Month: November 2017

BoM summer Outlook axed in a fortnight now “lives at risk” due Vic floods

Summer rain Outlook 16 Nov foretold near average for SW Aust. Summer rain Outlook 30 Nov better but already wrong. OK so anybody can make mistakes – lets check what they forecast for November rain on Oct 12th and then on Oct 26th. Here is map of November rain percentages so the later Outlook on 26th Oct was worse than the one on the 12th. Taxpayers could save $millions slashing BoM budget – we could get forecasting from www. Let BoM do core job of running our weather observations network properly.

via Errors in IPCC climate science

November 30, 2017 at 11:48PM


My Favo(u)rite Tree In England

My Favo(u)rite Tree In England

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via The Deplorable Climate Science Blog

November 30, 2017 at 06:13PM

Polar bears refused to die as predicted and this is how the propheseers respond

By Paul Homewood


When they can’t win with facts, they resort to smear tactics, as Susan Crockford has just found out.


The polar bear experts who predicted tens of thousands of polar bears would be dead by now (given the ice conditions since 2007) have found my well-documented criticisms of their failed prophesies have caused them to lose face and credibility with the public.


Fig 3 Sea ice prediction vs reality 2012

Predicted sea ice changes (based on 2004 data) at 2020, 2050, and 2080 that were used in 2007 to predict a 67% decline in global polar bear numbers vs. an example of the sea ice extent reality experienced since 2007 (shown is 2012). See Crockford 2017 for details.

Although the gullible media still pretends to believe the doomsday stories offered by these researchers, the polar bear has fallen as a useful icon for those trying to sell a looming global warming catastrophe to the public.


Here’s what happened:

I published my professional criticisms on the failed predictions of the polar bear conservation community in a professional online scientific preprint journal to which any colleague can make a comment, write a review, or ask a question (Crockford 2017). Since its publication in February 2017, not one of the people whose work is referred to in my paper bothered to counter my arguments or write a review.

They ignored me, perhaps hoping the veracity of my arguments would not have to be addressed. But it has not turned out that way. Now, too late, they have chosen a personal attack in the journal BioScience (Harvey et al. 2018 in press).

Harvey et al. (“Internet blogs, polar bears, and climate-change denial by proxy”) pretends to be a scientific analysis on internet blog posts about polar bears, climate change, and Arctic sea ice but single me out for their peculiar brand of “scientific” smearing because most of the polar bear content on the blogs they examined (80%, they estimate) came from me.

You wouldn’t know from the paper, for example, that I am a professional zoologist with a Ph.D. in evolution (with polar bears in my dissertation), only that the GWPF describes me as “an expert on polar bear evolution” (as if this is probably a lie).

The authors state: “Crockford vigorously criticize, without supporting evidence, the findings of several leading researchers who have studied polar bears in the field for decades.”

Anyone who reads my blog or has read my paper knows this is the opposite of what I do.

The fact that I criticize with supporting evidence is precisely why these “leading researchers” feel so threatened and why the paper had to be written.

These misrepresentations alone tell you all you need to know about the motive behind the paper and the accuracy of the rest of their statements about me and others.

The long list of co-authors joining in on this attack includes several psychologists, one of whom has written similar papers before, as well as serial-litagator/climate change champion Michael Mann:

Harvey et al. 2018 in press climate denial by proxy using polar bears_Title

BioScience is an interesting choice for this “Forum” paper: I counted only 4 polar bear research papers in this journal since 2004  but 11 papers on “climate change denial” since 2010 (not including this one). In other words, few polar bear scientists would usually read this journal but many people interested in the “problem” of “climate change denial” would seek it out.

You can read it here (open access).


It is little surprise that we find the clownish Michael Mann on the list of authors, even though he knows nothing about polar bears.

It all goes to show just how desperate the climate mafia are getting that they have to resort to such shoddy tactics.


November 30, 2017 at 04:33PM

Causes and predictability of the exceptionally active 2017 Atlantic hurricane season

by Jim Johnstone and Judith Curry

The good news: the 2017 Atlantic hurricane season is over.  The bad news: it was an extremely active season, with substantial damage in the U.S. and the Caribbean islands. What caused this extremely active hurricane season, and was it foreseeable?

