Canada Summer Daily Low Temperature Trends, 1900-2023

December 5th, 2025

NOTE: This is the Tmin (daily minimum temperature) version of the Canada temperature trend results I posted yesterday , which were for Tmax (daily maximum temperatures). These results are quite different: whereas the high temperatures have seen essentially no warming trends across southern Canada since 1900, the nighttime temperatures have warmed in each one of the 6 provinces. In the next few days I will post just how much these observed Canadian temperature trends depart from the CMIP6 climate model simulations, which are the primary tool being used to change energy policy.

SUMMARY

  1. Over the period 1900-2023, the average summer (JJA) daily low temperatures across the six southernmost large provinces of Canada (British Columbia, Alberta, Saskatchewan, Manitoba, Ontario, and Quebec) show warming trends, averaging +0.14 C/decade.
  2. The strongest warming (+0.18 C/decade) occurred for the coolest summer nights (coolest 3 days per summer month), while the warmest summer nights warmed at +0.10 C/decade.
  3. Whereas 7 of the 10 warmest summer daytime (high) temperatures occurred in the 1930s, 8 of 10 of the warmest nighttime (low) temperatures have occurred since 2003.
  4. Results for the 6 provinces separately are also presented.

Introduction

Below I present analyses of summertime daily low temperature (Tmin) trends from all available stations in the 6 southernmost large provinces, based upon the daily Global Historical Climate Network (GHCNd) dataset. These are the 6 provinces that border the Lower 48, and contain 86% of Canada’s population. (The results for daily high temperatures [Tmax] were posted yesterday.)

I simply averaged together the relevant statistics (monthly average Tmin, average of the warmest 3 days’ Tmin in each month, and average of the coolest 3 days’ Tmin in each month) from all available stations. Each station had to have at least 90% of the days in a month reporting data for that month to be included in the analysis.

Since stations come and go over the years, and since there are some large terrain elevation variations in western Canada, I performed an elevation correction to these Tmin metrics, in all provinces, using the departure of each year’s station-average elevation from the all-year (1900-2023) station average elevation, using a lapse rate of 6.5 deg. C per km. Corrections for average changes in station-average latitude were not done, which might be necessary in the winter since there are large North-South gradients in air temperature then. Such corrections in the summer would likely be small, but I can revisit that nuance at a later time.

Results

I’ll start with the 6-province average Tmin temperature time series, along with the total number of stations available in each year. In all plots that follow, I list the linear temperature trends, but plot a 3rd order polynomial fit to the data to help capture any multi-decadal variations not well reflected in simple linear trends. In all provinces the number of stations increases from 1900 to the 1970s, then decreases substantially in recent years.

As can be seen in the first plot (averages for all 6 major provinces), there has been an average summertime warming trend of +0.14 C/decade

I have also annotated 2021, which experienced the extreme heatwave in late June in western Canada. That event helped to push the warmest 3-day average Tmin metric (red curve) to the highest average temperature of any year since 1900. (Just to be clear, this is the warmest 3 days in each month in *minimum* daily temperature [Tmin]).

Notably, 8 of the 10 warmest summers in the all-days average Tmin have occurred since 2003. But, as I will show in the next few days, numbers matter: these warming trends are well below what the CMIP6 climate models produce for the same region of Canada.

Individual Provinces

The results for the individual provinces follow. I present them without comment; my Canadian friends can peruse the results for their home province if they wish. These are presented from West to East:

Canada Summer Daily High Temperature Trends, 1900-2023

December 4th, 2025

SUMMARY

  1. Over the period 1900-2023, the average summer (JJA) daily high temperatures across the six southernmost large provinces of Canada (British Columbia, Alberta, Saskatchewan, Manitoba, Ontario, and Quebec) show no trend.
  2. The average of the 3 hottest days’ in each month month show a slight downward trend, while the 3 coolest days’ average temperature per month shows a slight upward trend.
  3. Recent years have generally averaged as warm as was experienced in the 1920s to 1940s, with 7 of the 10 hottest summers occurring in the 1930s.
  4. Results for the 6 provinces separately are also presented.

