81m.org has been keeping track of White House videos since early February. Today I reveal the running count of dislikes removed by YouTube since the inception of 81m.org. 3.9 Million dislikes removed! The entire list of removals by video is archived here. The official totals are: Nearly twice as many dislikes were removed as remain.Continue reading “YouTube removed 3.9 million dislikes for White House”
Climate alarmists claim that hurricane frequency is increasing. I have already dealt with this for the Atlantic, here. There was no trend. Today, I will analyze global data. NOAA sponsors the largest collection of historic hurricane data: IBTrACS (International Best Track Archive for Climate Stewardship). There is 13,545 storms archived going back to 1842, fromContinue reading “Global Hurricane Hours”
Albedo is a measure of reflected incoming radiation. It’s extremely vital in climate science, and so it’s important to know what it actually is, and what its trend was. I was taught in school that albedo is 0.3. NASA’s Earth Factsheet lists it as 0.306. I have always used 0.3 for quick calculations. Most climateContinue reading “On Albedo”
Climate alarmists claim that Atlantic hurricanes will increase in frequency and intensity due to emission of carbon dioxide. Is this true? NOAA provides the data (HURDAT2) we need to examine this claim. Let’s first look at the frequency of hurricanes: Their first claim has some evidence, but let’s give this some thought: is measuring theContinue reading “Atlantic Hurricanes Trend”
The Standard Precipitation-Evapotranspiration Index (SPEI) data gives us anomaly drought conditions over land spanning from 1901 to 2018 (inclusive) in monthly 0.5 degree latitude/longitude format. Today I combined all this grid data into a global land-only drought anomaly index and show its trend over time. Result: Looks like it’s getting dryer over land, but itContinue reading “Land Drought Index Trend”
I was learning some Python over the weekend, and then afterwards decided to go for a jog at my favorite spot. As I was jogging, I thought about finding out what the temperature trend at this location was by extracting and plotting it with Python. This site seems to offer the best local 4km dataContinue reading “Warming near Coal Plants”
Is anyone curious to know what the global snowfall trend was in this era of “extreme” global warming? I was. Luckily NASA covertly provides us with all the necessary data to figure this out. I downloaded all available monthly images from 1980 to 2020 (inclusive), such as the one shown above, then I converted theContinue reading “Snow in the Era of Global Warming”
A long long time ago, when I got my first job on wall street, I had the opportunity to partake in writing some of the fastest high frequency financial execution engines possible. Although I barely remember the x86 assembly language, I still haven’t completely forgotten it either. I wanted to use some of these forgottenContinue reading “Tiniest Useful Executable”
NOTE: THIS POST AND CODE IS DEPRECATED. PLEASE GO HERE FOR UPDATED VERSION. Is anyone curious to know what the global snowfall trend was in this era of “extreme global warming”? I was. Luckily NASA covertly provides us with all the necessary data to figure this out. I downloaded all available monthly images from 1980Continue reading “4 Decade Global Snowfall Trend”
I downloaded all 8-day increment Gross Primary Production data from NASA from 2001 to 2020 (inclusive) to find the 20-year trend. The Result: This is all good news. Enjoy 🙂 -Zoe The Code:
The official energy budget contains a small value that some may not understand. What is does that “0.6 net absorbed” value mean? The answer is that most energy budgets mix normal (“all”) sky and clear sky conditions. To show this, I will use NOAA’s 20th Century Version 3 Reanalysis data. The code is short: TheContinue reading “Small Mystery Explained”
NASA has a data product that tracks the amount of chlorophyll in water across the globe. I downloaded all available 2003-2020 (inclusive) monthly data in 1440 by 720 pixel format to see how chlorophyll in water changes over time. This task is actually not easy because there’s a lot of missing data (black pixels). IContinue reading “Trend of Chlorophyll in Water”
Climate alarmists are worried that the sea level is rising too fast and flooding is coming soon. You can find many data images like this on the net: 3.2 mm/year. The problem is that this is for all ocean water. If flooding is a concern, then shouldn’t we ask what is happening at the coasts?Continue reading “Coastal Sealevel Rise”
In a previous post, Fortunate Global Greening, I used low resolution NASA data to determine changes to Vegetation Index. I did this because I didn’t want to spend 5 hours downloading 23 gigabytes of data for the highest resolution. I didn’t think this would matter that much, but unfortunately for me, it does. Here’s theContinue reading “Accurate Global Greening”
This is for my Aussie fans. I show how Australia’s landscape changed from 2001 to 2019 using best available satellite data. Parts of Indonesia and Papua New Guinea that should appear on the map, are changed to water. Changes: Columns are in overall percent, except the last, which shows percent change from 2001 to 2019.Continue reading “Land Change in Australia”