The 2017 North Atlantic hurricane season was unusually active, attaining twice the normal levels of Accumulated Cyclone Energy (ACE) and US hurricane landfalls. The 2017 season ranks 7th in overall activity among all years since 1920 (Fig. 1A), reaching an ACE total of 226 that far exceeds the mean level of 105 from 1980 to 2016. Over the same period, 1.5 hurricanes, on average, reached the US coastline each year, while three (Harvey, Irma and Nate) made landfall in 2017 (Fig. 1B).Figure 1. Historical North Atlantic hurricane variability, 1920-2017. A. North Atlantic Accumulated Cyclone Energy (ACE). B. United States hurricane landfalls.

CFAN’s inaugural hurricane forecasts, issued in early June and early August 2017, predicted above-normal ACE and US landfalls, but did not foresee the exceptional degree of overall North hurricane activity.

                                    ACE                            # US landfalls

Observed                     226                            3

Jun 2017 fcst              135 (100-170)             3 (2-4)

Aug 2017 fcst             130 (100-160)             2 (1.5-2.5)

This report is a ‘hindsight’ analysis of the causes of the exceptionally active 2017 Atlantic hurricane season, addressing the question of whether this high level of activity was predictable. Such analyses help CFAN improve its seasonal forecast methodology.

North Atlantic hurricane behavior differs considerably from year to year due to changing ocean-atmosphere conditions at regional and global scales. While ordinary weather events are challenging to predict more than several days in advance, late-summer hurricane activity responds to processes that tend to evolve slowly over months, allowing probabilistic forecasts to be made 1 to 2 seasons ahead, and perhaps even earlier.

La Nina

The El Niño – Southern Oscillation (ENSO) is a well-known source of North Atlantic hurricane variability. ENSO originates from coupled ocean-atmosphere processes spanning the vast tropical Pacific Ocean, alternating every few years between warm El Niño and cool La Niña states and generating characteristic changes in temperature and weather over much of the globe. When La Niña conditions are present during the late-summer (August-October, ASO) peak of the North Atlantic hurricane season, above-normal activity typically occurs. La Niña is commonly defined by conditions of below-normal sea surface temperatures (SSTs) in the equatorial eastern Pacific, but also involves large-scale atmospheric anomalies that tend to reduce wind shear high above the tropical North Atlantic, enabling cyclones to achieve greater vertical extent and intensify into hurricane-level storms.

Figure 2 shows the composite pattern of ASO SST anomalies during recent highly-active hurricane seasons (ACE ≥ 175) from 1980 to 2016. La Niña’s signature pattern of cool equatorial Pacific water is apparent during summers with ACE totals greater than 175 (1995, 1998, 1999, 2003, 2004 and 2005) (Fig. 2A), and those with 3 or more US hurricane landfalls (1985, 1989, 1998, 1999, 2004, 2005, 2008) (Fig. 2B). Warm SSTs in the tropical North Atlantic also contribute to greater activity by promoting instability in the overlying atmosphere and facilitating convergence of low-level winds, moisture and energy from surrounding ocean areas. La Niña conditions (Fig. 2C) and warm Atlantic surface temperatures were both in place during ASO 2017 (Fig. 2D), accounting in part for the heightened hurricane activity. CFAN’s June ACE forecast of 134 was based partly on early identification of these developing SST tendencies.

Figure 2. Patterns of August-October (ASO) sea surface temperature (SST) anomalies associated with enhanced North Atlantic hurricane activity (1980-2017). A. ACE ≥ 175 B. US Landfalls ≥ 3. C. La Niña (Niño 3.4 SST < -0.7σ). D. 2017.

Underpredictions of high 2017 hurricane activity can be explained in part by the unusually rapid growth of La Niña during early summer, reflected by a steep 1°C decline in east-central Pacific (Niño 3.4) SST from April to August (Fig. 3A). Summer cooling of this magnitude generally occurs with the termination of large winter El Niño events and oscillatory reversals to La Niña conditions by the following winter. In 2017, however, La Niña cooling developed uncharacteristically from neutral winter ENSO conditions, leading to summer ENSO changes with a magnitude unwitnessed in the past several decades (Fig. 3B).Figure 3. Summer sea surface temperature (SST) changes and anomalies. A. SST changes (°C) from May to August 2017. Box encloses the Niño 3.4 SST region used to define ENSO anomalies and changes. B. Comparison of winter (January) Niño 3.4 SST anomalies (x-axis) with summer (May-August) Niño 3.4 SST changes (y-axis). 2017 (red) stands out as a summer of negative Niño 3.4 SST change (La Niña development) in the absence of strong winter El Niño conditions.

