63.0 50.4 0,167 35 3 15 .193 .178 .182 53.7 62.7 57.6 65.2 52.6 .186 16 TAND 32 1 10 1.5 37 9 9 0.2 3 .162 .125 .154. 53.9 65-7 62.3 68.4 52.8 .185 34 32 32 7 31 6 0.1 .118 .061 .086 56.7 70.1 61.9 22 70.5 55-4 .257 44 9 Haze. .044 29.988 60.0 71.9 64.5 72.3 58.1 .317 52 8 3 17 2 8 11 4-3 Haze. .010 .969 .000 62.7 71.8 65.4 73-5 61.5 -454 69 10 12 7 2.8 Haze. .035 30.024 .082 64.8 71.8 66.2 72.8 63.5 .504 75 .100 .069 113 64.7 73-7 62.7 76.4 60.0 -334 50 9 .148 .100 .106 55.2 64.7 62.3 67.3 55.0 .289 52 INN 7 10 19 9 3.4 Huzo. 2 2 10 130 .077 .097 52.8 64.8 61.0 67.2 52.4 .253 48 32 .099 .081 .107 54-4 65.2 59-5 66.6 53.8 .307 59 12 .090 .078 .063 56.5 62.2 61,8 62.9 54-9 .376 71 13 .087 .054 .049 61.7 71.8 65.7 72.6 61.6 ·416 65 16 in the ino 5 2+ ++ 7 2 5 1.5 Huze. 5 1 1.0 Haze. I 5 0.4 27 2 1.8 Huze. 14 .085 .044 ,091 63.7 71.8 64.4 72.6 59.1 .278 42 15 .159 .112 .135 53.7 64.5 60.9 66.0 53.3 .256 49 16 .132 .066 .00+ 55.1 65.7 59.8 66.9 53.8 .276 52 17 .053 .009 .034 56.4 64.8 59.9 66.3 56.2 .383 70 18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45 20 30.006 -995 .053 63.0 66.6 62.6 67.6 61.7 .341 21 .070 .931 .052 62.6 66.1 63.3 67.1 61.6 -430 22 .053 30.002 .015 63.0 64-7 62.7 65.7 61.3 +450 23 .000 29.942 29.955 62.7 67.4 64.5 67.9 61.0 418 24 29.934 .915 .960 64.1 66.7 63.7 68.6 63.5 .457 25 30,009 .980 30.023 64.7 71.2 64.3 71.9 63.3 .424 26 .087 30.056 .086 61.2 62.7 61.1 64.2 60.1 .407 27 .110 .065 .087 60.2 60.7 60.7 61.3 58.9 -388 28 .136 .091 .085 59.3 60.7 59.5 62.3 58.9 -385 29 .014 29.981 .019 60.5 62.5 61.5 65.3 58.1 414 30 .007 .981 .030 55-3 64.4 57-7 65.7 54.1 -349 31 .odo 30.027 .061 55-7 63.7 60.1 63.7 5+.9 .361 MANNKORY ZAZR8 K 32 NN 2 M00 3 22 22 8 8 23 3.8 Lunar Corom, Dew. 1 8 00 00 00 29 2 0.8 Haze. 8 13 6 10 0.7 Ilaze. I 12 15 7 1 I 3 1.9 Huze. 1 10 20 2,2 Dow. A 10 9 7-7 Fog, Haze. 31 31 9.9 57 10 13 10.0 ++ 72 77 70 73 66 74 78 78 ON It 17 7 17 10 22 8 10 8 17 16 25 10 13 9 7 17 IO 20 7 15 8 10 7 20 74 7 27 8 19 14 10 16 68 31 4 1 8 71 30 2 10 16 00 00 00 0 0.00 NNÄ 1 NO I 1 10.0 Haze, 12 10.0 Haze. 8 16 9-7 0.050 9 16 4.4 ]] 9 0.9 15 7.9 Ilaze. 8.8 7 9.5 9 9.7 7.7 Haze. 6 9 7-7 Ilaze. - Sums. Menus 30.076 30.038 30.064 59.3 66.6 62.3 67.9 57.9 0.348 бо 5.9 9.6 | 9.5|11.7 7.4 9.8 4-5 0.050 In reducing the Barometer to gravity at latitude 45" a constant correction of −0·055 inch has been applied. ( Zb 13 )"

This is a mess. I need to reconstruct the table. The original is likely a standard meteorological register with columns:

  • Day of month (Dec)
  • Barometer at 7h, 11h, 9h? Actually the header says "7 11. IP. 9 p." and "7 I p. ջ 9 թ." Might be 7h, 11h, 13h, 21h? But there are three barometer readings per day? The data shows three barometer values per day (e.g., 30.225, 30.159, 30.182). Then air temperature at same hours? Then max, min, daily means? Then tension of vapour, relative humidity, wind direction and force, cloud amount, rainfall, remarks.

Let's examine the first data row: "I 30.225 30.159 30.182 53.0 62.1 58.7 63.0 50.4 0,167 35 3 15 .193 .178 .182 53.7 62.7 57.6 65.2 52.6 .186 16 TAND 32 1 10 1.5 37 9 9 0.2 3 .162 .125 .154. 53.9 65-7 62.3 68.4 52.8 .185 34 32 32 7 31 6 0.1 .118 .061 .086 56.7 70.1 61.9 22 70.5 55-4 .257 44 9 Haze. .044 29.988 60.0 71.9 64.5 72.3 58.1 .317 52 8 3 17 2 8 11 4-3 Haze. .010 .969 .000 62.7 71.8 65.4 73-5 61.5 -454 69 10 12 7 2.8 Haze. .035 30.024 .082 64.8 71.8 66.2 72.8 63.5 .504 75 .100 .069 113 64.7 73-7 62.7 76.4 60.0 -334 50 9 .148 .100 .106 55.2 64.7 62.3 67.3 55.0 .289 52 INN 7 10 19 9 3.4 Huzo. 2 2 10 130 .077 .097 52.8 64.8 61.0 67.2 52.4 .253 48 32 .099 .081 .107 54-4 65.2 59-5 66.6 53.8 .307 59 12 .090 .078 .063 56.5 62.2 61,8 62.9 54-9 .376 71 13 .087 .054 .049 61.7 71.8 65.7 72.6 61.6 ·416 65 16 in the ino 5 2+ ++ 7 2 5 1.5 Huze. 5 1 1.0 Haze. I 5 0.4 ** 27 2 1.8 Huze. 14 .085 .044 ,091 63.7 71.8 64.4 72.6 59.1 .278 42 15 .159 .112 .135 53.7 64.5 60.9 66.0 53.3 .256 49 16 .132 .066 .00+ 55.1 65.7 59.8 66.9 53.8 .276 52 17 .053 .009 .034 56.4 64.8 59.9 66.3 56.2 .383 70 18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45 20 30.006 -995 .053 63.0 66.6 62.6 67.6 61.7 .341 21 .070 .931 .052 62.6 66.1 63.3 67.1 61.6 -430 22 .053 30.002 .015 63.0 64-7 62.7 65.7 61.3 +450 23 .000 29.942 29.955 62.7 67.4 64.5 67.9 61.0 418 24 29.934 .915 .960 64.1 66.7 63.7 68.6 63.5 .457 25 30,009 .980 30.023 64.7 71.2 64.3 71.9 63.3 .424 26 .087 30.056 .086 61.2 62.7 61.1 64.2 60.1 .407 27 .110 .065 .087 60.2 60.7 60.7 61.3 58.9 -388 28 .136 .091 .085 59.3 60.7 59.5 62.3 58.9 -385 29 .014 29.981 .019 60.5 62.5 61.5 65.3 58.1 414 30 .007 .981 .030 55-3 64.4 57-7 65.7 54.1 -349 31 .odo 30.027 .061 55-7 63.7 60.1 63.7 5+.9 .361"

It seems the OCR has run multiple lines together. Actually each day should be a row. The first row starts with "I" (day 1). Then three barometer readings: 30.225, 30.159, 30.182. Then three air temperatures? 53.0, 62.1, 58.7? Then max 63.0, min 50.4? Then "0,167" maybe tension of vapour? Then "35" relative humidity? Then wind direction and force: "3 15 "? Then cloud amount? Then next day? But the data continues with ".193 .178 .182 53.7 62.7 57.6 65.2 52.6 .186 16 TAND 32 1 10 1.5 37 9 9 0.2 3 .162 .125 .154. 53.9 65-7 62.3 68.4 52.8 .185 34 32 32 7 31 6 0.1 .118 .061 .086 56.7 70.1 61.9 22 70.5 55-4 .257 44 9 Haze. .044 29.988 60.0 71.9 64.5 72.3 58.1 .317 52 8 3 17 2 8 11 4-3 Haze. .010 .969 .000 62.7 71.8 65.4 73-5 61.5 -454 69 10 12 7 2.8 Haze. .035 30.024 .082 64.8 71.8 66.2 72.8 63.5 .504 75 .100 .069 113 64.7 73-7 62.7 76.4 60.0 -334 50 9 .148 .100 .106 55.2 64.7 62.3 67.3 55.0 .289 52 INN 7 10 19 9 3.4 Huzo. 2 2 10 130 .077 .097 52.8 64.8 61.0 67.2 52.4 .253 48 32 .099 .081 .107 54-4 65.2 59-5 66.6 53.8 .307 59 12 .090 .078 .063 56.5 62.2 61,8 62.9 54-9 .376 71 13 .087 .054 .049 61.7 71.8 65.7 72.6 61.6 ·416 65 16 in the ino 5 2+ ++ 7 2 5 1.5 Huze. 5 1 1.0 Haze. I 5 0.4 ** 27 2 1.8 Huze. 14 .085 .044 ,091 63.7 71.8 64.4 72.6 59.1 .278 42 15 .159 .112 .135 53.7 64.5 60.9 66.0 53.3 .256 49 16 .132 .066 .00+ 55.1 65.7 59.8 66.9 53.8 .276 52 17 .053 .009 .034 56.4 64.8 59.9 66.3 56.2 .383 70 18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45 20 30.006 -995 .053 63.0 66.6 62.6 67.6 61.7 .341 21 .070 .931 .052 62.6 66.1 63.3 67.1 61.6 -430 22 .053 30.002 .015 63.0 64-7 62.7 65.7 61.3 +450 23 .000 29.942 29.955 62.7 67.4 64.5 67.9 61.0 418 24 29.934 .915 .960 64.1 66.7 63.7 68.6 63.5 .457 25 30,009 .980 30.023 64.7 71.2 64.3 71.9 63.3 .424 26 .087 30.056 .086 61.2 62.7 61.1 64.2 60.1 .407 27 .110 .065 .087 60.2 60.7 60.7 61.3 58.9 -388 28 .136 .091 .085 59.3 60.7 59.5 62.3 58.9 -385 29 .014 29.981 .019 60.5 62.5 61.5 65.3 58.1 414 30 .007 .981 .030 55-3 64.4 57-7 65.7 54.1 -349 31 .odo 30.027 .061 55-7 63.7 60.1 63.7 5+.9 .361"

This is a single line in OCR but actually multiple rows. The pattern: each day starts with a day number (1-31). But after day 1, the next day number appears at "14"? Actually "14 .085 .044 ,091 63.7 71.8 64.4 72.6 59.1 .278 42 15 .159 .112 .135 53.7 64.5 60.9 66.0 53.3 .256 49 16 .132 .066 .00+ 55.1 65.7 59.8 66.9 53.8 .276 52 17 .053 .009 .034 56.4 64.8 59.9 66.3 56.2 .383 70 18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45 20 30.006 -995 .053 63.0 66.6 62.6 67.6 61.7 .341 21 .070 .931 .052 62.6 66.1 63.3 67.1 61.6 -430 22 .053 30.002 .015 63.0 64-7 62.7 65.7 61.3 +450 23 .000 29.942 29.955 62.7 67.4 64.5 67.9 61.0 418 24 29.934 .915 .960 64.1 66.7 63.7 68.6 63.5 .457 25 30,009 .980 30.023 64.7 71.2 64.3 71.9 63.3 .424 26 .087 30.056 .086 61.2 62.7 61.1 64.2 60.1 .407 27 .110 .065 .087 60.2 60.7 60.7 61.3 58.9 -388 28 .136 .091 .085 59.3 60.7 59.5 62.3 58.9 -385 29 .014 29.981 .019 60.5 62.5 61.5 65.3 58.1 414 30 .007 .981 .030 55-3 64.4 57-7 65.7 54.1 -349 31 .odo 30.027 .061 55-7 63.7 60.1 63.7 5+.9 .361"