Introduction

Given media reports, it is likely that most Canadians think they have been experiencing unprecedented summer warmth in the last couple of decades. But this isn’t true.

Below I present analyses of daily high temperatures (Tmax) from all available stations in the 6 southernmost large provinces, based upon the daily Global Historical Climate Network (GHCNd) dataset. These are the 6 provinces that border the Lower 48, and contain 86% of Canada’s population.

I simply averaged together the relevant statistics (monthly average Tmax, average of the warmest 3 days in each month, and average of the coolest 3 days in each month) from all available stations. Each station had to have at least 90% of the days in a month reporting data for that month to be included in the analysis.

Since stations come and go over the years, and since there are some large terrain elevation variations in western Canada, I performed an elevation correction to these Tmax metrics, in all provinces, using the departure of each year’s station-average elevation from the all-year (1900-2023) station average elevation, using a lapse rate of 6.5 deg. C per km. Corrections for average changes in station-average latitude were not done, which might be necessary in the winter since there are large North-South gradients in air temperature then. Such corrections in the summer would likely be small, but I can revisit that nuance at a later time.

Results

I’ll start with the 6-province average Tmax temperature time series, along with the total number of stations available in each year. In all plots that follow, I list the linear temperature trends, but plot a 3rd order polynomial fit to the data which captures the dominant feature of relative warmth in the 1920s to 1940s and in the most recent decades, but relative coolness in the intervening decades. In all provinces the number of stations increases from 1900 to the 1970s, then decreases substantially in recent years.

As can be seen in the first plot (averages for all 6 major provinces), there has been no long-term linear trend in the average summertime Tmax (0.00 deg. C/decade), a small downward trend in the 3 hottest days per month (-0.02 deg. C/decade), and a slight warming trend in the 3 coolest days per month (+0.03 deg. C/decade). Relative warmth around the 1930s is evident, as well as warming in recent years.

I have also annotated 2021, which experienced the extreme heatwave in late June in western Canada. While that pushed the hottest 3-day average Tmax metric (red curve) to the highest average temperature of any year since 1900, the 3-month (all-days) average summer Tmax temperatures was very close to other years (3rd place, behind 1961 and 1919).

Notably, 7 of the 10 hottest summers occurred in the 1930s.

Individual Provinces

The results for the individual provinces follow. I present them without comment; my Canadian friends can peruse the results for their home province if they wish. These are presented from West to East:

UAH v6.1 Global Temperature Update for November, 2025: +0.43 deg. C

December 2nd, 2025

The Version 6.1 global average lower tropospheric temperature (LT) anomaly for November, 2025 was +0.43 deg. C departure from the 1991-2020 mean, down from the October, 2025 value of +0.53 deg. C.

The Version 6.1 global area-averaged linear temperature trend (January 1979 through November 2025) remains at +0.16 deg/ C/decade (+0.22 C/decade over land, +0.13 C/decade over oceans).

The following table lists various regional Version 6.1 LT departures from the 30-year (1991-2020) average for the last 23 months (record highs are in red).