The unusual ‘late-breaking’ La Niña was remarkable in its combined magnitude and timing, but accounts for only a modest fraction of the extreme hurricane activity that later developed. The statistical relationship between Niño 3.4 SST and ACE, for example, suggests an ACE total of ~150, considerably lower than the current 2017 estimate of 226.

Atmospheric wind and divergence patterns

Additional causes of strong 2017 hurricane activity are suggested by regional ASO atmospheric anomalies, illustrated in patterns of lower-tropospheric (925 hPa) winds and relative divergence (Fig. 4A). Negative divergence anomalies (blue shading) reflect areas of enhanced low-level wind convergence, including a well-defined cell of over the Gulf of Mexico, the most extreme observed across the globe. In the tropics, anomalous low-level convergence favors stronger convective ascent and greater accumulation of water vapor and associated latent heat energy from surrounding ocean areas, conditions strongly associated with cyclone formation and intensification. During ASO 2017, strong convergence over the Gulf of Mexico coincided with hurricanes Harvey, Irma, Nate and Katia, which impacted surrounding Gulf coastal areas of the United States and Mexico. ASO wind patterns (Fig. 4A) show that anomalous low-level flow was directed toward the Gulf of Mexico from a coherent zone of enhanced divergence in the subtropical SE Pacific. Over the South Atlantic, a secondary cell of positive divergence anomalies funneled moisture northward over tropical South America and further across the equator toward the tropical North Atlantic.

During La Niña summers (Fig. 4B), anomalous divergence over the central and eastern Pacific generally coincides with enhanced convergence to the east over the Gulf of Mexico, Caribbean Sea, and tropical North Atlantic (Fig. 4B). However, during ASO 2017, regional divergence anomalies displayed a predominantly meridional (north-south) orientation, particularly notable along 90°W (Fig. 4A) where enhanced convergence at 20°N over the Gulf of Mexico contrasted with a cell of anomalous divergence at 20°S in the SE Pacific. Comparable meridional patterns can be seen in composite ASO wind and divergence anomalies during summers with unusually high levels of ACE (≥ 175) (Fig. 4C) and US hurricane landfalls (≥ 3) (Fig. 4D).

Figure 4. August-October (ASO) atmospheric anomalies of low-level (925 hPa) relative divergence (shading) and winds (vectors). A. 2017. B. La Niña. C. ACE ≥ 175. D. US Landfalls ≥ 3.

Remarkably, the hurricane-favorable divergence anomalies of ASO 2017 were already established in early summer (May-July, MJJ) (Fig. 5A), preceding development of La Niña and strong late-summer hurricane activity. The persistence of this regional circulation pattern from early to late summer (Figs. 5A, 5C) can likely be attributed to interactions between the upper ocean and the overlying atmosphere that tend to reinforce pre-existing anomalies of SST, divergence and regional winds.

Figure 5. Atmosphere-ocean anomalies and changes during the summer of 2017. A. May-July (MJJ) anomalies of atmospheric 925 hPa divergence (shading) and winds (vectors). B. MJJ SST anomalies (°C). C. August-October (ASO) divergence and wind anomalies (same as Fig. 4A). D. Anomalous winds (vectors) and SST changes (°C shading) during May-August 2017. Pacific Meridional Mode signatures are highlighted by ovals in panels C and D.    

Atlantic and Pacific Meridional Modes

The Atlantic and Pacific Meridional Modes (AMM and PMM) (Chiang and Vimont 2004)[1] describe recurrent, organized patterns of opposite SST and atmospheric divergence anomalies that tend to form on either side of the equator in the tropical Atlantic and eastern Pacific. In each basin, meridional dipole anomaly patterns tend to be sustained or amplified by anomalous low-level cross-equatorial winds that are strong in areas of anomalous divergence and lower SST, and weak in areas of convergence and warmer SSTs in the opposite hemisphere.

During early summer (MJJ) 2017, warm SSTs (Fig. 6B) and anomalous convergence (Fig. 6A) prevailed in tropical areas north of the equator from the NE Pacific to the Atlantic. Anomalous convergence in the north, centered over the Gulf of Mexico, was fed largely by cross-equatorial southerly winds originating from areas of anomalous divergence and relatively low SSTs in the SE Pacific and South Atlantic. From May to August, mean southerly winds intensified along the Pacific coast of South America, increasing evaporative cooling rates and lowering SE Pacific SSTs, while La Niña conditions developed simultaneously with cooling of the equatorial eastern Pacific (Fig. 6D).

