Maybe this will help me figure out my MATLAB code
Clone of Venus Climate Model
Model of Earth's Climate System.
Clone of Clone of Climate System
S-Curve + Delay for Bell Curve Showing Erlang Distribution
Generation of Bell Curve from Initial Market through Delay in Pickup of Customers
This provides the beginning of an Erlang distribution model
The Erlang distribution is a two parameter family of continuous probability distributions with support . The two parameters are:
- a positive integer 'shape'
- a positive real 'rate' ; sometimes the scale , the inverse of the rate is used.
Clone of S-Curve + Delay for Bell Curve by Guy Lakeman
Causal loop diagram illustrating how the ice-albedo feedback system contributes to arctic ice loss.
Clone of Clone of Climate Change Influencer: Arctic Ice Loss (1-Loop; Reinforcing)
S-Curve + Delay for Bell Curve Showing Erlang Distribution
Generation of Bell Curve from Initial Market through Delay in Pickup of Customers
This provides the beginning of an Erlang distribution model
The Erlang distribution is a two parameter family of continuous probability distributions with support . The two parameters are:
- a positive integer 'shape'
- a positive real 'rate' ; sometimes the scale , the inverse of the rate is used.
Clone of S-Curve + Delay for Bell Curve by Guy Lakeman
The probability density function (PDF) of the normal distribution or Bell Curve of Normal or Gaussian Distribution is the mean or expectation of the distribution (and also its median and mode).
The parameter is its standard deviation with its variance then, A random variable with a Gaussian distribution is said to be normally distributed and is called a normal deviate.
However, those who enjoy upskirts are called deviants and have a variable distribution :)
A random variable with a Gaussian distribution is said to be normally distributed and is called a normal deviate.
If mu = 0 and sigma = 1
If the Higher Education Numbers Are Increased then the group decision making ability of society would be raised above that of a middle teenager as it is now
BUT
Governments can control children by using bad parenting techniques, pandering to the pleasure principle, so they will make higher education more and more difficult as they are doing
85% of the population has a qualification level equal or below a 12th grader, 17 year old ... the chance of finding someone with any sense is low (~1 in 6) and the outcome of them being chosen by those who are uneducated in the policies they are to decide is even more rare !!!
Experience means little if you don't have enough brain to analyse it
Democracy is only as good as the ability of the voters to FULLY understand the implications of the policies on which they vote., both context and the various perspectives. National voting of unqualified voters on specific policy issues is the sign of corrupt manipulation.
Democracy: Where a group allows the decision ability of a teenager to decide on a choice of mis-representatives who are unqualified to make judgement on social policies that affect the lives of millions.
The kind of children who would vote for King Kong who can hold a girl in one hand and swat fighter jets out of teh sky off the tallest building, doesn't have a brain cell or thought to call his own but has a nice smile and offers little girls sweets.
updated 16/3/2020 from 4 years 3 months ago
Clone of Clone of The probability density function (PDF) of the normal distribution or Bell Curve Gaussian Distribution by Guy Lakeman
This simple radiation balance model shows the greenhouse effect that an atmosphere can have in warming a planet. By trapping some of the radiation emitted by the planet the atmosphere can cause the surface to become warmer than it otherwise would be.
Clone of Aquaworld Radiation Balance
Model of Earth's Climate System.
Clone of Clone of Clone of Climate System
Causal loop diagram illustrating how the ice-albedo feedback system contributes to arctic ice loss.
Clone of Climate Change Influencer: Arctic Ice Loss (1-Loop; Reinforcing)
Causal loop diagram illustrating how the ice-albedo feedback system contributes to arctic ice loss.
Clone of Climate Change Influencer: Arctic Ice Loss (1-Loop; Reinforcing)
This is step 5 in making a climate model based on our insights of how trees actively contribute to the cooling capcacity of the Earth.
In the prevoious step we added the reflection of sun energy by Clouds
In this step we added aabsorption of near infrared by clouds and the biotic pump
Present the temperature of the Earth is 288 Kelvin. Without Earth would be 255 Kelvin. So the energy balance of the Earth add 33 Kelvin.
We optimize in step 4 the variable GHG-effect and the optimal number is 0,29625 in this model.
With Our-Green-Spine we have discovered new insights how trees / forest / green structures are part of the managing system of controlling the temperature of our Earth via their cooling capacity by using water and influencing the water cycle. We want to translate our insights in a climate model. People who to join us please send an email to marcel.planb@gmail.com.