YEARMOGLOBENHEM.SHEM.TROPICUSA48ARCTICAUST
2024Jan+0.80+1.02+0.58+1.20-0.19+0.40+1.12
2024Feb+0.88+0.95+0.81+1.17+1.31+0.86+1.16
2024Mar+0.88+0.96+0.80+1.26+0.22+1.05+1.34
2024Apr+0.94+1.12+0.76+1.15+0.86+0.88+0.54
2024May+0.78+0.77+0.78+1.20+0.05+0.20+0.53
2024June+0.69+0.78+0.60+0.85+1.37+0.64+0.91
2024July+0.74+0.86+0.61+0.97+0.44+0.56-0.07
2024Aug+0.76+0.82+0.69+0.74+0.40+0.88+1.75
2024Sep+0.81+1.04+0.58+0.82+1.31+1.48+0.98
2024Oct+0.75+0.89+0.60+0.63+1.90+0.81+1.09
2024Nov+0.64+0.87+0.41+0.53+1.12+0.79+1.00
2024Dec+0.62+0.76+0.48+0.52+1.42+1.12+1.54
2025Jan+0.45+0.70+0.21+0.24-1.06+0.74+0.48
2025Feb+0.50+0.55+0.45+0.26+1.04+2.10+0.87
2025Mar+0.57+0.74+0.41+0.40+1.24+1.23+1.20
2025Apr+0.61+0.77+0.46+0.37+0.82+0.85+1.21
2025May+0.50+0.45+0.55+0.30+0.15+0.75+0.99
2025June+0.48+0.48+0.47+0.30+0.81+0.05+0.39
2025July+0.36+0.49+0.23+0.45+0.32+0.40+0.53
2025Aug+0.39+0.39+0.39+0.16-0.06+0.69+0.11
2025Sep+0.53+0.56+0.49+0.35+0.38+0.77+0.32
2025Oct+0.53+0.52+0.55+0.24+1.12+1.42+1.67
2025Nov+0.43+0.59+0.27+0.24+1.32+0.78+0.37

The full UAH Global Temperature Report, along with the LT global gridpoint anomaly image for November, 2025, and a more detailed analysis by John Christy, should be available within the next several days here.

The monthly anomalies for various regions for the four deep layers we monitor from satellites will be available in the next several days at the following locations:

Lower Troposphere

Mid-Troposphere

Tropopause

Lower Stratosphere

UAH v6.1 Global Temperature Update for October, 2025: +0.53 deg. C

November 3rd, 2025

The Version 6.1 global average lower tropospheric temperature (LT) anomaly for October, 2025 was +0.53 deg. C departure from the 1991-2020 mean, unchanged from the September, 2025 value.

The Version 6.1 global area-averaged linear temperature trend (January 1979 through October 2025) remains at +0.16 deg/ C/decade (+0.22 C/decade over land, +0.13 C/decade over oceans).

The following table lists various regional Version 6.1 LT departures from the 30-year (1991-2020) average for the last 22 months (record highs are in red).

YEARMOGLOBENHEM.SHEM.TROPICUSA48ARCTICAUST
2024Jan+0.80+1.02+0.58+1.20-0.19+0.40+1.12
2024Feb+0.88+0.95+0.81+1.17+1.31+0.86+1.16
2024Mar+0.88+0.96+0.80+1.26+0.22+1.05+1.34
2024Apr+0.94+1.12+0.76+1.15+0.86+0.88+0.54
2024May+0.78+0.77+0.78+1.20+0.05+0.20+0.53
2024June+0.69+0.78+0.60+0.85+1.37+0.64+0.91
2024July+0.74+0.86+0.61+0.97+0.44+0.56-0.07
2024Aug+0.76+0.82+0.69+0.74+0.40+0.88+1.75
2024Sep+0.81+1.04+0.58+0.82+1.31+1.48+0.98
2024Oct+0.75+0.89+0.60+0.63+1.90+0.81+1.09
2024Nov+0.64+0.87+0.41+0.53+1.12+0.79+1.00
2024Dec+0.62+0.76+0.48+0.52+1.42+1.12+1.54
2025Jan+0.45+0.70+0.21+0.24-1.06+0.74+0.48
2025Feb+0.50+0.55+0.45+0.26+1.04+2.10+0.87
2025Mar+0.57+0.74+0.41+0.40+1.24+1.23+1.20
2025Apr+0.61+0.77+0.46+0.37+0.82+0.85+1.21
2025May+0.50+0.45+0.55+0.30+0.15+0.75+0.99
2025June+0.48+0.48+0.47+0.30+0.81+0.05+0.39
2025July+0.36+0.49+0.23+0.45+0.32+0.40+0.53
2025Aug+0.39+0.39+0.39+0.16-0.06+0.69+0.11
2025Sep+0.53+0.56+0.49+0.35+0.38+0.77+0.32
2025Oct+0.53+0.52+0.55+0.24+1.12+1.42+1.67

The full UAH Global Temperature Report, along with the LT global gridpoint anomaly image for October, 2025, and a more detailed analysis by John Christy, should be available within the next several days here.