Equatorward winds in the Southern Hemisphere tend to veer westward due to the Coriolis effect, a consequence of the earth’s rotation. In the SE Pacific, anomalous equatorward flow from May to August 2017 shows a pattern of westward steering favorable to reinforcement of the mean southeasterly trade winds, increases in overall wind speeds and anomalous turbulent heat losses by the surface ocean.

During this period, SE Pacific SST cooling coincides with areas of anomalous equatorward and southeasterly winds, but displays a sharp northern boundary along the equator. This spatial pattern of cooling is also consistent with distinctive cross-equatorial ocean-atmosphere patterns associated with the Pacific Meridional Mode and the Coriolis effect. As anomalous southerly flow crosses the equator into the Northern Hemisphere, the Coriolis effect generates an opposite eastward steering of poleward winds that counters the flow of mean northeasterly trade winds, reducing wind speeds and producing a warming tendency that enhances the cross-equatorial SST gradient, a key indicator of PMM processes. While NE Pacific warming is not apparent from May to August 2017, the SST contrast across the equator clearly intensified with with cooling in the south, while convergence increased over the Gulf of Mexico with anomalous cross-equatorial winds originating in the SE Pacific. Opposite, equatorially-symmetric divergence anomalies in the eastern Pacific provide additional evidence suggesting that positive ocean-atmosphere feedbacks of the Pacific Meridional Mode contributed to exceptional levels of low-level atmospheric convergence and hurricane activity over the Gulf of Mexico. The combined effects of PMM and AMM feedbacks were likely important contributors to high US landfall totals and extreme ACE anomalies over the broader North Atlantic.

Regional divergence anomalies in ASO 2017 (Fig. 7A) share general features with those of active hurricane seasons in 2008 (ACE 146, 3 US landfalls, Fig. 7B) and 1999 (ACE 173, 3 US landfalls, Fig. 7C). In each case, high levels of ACE and US landfalls coincided with a coherent cell of anomalous ASO convergence that covered much of the area from the tropical NE Pacific to the tropical North Atlantic. By contrast, anomalous low-level divergence was fully or nearly continuous in a surrounding horseshoe pattern above the subtropical South Atlantic, tropical and subtropical areas of the central and eastern Pacific, and midlatitude areas of North America and the North Atlantic.

Figure 6. Historical analogues to 2017 summer atmospheric conditions. A. August-October (ASO) normalized anomalies of 925 hPa relative divergence during 2017 (ACE ~226, 3 US landfalls). B. 2008 (ACE 146, 3 US landfalls). C. 1999 (ACE 173 , 3 US landfalls). Each season displayed anomalous low-level convergence (negative divergence anomalies, blue shading) from the tropical NE Pacific to the tropical North Atlantic, and anomalous divergence (red shading) in a surrounding horseshoe involving areas of the subtropical South Atlantic, South America and the SE Pacific, the tropical-subtropical central Pacific (both hemispheres), and midlatitude areas of North America and the North Atlantic.

Arctic influences

A remarkably stable connection between spring Arctic conditions and US hurricane landfalls (Fig. 7) contributed to our June forecast of 3 landfalling storms in 2017, as later observed. While this Arctic index displays a highly-significant relationship with US landfalls, the underlying processes are not widely known, and remain a subject of continued investigation. In our August forecast update, landfall and ACE estimates were revised downward to modestly above-normal levels of 1.6 and 128, respectively, due competing positive and negative circulation influences suggested by an ensemble of statistical models.

Figure 7. Spring Arctic index and US hurricane landfalls, 1995-2017.


Evidence from the ocean and atmosphere suggests that North Atlantic and US hurricanes vary in response to the combined influences of ENSO, the Atlantic and Pacific and Meridional Modes, and less-understood, but important extratropical processes. CFAN is presently considering these factors and others in our ongoing assessment of the upcoming 2018 North Atlantic hurricane season. Recent history shows that highly active years have occurred consecutively (1998-99, 2003-05), warranting particular attention to developing changes in late 2017 and early 2018.


Filed under: Hurricanes

via Climate Etc.

November 30, 2017 at 04:21PM