So days 14-31 are there. But days 2-13 are missing? Actually the first line includes day 1 and then maybe day 2? Let's see: after day 1 data, we see ".193 .178 .182 53.7 62.7 57.6 65.2 52.6 .186 16 TAND 32 1 10 1.5 37 9 9 0.2 3 .162 .125 .154. 53.9 65-7 62.3 68.4 52.8 .185 34 32 32 7 31 6 0.1 .118 .061 .086 56.7 70.1 61.9 22 70.5 55-4 .257 44 9 Haze. .044 29.988 60.0 71.9 64.5 72.3 58.1 .317 52 8 3 17 2 8 11 4-3 Haze. .010 .969 .000 62.7 71.8 65.4 73-5 61.5 -454 69 10 12 7 2.8 Haze. .035 30.024 .082 64.8 71.8 66.2 72.8 63.5 .504 75 .100 .069 113 64.7 73-7 62.7 76.4 60.0 -334 50 9 .148 .100 .106 55.2 64.7 62.3 67.3 55.0 .289 52 INN 7 10 19 9 3.4 Huzo. 2 2 10 130 .077 .097 52.8 64.8 61.0 67.2 52.4 .253 48 32 .099 .081 .107 54-4 65.2 59-5 66.6 53.8 .307 59 12 .090 .078 .063 56.5 62.2 61,8 62.9 54-9 .376 71 13 .087 .054 .049 61.7 71.8 65.7 72.6 61.6 ·416 65 16 in the ino 5 2+ ++ 7 2 5 1.5 Huze. 5 1 1.0 Haze. I 5 0.4 *** 27 2 1.8 Huze."

This looks like multiple days concatenated. The day numbers might be missing. Let's try to parse by looking for patterns: Barometer readings are around 30.xxx or 29.xxx. Air temperatures around 50-70. Tension of vapour around 0.xxx. Relative humidity 30-80. Wind direction and force: numbers like 32, 1, 10, 1.5 etc. Cloud amount 0-10. Rainfall maybe inches. Remarks like "Haze.", "Fog, Haze.", "Dew.", "Lunar Corom,".

The OCR has lost line breaks. I need to reconstruct rows for each day 1-31. The table likely has columns:

  1. Day
  2. Barometer at 7h (inches)
  3. Barometer at 11h? or 13h? Actually header: "7 11. IP. 9 p." Could be 7h, 11h, 13h, 21h? But there are three barometer readings per day in data (e.g., 30.225, 30.159, 30.182). So maybe three observation times: 7h, 13h, 21h? But header says "7 11. IP. 9 p." Might be 7h, 11h, 1h, 9h? That's four. But we have three values. Let's check day 18: "29.980 29.943 29.962" three values. Day 19: ".981 -956 30.000" three values. So three barometer readings per day.

Similarly, air temperature: three values? Day 1: "53.0 62.1 58.7" then "63.0 50.4" maybe max and min. So three temps at observation times, then max, min.

Then "Daily Means" maybe mean of three? Then "Tension of Vapour" three values? Day 1: "0,167 35 3 15 *"? Not sure.

Let's look at the header again: "Barometer at M.S.L. and reduced to gravity at latitude 45°. Air Temperature. 1916. Month of December. Tension of Vapour. Relative Humidity. Wind. Direction and Fores. Amount of Cloud. 1. Long. 7 36 418 E. Lat. 22° 18′ 13′2′′ N. Rainfall. Remarks. 1916. 7 11. IP. 9 p. 7 I p. ջ 9 թ. Max. Min. Daily Daily Means. Means, Daily 7 ն. 1 P. 9 P. Means. Dir. Vei. Dir. Vel. Dir. Vel. (0-10.) Dec. Ink inx. las. → 0 + h jn, % points, m.p.. points.in.p.li. [points.| m.pl.j ing."

This is garbled. But we can infer standard columns for Hong Kong Observatory records. I recall that the Hong Kong Observatory published "Meteorological Results" with tables for each month. The table typically includes:

  • Day
  • Barometer (mean of 3 observations? or three separate)
  • Temperature (dry bulb) at 3 hours
  • Max, Min, Mean
  • Humidity (vapour pressure, relative humidity)
  • Wind (direction, force)
  • Cloud amount
  • Rainfall
  • Remarks

Given the OCR, I need to produce a Markdown table that represents the data as best as possible. Since the OCR is messy, I might need to reconstruct each day's row by parsing the numbers sequentially.

But the user expects me to proofread the OCR output, not to re-create the entire table from scratch if it's too garbled. However, the instruction says: "Reconstruct Sentences and Paragraphs" and "Tables — if data is clearly in table format, reconstruct the table using Markdown table syntax."

Thus I must produce a Markdown table. I need to decide on column headers based on the original header.

Let me try to parse the header more carefully.

The first lines:

"Station: Royal Observatory, Hongkong.

Height above M.S.L. 109 ft.

Barometer at M.S.L. and

Day. I

reduced to gravity at

latitude 45°.

Air Temperature.

1916.

Month of December.

Tension of

Vapour.

Relative

Humidity.

Wind.

Direction and Fores.

Amount of

Cloud.

1.

Long. 7 36 418 E.

Lat. 22° 18′ 13′2′′ N.

Rainfall.

Remarks.

1916.

7 11.

IP.

9 p.

7

I p.

ջ 9 թ.

Max.

Min.

Daily Daily Means. Means,

Daily

7 ն.

1 P.

9 P.

Means.

Dir. Vei. Dir. Vel. Dir. Vel. (0-10.)

Dec.

Ink

inx.

las.

→

0

+

h

jn,

%

points, m.p.. points.in.p.li. [points.| m.pl.j

ing."

This appears to be a multi-line header. The "Day. I" might be "Day" column. "Barometer at M.S.L. and reduced to gravity at latitude 45°." Then "Air Temperature." Then "Tension of Vapour." "Relative Humidity." "Wind. Direction and Force." "Amount of Cloud." "Rainfall." "Remarks."

Then observation times: "7 11. IP. 9 p." maybe "7h, 11h, 13h, 21h"? But "IP." could be "1 p.m."? "9 p." is 9 p.m. "7 I p." maybe "7 a.m., 1 p.m."? "ջ 9 թ." is Armenian letters? Might be OCR garbage for "7h, 9h"? Actually "ջ" is Armenian letter, "թ" also. Could be "7h, 9h"? Not sure.

Then "Max. Min. Daily Daily Means. Means, Daily 7 ն. 1 P. 9 P. Means." This suggests columns for Max, Min, Daily Means, and then means at 7h, 1h, 9h? But we have three barometer readings, three temperature readings.

"Dir. Vei. Dir. Vel. Dir. Vel. (0-10.)" Wind direction and velocity at three times? And cloud amount (0-10).

"Dec." likely day of December.

"Ink inx. las." maybe "Inches"? "→ 0 + h jn, % points, m.p.. points.in.p.li. [points.| m.pl.j ing." Garbled.

Given the difficulty, I might need to produce a table with the columns as they appear in the data. Since the data for each day seems to have a fixed number of values, I can count.

Let's take day 18 as example: "18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45"

Wait, day 18 appears twice? Actually the text: "18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45". This might be day 18 and day 19 combined. Day 18: 29.980, 29.943, 29.962, 60.1, 73.7, then maybe max/min? But then "19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45" is day 19.

So each day starts with day number. Let's split by day numbers 1-31.

I'll write a script mentally to parse. But as a language model, I can manually parse.

Let's list the entire data string after the header. The OCR text after "ing." is the data. I'll copy the data part:

"I 30.225 30.159 30.182 53.0 62.1 58.7 63.0 50.4 0,167 35 3 15 .193 .178 .182 53.7 62.7 57.6 65.2 52.6 .186 16 TAND 32 1 10 1.5 37 9 9 0.2 3 .162 .125 .154. 53.9 65-7 62.3 68.4 52.8 .185 34 32 32 7 31 6 0.1 .118 .061 .086 56.7 70.1 61.9 22 70.5 55-4 .257 44 9 Haze. .044 29.988 60.0 71.9 64.5 72.3 58.1 .317 52 8 3 17 2 8 11 4-3 Haze. .010 .969 .000 62.7 71.8 65.4 73-5 61.5 -454 69 10 12 7 2.8 Haze. .035 30.024 .082 64.8 71.8 66.2 72.8 63.5 .504 75 .100 .069 113 64.7 73-7 62.7 76.4 60.0 -334 50 9 .148 .100 .106 55.2 64.7 62.3 67.3 55.0 .289 52 INN 7 10 19 9 3.4 Huzo. 2 2 10 130 .077 .097 52.8 64.8 61.0 67.2 52.4 .253 48 32 .099 .081 .107 54-4 65.2 59-5 66.6 53.8 .307 59 12 .090 .078 .063 56.5 62.2 61,8 62.9 54-9 .376 71 13 .087 .054 .049 61.7 71.8 65.7 72.6 61.6 ·416 65 16 in the ino 5 2+ ++ 7 2 5 1.5 Huze. 5 1 1.0 Haze. I 5 0.4 ** 27 2 1.8 Huze. 14 .085 .044 ,091 63.7 71.8 64.4 72.6 59.1 .278 42 15 .159 .112 .135 53.7 64.5 60.9 66.0 53.3 .256 49 16 .132 .066 .00+ 55.1 65.7 59.8 66.9 53.8 .276 52 17 .053 .009 .034 56.4 64.8 59.9 66.3 56.2 .383 70 18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45 20 30.006 -995 .053 63.0 66.6 62.6 67.6 61.7 .341 21 .070 .931 .052 62.6 66.1 63.3 67.1 61.6 -430 22 .053 30.002 .015 63.0 64-7 62.7 65.7 61.3 +450 23 .000 29.942 29.955 62.7 67.4 64.5 67.9 61.0 418 24 29.934 .915 .960 64.1 66.7 63.7 68.6 63.5 .457 25 30,009 .980 30.023 64.7 71.2 64.3 71.9 63.3 .424 26 .087 30.056 .086 61.2 62.7 61.1 64.2 60.1 .407 27 .110 .065 .087 60.2 60.7 60.7 61.3 58.9 -388 28 .136 .091 .085 59.3 60.7 59.5 62.3 58.9 -385 29 .014 29.981 .019 60.5 62.5 61.5 65.3 58.1 414 30 .007 .981 .030 55-3 64.4 57-7 65.7 54.1 -349 31 .odo 30.027 .061 55-7 63.7 60.1 63.7 5+.9 .361"

Then after that: "**MANNKORY ZAZR8 K 32 NN 2 M00 3 22 22 8 8 23 3.8 Lunar Corom, Dew. 1 8 00 00 00 29 2 0.8 Haze. 8 13 6 10 0.7 Ilaze. I 12 15 7 1 I 3 1.9 Huze. 1 10 20 2,2 Dow. A 10 9 7-7 Fog, Haze. 31 31 9.9 57 10 13 10.0 ++ 72 77 70 73 66 74 78 78 ON It 17 7 17 10 22 8 10 8 17 16 25 10 13 9 7 17 IO 20 7 15 8 10 7 20 74 7 27 8 19 14 10 16 68 31 4 1 8 71 30 2 10 16 00 00 00 0 0.00 NNÄ 1 NO I 1 10.0 Haze, 12 10.0 Haze. 8 16 9-7 0.050 9 16 4.4 ]] 9 0.9 15 7.9 Ilaze. 8.8 7 9.5 9 9.7 7.7 Haze. 6 9 7-7 Ilaze. - Sums. Menus 30.076 30.038 30.064 59.3 66.6 62.3 67.9 57.9 0.348 бо 5.9 9.6 | 9.5|11.7 7.4 9.8 4-5 0.050 In reducing the Barometer to gravity at latitude 45" a constant correction of −0·055 inch has been applied. ( Zb 13 )"

The latter part seems to be a summary and remarks. The "Sums. Menus" likely "Sums. Means". Then the note about barometer correction.

