Additional indications of steam stress deficit, cloud discount and local weather change – that’s that with that?

By Charles T Blaisdell PhD

Abstract

In addition to WUWT, more and more websites mention the cloud reduction as a source of climate change, but do not offer a source for cloud reduction. Wuwt was the first to publish the theory of this author: Cloud Reduction Global Warming, CRGW, (1). A critical part of the CRGW theory is the relationship between steam pressure deficet, VPD and cloud faction. The relationship is logical: If the water vapor concentration of the atmosphere approaches the due point, the likelihood of cloud formation should increase.

Former papers of this author have shown that steam pressure deficit and cloud faction are correlated loosely (low R^2). The measurement of the cloud faction seems to be the main uncertainty. This essay shows that the downwelling short wave, SW, radiation on the earth's surface together with atmospheric enthalpy, EN, correlate with the cloud faction and thus increase confidence in VPD as a predictor for the cloud faction. VPD and EN are necessary variables in the global warming of the cloud reduction, the CRGW, the model, which modeled the current climate change using Clausius -Clapeyon -related equations.

Cutting the data of the earth shows the change in the atmospheric VPD and the EN -against -wide degree with the cloud faction. The targets of the earth suggests that a lower land cover in one layer is related to the cloud cover next to the expected sunny corner.

But CO2 and VPD are confused. Which is guilty of climate change?

Introduction and background

The CRGW theory is simply as: less water that evaporates from land into the atmosphere leads to fewer clouds (fewer clouds, more sun). Earlier attempts to extract the correlation of VPD against cloud faction compared to month were unsuccessful due to the stronger forces between hemisphere. The annual data does not have hemispheric variability.

The annual data was cut into slices in 8 slices in order to obtain data from the temperature (temp), specific air humidity (SH) and cloud faction (from the Physical Science Laboratory of NASA, (4) and the climate researcher (3)). Temp and SH are the only variables required to calculate VPD and EN. En is a variable that measures the heat (potential energy) in the atmospheric air in the height of the temperature and SH data. De is the part of the energy atmosphere in the energy courtyard (changes in the earth are part of the energy adjustment of the earth, eei).

The equations used for the calculation of VPD and EN are:

Water saturation pressure, PWS, comes from Vaisala Oyj (2013), (2):

PWS = 6.116441 * 10^((Tem * 7.591386/(240.7263+temp))))) (in HPA) Gl. 1

(Note: The above is not an Arrhenius equation, but similar results.)

Water vapor, PW, print comes from Vaisala Oyj (2013) (2):

PW = SH *1000/(621.9907+SH) (in HPA) Gl 2
VPD = PWS – PW (in HPA) Gl. 3

Enthalpy, Entala, visala by Oyj (2013) (2):

En = temp*(1.006+0.00189*SH)+2.501*SH (in kj/kg (da)) Gl. 4

These equations are not simplified in Clausius Clapeyron format, but for more comfortable use with water.

An annual data used. The VPD or EN data are not derived from one point, but on average many data point over many months. Thus, a VPD of Say 4.0 HPA (which is not near the taupunkt) is the average of a wide point of about 10 to 0 hpa. Only the points near 0 could have clouds. The cloud faction includes rain clouds, high and low clouds and partially cloudy. The more data that goes into a temperature or a specific moisture number, the higher the likelihood of a precise prediction of the cloud faction.

New Cloud fraction data

New cloud faction, CF, data was found in the climate explorer (3), Figure 1. The large acceptance (from previous) in the average cloud faction is very striking. The decreasing tendency is somewhat lower than the old data (downloaded in 2021). The new CF data have a better R^2 and both old and new data seemed to have no acceptance in CF after 2003. The new data show the MT Pinatubo eruption (1991 to 1994) better than the old data.

Figure 1. New and old cloud faction data.

With a decreasing CF, one would expect that short waves, SW, would increase the radiation to the earth's surface. The VPD and the EN should also increase. Figure 2 suggests that all three (SW radiation, VPD and EN) do this. The data of Figure 2 from 2003 to 2021 indicate an increasing slope for these three variables if the CF diagram provides for a flat answer. This observation could be interpreted as a lack of sensitivity to the CF data or there is another energy source for the atmosphere. Since atmospheric SW radiation can only come from the sun, the lack of sensitivity in the CF data is the most likely explanation. If this is a real SW radiation on the surface, this can be a proxy for cf.