The monthly anomalies for various regions for the four deep layers we monitor from satellites will be available in the next several days at the following locations:

Lower Troposphere

Mid-Troposphere

Tropopause

Lower Stratosphere

Death Valley World Record of 134 deg. F Debunked in New Paper

October 11th, 2025

Our paper entitled Death Valley Illusion: Evidence Against the 134 Deg. F World Record has been published as an early online release in the Bulletin of the American Meteorological Society. The authors are myself, Dr. John Christy, and climatologist and storm chaser Bill Reid.

Several meteorologists over the years have questioned the plausibility of the 134 deg. F world record hottest temperature recorded at Greenland Ranch, California, on July 10, 1913, but quantitative evidence has been lacking. We used 100 years of temperatures recorded at higher-elevation (and thus cooler) locations to find a range of temperatures that most likely occurred on that date.

The answer was 120 (+/-2) deg. F, typical for Death Valley in July, and well below the world record value of 134 deg. F. I have previously blogged on the evidence against this value and how and why it might have been recorded.

While I remain a skeptic of anthropogenic climate change being a net threat to human health and welfare, unlike some other skeptics I have never considered a temperature on a single day (especially over 100 years ago) as being any kind of evidence related to climate change. We follow the data, which is what we did in this new study.

NOTE: If you are commenting here for the first time, your first comment will need to be approved by me before it appears. That might take a day or a week, depending upon how busy I am, so be patient.

UAH v6.1 Global Temperature Update for September, 2025: +0.53 deg. C

October 2nd, 2025

The Version 6.1 global average lower tropospheric temperature (LT) anomaly for September, 2025 was +0.53 deg. C departure from the 1991-2020 mean, up from the August, 2025 anomaly of +0.39 deg. C.

The Version 6.1 global area-averaged linear temperature trend (January 1979 through September 2025) remains at +0.16 deg/ C/decade (+0.22 C/decade over land, +0.13 C/decade over oceans).

The following table lists various regional Version 6.1 LT departures from the 30-year (1991-2020) average for the last 21 months (record highs are in red).

YEARMOGLOBENHEM.SHEM.TROPICUSA48ARCTICAUST
2024Jan+0.80+1.02+0.58+1.20-0.19+0.40+1.12
2024Feb+0.88+0.95+0.81+1.17+1.31+0.86+1.16
2024Mar+0.88+0.96+0.80+1.26+0.22+1.05+1.34
2024Apr+0.94+1.12+0.76+1.15+0.86+0.88+0.54
2024May+0.78+0.77+0.78+1.20+0.05+0.20+0.53
2024June+0.69+0.78+0.60+0.85+1.37+0.64+0.91
2024July+0.74+0.86+0.61+0.97+0.44+0.56-0.07
2024Aug+0.76+0.82+0.69+0.74+0.40+0.88+1.75
2024Sep+0.81+1.04+0.58+0.82+1.31+1.48+0.98
2024Oct+0.75+0.89+0.60+0.63+1.90+0.81+1.09
2024Nov+0.64+0.87+0.41+0.53+1.12+0.79+1.00
2024Dec+0.62+0.76+0.48+0.52+1.42+1.12+1.54
2025Jan+0.45+0.70+0.21+0.24-1.06+0.74+0.48
2025Feb+0.50+0.55+0.45+0.26+1.04+2.10+0.87
2025Mar+0.57+0.74+0.41+0.40+1.24+1.23+1.20
2025Apr+0.61+0.77+0.46+0.37+0.82+0.85+1.21
2025May+0.50+0.45+0.55+0.30+0.15+0.75+0.99
2025June+0.48+0.48+0.47+0.30+0.81+0.05+0.39
2025July+0.36+0.49+0.23+0.45+0.32+0.40+0.53
2025Aug+0.39+0.39+0.39+0.16-0.06+0.69+0.11
2025Sep+0.53+0.56+0.49+0.35+0.38+0.77+0.32

The full UAH Global Temperature Report, along with the LT global gridpoint anomaly image for September, 2025, and a more detailed analysis by John Christy, should be available within the next several days here.