Given the complexity, I think the best approach is to produce a Markdown table with the main daily data for days 1-31, using the columns that are discernible. However, the OCR for days 1-13 is jumbled. But we have days 14-31 relatively clear. For days 1-13, the data is intermingled. But maybe the first part includes days 1-13 but without day numbers. Let's see: The first token is "I" (day 1). Then after many numbers, we see "16 TAND 32 ..." then later "14 .085 ..." So day 14 appears. Days 2-13 might be missing day numbers. But the pattern: each day has 3 barometer readings, 3 temperatures, max, min, then maybe vapour tension, humidity, wind, cloud, rainfall, remarks.

Let's count values for day 14: "14 .085 .044 ,091 63.7 71.8 64.4 72.6 59.1 .278 42 15 .159 .112 .135 53.7 64.5 60.9 66.0 53.3 .256 49 16 .132 .066 .00+ 55.1 65.7 59.8 66.9 53.8 .276 52 17 .053 .009 .034 56.4 64.8 59.9 66.3 56.2 .383 70 18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45 20 30.006 -995 .053 63.0 66.6 62.6 67.6 61.7 .341 21 .070 .931 .052 62.6 66.1 63.3 67.1 61.6 -430 22 .053 30.002 .015 63.0 64-7 62.7 65.7 61.3 +450 23 .000 29.942 29.955 62.7 67.4 64.5 67.9 61.0 418 24 29.934 .915 .960 64.1 66.7 63.7 68.6 63.5 .457 25 30,009 .980 30.023 64.7 71.2 64.3 71.9 63.3 .424 26 .087 30.056 .086 61.2 62.7 61.1 64.2 60.1 .407 27 .110 .065 .087 60.2 60.7 60.7 61.3 58.9 -388 28 .136 .091 .085 59.3 60.7 59.5 62.3 58.9 -385 29 .014 29.981 .019 60.5 62.5 61.5 65.3 58.1 414 30 .007 .981 .030 55-3 64.4 57-7 65.7 54.1 -349 31 .odo 30.027 .061 55-7 63.7 60.1 63.7 5+.9 .361"

Wait, this shows day 14, then 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31. But the values for day 14 are: ".085 .044 ,091 63.7 71.8 64.4 72.6 59.1 .278 42". That's 9 values? Then "15 .159 .112 .135 53.7 64.5 60.9 66.0 53.3 .256 49" 10 values? Then "16 .132 .066 .00+ 55.1 65.7 59.8 66.9 53.8 .276 52" 10 values. "17 .053 .009 .034 56.4 64.8 59.9 66.3 56.2 .383 70" 10 values. "18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45" This is messy because day 18 and 19 are merged.

Actually, the pattern changes at day 18: barometer readings become 29.980 etc. (three values). For days 14-17, the first three values are like .085, .044, .091 (maybe vapour tension?). Then temperatures: 63.7, 71.8, 64.4? Then max/min? 72.6, 59.1? Then .278 42? Then day 15 starts.

But day 18 has barometer readings 29.980, 29.943, 29.962. So maybe the table has two sections: one for vapour tension and humidity, and another for barometer and temperature? Actually the header mentions "Barometer at M.S.L. and reduced to gravity at latitude 45°. Air Temperature. Tension of Vapour. Relative Humidity." So there are separate columns for barometer, air temperature, vapour tension, relative humidity.

Thus each day might have:

  • Barometer at 3 hours (3 values)
  • Air Temperature at 3 hours (3 values)
  • Max, Min, Mean
  • Vapour Tension at 3 hours? (3 values)
  • Relative Humidity at 3 hours? (3 values)
  • Wind direction and force at 3 hours? (3 pairs)
  • Cloud amount (0-10)
  • Rainfall
  • Remarks

But the data for days 14-17 starts with vapour tension? Because the values are small (.085 etc). Then temperatures? 63.7, 71.8, 64.4? Then max/min 72.6, 59.1? Then .278 42? Could be mean vapour tension and mean humidity.

Then day 18 starts with barometer. So perhaps the table is split into two parts: first part for vapour tension and humidity, second part for barometer and temperature? But the header suggests they are side by side.

Given the time, I might not be able to perfectly reconstruct. However, the user expects a proofread text. Since the OCR is of a table, I should output a Markdown table with the data as it appears, but cleaned up.

Given the instruction: "Return the proofread text in standard Markdown". I need to output the entire document, including the header lines and the table, and the summary.

I'll structure the output as:

Station: Royal Observatory, Hongkong

Height above M.S.L. 109 ft.

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

Month of December 1916

Then a table with columns: Day, Barometer (7h, 11h, 9h?), Air Temperature (7h, 11h, 9h?), Max, Min, Mean, Vapour Tension (7h, 11h, 9h?), Relative Humidity (7h, 11h, 9h?), Wind (Dir, Vel at three times), Cloud (0-10), Rainfall, Remarks.

But I need to decide on column headers from the OCR. The OCR header includes: "Dec. Ink inx. las. → 0 + h jn, % points, m.p.. points.in.p.li. [points.| m.pl.j ing." This is too garbled.

Maybe I can use the standard column names from similar historical records. I'll search my memory: The Hong Kong Observatory "Meteorological Results, 1916" table for December has columns:

Day | Barometer (3 observations) | Temperature (3 observations) | Max | Min | Mean | Vapour Pressure (3 obs) | Relative Humidity (3 obs) | Wind (Dir, Force at 3 obs) | Cloud (0-10) | Rainfall | Remarks

But the OCR shows "Dir. Vei. Dir. Vel. Dir. Vel. (0-10.)" so three wind observations.

Given the data for day 18-31, we have barometer, temperature, then something else. Let's parse day 18 clearly:

"18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45"

This is confusing. It might be two lines: day 18 and day 19. Let's split at day numbers.

I'll write a quick mental parser: The string contains day numbers 1, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31. Days 2-13 are missing. But the first part after "I" might contain days 2-13 but without day numbers. However, the first part is very long.

Given the difficulty, perhaps the best is to present the data as a cleaned-up version of the OCR text, preserving the table structure as much as possible, but not inventing missing data. The instruction: "Preserve original content — do not add or remove substantive words. Do not rephrase, rewrite, or change the author's style, tone, or word choice. Only correct what is clearly wrong."

Thus I should correct obvious OCR errors (like "Huze" -> "Haze", "Ilaze" -> "Haze", "Dow" -> "Dew", "Corom" -> "Corona"? "Lunar Corom" -> "Lunar Corona"?), fix numbers (e.g., "55-3" -> "55.3", "73-9" -> "73.9", "5+.9" -> "55.9"?), fix punctuation, and format as a table.

But the table is not clearly delimited. I could output the data as a pre-formatted text? But the instruction says to use Markdown table syntax for tabular data.

Given the complexity, I might output the header information as paragraphs, then a table for the daily data (days 1-31) with the columns I can infer, and then the summary.

But I need to make a decision. Since this is a proofreading task, I'll assume the OCR text represents a single table with rows for each day. I'll attempt to reconstruct rows by splitting at day numbers.

Let's extract all day numbers from the data string. The data string starts with "I 30.225 ..." then later "14 .085 ... 15 .159 ... 16 .132 ... 17 .053 ... 18 29.980 ... 19 .981 ... 20 30.006 ... 21 .070 ... 22 .053 ... 23 .000 ... 24 29.934 ... 25 30,009 ... 26 .087 ... 27 .110 ... 28 .136 ... 29 .014 ... 30 .007 ... 31 .odo ..."

Also there is "16 TAND 32" which might be day 16? But day 16 appears later. "TAND" might be "NNE"? Wind direction.

The first part "I 30.225 30.159 30.182 53.0 62.1 58.7 63.0 50.4 0,167 35 3 15 .193 .178 .182 53.7 62.7 57.6 65.2 52.6 .186 16 TAND 32 1 10 1.5 37 9 9 0.2 3 .162 .125 .154. 53.9 65-7 62.3 68.4 52.8 .185 34 32 32 7 31 6 0.1 .118 .061 .086 56.7 70.1 61.9 22 70.5 55-4 .257 44 9 Haze. .044 29.988 60.0 71.9 64.5 72.3 58.1 .317 52 8 3 17 2 8 11 4-3 Haze. .010 .969 .000 62.7 71.8 65.4 73-5 61.5 -454 69 10 12 7 2.8 Haze. .035 30.024 .082 64.8 71.8 66.2 72.8 63.5 .504 75 .100 .069 113 64.7 73-7 62.7 76.4 60.0 -334 50 9 .148 .100 .106 55.2 64.7 62.3 67.3 55.0 .289 52 INN 7 10 19 9 3.4 Huzo. 2 2 10 130 .077 .097 52.8 64.8 61.0 67.2 52.4 .253 48 32 .099 .081 .107 54-4 65.2 59-5 66.6 53.8 .307 59 12 .090 .078 .063 56.5 62.2 61,8 62.9 54-9 .376 71 13 .087 .054 .049 61.7 71.8 65.7 72.6 61.6 ·416 65 16 in the ino 5 2+ ++ 7 2 5 1.5 Huze. 5 1 1.0 Haze. I 5 0.4 ** 27 2 1.8 Huze."

This seems to contain data for days 1 to 13? But day numbers only "I" (1) and then "16" appears twice? "16 TAND" and later "16 in the ino". Also "12 .090" and "13 .087". So maybe days 12 and 13 are there. Day 2-11 missing.

Given the time constraints, I will produce a Markdown document that includes the header information, then a table for days 1-31 with the data that can be parsed, but I will note that days 2-13 are not clearly separated in the OCR. However, the instruction says not to add commentary. So I should just output the corrected text as best as possible.

Perhaps the best is to output the entire text as a cleaned-up version, with the table represented in Markdown using the original column headers as they appear in the OCR, but corrected.

Let me try to reconstruct the header row from the OCR header lines.

The header lines:

"Station: Royal Observatory, Hongkong.

Height above M.S.L. 109 ft.

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

Air Temperature.

1916.

Month of December.

Tension of Vapour.

Relative Humidity.

Wind. Direction and Force.

Amount of Cloud.

Long. 7 36 418 E.

Lat. 22° 18′ 13′2′′ N.

Rainfall.

Remarks.

1916.

7h, 11h, 1h, 9h?

Max. Min. Daily Means.

Daily 7h, 1h, 9h Means.

Dir. Vel. Dir. Vel. Dir. Vel. (0-10.)

Dec.

Inches?

..."

I'll create a table with the following columns based on typical layout:

Day Barometer (7h) Barometer (11h) Barometer (9h) Temp (7h) Temp (11h) Temp (9h) Max Temp Min Temp Mean Temp Vapour Tension (7h) Vapour Tension (11h) Vapour Tension (9h) Rel Hum (7h) Rel Hum (11h) Rel Hum (9h) Wind Dir (7h) Wind Vel (7h) Wind Dir (11h) Wind Vel (11h) Wind Dir (9h) Wind Vel (9h) Cloud (0-10) Rainfall (in) Remarks

But that's too many columns. The OCR shows "Dir. Vei. Dir. Vel. Dir. Vel. (0-10.)" so three wind observations. Cloud amount (0-10). Rainfall. Remarks.

Given the data for day 18-31, we have about 20 values per day. Let's count for day 20: "20 30.006 -995 .053 63.0 66.6 62.6 67.6 61.7 .341" that's 10 values. Then day 21: "21 .070 .931 .052 62.6 66.1 63.3 67.1 61.6 -430" 10 values. Day 22: "22 .053 30.002 .015 63.0 64-7 62.7 65.7 61.3 +450" 10 values. Day 23: "23 .000 29.942 29.955 62.7 67.4 64.5 67.9 61.0 418" 10 values. Day 24: "24 29.934 .915 .960 64.1 66.7 63.7 68.6 63.5 .457" 10 values. Day 25: "25 30,009 .980 30.023 64.7 71.2 64.3 71.9 63.3 .424" 10 values. Day 26: "26 .087 30.056 .086 61.2 62.7 61.1 64.2 60.1 .407" 10 values. Day 27: "27 .110 .065 .087 60.2 60.7 60.7 61.3 58.9 -388" 10 values. Day 28: "28 .136 .091 .085 59.3 60.7 59.5 62.3 58.9 -385" 10 values. Day 29: "29 .014 29.981 .019 60.5 62.5 61.5 65.3 58.1 414" 10 values. Day 30: "30 .007 .981 .030 55-3 64.4 57-7 65.7 54.1 -349" 10 values. Day 31: "31 .odo 30.027 .061 55-7 63.7 60.1 63.7 5+.9 .361" 10 values.

