I predict weather to Europe and North America for a week, month ahead. I predict climate for all globe for few years ahead and it is based on my study.
Your theories are very interesting. The correlations presented in the report: "Summary of Bogdan Góralski research on Earth climate mechanism and earthquakes" are significant and it is worthwhile to pursue this line of research further.
I would like to suggest to cast the ideas from your notes in mathematical form perhaps with some help from the scientists working in the fields of geophysics and applied mathematics. The recent paper prepared by a group of researchers from the University of Leeds can give you some helpful hints how to make your point stronger
I have knowledge in geology and I spent sixteen years on studying Earth's climate and historical results of climate changes. My general knowledge allow to create climatic model but mathematic formula for this model is outside my abilities. This is area for other researchers to help me to finish climatic modeling and strict predicting climate on the Earth. I need help in my research so I ask international auditorium who will can help me?
This page is updated each month by an automatic procedure. Additional figures based on the GISTEMP analysis which require manual effort to create are available from Columbia University web pages maintained by Dr. Makiko Sato; see page 1 and page 2.
Instructions:
Click on the section titles below to hide or expose the respective graphs.
At the bottom left corner of every graph are 3 icons to “reset”, “move”, and “zoom” the image.
Hovering over a data point will display the year and data value.
The annual mean graphs are paired with a lowess smooth, i.e. a non-parametric regression analysis that relies on a k-nearest-neighbor model. In order to evaluate the function, we use a fraction of data corresponding to a ten year window of data, giving an effective smoothing of approximately five years.
For the option to select the strength of the smoothing and for seeing additional graphs click HERE.
Global Annual Mean Surface Air Temperature Change ▼
18801900192019401960198020002020-0.6-0.4-0.2-0.00.20.40.60.81.0NASA GISSTemperature Anomaly (C)Global Mean Estimates based on Land and Ocean DataAnnual MeanLowess Smoothing
Land-ocean temperature index, 1880 to present, with base period 1951-1980. The solid black line is the global annual mean and the solid red line is the five-year lowess smooth. The blue uncertainty bars (95% confidence limit) account only for incomplete spatial sampling. [This is an update of Fig. 9a in Hansen et al. (2010).]
Figure also available as a PNG, PDF, HTML, plain text, CSV, or of the visualizations current state.
18801900192019401960198020002020-1.0-0.50.00.51.01.5NASA GISSTemperature Anomaly (C)Global Mean Estimates based on Land Data onlyAnnual MeanLowess Smoothing
As in the original analysis, here only meteorological station data were used to estimate the global annual-mean surface air temperature deviation from the 1951-1980 mean. [This is an update of Plate 6(b) in Hansen et al. (2001).]
Figure also available as a PNG, PDF, HTML, plain text, CSV, or of the visualizations current state.
Annual Mean Temperature Change for Land and for Ocean ▶ Annual Mean Temperature Change for Three Latitude Bands ▶ Annual Mean Temperature Change for Hemispheres ▶ Global Monthly Mean Surface Temperature Change ▼
'1995200020052010201520200.20.40.60.81.01.21.41.61.8NASA GISSTemperature Anomaly (C)Monthly Mean Global Surface TemperatureMeteorological StationsLand-Ocean Temperature Index
'
Monthly mean global surface temperature anomalies vs. 1951-1980. The black dotted line shows estimates based on meteorological station data only; the red line shows estimates that additionally use ocean temperature data from ships and buoys. [This is an update of Figure 8 in Hansen et al. (1999).]
Figure also available as a PNG, PDF, HTML, plain text, CSV, or of the visualizations current state.
Annual Mean Temperature Change in the United States ▶ Seasonal Mean Temperature Change ▶+ Return to GISTEMP homepage
GISS Home
News & Features
Projects & Groups
Datasets & Images
Publications
Software
Education
Events
About GISS
NASA Official:Gavin A. Schmidt
Website Curator:Robert B. Schmunk
Page updated: 2017-01-17 10:55
NASA Privacy Policy & Important Notices
Contact Us
National Aeronautics and Space Administration
Goddard Institute for Space Studies
Go to Main Content (Accesskey 2)
Go to Site Menu (Accesskey 3)
Goddard Space Flight Center
Sciences and Exploration Directorate
Earth Sciences Division
GISS Surface Temperature Analysis
Analysis Graphs and Plots
This page is updated each month by an automatic procedure. Additional figures based on the GISTEMP analysis which require manual effort to create are available from Columbia University web pages maintained by Dr. Makiko Sato; see page 1 and page 2.