The monthly anomalies for various regions for the four deep layers we monitor from satellites will be available in the next several days at the following locations:

Lower Troposphere

Mid-Troposphere

Tropopause

Lower Stratosphere

The Hottest Summer Days in the U.S. Have Barely Warmed in the Last 40 Years

September 18th, 2025

The total warming of the hottest 3 days in each summer month averaged across 400 mostly-airport weather stations is only 1.2 deg. F over 40 years.

I recently posted about the weather observations from Reagan National Airport that showed the warmest days of summer have experienced no statistically significant warming in the last 40 years, despite this being the period of maximum radiative forcing from increasing atmospheric CO2.

Of course, you would never know this based upon media reports… in fact, most people are probably under the impression that our hottest days are rapidly getting hotter.

One commenter on my post (correctly) pointed out that what I presented was just one weather station. Well, now I have processed ~400 mostly-airport (WBAN) weather stations and over 2,000 cooperative observer (COOP) stations across the U.S.

Here’s a plot of those station locations.

The period I’m addressing is the last 40 years (1985-2024) because we have Landsat-based Impervious Surface (IS) cover data at high spatial resolution (30 m) for those years, and I’m looking at how recent warming trends are impacted by the urban heat island (UHI) effect. IS is a percentage cover of Landsat pixels by roads, parking lots, buildings, and other human development impervious surfaces.

Daily High Temperature (Tmax) Results

I don’t like “heat waves” as a statistical quantity. It is “binary”, which means it has an arbitrarily chosen threshold of temperature and number of days of duration, and those can be manipulated to give very different results for heat wave trends.

Instead, I computed a statistic which has no threshold, is always the same number of days, and occurs every month: the average of the 3 warmest (and 3 coolest) days in each summer month (June, July, August) during 1985-2024.

I can then compute trends in those, just like is usually done for the average of all daily Tmax (or Tmin). I did this separately for the mostly-airport (WBAN) stations which are well maintained for aviation safety reasons, and for the COOP stations which have varying and mostly unknown levels of quality control, siting, etc.

Since people are used to looking at time series, we will start with the multi-station average summer temperatures for 3 of the 9 U.S. climate regions as defined by NOAA/NWS. From top to bottom, these are the Upper Midwest, the Northeast, and the Southeast; I have offset the warmest-3 and coolest-3 day results for legibility:

Note how much more slowly the warmest 3 days per month are warming compared to the coolest 3 days. As an example, for the Northeast U.S. climate region (PA/MD and northeastward), the hottest summer days have been warming at an average rate of 0.10 C/decade, which equates to 0.7 deg. F over 40 years. All 9 climate regions exhibited this feature, by varying amounts. Again, these results are all for daily maximum temperatures, Tmax.

Next, I took all of the stations in the U.S., and split them into 7 equal-size groups of increasing IS growth which I am using as a proxy for urbanization for the purposes of temperature impacts of the urban environment. These plots are different: The temperature trend is on the vertical axis, while the category of urbanization growth is on the horizontal axis. Again, these results are for Tmax; the results for WBAN stations are on the left, and for COOP stations are on the right:

There is little dependence of the 40-year temperature trends on the rate of growth in urbanization (IS trend), maybe just slight upward slope with the most rapidly urbanizing stations experiencing a little higher warming trend. The generally higher trends at low values of IS growth (especially in the COOP data) are because most of those stations are in the western U.S., where warming trends have been greater. I wouldn’t put too much faith in the absolute values of the COOP trends because no time-of-observation (TOBS) adjustment has been made. But that should not affect the spread between warmest and coolest days.

What really stands out is the fact that the coolest summer days are warming much faster than the warmest summer days. The difference in warming trends is about 0.35 C/decade in the WBAN data, a little less in the COOP stations. This suggests a moderation of summer temperatures, with less variability.

Averaged over all 400 WBAN stations, the warming trend equates to only 1.2 deg. F of warming in 40 years. I would wager this weak upward trend in the warmest summer days is much less than what most people would expect, given media coverage of “heat waves”.