So each day from 18-31 has 10 values after the day number. The first three are barometer readings (around 30 or 29). The next three are temperatures (around 55-73). Then two values: max and min? Actually day 20: 63.0, 66.6, 62.6, 67.6, 61.7 -> that's five temperatures? Wait: 63.0, 66.6, 62.6, 67.6, 61.7. That's five numbers. But we expected three observation temps, max, min. That's five. Then .341 is vapour tension? Then missing humidity, wind, cloud, rainfall, remarks.

But the data for day 20 ends at .341. Then day 21 starts. So maybe the table only includes barometer, temperature, max, min, and vapour tension? But the header includes more.

Look at day 18: "18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45". This is longer. It seems day 18 and 19 are merged. Let's separate: Day 18: 29.980, 29.943, 29.962, 60.1, 73.7, then maybe max/min? But then "19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45". That's day 19.

So day 18 has only 5 values? 29.980, 29.943, 29.962, 60.1, 73.7. That's 5. Then day 19 has many.

This is too messy. Given the difficulty, I think the appropriate response is to output the text as a cleaned-up version of the OCR, preserving the table structure by using a Markdown table with the columns as they appear in the original header, and filling in the data as rows for each day, but only for days where data is clear (14-31). For days 1-13, the data is garbled; I could include the raw corrected numbers as a single row? But that would be inaccurate.

Given the instruction: "If the OCR already separates paragraphs with blank lines, keep those separations. If the OCR has lost paragraph breaks, restore them based on content." The OCR text provided is a single block. There are no blank lines. So I need to restore paragraphs. The content has a header paragraph, then a table, then a summary paragraph.

I will output:

  • Header lines as paragraphs.
  • Then a Markdown table for the daily observations. I'll define columns based on the header: "Day", "Barometer at 7h", "Barometer at 11h", "Barometer at 9h", "Temperature at 7h", "Temperature at 11h", "Temperature at 9h", "Max Temp", "Min Temp", "Mean Temp", "Vapour Tension at 7h", "Vapour Tension at 11h", "Vapour Tension at 9h", "Relative Humidity at 7h", "Relative Humidity at 11h", "Relative Humidity at 9h", "Wind Direction at 7h", "Wind Velocity at 7h", "Wind Direction at 11h", "Wind Velocity at 11h", "Wind Direction at 9h", "Wind Velocity at 9h", "Cloud Amount (0-10)", "Rainfall (in)", "Remarks".

But that's 25 columns. The data doesn't have that many. The OCR header mentions "Dir. Vei. Dir. Vel. Dir. Vel. (0-10.)" which is 6 wind columns + cloud. So maybe 3 wind observations (dir, vel) each.

Given the data for day 14-17, they have 9 values: three vapour tensions, three temperatures, max, min, mean vapour tension? and mean humidity? Then day 18-31 have 10 values: three barometer, three temperatures, max, min, mean vapour tension? and something else.

I think the table might be split into two sub-tables: one for vapour tension and humidity, one for barometer and temperature. But the OCR shows them interleaved.

Given the time, I will produce a simplified table with the data that is clearly parseable for days 14-31, and for days 1-13 I'll put the garbled data as a single row with note? But the instruction says not to add commentary.

Maybe I can output the entire data as a pre-formatted code block? But the instruction says "Do not wrap your response in code fences." And "Use Markdown table syntax to reconstruct tabular data."

I'll attempt to reconstruct a table with the columns that appear in the summary: "Sums. Means 30.076 30.038 30.064 59.3 66.6 62.3 67.9 57.9 0.348 5.9 9.6 9.5 11.7 7.4 9.8 4.5 0.050". This suggests 17 mean values? The summary line: "Sums. Means 30.076 30.038 30.064 59.3 66.6 62.3 67.9 57.9 0.348 бо 5.9 9.6 | 9.5|11.7 7.4 9.8 4-5 0.050". This might be the monthly means for each column.

Thus there are 17 columns? Let's count: 30.076, 30.038, 30.064 (3 barometer means), 59.3, 66.6, 62.3 (3 temperature means?), 67.9, 57.9 (max, min?), 0.348 (vapour tension mean?), 5.9, 9.6, 9.5, 11.7, 7.4, 9.8 (wind? cloud?), 4.5, 0.050 (rainfall?).

That's 3+3+2+1+6+2 = 17. So maybe 17 columns.

Given the difficulty, I will output the text as a series of paragraphs and a table with the daily data for days 1-31 as rows, using the columns: Day, Bar1, Bar2, Bar3, Temp1, Temp2, Temp3, Max, Min, Vapour1, Vapour2, Vapour3, Hum1, Hum2, Hum3, WindDir1, WindVel1, WindDir2, WindVel2, WindDir3, WindVel3, Cloud, Rainfall, Remarks. But I'll only fill what's available.

Given the time, I'll produce a Markdown document with the header, then a table for days 1-31 with the data I can parse from the OCR for days 14-31, and for days 1-13 I'll leave blank or put the garbled data in a single cell? That would violate "preserve original content".

Perhaps the best is to output the entire OCR text corrected for obvious errors, but not as a table, because the table structure is lost. But the instruction says to reconstruct tables.

I'll compromise: I'll output the header as paragraphs, then a table with the daily data as it appears in the OCR for days 14-31 (since they are clearer), and then the summary. For days 1-13, I'll include a row with the data from the first part, but it's messy.

Let's parse the first part for day 1: "I 30.225 30.159 30.182 53.0 62.1 58.7 63.0 50.4 0,167 35 3 15 * .193 .178 .182 53.7 62.7 57.6 65.2 52.6 .186 16 TAND 32 1 10 1.5 37 9 9 0.2 3 .162 .125 .154. 53.9 65-7 62.3 68.4 52.8 .185 34 32 32 7 31 6 0.1 .118 .061 .086 56.7 70.1 61.9 22 70.5 55-4 .257 44 9 Haze. .044 29.988 60.0 71.9 64.5 72.3 58.1 .317 52 8 3 17 2 8 11 4-3 Haze. .010 .969 .000 62.7 71.8 65.4 73-5 61.5 -454 69 10 12 7 2.8 Haze. .035 30.024 .082 64.8 71.8 66.2 72.8 63.5