NASA provides global land cover classification data: Unfortunately it stops in 2011. I did a little bit more digging and found a great resource here. What I wanted to do was show surface changes over time. Here’s my result: Each year column shows coverage by percent, and last column shows the percent change from 2001Continue reading “Surface Change”
Climate alarmists claim that an increase in man-made greenhouse gas emission will cause more fires. For example … Human-induced climate change promotes the conditions on which wildfires depend, increasing their likelihood … — ScienceDaily Funk … says there is very well documented scientific evidence that climate change has been increasing the length of the fireContinue reading “Trend in Global Fires”
Update: See new information. NASA offers a data product called a Vegetation Index. This can be used to track how green the Earth is. Although many are familiar with recent global greening, I prefer to always check the source data. And so I downloaded all of their available 16-day-increment data from 2000 to 2021. Here’sContinue reading “Fortunate Global Greening”
NASA’s Moon Fact Sheet doesn’t give the diurnal temperature range for the entire moon, just the equator: Strange. They have collected the data. Why didn’t they do the calculations? So I could do it? I went through every 15 degree increment longitude data available here. Day is the center hot spot +/- 90 degrees. NightContinue reading “Average Moon Day and Night Temperatures”
I don’t know about you, but I always thought this was a beautiful image: I decided to fix it per this article, and make a large (1920×960) animated version. The result is here. It’s 7MB, so please wait for it to load. Right-click and save image in case wordpress is annoying. I made it myContinue reading “Big Blue Marble”
The map is fixed per this article. Happy Valentines Day! ❤ -Zoe
I downloaded and analyzed 10 Gigabytes of data fully covering years 2003 to 2019 from “the only project worldwide whose prime objective is to produce global climate data records of ERB [Earth’s Radiation Budget] from instruments designed to observe the ERB” [site] [data] in order to see the effect of clouds at the surface, especiallyContinue reading “Effect of Clouds on Global Upwelling Radiation”
There, I said it. Don’t believe me? I will show you … NASA offers an online tool for measuring the effects of clouds, aerosols, and greenhouse gases. Set Output to OUTPUT_details. Note the CO2 (ppmv) setting in the bottom left. Click Compute button to express form changes. Output comes below the form, so scroll down.Continue reading “Greenhouse Gases as Coolants”
I needed to create a throwaway Twitter account for a research project. I decided to automate its creation and share the code with you 🙂 I used the handy service of 10minutemail for receiving Twitter’s verification code. I used the wonderful browser automation tool Nightmare. Automation in action: Code twit.sh: Setup NodeJS and Nightmare: Run:Continue reading “Automated Twit”
I’ve seen screenshots of YouTube modifying dislikes of White House videos. I decided I would do a thorough analysis myself. I wrote a script to check video stats every 80 seconds for 24 hours – for all videos on White House’s YouTube channel. The collected data is archived here and here. The format is space-separatedContinue reading “White House Youtube Dislike Manipulation”
Updated – 2021/01/06, 06:50 PM EST The results of the Georgia runoff election results do not make any logical sense to me. In the last 2 months I have probably seen political ads over 1000 times! No exaggeration. All for the 2 senate seats. There was not a single ad for Public Service Commission DistrictContinue reading “Something Rotten in Georgia”
I was trying to find timestamp data for the Georgia 2021 Senate Runoff election. I couldn’t find it easily via a google search, but I kept digging, and managed to find it and extract it from NY Times’ live prediction data feed. Here it is … Code … georgia.sh: Run it: format generates timestamp dataContinue reading “Georgia Senate Runoff Timestamp Data”
NASA provides extensive ozone data. I wanted to see what it looks like over time. The following charts describe the following: The ozone hole area is determined from total ozone satellite measurements. It is defined to be that region of ozone values below 220 Dobson Units (DU) located south of 40°S. — Link Note: 1995Continue reading “Ozone Hole Watch”
There’s some articles claiming that US deaths from all causes is lower this year than previous years. Is it true? No, it is not true. Here’s my result: Code… uscovid.sh: Run it: Note 1: As of writing this, the current year has 340 days of data. What I did was multiply the death count byContinue reading “US Deaths”
I wrote some code to generate a solar spectrum chart from official data. Thought I’d share it with you … ssi.sh: Run it: Data and image contained in ssi.csv and solar.png Enjoy 🙂 and Happy Holidays! -Zoe Update I also made a version for nanometer wavelenths rather than microns … ssi-nm.sh: Run:
I thought this code could be useful for researchers. I wrote it a while ago, then never used it. Too busy 😦 elec.sh: Run it: Result: elec.png Enjoy 🙂 -Zoe Update 2020/12/06 County level data can be obtained with this code snippet: Run it: Contents of counties.txt is archived here.