And if you are wondering how the trend in the average of all Tmax temperatures in the month compares to NOAA’s official homogenized, area-averaged dataset, they are about the same, to within 0.01 or 0.02 deg. C/decade

Daily Low Temperature (Tmin) Results

As seen in the next plot, the effects of increasing urbanization are much more pronounced in daily minimum (Tmin) than daily maximum (Tmax) temperatures, with the greatest warming trends occurring at stations with the fastest growth in impervious surfaces.

Note that these plots allow one to estimate what the station average warming trends would be in the absence of urbanization by just looking at where the regression lines intersect the vertical axis (IS trend = 0). Remember, the 7 IS trend groups have equal numbers of stations. If those values are used for the “climate signal” (as opposed to the increasing urbanization signal), the trends are not too different from those in Tmax

Conclusion

My main takeaway is that, contrary to what we have been told, there has been very little warming of the hottest summer days averaged across the U.S. in the last 40 years. The second takeaway is that nighttime (Tmin) temperatures are warming rapidly with urbanization, but when those statistics are extrapolated to no growth in urbanization, the average Tmin warming trend is greatly reduced, especially for rapidly growing locations.

The Hottest Summer Days in D.C. Have Not Gotten Hotter in Last 40 Years

September 2nd, 2025

…but the coolest summer nights have warmed by 5 deg. F.

John Christy and I continue to examine U.S. air temperature trends, especially those in summer, and John has recently been looking at “heat wave” statistics.

My interest is in determining how much the urban heat island (UHI) effect has impacted reported warming trends. Last year we published a paper using population density as a proxy for urbanization, and found that about 60% of U.S. urban and suburban warming trends in Tavg (the average of the daily maximum [Tmax] and minimum [Tmin] temperatures) since 1895 in the “raw” (non-adjusted) temperature data could be accounted for by urbanization.

But we also found that relationship largely disappeared by the 1970s, with little warming since then being accounted for by increases in population density.

Landsat Impervious Surface Data

We used population density in that study because the datasets are global and extend back to the 1800s (and even earlier). But the most direct physical relationship to UHI warming would be the coverage of the area around the thermometer by impervious surfaces (IS). Those data are now available at 30 meter resolution from Landsat for each year between 1985 and 2024 (40 years). IS might well reveal UHI effects in cases where population density is no longer increasing but wealth has increased (more air conditioning, Dollar Generals, etc.)

But I’m not going to show IS data today, that’s for another time. I’m only explaining how I got here.

D.C. Urban Warming Trends: The Difference is Like Day and Night

For now I’m examining metro areas (which is what the EPA Heat Wave papers also do), using airport ASOS measurements which is what the National Weather Service and FAA mostly rely upon. These systems are well-maintained since their primary purpose is to support air traffic safety.

I started with the center of America’s universe, Washington D.C. And I also decided that something better than a “heat wave” index was needed.

The heat wave (like pornography) is difficult to define, but you know it when you see it. How many days in a row constitute a heat wave? And how hot do those days have to get? Above the 85th percentile? 90th percentile? Those questions do not have definitive answers.

Also, by choosing a binary variable, there is no gray area available for days that are almost a heat wave (oh, sorry, there were only three days above 100 deg. F, so you didn’t meet the 4-day threshold). Such definitions lead to dodgy statistics, such as computed trends in heat waves,

So, I decided (as a meteorologist) that the hottest days in each month make more sense to keep track of for climate trends. I decided on the average of the 3 hottest daily maximum temperatures in each summer month (June, July, and August) as a potentially useful metric, which is approximately the hottest 10% of the days in the month. This metric always exists, every month, every year, and it always has 3 days. This is good for statistical analysis.

But then I thought, why stop there? What about the 3 coolest Tmax days each month?

Which then led to, “What about the warmest and coolest 3 days minimum temperature (Tmin) measurements?”

So, I started with Washington D.C., Reagan National Airport, which is used by your favorite congresspersons and presidents (as well as the public) to keep track of how hot it’s getting.