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2026-07-12 09:29:47 · NVIDIA / nvidia/nemotron-3-ultra-550b-a55b
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The user wants me to proofread OCR output of a historical meteorological record from the Royal Observatory, Hong Kong, for December 1916. The text is a table with daily observations. I need to reconstruct the Markdown table, fix OCR errors, preserve structure, and output only Markdown. First, I need to understand the table structure. The header lines are messy. Let me parse the original OCR text. The first lines: "Station: Royal Observatory, Hongkong. Height above M.S.L. 109 ft. Barometer at M.S.L. and Day. I reduced to gravity at latitude 45°. Air Temperature. 1916. Month of December. Tension of Vapour. Relative Humidity. Wind. Direction and Fores. Amount of Cloud. 1. Long. 7 36 418 E. Lat. 22° 18′ 13′2′′ N. Rainfall. Remarks. 1916. 7 11. IP. 9 p. 7 I p. ջ 9 թ. Max. Min. Daily Daily Means. Means, Daily 7 ն. 1 P. 9 P. Means. Dir. Vei. Dir. Vel. Dir. Vel. (0-10.) Dec. Ink inx. las. → 0 + h jn, % points, m.p.. points.in.p.li. [points.| m.pl.j ing." This is a header for a meteorological table. The columns seem to be: Day (Dec) Barometer readings at 7h, 11h, 9h? Actually "7 11. IP. 9 p." maybe 7h, 11h, 9h? Wait "7 11. IP. 9 p." could be 7h, 11h, 1h, 9h? But then "7 I p. ջ 9 թ." maybe 7h, 1h, 9h? The original likely has observations at 7h, 11h, 13h? Actually typical meteorological observations: 7h, 13h, 21h? But here it's 7, 11, 9? Let's see the data rows. The data rows start with "I 30.225 30.159 30.182 53.0 62.1 58.7 63.0 50.4 0,167 35 3 15 .193 .178 .182 53.7 62.7 57.6 65.2 52.6 .186 16 TAND 32 1 10 1.5 37 9 9 0.2 3 .162 .125 .154. 53.9 65-7 62.3 68.4 52.8 .185 34 32 32 7 31 6 0.1 .118 .061 .086 56.7 70.1 61.9 22 70.5 55-4 .257 44 9 Haze. .044 29.988 60.0 71.9 64.5 72.3 58.1 .317 52 8 3 17 2 8 11 4-3 Haze. .010 .969 .000 62.7 71.8 65.4 73-5 61.5 -454 69 10 12 7 2.8 Haze. .035 30.024 .082 64.8 71.8 66.2 72.8 63.5 .504 75 .100 .069 113 64.7 73-7 62.7 76.4 60.0 -334 50 9 .148 .100 .106 55.2 64.7 62.3 67.3 55.0 .289 52 INN 7 10 19 9 3.4 Huzo. 2 2 10 130 .077 .097 52.8 64.8 61.0 67.2 52.4 .253 48 32 .099 .081 .107 54-4 65.2 59-5 66.6 53.8 .307 59 12 .090 .078 .063 56.5 62.2 61,8 62.9 54-9 .376 71 13 .087 .054 .049 61.7 71.8 65.7 72.6 61.6 ·416 65 16 in the ino 5 2+ ++ 7 2 5 1.5 Huze. 5 1 1.0 Haze. I 5 0.4 27 2 1.8 Huze. 14 .085 .044 ,091 63.7 71.8 64.4 72.6 59.1 .278 42 15 .159 .112 .135 53.7 64.5 60.9 66.0 53.3 .256 49 16 .132 .066 .00+ 55.1 65.7 59.8 66.9 53.8 .276 52 17 .053 .009 .034 56.4 64.8 59.9 66.3 56.2 .383 70 18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45 20 30.006 -995 .053 63.0 66.6 62.6 67.6 61.7 .341 21 .070 .931 .052 62.6 66.1 63.3 67.1 61.6 -430 22 .053 30.002 .015 63.0 64-7 62.7 65.7 61.3 +450 23 .000 29.942 29.955 62.7 67.4 64.5 67.9 61.0 418 24 29.934 .915 .960 64.1 66.7 63.7 68.6 63.5 .457 25 30,009 .980 30.023 64.7 71.2 64.3 71.9 63.3 .424 26 .087 30.056 .086 61.2 62.7 61.1 64.2 60.1 .407 27 .110 .065 .087 60.2 60.7 60.7 61.3 58.9 -388 28 .136 .091 .085 59.3 60.7 59.5 62.3 58.9 -385 29 .014 29.981 .019 60.5 62.5 61.5 65.3 58.1 414 30 .007 .981 .030 55-3 64.4 57-7 65.7 54.1 -349 31 .odo 30.027 .061 55-7 63.7 60.1 63.7 5+.9 .361 MANNKORY ZAZR8 K 32 NN 2 M00 3 22 22 8 8 23 3.8 Lunar Corom, Dew. 1 8 00 00 00 29 2 0.8 Haze. 8 13 6 10 0.7 Ilaze. I 12 15 7 1 I 3 1.9 Huze. 1 10 20 2,2 Dow. A 10 9 7-7 Fog, Haze. 31 31 9.9 57 10 13 10.0 ++ 72 77 70 73 66 74 78 78 ON It 17 7 17 10 22 8 10 8 17 16 25 10 13 9 7 17 IO 20 7 15 8 10 7 20 74 7 27 8 19 14 10 16 68 31 4 1 8 71 30 2 10 16 00 00 00 0 0.00 NNÄ 1 NO I 1 10.0 Haze, 12 10.0 Haze. 8 16 9-7 0.050 9 16 4.4 ]] 9 0.9 15 7.9 Ilaze. 8.8 7 9.5 9 9.7 7.7 Haze. 6 9 7-7 Ilaze. - Sums. Menus 30.076 30.038 30.064 59.3 66.6 62.3 67.9 57.9 0.348 бо 5.9 9.6 | 9.5|11.7 7.4 9.8 4-5 0.050 In reducing the Barometer to gravity at latitude 45" a constant correction of −0·055 inch has been applied. ( Zb 13 )" This is a mess. I need to reconstruct the table. The original is likely a standard meteorological register with columns: Day of month (Dec) Barometer at 7h, 11h, 9h? Actually the header says "7 11. IP. 9 p." and "7 I p. ջ 9 թ." Might be 7h, 11h, 13h, 21h? But there are three barometer readings per day? The data shows three barometer values per day (e.g., 30.225, 30.159, 30.182). Then air temperature at same hours? Then max, min, daily means? Then tension of vapour, relative humidity, wind direction and force, cloud amount, rainfall, remarks. Let's examine the first data row: "I 30.225 30.159 30.182 53.0 62.1 58.7 63.0 50.4 0,167 35 3 15 .193 .178 .182 53.7 62.7 57.6 65.2 52.6 .186 16 TAND 32 1 10 1.5 37 9 9 0.2 3 .162 .125 .154. 53.9 65-7 62.3 68.4 52.8 .185 34 32 32 7 31 6 0.1 .118 .061 .086 56.7 70.1 61.9 22 70.5 55-4 .257 44 9 Haze. .044 29.988 60.0 71.9 64.5 72.3 58.1 .317 52 8 3 17 2 8 11 4-3 Haze. .010 .969 .000 62.7 71.8 65.4 73-5 61.5 -454 69 10 12 7 2.8 Haze. .035 30.024 .082 64.8 71.8 66.2 72.8 63.5 .504 75 .100 .069 113 64.7 73-7 62.7 76.4 60.0 -334 50 9 .148 .100 .106 55.2 64.7 62.3 67.3 55.0 .289 52 INN 7 10 19 9 3.4 Huzo. 2 2 10 130 .077 .097 52.8 64.8 61.0 67.2 52.4 .253 48 32 .099 .081 .107 54-4 65.2 59-5 66.6 53.8 .307 59 12 .090 .078 .063 56.5 62.2 61,8 62.9 54-9 .376 71 13 .087 .054 .049 61.7 71.8 65.7 72.6 61.6 ·416 65 16 in the ino 5 2+ ++ 7 2 5 1.5 Huze. 5 1 1.0 Haze. I 5 0.4 ** 27 2 1.8 Huze. 14 .085 .044 ,091 63.7 71.8 64.4 72.6 59.1 .278 42 15 .159 .112 .135 53.7 64.5 60.9 66.0 53.3 .256 49 16 .132 .066 .00+ 55.1 65.7 59.8 66.9 53.8 .276 52 17 .053 .009 .034 56.4 64.8 59.9 66.3 56.2 .383 70 18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45 20 30.006 -995 .053 63.0 66.6 62.6 67.6 61.7 .341 21 .070 .931 .052 62.6 66.1 63.3 67.1 61.6 -430 22 .053 30.002 .015 63.0 64-7 62.7 65.7 61.3 +450 23 .000 29.942 29.955 62.7 67.4 64.5 67.9 61.0 418 24 29.934 .915 .960 64.1 66.7 63.7 68.6 63.5 .457 25 30,009 .980 30.023 64.7 71.2 64.3 71.9 63.3 .424 26 .087 30.056 .086 61.2 62.7 61.1 64.2 60.1 .407 27 .110 .065 .087 60.2 60.7 60.7 61.3 58.9 -388 28 .136 .091 .085 59.3 60.7 59.5 62.3 58.9 -385 29 .014 29.981 .019 60.5 62.5 61.5 65.3 58.1 414 30 .007 .981 .030 55-3 64.4 57-7 65.7 54.1 -349 31 .odo 30.027 .061 55-7 63.7 60.1 63.7 5+.9 .361" It seems the OCR has run multiple lines together. Actually each day should be a row. The first row starts with "I" (day 1). Then three barometer readings: 30.225, 30.159, 30.182. Then three air temperatures? 53.0, 62.1, 58.7? Then max 63.0, min 50.4? Then "0,167" maybe tension of vapour? Then "35" relative humidity? Then wind direction and force: "3 15 "? Then cloud amount? Then next day? But the data continues with ".193 .178 .182 53.7 62.7 57.6 65.2 52.6 .186 16 TAND 32 1 10 1.5 37 9 9 0.2 3 .162 .125 .154. 53.9 65-7 62.3 68.4 52.8 .185 34 32 32 7 31 6 0.1 .118 .061 .086 56.7 70.1 61.9 22 70.5 55-4 .257 44 9 Haze. .044 29.988 60.0 71.9 64.5 72.3 58.1 .317 52 8 3 17 2 8 11 4-3 Haze. .010 .969 .000 62.7 71.8 65.4 73-5 61.5 -454 69 10 12 7 2.8 Haze. .035 30.024 .082 64.8 71.8 66.2 72.8 63.5 .504 75 .100 .069 113 64.7 73-7 62.7 76.4 60.0 -334 50 9 .148 .100 .106 55.2 64.7 62.3 67.3 55.0 .289 52 INN 7 10 19 9 3.4 Huzo. 2 2 10 130 .077 .097 52.8 64.8 61.0 67.2 52.4 .253 48 32 .099 .081 .107 54-4 65.2 59-5 66.6 53.8 .307 59 12 .090 .078 .063 56.5 62.2 61,8 62.9 54-9 .376 71 13 .087 .054 .049 61.7 71.8 65.7 72.6 61.6 ·416 65 16 in the ino 5 2+ ++ 7 2 5 1.5 Huze. 5 1 1.0 Haze. I 5 0.4 ** 27 2 1.8 Huze. 14 .085 .044 ,091 63.7 71.8 64.4 72.6 59.1 .278 42 15 .159 .112 .135 53.7 64.5 60.9 66.0 53.3 .256 49 16 .132 .066 .00+ 55.1 65.7 59.8 66.9 53.8 .276 52 17 .053 .009 .034 56.4 64.8 59.9 66.3 56.2 .383 70 18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45 20 30.006 -995 .053 63.0 66.6 62.6 67.6 61.7 .341 21 .070 .931 .052 62.6 66.1 63.3 67.1 61.6 -430 22 .053 30.002 .015 63.0 64-7 62.7 65.7 61.3 +450 23 .000 29.942 29.955 62.7 67.4 64.5 67.9 61.0 418 24 29.934 .915 .960 64.1 66.7 63.7 68.6 63.5 .457 25 30,009 .980 30.023 64.7 71.2 64.3 71.9 63.3 .424 26 .087 30.056 .086 61.2 62.7 61.1 64.2 60.1 .407 27 .110 .065 .087 60.2 60.7 60.7 61.3 58.9 -388 28 .136 .091 .085 59.3 60.7 59.5 62.3 58.9 -385 29 .014 29.981 .019 60.5 62.5 61.5 65.3 58.1 414 30 .007 .981 .030 55-3 64.4 57-7 65.7 54.1 -349 31 .odo 30.027 .061 55-7 63.7 60.1 63.7 5+.9 .361" This is a single line in OCR but actually multiple rows. The pattern: each day starts with a day number (1-31). But after day 1, the next day number appears at "14"? Actually "14 .085 .044 ,091 63.7 71.8 64.4 72.6 59.1 .278 42 15 .159 .112 .135 53.7 64.5 60.9 66.0 53.3 .256 49 16 .132 .066 .00+ 55.1 65.7 59.8 66.9 53.8 .276 52 17 .053 .009 .034 56.4 64.8 59.9 66.3 56.2 .383 70 18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45 20 30.006 -995 .053 63.0 66.6 62.6 67.6 61.7 .341 21 .070 .931 .052 62.6 66.1 63.3 67.1 61.6 -430 22 .053 30.002 .015 63.0 64-7 62.7 65.7 61.3 +450 23 .000 29.942 29.955 62.7 67.4 64.5 67.9 61.0 418 24 29.934 .915 .960 64.1 66.7 63.7 68.6 63.5 .457 25 30,009 .980 30.023 64.7 71.2 64.3 71.9 63.3 .424 26 .087 30.056 .086 61.2 62.7 61.1 64.2 60.1 .407 27 .110 .065 .087 60.2 60.7 60.7 61.3 58.9 -388 28 .136 .091 .085 59.3 60.7 59.5 62.3 58.9 -385 29 .014 29.981 .019 60.5 62.5 61.5 65.3 58.1 414 30 .007 .981 .030 55-3 64.4 57-7 65.7 54.1 -349 31 .odo 30.027 .061 55-7 63.7 60.1 63.7 5+.9 .361" So days 14-31 are there. But days 2-13 are missing? Actually the first line includes day 1 and then maybe day 2? Let's see: after day 1 data, we see ".193 .178 .182 53.7 62.7 57.6 65.2 52.6 .186 16 TAND 32 1 10 1.5 37 9 9 0.2 3 .162 .125 .154. 53.9 65-7 62.3 68.4 52.8 .185 34 32 32 7 31 6 0.1 .118 .061 .086 56.7 70.1 61.9 22 70.5 55-4 .257 44 9 Haze. .044 29.988 60.0 71.9 64.5 72.3 58.1 .317 52 8 3 17 2 8 11 4-3 Haze. .010 .969 .000 62.7 71.8 65.4 73-5 61.5 -454 69 10 12 7 2.8 Haze. .035 30.024 .082 64.8 71.8 66.2 72.8 63.5 .504 75 .100 .069 113 64.7 73-7 62.7 76.4 60.0 -334 50 9 .148 .100 .106 55.2 64.7 62.3 67.3 55.0 .289 52 INN 7 10 19 9 3.4 Huzo. 2 2 10 130 .077 .097 52.8 64.8 61.0 67.2 52.4 .253 48 32 .099 .081 .107 54-4 65.2 59-5 66.6 53.8 .307 59 12 .090 .078 .063 56.5 62.2 61,8 62.9 54-9 .376 71 13 .087 .054 .049 61.7 71.8 65.7 72.6 61.6 ·416 65 16 in the ino 5 2+ ++ 7 2 5 1.5 Huze. 5 1 1.0 Haze. I 5 0.4 *** 27 2 1.8 Huze." This looks like multiple days concatenated. The day numbers might be missing. Let's try to parse by looking for patterns: Barometer readings are around 30.xxx or 29.xxx. Air temperatures around 50-70. Tension of vapour around 0.xxx. Relative humidity 30-80. Wind direction and force: numbers like 32, 1, 10, 1.5 etc. Cloud amount 0-10. Rainfall maybe inches. Remarks like "Haze.", "Fog, Haze.", "Dew.", "Lunar Corom,". The OCR has lost line breaks. I need to reconstruct rows for each day 1-31. The table likely has columns: Day Barometer at 7h (inches) Barometer at 11h? or 13h? Actually header: "7 11. IP. 9 p." Could be 7h, 11h, 13h, 21h? But there are three barometer readings per day in data (e.g., 30.225, 30.159, 30.182). So maybe three observation times: 7h, 13h, 21h? But header says "7 11. IP. 9 p." Might be 7h, 11h, 1h, 9h? That's four. But we have three values. Let's check day 18: "29.980 29.943 29.962" three values. Day 19: ".981 -956 30.000" three values. So three barometer readings per day. Similarly, air temperature: three values? Day 1: "53.0 62.1 58.7" then "63.0 50.4" maybe max and min. So three temps at observation times, then max, min. Then "Daily Means" maybe mean of three? Then "Tension of Vapour" three values? Day 1: "0,167 35 3 15 *"? Not sure. Let's look at the header again: "Barometer at M.S.L. and reduced to gravity at latitude 45°. Air Temperature. 1916. Month of December. Tension of Vapour. Relative Humidity. Wind. Direction and Fores. Amount of Cloud. 1. Long. 7 36 418 E. Lat. 22° 18′ 13′2′′ N. Rainfall. Remarks. 1916. 7 11. IP. 9 p. 7 I p. ջ 9 թ. Max. Min. Daily Daily Means. Means, Daily 7 ն. 1 P. 9 P. Means. Dir. Vei. Dir. Vel. Dir. Vel. (0-10.) Dec. Ink inx. las. → 0 + h jn, % points, m.p.. points.in.p.li. [points.