Thanks, Marcel de Berg
Backup of workversion Clone of Model 6 integrating Biotic Pump
This simple radiation balance model shows the greenhouse effect that an atmosphere can have in warming a planet. By trapping some of the radiation emitted by the planet the atmosphere can cause the surface to become warmer than it otherwise would be.
Clone of Aquaworld Revised - Surface Albedo, GHG and Temperature
A model of Global Climate Change driven by the impact of Carbon Dioxide on the Greenhouse Effect. This model contains a physical model of energy inflows ☀️ and outflows from the Earth (primary source). And a simple model of carbon dioxide sources and sinks in the atmosphere (primary source).
The energy model assumes inflowing short-wave solar radiation that does not interact with the atmosphere. A fraction of this is reflected immediately (e.g. by snow and ice cover). The remaining is absorbed 🌎 and re-radiated as long-wave infrared which can be captured by the atmosphere ☁️. The fraction captured by the atmosphere is related to the level of Carbon Dioxide in the atmosphere.
This model tracks Carbon Dioxide emissions from burning fossil fuels 🏭 and land use changes 🚜 (e.g. deforestation). It also tracks removal of Carbon Dioxide from the atmosphere into a land sink 🌲 (e.g. vegetation) and the an ocean sink 🏖.
🧪 Experiment with different levels of emissions to see their impact on global average temperatures. You can also compare predicted temperatures and Carbon Dioxide levels to historical data.
Comprendre la dynamique du changement climatique
Causal loop diagram illustrating how the ice-albedo feedback system contributes to arctic ice loss.
Clone of Climate Change Influencer: Arctic Ice Loss (1-Loop; Reinforcing)
This simple radiation balance model shows the greenhouse effect that an atmosphere can have in warming a planet. By trapping some of the radiation emitted by the planet the atmosphere can cause the surface to become warmer than it otherwise would be.
Clone of Aquaworld Revised - Surface Albedo, GHG and Temperature
This simple radiation balance model shows the greenhouse effect that an atmosphere can have in warming a planet. By trapping some of the radiation emitted by the planet the atmosphere can cause the surface to become warmer than it otherwise would be.
Greenhouse effect_NM
A model of Global Climate Change driven by the impact of Carbon Dioxide on the Greenhouse Effect. This model contains a physical model of energy inflows ☀️ and outflows from the Earth (primary source). And a simple model of carbon dioxide sources and sinks in the atmosphere (primary source).
The energy model assumes inflowing short-wave solar radiation that does not interact with the atmosphere. A fraction of this is reflected immediately (e.g. by snow and ice cover). The remaining is absorbed 🌎 and re-radiated as long-wave infrared which can be captured by the atmosphere ☁️. The fraction captured by the atmosphere is related to the level of Carbon Dioxide in the atmosphere.
This model tracks Carbon Dioxide emissions from burning fossil fuels 🏭 and land use changes 🚜 (e.g. deforestation). It also tracks removal of Carbon Dioxide from the atmosphere into a land sink 🌲 (e.g. vegetation) and the an ocean sink 🏖.
🧪 Experiment with different levels of emissions to see their impact on global average temperatures. You can also compare predicted temperatures and Carbon Dioxide levels to historical data.
Clone of Global Climate Change
Causal loop diagram illustrating how the ice-albedo feedback system contributes to arctic ice loss.
Clone of Climate Change Influencer: Arctic Ice Loss (1-Loop; Reinforcing)
cycle of climate change and how human actions designed to mitigate the effects make the change worse
Clone of Climate Change Cycle
This simple radiation balance model shows the greenhouse effect that an atmosphere can have in warming a planet. By trapping some of the radiation emitted by the planet the atmosphere can cause the surface to become warmer than it otherwise would be.
Clone of Aquaworld Radiation Balance
This simple radiation balance model shows the greenhouse effect that an atmosphere can have in warming a planet. By trapping some of the radiation emitted by the planet the atmosphere can cause the surface to become warmer than it otherwise would be.
project stage 1
This simple radiation balance model shows the greenhouse effect that an atmosphere can have in warming a planet. By trapping some of the radiation emitted by the planet the atmosphere can cause the surface to become warmer than it otherwise would be.
Nick's Clone of Aquaworld Radiation Balance
S-Curve + Delay for Bell Curve Showing Erlang Distribution
Generation of Bell Curve from Initial Market through Delay in Pickup of Customers
This provides the beginning of an Erlang distribution model
The Erlang distribution is a two parameter family of continuous probability distributions with support . The two parameters are:
- a positive integer 'shape'
- a positive real 'rate' ; sometimes the scale , the inverse of the rate is used.
Clone of S-Curve + Delay for Bell Curve by Guy Lakeman