Figure 2 Comparison of the new CF with SW radiation, VPD and EN

A review of the incoming SW radiation fluctuations, Figure 3, suggests that some of the disorders in the radiation strength of the sun are brought into harmony with the SW radiation disorders on the surface, but the size of the disturbances is low compared to the increase in SW radiation on the surface. Figure 3 uses the same difference in the SW radiation as the SW to the surface diagram (to be precise that the use of differences for solar radiation should be ¼ of them (to enable the day/night and the curvature of the earth), which makes the solar disorders even less significant.

Figure 3. Comparison of CF, SW radiation with the surface and sunlight.

Cut the earth

The earth was shown in 20 ° C in Figure 4. The expected temperature profile shows a low temperature shift from 1970 to the period of 2020, whereby the maximum temperature change of both side of the angle that hits the sun is not surprising.

Figure 5 Cloud profile of the earth Figure 5 Cloud profile of the earth

Figures 6 and 7 examine the correlation of the cloud faction for VPD and EN (using the equations mentioned above).

Figure 6. VPD VS cloud faction Figure 7 VPD VS EN EN

The CRGW model for predicting climate change is based on a good correlation from VPD to the cloud faction and enthalpy. Figures 6 and 7 show that the search for correlation is available in the discount data of the earth and in the correlations used in the model. Figure 6 has an interesting point that does not seem to belong to belonging (circling in red), which is the only data point that has no country in its disc. With this curiosity, 8 was applied to show that the land volume correlated in a layer with the percentage of the temperature change in this disc. This is the expected correlation for CRGW theory: Since the change in ET comes from land, it should correlate with the land area.

Figure 8 Change of temperature. VS % Land Figure 9 Temperature change compared to the sun's angle.

Figure 9 shows the expected correlation of the sun angle to change the temperature. Note that the correlation to land is stronger than the sun's angle.

What about CO2?

In order to be fair, attempts were made to draw CO2 data for these graphics, everything that was found were NASA pictures. When interpreting the pictures, it was obvious that for CO2:

  • The annual CO2 concentration is lower in the southern hemisphere, the annual VPD is lower.
  • The annual CO2 is higher over land, the annual VPD is also higher.
  • The annual CO2 increases over time and is therefore an annual VPD

Pursues VPD CO2 or vice versa?

It should be undeniable that decreasing clouds cause the SW radiation to be jacked to the surface of the earth. The CRGW theory shows how VPD is increased by reducing the Evapotranspiration ET, on land, which in turn reduces the clouds. How does CO2 reduce clouds?

The IPCC works on models (5) that use radiation drive, RFS and theorized heat that are generated in the upper atmosphere to reduce clouds – no published explanation for the reduction of the cloud.

discussion

The data of the earth from 1970 to 2024 reinforce the correlations used in the CRGW model.

Over time, the surfaces -SW radiation increases together with VPD and EN to trust that the cloud faction or thinning changes when VPD changes.

CO2 and VPD are confused. In order to understand and manage climate change, science must find out which responsibility is. Man knew about CO2 and his greenhouse properties before the cloud reduction was observed, and the VPD and ET relationship in CRGW theory was proposed. It is therefore understandable that CO2 theory takes most of the scientific discussion of climate change. It should be scientifically discussed in order to be fair to the “scientific methods” in order to enable a theory to rise to the top or die from its own lack of scientific weight. When is CRGW the turn?

bibliography

  1. “Cloud reduction of global warming, CRGW 101. A competitive theory for global warming of the CO2” (2025), by Charles Blaisdell, Web -Link -Cloud -Reduction Global Warming, CRGW 101. A competitive theory for global warming of CO2 relatives.
  2. “Moisture conversion formulas” by Vaisala Oyj (2013) Web-Link-moisture_conversion_Formulas_b210973en-f (hateChability.com)
  1. Monthly medium -sized times of physics science: Noaa Physical Sciences Laboratory
  2. CMIP6: The next generation of climate models explained by Zeke Hausfather Web -Link

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