| m.pl.j ing." This is garbled. But we can infer standard columns for Hong Kong Observatory records. I recall that the Hong Kong Observatory published "Meteorological Results" with tables for each month. The table typically includes: Day Barometer (mean of 3 observations? or three separate) Temperature (dry bulb) at 3 hours Max, Min, Mean Humidity (vapour pressure, relative humidity) Wind (direction, force) Cloud amount Rainfall Remarks Given the OCR, I need to produce a Markdown table that represents the data as best as possible. Since the OCR is messy, I might need to reconstruct each day's row by parsing the numbers sequentially. But the user expects me to proofread the OCR output, not to re-create the entire table from scratch if it's too garbled. However, the instruction says: "Reconstruct Sentences and Paragraphs" and "Tables — if data is clearly in table format, reconstruct the table using Markdown table syntax." Thus I must produce a Markdown table. I need to decide on column headers based on the original header. Let me try to parse the header more carefully. The first lines: "Station: Royal Observatory, Hongkong. Height above M.S.L. 109 ft. Barometer at M.S.L. and Day. I reduced to gravity at latitude 45°. Air Temperature. 1916. Month of December. Tension of Vapour. Relative Humidity. Wind. Direction and Fores. Amount of Cloud. 1. Long. 7 36 418 E. Lat. 22° 18′ 13′2′′ N. Rainfall. Remarks. 1916. 7 11. IP. 9 p. 7 I p. ջ 9 թ. Max. Min. Daily Daily Means. Means, Daily 7 ն. 1 P. 9 P. Means. Dir. Vei. Dir. Vel. Dir. Vel. (0-10.) Dec. Ink inx. las. → 0 + h jn, % points, m.p.. points.in.p.li. [points.| m.pl.j ing." This appears to be a multi-line header. The "Day. I" might be "Day" column. "Barometer at M.S.L. and reduced to gravity at latitude 45°." Then "Air Temperature." Then "Tension of Vapour." "Relative Humidity." "Wind. Direction and Force." "Amount of Cloud." "Rainfall." "Remarks." Then observation times: "7 11. IP. 9 p." maybe "7h, 11h, 13h, 21h"? But "IP." could be "1 p.m."? "9 p." is 9 p.m. "7 I p." maybe "7 a.m., 1 p.m."? "ջ 9 թ." is Armenian letters? Might be OCR garbage for "7h, 9h"? Actually "ջ" is Armenian letter, "թ" also. Could be "7h, 9h"? Not sure. Then "Max. Min. Daily Daily Means. Means, Daily 7 ն. 1 P. 9 P. Means." This suggests columns for Max, Min, Daily Means, and then means at 7h, 1h, 9h? But we have three barometer readings, three temperature readings. "Dir. Vei. Dir. Vel. Dir. Vel. (0-10.)" Wind direction and velocity at three times? And cloud amount (0-10). "Dec." likely day of December. "Ink inx. las." maybe "Inches"? "→ 0 + h jn, % points, m.p.. points.in.p.li. [points.| m.pl.j ing." Garbled. Given the difficulty, I might need to produce a table with the columns as they appear in the data. Since the data for each day seems to have a fixed number of values, I can count. Let's take day 18 as example: "18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45" Wait, day 18 appears twice? Actually the text: "18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45". This might be day 18 and day 19 combined. Day 18: 29.980, 29.943, 29.962, 60.1, 73.7, then maybe max/min? But then "19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45" is day 19. So each day starts with day number. Let's split by day numbers 1-31. I'll write a script mentally to parse. But as a language model, I can manually parse. Let's list the entire data string after the header. The OCR text after "ing." is the data. I'll copy the data part: "I 30.225 30.159 30.182 53.0 62.1 58.7 63.0 50.4 0,167 35 3 15 .193 .178 .182 53.7 62.7 57.6 65.2 52.6 .186 16 TAND 32 1 10 1.5 37 9 9 0.2 3 .162 .125 .154. 53.9 65-7 62.3 68.4 52.8 .185 34 32 32 7 31 6 0.1 .118 .061 .086 56.7 70.1 61.9 22 70.5 55-4 .257 44 9 Haze. .044 29.988 60.0 71.9 64.5 72.3 58.1 .317 52 8 3 17 2 8 11 4-3 Haze. .010 .969 .000 62.7 71.8 65.4 73-5 61.5 -454 69 10 12 7 2.8 Haze. .035 30.024 .082 64.8 71.8 66.2 72.8 63.5 .504 75 .100 .069 113 64.7 73-7 62.7 76.4 60.0 -334 50 9 .148 .100 .106 55.2 64.7 62.3 67.3 55.0 .289 52 INN 7 10 19 9 3.4 Huzo. 2 2 10 130 .077 .097 52.8 64.8 61.0 67.2 52.4 .253 48 32 .099 .081 .107 54-4 65.2 59-5 66.6 53.8 .307 59 12 .090 .078 .063 56.5 62.2 61,8 62.9 54-9 .376 71 13 .087 .054 .049 61.7 71.8 65.7 72.6 61.6 ·416 65 16 in the ino 5 2+ ++ 7 2 5 1.5 Huze. 5 1 1.0 Haze. I 5 0.4 ** 27 2 1.8 Huze. 14 .085 .044 ,091 63.7 71.8 64.4 72.6 59.1 .278 42 15 .159 .112 .135 53.7 64.5 60.9 66.0 53.3 .256 49 16 .132 .066 .00+ 55.1 65.7 59.8 66.9 53.8 .276 52 17 .053 .009 .034 56.4 64.8 59.9 66.3 56.2 .383 70 18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45 20 30.006 -995 .053 63.0 66.6 62.6 67.6 61.7 .341 21 .070 .931 .052 62.6 66.1 63.3 67.1 61.6 -430 22 .053 30.002 .015 63.0 64-7 62.7 65.7 61.3 +450 23 .000 29.942 29.955 62.7 67.4 64.5 67.9 61.0 418 24 29.934 .915 .960 64.1 66.7 63.7 68.6 63.5 .457 25 30,009 .980 30.023 64.7 71.2 64.3 71.9 63.3 .424 26 .087 30.056 .086 61.2 62.7 61.1 64.2 60.1 .407 27 .110 .065 .087 60.2 60.7 60.7 61.3 58.9 -388 28 .136 .091 .085 59.3 60.7 59.5 62.3 58.9 -385 29 .014 29.981 .019 60.5 62.5 61.5 65.3 58.1 414 30 .007 .981 .030 55-3 64.4 57-7 65.7 54.1 -349 31 .odo 30.027 .061 55-7 63.7 60.1 63.7 5+.9 .361" Then after that: "**MANNKORY ZAZR8 K 32 NN 2 M00 3 22 22 8 8 23 3.8 Lunar Corom, Dew. 1 8 00 00 00 29 2 0.8 Haze. 8 13 6 10 0.7 Ilaze. I 12 15 7 1 I 3 1.9 Huze. 1 10 20 2,2 Dow. A 10 9 7-7 Fog, Haze. 31 31 9.9 57 10 13 10.0 ++ 72 77 70 73 66 74 78 78 ON It 17 7 17 10 22 8 10 8 17 16 25 10 13 9 7 17 IO 20 7 15 8 10 7 20 74 7 27 8 19 14 10 16 68 31 4 1 8 71 30 2 10 16 00 00 00 0 0.00 NNÄ 1 NO I 1 10.0 Haze, 12 10.0 Haze. 8 16 9-7 0.050 9 16 4.4 ]] 9 0.9 15 7.9 Ilaze. 8.8 7 9.5 9 9.7 7.7 Haze. 6 9 7-7 Ilaze. - Sums. Menus 30.076 30.038 30.064 59.3 66.6 62.3 67.9 57.9 0.348 бо 5.9 9.6 | 9.5|11.7 7.4 9.8 4-5 0.050 In reducing the Barometer to gravity at latitude 45" a constant correction of −0·055 inch has been applied. ( Zb 13 )" The latter part seems to be a summary and remarks. The "Sums. Menus" likely "Sums. Means". Then the note about barometer correction. Given the complexity, I think the best approach is to produce a Markdown table with the main daily data for days 1-31, using the columns that are discernible. However, the OCR for days 1-13 is jumbled. But we have days 14-31 relatively clear. For days 1-13, the data is intermingled. But maybe the first part includes days 1-13 but without day numbers. Let's see: The first token is "I" (day 1). Then after many numbers, we see "16 TAND 32 ..." then later "14 .085 ..." So day 14 appears. Days 2-13 might be missing day numbers. But the pattern: each day has 3 barometer readings, 3 temperatures, max, min, then maybe vapour tension, humidity, wind, cloud, rainfall, remarks. Let's count values for day 14: "14 .085 .044 ,091 63.7 71.8 64.4 72.6 59.1 .278 42 15 .159 .112 .135 53.7 64.5 60.9 66.0 53.3 .256 49 16 .132 .066 .00+ 55.1 65.7 59.8 66.9 53.8 .276 52 17 .053 .009 .034 56.4 64.8 59.9 66.3 56.2 .383 70 18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45 20 30.006 -995 .053 63.0 66.6 62.6 67.6 61.7 .341 21 .070 .931 .052 62.6 66.1 63.3 67.1 61.6 -430 22 .053 30.002 .015 63.0 64-7 62.7 65.7 61.3 +450 23 .000 29.942 29.955 62.7 67.4 64.5 67.9 61.0 418 24 29.934 .915 .960 64.1 66.7 63.7 68.6 63.5 .457 25 30,009 .980 30.023 64.7 71.2 64.3 71.9 63.3 .424 26 .087 30.056 .086 61.2 62.7 61.1 64.2 60.1 .407 27 .110 .065 .087 60.2 60.7 60.7 61.3 58.9 -388 28 .136 .091 .085 59.3 60.7 59.5 62.3 58.9 -385 29 .014 29.981 .019 60.5 62.5 61.5 65.3 58.1 414 30 .007 .981 .030 55-3 64.4 57-7 65.7 54.1 -349 31 .odo 30.027 .061 55-7 63.7 60.1 63.7 5+.9 .361" Wait, this shows day 14, then 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31. But the values for day 14 are: ".085 .044 ,091 63.7 71.8 64.4 72.6 59.1 .278 42". That's 9 values? Then "15 .159 .112 .135 53.7 64.5 60.9 66.0 53.3 .256 49" 10 values? Then "16 .132 .066 .00+ 55.1 65.7 59.8 66.9 53.8 .276 52" 10 values. "17 .053 .009 .034 56.4 64.8 59.9 66.3 56.2 .383 70" 10 values. "18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45" This is messy because day 18 and 19 are merged. Actually, the pattern changes at day 18: barometer readings become 29.980 etc. (three values). For days 14-17, the first three values are like .085, .044, .091 (maybe vapour tension?). Then temperatures: 63.7, 71.8, 64.4? Then max/min? 72.6, 59.1? Then .278 42? Then day 15 starts. But day 18 has barometer readings 29.980, 29.943, 29.962. So maybe the table has two sections: one for vapour tension and humidity, and another for barometer and temperature? Actually the header mentions "Barometer at M.S.L. and reduced to gravity at latitude 45°. Air Temperature. Tension of Vapour. Relative Humidity." So there are separate columns for barometer, air temperature, vapour tension, relative humidity. Thus each day might have: Barometer at 3 hours (3 values) Air Temperature at 3 hours (3 values) Max, Min, Mean Vapour Tension at 3 hours? (3 values) Relative Humidity at 3 hours? (3 values) Wind direction and force at 3 hours? (3 pairs) Cloud amount (0-10) Rainfall Remarks But the data for days 14-17 starts with vapour tension? Because the values are small (.085 etc). Then temperatures? 63.7, 71.8, 64.4? Then max/min 72.6, 59.1? Then .278 42? Could be mean vapour tension and mean humidity. Then day 18 starts with barometer. So perhaps the table is split into two parts: first part for vapour tension and humidity, second part for barometer and temperature? But the header suggests they are side by side. Given the time, I might not be able to perfectly reconstruct. However, the user expects a proofread text. Since the OCR is of a table, I should output a Markdown table with the data as it appears, but cleaned up. Given the instruction: "Return the proofread text in standard Markdown". I need to output the entire document, including the header lines and the table, and the summary. I'll structure the output as: Station: Royal Observatory, Hongkong Height above M.S.L. 109 ft. Barometer at M.S.L. and reduced to gravity at latitude 45°. Month of December 1916 Then a table with columns: Day, Barometer (7h, 11h, 9h?), Air Temperature (7h, 11h, 9h?), Max, Min, Mean, Vapour Tension (7h, 11h, 9h?), Relative Humidity (7h, 11h, 9h?), Wind (Dir, Vel at three times), Cloud (0-10), Rainfall, Remarks. But I need to decide on column headers from the OCR. The OCR header includes: "Dec. Ink inx. las. → 0 + h jn, % points, m.p.. points.in.p.li. [points.| m.pl.j ing." This is too garbled. Maybe I can use the standard column names from similar historical records. I'll search my memory: The Hong Kong Observatory "Meteorological Results, 1916" table for December has columns: Day | Barometer (3 observations) | Temperature (3 observations) | Max | Min | Mean | Vapour Pressure (3 obs) | Relative Humidity (3 obs) | Wind (Dir, Force at 3 obs) | Cloud (0-10) | Rainfall | Remarks But the OCR shows "Dir. Vei. Dir. Vel. Dir. Vel. (0-10.)" so three wind observations. Given the data for day 18-31, we have barometer, temperature, then something else. Let's parse day 18 clearly: "18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45" This is confusing. It might be two lines: day 18 and day 19. Let's split at day numbers. I'll write a quick mental parser: The string contains day numbers 1, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31. Days 2-13 are missing. But the first part after "I" might contain days 2-13 but without day numbers. However, the first part is very long. Given the difficulty, perhaps the best is to present the data as a cleaned-up version of the OCR text, preserving the table structure as much as possible, but not inventing missing data. The instruction: "Preserve original content — do not add or remove substantive words. Do not rephrase, rewrite, or change the author's style, tone, or word choice. Only correct what is clearly wrong." Thus I should correct obvious OCR errors (like "Huze" -> "Haze", "Ilaze" -> "Haze", "Dow" -> "Dew", "Corom" -> "Corona"? "Lunar Corom" -> "Lunar Corona"?), fix numbers (e.g., "55-3" -> "55.3", "73-9" -> "73.9", "5+.9" -> "55.9"?), fix punctuation, and format as a table. But the table is not clearly delimited. I could output the data as a pre-formatted text? But the instruction says to use Markdown table syntax for tabular data. Given the complexity, I might output the header information as paragraphs, then a table for the daily data (days 1-31) with the columns I can infer, and then the summary. But I need to make a decision. Since this is a proofreading task, I'll assume the OCR text represents a single table with rows for each day. I'll attempt to reconstruct rows by splitting at day numbers. Let's extract all day numbers from the data string. The data string starts with "I 30.225 ..." then later "14 .085 ... 15 .159 ... 16 .132 ... 17 .053 ... 18 29.980 ... 19 .981 ... 20 30.006 ... 21 .070 ... 22 .053 ... 23 .000 ... 24 29.934 ... 25 30,009 ... 26 .087 ... 27 .110 ... 28 .136 ... 29 .014 ... 30 .007 ... 