61517b53-c3bc-4b9c-b4ea-43246b96182f 37 9 12 decimal

&[DATE] &[TIME] - &[FILENAME]

https://www.grc.nasa.gov/WWW/K-12/airplane/atmosmet.html

Atmospheric kPa <= m
dressed as given ... h NASA 101.29 288.14 0.00649 h * - 288.08 / (5.256^* 1000 - h ≤ (h 11000 ≤ (& 22.65 1.73 0.000157 h * - exp * 11000 h ≤ (h 25000 ≤ (& 2.488 141.89 0.00299 h * + 216.6 / (11.388 -^* cases :

m NASA kPa ≡

0 NASA 101.401

x NASA 11000 40 11000 10 - 2 2 mat 25000 10 25000 10 - 2 2 mat 3 1 sys

Air plane segment [0 . . . 20 km]

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The all range is solvable h NASA 11 - 0 ≡ h 5000 - 100000 solve 15620

data char size clr plot k 1 data rows range r3 k el char : r4 k el size : r5 k el clr : 13 mat for data r3 r4 r5 augment 21 line :

MCD 11 J_Fract'n ρ 22.988612 - 8916.12209 - 90.9391435 2.89776657 3.24228567 2136237.54 240.068995 18.9823559 - 81 mat :

data 060000 0.5 35462130747 2.1 26217 5.6 199208176481115620 14.7 13773 22.3 11115 32.4 8654 50.2 5563 75.5 2423 101.325 0132 mat :

XY data 513 range 12 range el : X XY 1 col : Y XY 2 col : 12 mat 21 sys

x c 10 x ≤ (x 101.325 ≤ (& cases :

data data o 5 black plot : airplane XY . 14 blue plot : 21 sys

ρ ρ 7 round vectorize :

x f ρ 1 el x * ρ 2 el + ρ 6 el x ρ 3 el + ρ 7 el x ρ 4 el + ρ 8 el x ρ 5 el + / - / - / + :

Absolute  residuals δ Δ 0 : j 1 XY rows range Δ j el Y j el X j el f - : for X Y Δ 12 round vectorize augment 31 line :

Δm δ 3 col :

δ 5.6 19920 91.3 817648011156200 14.7 137730 22.3 111150 32.4 86540 50.2 55630 75.5 24230 101.3 0093 mat

Δm 91.276 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 91 mat

m 1 :

dafault NASA datum level [0] 0 NASA f m 6.34 -

7000 NASA f m 6999

5.6 30000 5.6 10000 - 2 2 mat x f x c * 101.325 10000 101.325 10000 - 2 2 mat airplane data 5 1 sys

NO glitch detected from analyzer @ kPa resolution 0.01 OBSERVE: Under the hood of the reader, analog data are scanned periodically, affected by the "Qantizing", producing noise ... that is repaired [so to speak] by applying "exponential smoothing" or more advanced smoothing.

kPa resolution

# f L Δ N Δinc X 0 : i 1 N range X i 1 + el L Δ i * + : X 1 el L : 21 line for i 1 X rows range vy i el X i el f : for X vy augment 41 line :

L 8 : Δ 0.01 : N 1001 : 13 mat F x f L Δ N Δinc : 21 sys

glitch ? g 11 :

Glitch analyzer kPa resolution

F g g f + 50 red 1 5 mat 2 1 sys

low local   => substract
.................
high local => add 101 f 101.325 f 101.65 f 31 mat 27.2 0 27.1 - 31 mat

x c 10 x ≤ (x 18000 ≤ (& cases :

defaultNASA 0 6.33 - . 15 blue 15 mat :

Sources of incertitude . . .

1. Despite that Thiele is the best interpolator,

@ reduced support points, it still suffers some

wiggling between support points.

2. On the other hand, NASA(h) is undetermined

as well . . . and used as given.

3. Local proximity barometric kPa .

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support 1992001764801562001377301111508654055630242300092 mat :

x NASA f x c * x 2 1 sys 8192 32 8192 32 - 2 2 mat x NASA f x c * x - 10240 32 10240 32 - 2 2 mat defaultNASA support . 14 black plot 5 1 sys

XY data 613 range 12 range el : X XY 1 col : Y XY 2 col : 12 mat 21 sys

correct NASA b 0 NASA f : 6.34 -

Wiggling uncertainty Ω Δ 0 : j 1 XY rows range Δ j el X j el NASA f X j el - b - : for X Y Δ 3 round vectorize augment 31 line :

Ω 817648 0.013 1115620 0.018 14.7 13773 0.024 22.3 11115 0.036 32.4 8654 0.052 50.2 5563 0.082 75.5 2423 0.124 101.325 0 0.168 83 mat

LinΩ Ω 1 col Ω 3 col augment :

LinΩ o 5 black plot LinΩ 2 1 sys