Paul Pukite pukpr

## CTFACI.md

      
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                Common Tidal Forcing among Climate Indices
              
          
    Comparison of LTE models applying slight variations of tidal forcing but larger allowance of basin tidal modulation
AMO


NINO4


IOD-East


## AzimuthProject.md

      
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                Azimuth Project
              
          
    github.com/azimuth-project

  
## initial_forcing.jl
initial_forcing = [64.79861184519945, -0.03956030217266119, -0.054641255219961, 0.1438437598358666, -0.006979979733325994, -0.018870338457863758, 0.0018286864505904798, 0.04255465840503827, 0.3659851712160052, 1.1678154520629573, -0.09920684852949448, -37.04190904240955, 0.134931019548738, -5.808707055633873, 0.04197231403115209, -0.191235897674358, -0.0005651295600417024, -0.09171877227387193, 8.1351216950623, 0.000826587745230315, 4.979592748986883, 0.3292794160236103, 0.06762453753371207, 0.168831120814038, 0.004048558625848306, 0.0008675782119757018, -0.01928763037706797, 0.5574567887828206, -0.015534993721929277, 0.011287179334352642, -0.058563893453183365, 0.013350864610056202, -0.04818672484320412, 0.04327800296616796, 0.14114202015747723]

## TidalNonlinear.adb
function Tide_Sum (Template : in Data_Pairs;
                      Constituents : in Long_Periods_Amp_Phase;
                      Periods : in Long_Periods;
                      Ref_Time : in Long_Float := 0.0;
                      Scaling : in Long_Float := 1.0;
                      Cos_Phase : in Boolean := True;
                      Year_Len : in Long_Float := Year_Length;
                      Integ: in Long_Float := 0.0
                      ) return Data_Pairs is
      Pi : Long_Float := Ada.Numerics.Pi;

## calibratedTidal.adb
with Ada.Command_Line;
with System.Task_Info;
with GEM.LTE.Primitives.Solution;
with GEM.LTE.Primitives.Shared;
with Text_IO;
with GNAT.OS_Lib;
with Ada.Calendar;

procedure ENSO_Opt is
   N :  Positive := Gem.Getenv("NUMBER_OF_PROCESSORS",  System.Task_Info.Number_Of_Processors);

## SlopeApproximation
if Lock_Freq then
    M(NM) := 1.0/(Decay*D.B.mP); -- mP
end if;


## SpectralNino4Fit.py
#
# See: https://chat.openai.com/share/d12f8a6e-8873-4aa4-992a-48125cc6aee5
#
import pandas as pd
import numpy as np
from scipy.optimize import minimize
from scipy.fftpack import fft, ifft, fftfreq
from scipy.stats import pearsonr
import matplotlib.pyplot as plt

## LTE_forcing_opt.jl
using Optim
using Statistics
using Plots
using CSV
using DataFrames

# Load the data
data = CSV.read("pdocalibrate.dat", DataFrame, delim='\t', header=false)

# Split the data into X and Y

## untitled.blend.new.ecliptcal.orbit.sitmulation.blend
https://chat.openai.com/share/7555f139-f9dc-4788-abbd-6e4b57b86a46

## amo_title.html
<!DOCTYPE html>
  <html>
  <head>
  <title> Morphing Text Animation </title>
    <style>
  canvas {
    border: 1 px solid black;
  } </style>
    </head>
    <body>
	function Tide_Sum (Template : in Data_Pairs;
	Constituents : in Long_Periods_Amp_Phase;
	Periods : in Long_Periods;
	Ref_Time : in Long_Float := 0.0;
	Scaling : in Long_Float := 1.0;
	Cos_Phase : in Boolean := True;
	Year_Len : in Long_Float := Year_Length;
	Integ: in Long_Float := 0.0
	) return Data_Pairs is
	Pi : Long_Float := Ada.Numerics.Pi;
	with Ada.Command_Line;
	with System.Task_Info;
	with GEM.LTE.Primitives.Solution;
	with GEM.LTE.Primitives.Shared;
	with Text_IO;
	with GNAT.OS_Lib;
	with Ada.Calendar;

	procedure ENSO_Opt is
	N : Positive := Gem.Getenv("NUMBER_OF_PROCESSORS", System.Task_Info.Number_Of_Processors);
	#
	# See: https://chat.openai.com/share/d12f8a6e-8873-4aa4-992a-48125cc6aee5
	#
	import pandas as pd
	import numpy as np
	from scipy.optimize import minimize
	from scipy.fftpack import fft, ifft, fftfreq
	from scipy.stats import pearsonr
	import matplotlib.pyplot as plt
	using Optim
	using Statistics
	using Plots
	using CSV
	using DataFrames

	# Load the data
	data = CSV.read("pdocalibrate.dat", DataFrame, delim='\t', header=false)

	# Split the data into X and Y
	<!DOCTYPE html>
	<html>
	<head>
	<title> Morphing Text Animation </title>
	<style>
	canvas {
	border: 1 px solid black;
	} </style>
	</head>
	<body>