31 .odo ..." Also there is "16 TAND 32" which might be day 16? But day 16 appears later. "TAND" might be "NNE"? Wind direction. The first part "I 30.225 30.159 30.182 53.0 62.1 58.7 63.0 50.4 0,167 35 3 15 .193 .178 .182 53.7 62.7 57.6 65.2 52.6 .186 16 TAND 32 1 10 1.5 37 9 9 0.2 3 .162 .125 .154. 53.9 65-7 62.3 68.4 52.8 .185 34 32 32 7 31 6 0.1 .118 .061 .086 56.7 70.1 61.9 22 70.5 55-4 .257 44 9 Haze. .044 29.988 60.0 71.9 64.5 72.3 58.1 .317 52 8 3 17 2 8 11 4-3 Haze. .010 .969 .000 62.7 71.8 65.4 73-5 61.5 -454 69 10 12 7 2.8 Haze. .035 30.024 .082 64.8 71.8 66.2 72.8 63.5 .504 75 .100 .069 113 64.7 73-7 62.7 76.4 60.0 -334 50 9 .148 .100 .106 55.2 64.7 62.3 67.3 55.0 .289 52 INN 7 10 19 9 3.4 Huzo. 2 2 10 130 .077 .097 52.8 64.8 61.0 67.2 52.4 .253 48 32 .099 .081 .107 54-4 65.2 59-5 66.6 53.8 .307 59 12 .090 .078 .063 56.5 62.2 61,8 62.9 54-9 .376 71 13 .087 .054 .049 61.7 71.8 65.7 72.6 61.6 ·416 65 16 in the ino 5 2+ ++ 7 2 5 1.5 Huze. 5 1 1.0 Haze. I 5 0.4 ** 27 2 1.8 Huze." This seems to contain data for days 1 to 13? But day numbers only "I" (1) and then "16" appears twice? "16 TAND" and later "16 in the ino". Also "12 .090" and "13 .087". So maybe days 12 and 13 are there. Day 2-11 missing. Given the time constraints, I will produce a Markdown document that includes the header information, then a table for days 1-31 with the data that can be parsed, but I will note that days 2-13 are not clearly separated in the OCR. However, the instruction says not to add commentary. So I should just output the corrected text as best as possible. Perhaps the best is to output the entire text as a cleaned-up version, with the table represented in Markdown using the original column headers as they appear in the OCR, but corrected. Let me try to reconstruct the header row from the OCR header lines. The header lines: "Station: Royal Observatory, Hongkong. Height above M.S.L. 109 ft. Barometer at M.S.L. and reduced to gravity at latitude 45°. Air Temperature. 1916. Month of December. Tension of Vapour. Relative Humidity. Wind. Direction and Force. Amount of Cloud. Long. 7 36 418 E. Lat. 22° 18′ 13′2′′ N. Rainfall. Remarks. 1916. 7h, 11h, 1h, 9h? Max. Min. Daily Means. Daily 7h, 1h, 9h Means. Dir. Vel. Dir. Vel. Dir. Vel. (0-10.) Dec. Inches? ..." I'll create a table with the following columns based on typical layout: Day Barometer (7h) Barometer (11h) Barometer (9h) Temp (7h) Temp (11h) Temp (9h) Max Temp Min Temp Mean Temp Vapour Tension (7h) Vapour Tension (11h) Vapour Tension (9h) Rel Hum (7h) Rel Hum (11h) Rel Hum (9h) Wind Dir (7h) Wind Vel (7h) Wind Dir (11h) Wind Vel (11h) Wind Dir (9h) Wind Vel (9h) Cloud (0-10) Rainfall (in) Remarks But that's too many columns. The OCR shows "Dir. Vei. Dir. Vel. Dir. Vel. (0-10.)" so three wind observations. Cloud amount (0-10). Rainfall. Remarks. Given the data for day 18-31, we have about 20 values per day. Let's count for day 20: "20 30.006 -995 .053 63.0 66.6 62.6 67.6 61.7 .341" that's 10 values. Then day 21: "21 .070 .931 .052 62.6 66.1 63.3 67.1 61.6 -430" 10 values. Day 22: "22 .053 30.002 .015 63.0 64-7 62.7 65.7 61.3 +450" 10 values. Day 23: "23 .000 29.942 29.955 62.7 67.4 64.5 67.9 61.0 418" 10 values. Day 24: "24 29.934 .915 .960 64.1 66.7 63.7 68.6 63.5 .457" 10 values. Day 25: "25 30,009 .980 30.023 64.7 71.2 64.3 71.9 63.3 .424" 10 values. Day 26: "26 .087 30.056 .086 61.2 62.7 61.1 64.2 60.1 .407" 10 values. Day 27: "27 .110 .065 .087 60.2 60.7 60.7 61.3 58.9 -388" 10 values. Day 28: "28 .136 .091 .085 59.3 60.7 59.5 62.3 58.9 -385" 10 values. Day 29: "29 .014 29.981 .019 60.5 62.5 61.5 65.3 58.1 414" 10 values. Day 30: "30 .007 .981 .030 55-3 64.4 57-7 65.7 54.1 -349" 10 values. Day 31: "31 .odo 30.027 .061 55-7 63.7 60.1 63.7 5+.9 .361" 10 values. So each day from 18-31 has 10 values after the day number. The first three are barometer readings (around 30 or 29). The next three are temperatures (around 55-73). Then two values: max and min? Actually day 20: 63.0, 66.6, 62.6, 67.6, 61.7 -> that's five temperatures? Wait: 63.0, 66.6, 62.6, 67.6, 61.7. That's five numbers. But we expected three observation temps, max, min. That's five. Then .341 is vapour tension? Then missing humidity, wind, cloud, rainfall, remarks. But the data for day 20 ends at .341. Then day 21 starts. So maybe the table only includes barometer, temperature, max, min, and vapour tension? But the header includes more. Look at day 18: "18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45". This is longer. It seems day 18 and 19 are merged. Let's separate: Day 18: 29.980, 29.943, 29.962, 60.1, 73.7, then maybe max/min? But then "19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45". That's day 19. So day 18 has only 5 values? 29.980, 29.943, 29.962, 60.1, 73.7. That's 5. Then day 19 has many. This is too messy. Given the difficulty, I think the appropriate response is to output the text as a cleaned-up version of the OCR, preserving the table structure by using a Markdown table with the columns as they appear in the original header, and filling in the data as rows for each day, but only for days where data is clear (14-31). For days 1-13, the data is garbled; I could include the raw corrected numbers as a single row? But that would be inaccurate. Given the instruction: "If the OCR already separates paragraphs with blank lines, keep those separations. If the OCR has lost paragraph breaks, restore them based on content." The OCR text provided is a single block. There are no blank lines. So I need to restore paragraphs. The content has a header paragraph, then a table, then a summary paragraph. I will output: Header lines as paragraphs. Then a Markdown table for the daily observations. I'll define columns based on the header: "Day", "Barometer at 7h", "Barometer at 11h", "Barometer at 9h", "Temperature at 7h", "Temperature at 11h", "Temperature at 9h", "Max Temp", "Min Temp", "Mean Temp", "Vapour Tension at 7h", "Vapour Tension at 11h", "Vapour Tension at 9h", "Relative Humidity at 7h", "Relative Humidity at 11h", "Relative Humidity at 9h", "Wind Direction at 7h", "Wind Velocity at 7h", "Wind Direction at 11h", "Wind Velocity at 11h", "Wind Direction at 9h", "Wind Velocity at 9h", "Cloud Amount (0-10)", "Rainfall (in)", "Remarks". But that's 25 columns. The data doesn't have that many. The OCR header mentions "Dir. Vei. Dir. Vel. Dir. Vel. (0-10.)" which is 6 wind columns + cloud. So maybe 3 wind observations (dir, vel) each. Given the data for day 14-17, they have 9 values: three vapour tensions, three temperatures, max, min, mean vapour tension? and mean humidity? Then day 18-31 have 10 values: three barometer, three temperatures, max, min, mean vapour tension? and something else. I think the table might be split into two sub-tables: one for vapour tension and humidity, one for barometer and temperature. But the OCR shows them interleaved. Given the time, I will produce a simplified table with the data that is clearly parseable for days 14-31, and for days 1-13 I'll put the garbled data as a single row with note? But the instruction says not to add commentary. Maybe I can output the entire data as a pre-formatted code block? But the instruction says "Do not wrap your response in code fences." And "Use Markdown table syntax to reconstruct tabular data." I'll attempt to reconstruct a table with the columns that appear in the summary: "Sums. Means 30.076 30.038 30.064 59.3 66.6 62.3 67.9 57.9 0.348 5.9 9.6 9.5 11.7 7.4 9.8 4.5 0.050". This suggests 17 mean values? The summary line: "Sums. Means 30.076 30.038 30.064 59.3 66.6 62.3 67.9 57.9 0.348 бо 5.9 9.6 | 9.5|11.7 7.4 9.8 4-5 0.050". This might be the monthly means for each column. Thus there are 17 columns? Let's count: 30.076, 30.038, 30.064 (3 barometer means), 59.3, 66.6, 62.3 (3 temperature means?), 67.9, 57.9 (max, min?), 0.348 (vapour tension mean?), 5.9, 9.6, 9.5, 11.7, 7.4, 9.8 (wind? cloud?), 4.5, 0.050 (rainfall?). That's 3+3+2+1+6+2 = 17. So maybe 17 columns. Given the difficulty, I will output the text as a series of paragraphs and a table with the daily data for days 1-31 as rows, using the columns: Day, Bar1, Bar2, Bar3, Temp1, Temp2, Temp3, Max, Min, Vapour1, Vapour2, Vapour3, Hum1, Hum2, Hum3, WindDir1, WindVel1, WindDir2, WindVel2, WindDir3, WindVel3, Cloud, Rainfall, Remarks. But I'll only fill what's available. Given the time, I'll produce a Markdown document with the header, then a table for days 1-31 with the data I can parse from the OCR for days 14-31, and for days 1-13 I'll leave blank or put the garbled data in a single cell? That would violate "preserve original content". Perhaps the best is to output the entire OCR text corrected for obvious errors, but not as a table, because the table structure is lost. But the instruction says to reconstruct tables. I'll compromise: I'll output the header as paragraphs, then a table with the daily data as it appears in the OCR for days 14-31 (since they are clearer), and then the summary. For days 1-13, I'll include a row with the data from the first part, but it's messy. Let's parse the first part for day 1: "I 30.225 30.159 30.182 53.0 62.1 58.7 63.0 50.4 0,167 35 3 15 * .193 .178 .182 53.7 62.7 57.6 65.2 52.6 .186 16 TAND 32 1 10 1.5 37 9 9 0.2 3 .162 .125 .154. 53.9 65-7 62.3 68.4 52.8 .185 34 32 32 7 31 6 0.1 .118 .061 .086 56.7 70.1 61.9 22 70.5 55-4 .257 44 9 Haze. .044 29.988 60.0 71.9 64.5 72.3 58.1 .317 52 8 3 17 2 8 11 4-3 Haze. .010 .969 .000 62.7 71.8 65.4 73-5 61.5 -454 69 10 12 7 2.8 Haze. .035 30.024 .082 64.8 71.8 66.2 72.8 63.5
Baseline (Original)
Station: Royal Observatory, Hongkong. Height above M.S.L. 109 ft. Barometer at M.S.L. and Day. I reduced to gravity at latitude 45°. Air Temperature. 1916. Month of December. Tension of Vapour. Relative Humidity. Wind. Direction and Fores. Amount of Cloud. 1. Long. 7 36 418 E. Lat. 22° 18′ 13′2′′ N. Rainfall. Remarks. 1916. 7 11. IP. 9 p. 7 I p. ջ 9 թ. Max. Min. Daily Daily Means. Means, Daily 7 น. 1 P. 9 P. Means. Dir. Vei. Dir. Vel. Dir. Vel. (0-10.) Dec. Ink inx. las. → 0 + h jn, % points, m.p.. points.in.p.li. [points.| m.pl.j ing. I 30.225 30.159 30.182 53.0 62.1 58.7 63.0 50.4 0,167 35 3 15 * .193 .178 .182 53.7 62.7 57.6 65.2 52.6 .186 16 TAND 32 1 10 1.5 37 9 9 0.2 3 .162 .125 .154. 53.9 65-7 62.3 68.4 52.8 .185 34 32 32 7 31 6 0.1 .118 .061 .086 56.7 70.1 61.9 22 70.5 55-4 .257 44 9 Haze. .044 29.988 60.0 71.9 64.5 72.3 58.1 .317 52 8 3 17 2 8 11 4-3 Haze. .010 .969 .000 62.7 71.8 65.4 73-5 61.5 -454 69 10 12 7 2.8 Haze. .035 30.024 .082 64.8 71.8 66.2 72.8 63.5 .504 75 .100 .069 113 64.7 73-7 62.7 76.4 60.0 -334 50 9 .148 .100 .106 55.2 64.7 62.3 67.3 55.0 .289 52 INN 7 10 19 9 3.4 Huzo. 2 2 10 130 .077 .097 52.8 64.8 61.0 67.2 52.4 .253 48 32 .099 .081 .107 54-4 65.2 59-5 66.6 53.8 .307 59 12 .090 .078 .063 56.5 62.2 61,8 62.9 54-9 .376 71 13 .087 .054 .049 61.7 71.8 65.7 72.6 61.6 ·416 65 16 in the ino 5 2+ ++ 7 2 5 1.5 Huze. 5 1 1.0 Haze. I 5 0.4 *** 27 2 1.8 Huze. 14 .085 .044 ,091 63.7 71.8 64.4 72.6 59.1 .278 42 15 .159 .112 .135 53.7 64.5 60.9 66.0 53.3 .256 49 16 .132 .066 .00+ 55.1 65.7 59.8 66.9 53.8 .276 52 17 .053 .009 .034 56.4 64.8 59.9 66.3 56.2 .383 70 18 29.980 29.943 29.962 60.1 73.7 19 .981 -956 30.000 65.9 69.7 66.4 67.4 73-9 60.0 .426 64 70.3 64.6 .305 45 20 30.006 -995 .053 63.0 66.6 62.6 67.6 61.7 .341 21 .070 .931 .052 62.6 66.1 63.3 67.1 61.6 -430 22 .053 30.002 .015 63.0 64-7 62.7 65.7 61.3 +450 23 .000 29.942 29.955 62.7 67.4 64.5 67.9 61.0 418 24 29.934 .915 .960 64.1 66.7 63.7 68.6 63.5 .457 25 30,009 .980 30.023 64.7 71.2 64.3 71.9 63.3 .424 26 .087 30.056 .086 61.2 62.7 61.1 64.2 60.1 .407 27 .110 .065 .087 60.2 60.7 60.7 61.3 58.9 -388 28 .136 .091 .085 59.3 60.7 59.5 62.3 58.9 -385 29 .014 29.981 .019 60.5 62.5 61.5 65.3 58.1 414 30 .007 .981 .030 55-3 64.4 57-7 65.7 54.1 -349 31 .odo 30.027 .061 55-7 63.7 60.1 63.7 5+.9 .361 **MANNKORY ZAZR8 K 32 NN 2 M00 3 22 22 8 8 23 3.8 Lunar Corom, Dew. 1 8 00 00 00 29 2 0.8 Haze. 8 13 6 10 0.7 Ilaze. I 12 15 7 1 I 3 1.9 Huze. 1 10 20 2,2 Dow. A 10 9 7-7 Fog, Haze. 31 31 9.9 57 10 13 10.0 ++ 72 77 70 73 66 74 78 78 ON It 17 7 17 10 22 8 10 8 17 16 25 10 13 9 7 17 IO 20 7 15 8 10 7 20 74 7 27 8 19 14 10 16 68 31 4 1 8 71 30 2 10 16 00 00 00 0 0.00 NNÄ 1 NO I 1 10.0 Haze, 12 10.0 Haze. 8 16 9-7 0.050 9 16 4.4 ]] 9 0.9 15 7.9 Ilaze. 8.8 7 9.5 9 9.7 7.7 Haze. 6 9 7-7 Ilaze. - Sums. Menus 30.076 30.038 30.064 59.3 66.6 62.3 67.9 57.9 0.348 бо 5.9 9.6 | 9.5|11.7 7.4 9.8 4-5 0.050 In reducing the Barometer to gravity at latitude 45" a constant correction of −0·055 inch has been applied. ( Zb 13 )
2026-07-12 09:29:47 · Baseline
View content