This was derived from NCEP Reanalysis data, in the tradition of Measuring Geothermal … Enjoy 🙂 -Zoe Addendum geochg.sh: Run it: Windows users need imagemagick package from Cygwin.
I’m going to ignore the typical nonsense mainstream narrative, and do this analysis in the tradition of: Measuring Geothermal – A Revolutionary Hypothesis. I will use 41 years of NCEP Reanalysis Data. Create a new file fluxchange.sh, and paste: Run it: The results are changes for years 1979 to 2019 (inclusive). The upwelling radiation fluxContinue reading “What caused 40 years of global warming?”
You can run all the code at this blog on Windows, rather than Linux. I will show you how. Preferred Windows is version 10. That’s the only one I’ve set up. Any Windows >7.0 should work in theory. Run Windows Command Line (<Win>+R; type “cmd” then <enter>) Zoe is your variable. Make it whatever youContinue reading “Instructions for Windows Users”
I’m proposing a brand new hypothesis. Here it is: The so called greenhouse effect is nothing but an artifact of geothermal, flipped upside down. We can measure geothermal quite easily: Geothermal Emission = Upwelling Longwave Radiation – (Downwelling Shortwave Radiation – Upwelling Shortwave) + Latent Heat Flux + Sensible Heat Flux In the language ofContinue reading “Measuring Geothermal – A Revolutionary Hypothesis”
Answer = 200.2 K The Diviner Lunar Radiometer Experiment onboard the Lunar Reconnaissance Orbiter (LRO) has been acquiring moon data since July 2009. A very detailed paper [Williams 2017] was written, yet nowhere does it answer the simple question: what is the average temperature of the moon? [Nikolov & Zeller 2014] intelligently guessed that theContinue reading “Average Moon Temperature”
The standard mean sea level pressure is defined as 101.325 kPa. This is the standard used in US and International Standard Atmosphere. This value is all over the place. In reality this value was agreed upon by committee and at no time represented the true mean sea level pressure. Most certainly it does not representContinue reading “Pressure Change and Real Standard Pressure”
Today we will examine 40 years (1979-2018) of air temperature data and derive the average lapse rate. First we need some tools: We will be using NCEP Reanalysis 2 data. Grab it: Create a new file air.sh with: We source the code, to allow its functions to act like command-line commands we can run inContinue reading “Air Temperatures and Average Lapse Rate”
Happy new year, everybody 🙂 It would be interesting to know the average surface gravity of Earth. I looked over at Wikipedia: Standard Gravity and found: The standard acceleration due to gravity (or standard acceleration of free fall), sometimes abbreviated as standard gravity, usually denoted by ɡ0 or ɡn, is the nominal gravitational acceleration ofContinue reading “Earth Average Surface Gravity”
Berkeley Earth is a popular resource among climate alarmists. Today I will examine their most popular data, available here. This data is the basis of a very popular meme, the global warming color stripes. But how valid is it? Could it be a misinterpretation? First, we will need three tools: Then download & plot: LooksContinue reading “What Global Warming?”
Calculating ocean cover and hypsometry.
What is the average depth of the ocean? What is the average elevation on land? And what is the average elevation of the Earth? I will answer all of these questions.
There’s a [stupid] idea popular among climate scientists that there is an extra warming effect from water vapor due to the fact that CO2 and water vapor have overlapping spectral bands. Is this true?
I created a program to calculate the temperature, pressure, density, gravity, and molecular velocity profile for the troposphere.
In a previous post, I presented a program for generating global insolation data. In this post I kick it up a notch and do the same thing using higher resolution graphics.
What is Earth’s surface emissivity? Most climate scientists don’t know. I do, and so will you 🙂
I wrote a little program to help people figure out top-of-the-atmosphere insolation year-round all over the globe. You can modify it for more specific purposes. It is written mostly in awk – the best programming language for processing columnated data tables.