Instructions:
Click on the section titles below to hide or expose the respective graphs.
At the bottom left corner of every graph are 3 icons to “reset”, “move”, and “zoom” the image.
Hovering over a data point will display the year and data value.
The annual mean graphs are paired with a lowess smooth, i.e. a non-parametric regression analysis that relies on a k-nearest-neighbor model. In order to evaluate the function, we use a fraction of data corresponding to a ten year window of data, giving an effective smoothing of approximately five years.
For the option to select the strength of the smoothing and for seeing additional graphs click HERE.
Global Annual Mean Surface Air Temperature Change ▼
18801900192019401960198020002020-0.6-0.4-0.2-0.00.20.40.60.81.0NASA GISSTemperature Anomaly (C)Global Mean Estimates based on Land and Ocean DataAnnual MeanLowess Smoothing
Land-ocean temperature index, 1880 to present, with base period 1951-1980. The solid black line is the global annual mean and the solid red line is the five-year lowess smooth. The blue uncertainty bars (95% confidence limit) account only for incomplete spatial sampling. [This is an update of Fig. 9a in Hansen et al. (2010).]
Figure also available as a PNG, PDF, HTML, plain text, CSV, or of the visualizations current state.
18801900192019401960198020002020-1.0-0.50.00.51.01.5NASA GISSTemperature Anomaly (C)Global Mean Estimates based on Land Data onlyAnnual MeanLowess Smoothing
As in the original analysis, here only meteorological station data were used to estimate the global annual-mean surface air temperature deviation from the 1951-1980 mean. [This is an update of Plate 6(b) in Hansen et al. (2001).]
Figure also available as a PNG, PDF, HTML, plain text, CSV, or of the visualizations current state.
Annual Mean Temperature Change for Land and for Ocean ▶ Annual Mean Temperature Change for Three Latitude Bands ▶ Annual Mean Temperature Change for Hemispheres ▶ Global Monthly Mean Surface Temperature Change ▼
'1995200020052010201520200.20.40.60.81.01.21.41.61.8NASA GISSTemperature Anomaly (C)Monthly Mean Global Surface TemperatureMeteorological StationsLand-Ocean Temperature Index
'
Monthly mean global surface temperature anomalies vs. 1951-1980. The black dotted line shows estimates based on meteorological station data only; the red line shows estimates that additionally use ocean temperature data from ships and buoys. [This is an update of Figure 8 in Hansen et al. (1999).]
Figure also available as a PNG, PDF, HTML, plain text, CSV, or of the visualizations current state.
Annual Mean Temperature Change in the United States ▶ Seasonal Mean Temperature Change ▶+ Return to GISTEMP homepage
GISS Home
News & Features
Projects & Groups
Datasets & Images
Publications
Software
Education
Events
About GISS
NASA Official:Gavin A. Schmidt
Website Curator:Robert B. Schmunk
Page updated: 2017-01-17 10:55
NASA Privacy Policy & Important Notices
Contact Us
Kennet M Towe,
what you can see on the graphs linked below, made by US meteorologist?
The problem is in it, that temperaure in 2008-2010 dropped globaly, not only in Germany. You can see it on the graphs above. Explanation of this drop is in my works.
New minimum of solar activity is comeing like in years 2008-2010. It mean that lowering in global temperature is comeing... and global economic crisis...
LOD change- length of day is most important and it is correlated with jet streams, ENSO, NAO, eartquakes and vulcanic activity, AAM, OAM and solar activity and planet positions change, I mean gravitational changes in Solar System...
if you read my works on Researchgate, you will know my answer.
We need some time to create e model of evolution of Solar System and evolution of biosphere on Earth in response for change in Solar System.I thing I overcame in my works major obstacles to gain such knowledge.
Climate change and earthquakes are initially two completely different phenomena. For the prediction of the glacial - interglacial climatic periods, there are prediction models that are based in particular on ice core drilling in the Antarctic and have a total radius of about 450000 years, with a period spacing of about 150000 years. Therebyhas correlated not only the temperature but also the CO2 Ghealt.
Earthquake prediction is far more difficult because the number of location-dependent parameters is much larger. One recent method that has been put into the foreground is radon detection in the context of stress and displacement measurements.