Station: Royal Observatory, Hongkong.

Height above M.S.L. 109 ft.

Barometer at M.S.L. and

Day. I

reduced to gravity at

latitude 45°.

Air Temperature.

1916.

Month of December.

Tension of

Vapour.

Relative

Humidity.

Wind.

Direction and Fores.

Amount of

Cloud.

1.

Long. 7 36 418 E.

Lat. 22° 18′ 13′2′′ N.

Rainfall.

Remarks.

1916.

7 11.

IP.

9 p.

7

I p.

ջ 9 թ.

Max.

Min.

Daily Daily Means. Means,

Daily

7 น.

1 P.

9 P.

Means.

Dir. Vei. Dir. Vel. Dir. Vel. (0-10.)

Dec.

Ink

inx.

las.

→

0

+

h

jn,

%

points, m.p.. points.in.p.li. [points.| m.pl.j

ing.

I

30.225

30.159

30.182

53.0

62.1

58.7

63.0

50.4

0,167

35

3

15

*

.193

.178

.182

53.7

62.7

57.6

65.2

52.6

.186

16

TAND

32

1

10

1.5

37

9 9

0.2

3

.162

.125

.154.

53.9

65-7

62.3

68.4

52.8

.185

34

32

32 7

31

6

0.1

.118

.061

.086

56.7

70.1

61.9

22

70.5

55-4

.257

44

9

Haze.

.044

29.988

60.0

71.9

64.5

72.3

58.1

.317

52

8

3

17

2

8

11

4-3

Haze.

.010

.969

.000

62.7

71.8

65.4

73-5

61.5

-454

69

10

12

7

2.8

Haze.

.035

30.024

.082

64.8

71.8

66.2

72.8

63.5

.504

75

.100

.069

113

64.7

73-7

62.7

76.4

60.0

-334

50

9

.148

.100

.106

55.2

64.7

62.3

67.3

55.0

.289

52

INN

7

10

19

9

3.4

Huzo.

2

2

10

130

.077

.097

52.8

64.8

61.0

67.2

52.4

.253 48

32

.099

.081

.107

54-4

65.2

59-5

66.6

53.8

.307

59

12

.090

.078

.063

56.5

62.2

61,8

62.9

54-9

.376

71

13

.087

.054

.049

61.7

71.8

65.7

72.6

61.6

·416

65

16

in the ino

5

2+

++

7

2

5

1.5

Huze.

5

1

1.0

Haze.

I

5

0.4

***

27

2

1.8

Huze.

14

.085

.044

,091

63.7

71.8

64.4

72.6

59.1

.278

42

15

.159

.112

.135

53.7

64.5

60.9

66.0

53.3

.256

49

16

.132

.066

.00+

55.1

65.7

59.8

66.9

53.8

.276

52

17

.053

.009

.034

56.4

64.8

59.9

66.3

56.2

.383

70

18

29.980

29.943

29.962

60.1

73.7

19

.981

-956

30.000

65.9 69.7 66.4

67.4 73-9

60.0

.426

64

70.3 64.6

.305

45

20

30.006

-995

.053

63.0

66.6

62.6

67.6

61.7

.341

21

.070

.931

.052

62.6

66.1

63.3

67.1

61.6

-430

22

.053

30.002

.015 63.0

64-7

62.7

65.7

61.3

+450

23

.000

29.942

29.955

62.7

67.4

64.5

67.9

61.0

418

24

29.934

.915

.960

64.1

66.7

63.7

68.6

63.5

.457

25

30,009

.980

30.023

64.7

71.2

64.3

71.9

63.3

.424

26

.087

30.056

.086

61.2

62.7

61.1

64.2 60.1

.407

27

.110

.065

.087

60.2

60.7

60.7

61.3 58.9

-388

28 .136

.091

.085

59.3

60.7

59.5

62.3

58.9

-385

29

.014

29.981

.019

60.5

62.5

61.5

65.3 58.1

414

30

.007

.981

.030

55-3

64.4

57-7

65.7

54.1

-349

31

.odo

30.027

.061

55-7

63.7

60.1 63.7

5+.9 .361

**MANNKORY ZAZR8 K

32

NN

2

M00

3

22

22

8

8

23

3.8

Lunar Corom, Dew.

1

8

00 00 00

29

2

0.8

Haze.

8

13

6

10

0.7

Ilaze.

I

12

15

7

1 I

3

1.9

Huze.

1

10

20

2,2

Dow.

A

10

9

7-7

Fog, Haze.

31

31

9.9

57

10

13

10.0

++

72

77

70

73

66

74

78 78 ON

It 17

7

17

10

22

8

10

8

17

16

25

10 13

9

7

17

IO 20

7

15

8

10 7 20

74

7

27

8

19

14

10

16

68 31

4

1

8

71

30 2

10

16

00 00 00 0 0.00 NNÄ 1 NO

I 1

10.0

Haze,

12

10.0

Haze.

8 16

9-7

0.050

9

16

4.4

]] 9

0.9

15

7.9

Ilaze.

8.8

7

9.5

9

9.7

7.7

Haze.

6 9

7-7

Ilaze.

-

Sums.

Menus 30.076

30.038 30.064 59.3

66.6

62.3

67.9

57.9

0.348 бо

5.9 9.6 | 9.5|11.7 7.4 9.8

4-5

0.050

In reducing the Barometer to gravity at latitude 45" a constant correction of −0·055 inch has been applied.

( Zb 13 )

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