The results surprised me. Here are the temperature trends in those different categories. What is amazing is that the coolest summer nights in DC have warmed 10 times faster than the hottest summer days:

In fact, the trend in the hottest days’ temperatures is not even statistically significant, at only +0.12 deg. F per decade, which is just under a total of 0.5 deg. F warming in the last 40 years. No Boomer would notice that in their lifetime.

But look at those nighttime temperatures! The coolest nights have warmed by almost 5 deg. F in the last 40 years. This is clearly dominated by the UHI effect, since climate models tell us that days and nights should be warming at much closer to the same rate.

Now, Washington D.C. might be an outlier for urban areas. I’m just starting down this road, so we shall see. But I’ll bet most people would not have expected these results if they have been watching the local D.C. TV stations’ weather and news coverage.

UAH v6.1 Global Temperature Update for August, 2025: +0.39 deg. C

September 2nd, 2025

The Version 6.1 global average lower tropospheric temperature (LT) anomaly for August, 2025 was +0.39 deg. C departure from the 1991-2020 mean, up a little from the July, 2025 anomaly of +0.36 deg. C.

The Version 6.1 global area-averaged linear temperature trend (January 1979 through August 2025) remains at +0.16 deg/ C/decade (+0.22 C/decade over land, +0.13 C/decade over oceans).

The following table lists various regional Version 6.1 LT departures from the 30-year (1991-2020) average for the last 20 months (record highs are in red).

YEARMOGLOBENHEM.SHEM.TROPICUSA48ARCTICAUST
2024Jan+0.80+1.02+0.58+1.20-0.19+0.40+1.12
2024Feb+0.88+0.95+0.81+1.17+1.31+0.86+1.16
2024Mar+0.88+0.96+0.80+1.26+0.22+1.05+1.34
2024Apr+0.94+1.12+0.76+1.15+0.86+0.88+0.54
2024May+0.78+0.77+0.78+1.20+0.05+0.20+0.53
2024June+0.69+0.78+0.60+0.85+1.37+0.64+0.91
2024July+0.74+0.86+0.61+0.97+0.44+0.56-0.07
2024Aug+0.76+0.82+0.69+0.74+0.40+0.88+1.75
2024Sep+0.81+1.04+0.58+0.82+1.31+1.48+0.98
2024Oct+0.75+0.89+0.60+0.63+1.90+0.81+1.09
2024Nov+0.64+0.87+0.41+0.53+1.12+0.79+1.00
2024Dec+0.62+0.76+0.48+0.52+1.42+1.12+1.54
2025Jan+0.45+0.70+0.21+0.24-1.06+0.74+0.48
2025Feb+0.50+0.55+0.45+0.26+1.04+2.10+0.87
2025Mar+0.57+0.74+0.41+0.40+1.24+1.23+1.20
2025Apr+0.61+0.77+0.46+0.37+0.82+0.85+1.21
2025May+0.50+0.45+0.55+0.30+0.15+0.75+0.99
2025June+0.48+0.48+0.47+0.30+0.81+0.05+0.39
2025July+0.36+0.49+0.23+0.45+0.32+0.40+0.53
2025Aug+0.39+0.39+0.39+0.16-0.06+0.69+0.11

The full UAH Global Temperature Report, along with the LT global gridpoint anomaly image for August, 2025, and a more detailed analysis by John Christy, should be available within the next several days here.

The anomaly in the tropics (20N – 20S) has dropped considerably, to +0.16 deg. C. The U.S. was below the 30-year average in August.

The monthly anomalies for various regions for the four deep layers we monitor from satellites will be available in the next several days at the following locations:

Lower Troposphere

Mid-Troposphere

Tropopause

Lower Stratosphere

Notice of Availability: A Critical Review of Impacts of Greenhouse Gas Emissions on the U.S. Climate

August 2nd, 2025

The comment portal at the Federal Register is now open for comments relating to our DOE report. If you think we weren’t alarmist enough, post your comment and explain why. If you think we were too alarmist, post your comment and explain why. I believe the comment period is open for 30 days.